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  • 1.
    Amadori, Kristian
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Krus, Petter
    Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, The Institute of Technology.
    Flexible and Robust CAD Models for Design Automation2012In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 26, no 2, p. 180-195Article in journal (Refereed)
    Abstract [en]

    This paper explores novel methodologies for enabling Multidisciplinary Design Optimization (MDO) of complex engineering products. To realize MDO, Knowledge Based Engineering (KBE) is adopted with the aim of achieving design reuse and automation. The aim of the on-going research at Linköping University is to shift from manual modelling of disposable geometries to Computer Aided Design (CAD) automation by introducing generic high-level geometry templates. Instead of repeatedly modelling similar instances of objects, engineers should be able to create more general models that can represent entire classes of objects. The proposed methodology enables utilization of commercial design tools, hence taking industrial feasibility into consideration. High Level CAD templates (HLCt) will be proposed and discussed as the building blocks of flexible and robust CAD models, which in turn enables high-fidelity geometry in the MDO loop. Quantification of the terms flexibility and robustness is also presented, providing a means to measure the quality of the geometry models. Finally, application examples are presented in which the outlined framework is evaluated. The applications have been chosen from three ongoing research projects aimed at automating the design of transport aircraft, industrial robots, and micro air vehicles.

  • 2.
    Feng, Xiaolong
    et al.
    ABB Corporate Research, Västerås, Sweden.
    Wäppling, Daniel
    ABB Robotics, Västerås, Sweden.
    Andersson, Hans
    ABB Corporate Research, Västerås, Sweden.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Multi-Objective Optimization in Industrial Robotic Cell Design2010In: ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 1: 36th Design Automation Conference, Parts A and B, The American Society of Mechanical Engineers (ASME) , 2010, Vol. 1, p. 815-823Conference paper (Refereed)
    Abstract [en]

    It has become a common practice to conduct simulation-based design of industrial robotic cells, where Mechatronic system model of an industrial robot is used to accurately predict robot performance characteristics like cycle time, critical component lifetime, and energy efficiency. However, current robot programming systems do not usually provide functionality for finding the optimal design of robotic cells. Robot cell designers therefore still face significant challenge to manually search in design space for achieving optimal robot cell design in consideration of productivity measured by the cycle time, lifetime, and energy efficiency. In addition, robot cell designers experience even more challenge to consider the trade-offs between cycle time and lifetime as well as cycle time and energy efficiency. In this work, utilization of multi-objective optimization to optimal design of the work cell of an industrial robot is investigated. Solution space and Pareto front are obtained and used to demonstrate the trade-offs between cycle-time and critical component lifetime as well as cycle-time and energy efficiency of an industrial robot. Two types of multi-objective optimization have been investigated and benchmarked using optimal design problem of robotic work cells: 1) single-objective optimization constructed using Weighted Compromise Programming (WCP) of multiple objectives and 2) Pareto front optimization using multi-objective generic algorithm (MOGA-II). Of the industrial robotics significance, a combined design optimization problem is investigated, where design space consisting of design variables defining robot task placement and robot drive-train are simultaneously searched. Optimization efficiency and interesting trade-offs have been explored and successful results demonstrated.

  • 3.
    Gopinath, Varun
    et al.
    Linköping University, Department of Management and Engineering, Machine Design.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design.
    Gaziza, William
    TEMPLATE DRIVEN CONCEPTUAL DESIGN OF HIGH SPEED TRAINS2014In: Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 40th Design Automation Conference, Buffalo, New York, USA, 2014, Vol. 2AConference paper (Refereed)
  • 4.
    Honarpardaz, Mohammadali
    et al.
    ABB Corporate Research, Västerås, Sweden.
    Andersson (Ölvander), Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Fast finger design automation for industrial robots2019In: Robotics and Autonomous Systems, ISSN 0921-8890, E-ISSN 1872-793X, Vol. 113, p. 120-131Article in journal (Refereed)
    Abstract [en]

    Finger design automation is highly demanded from robot industries to fulfill the requirements of the agile market. Nevertheless, literature lacks a promising approach to automate the design process of reliable fingers for industrial robots. Hence, this work proposes the generic optimized finger design (GOFD) method which automates the design process of single- and multi-function finger grippers. The proposed method includes an optimization algorithm to minimize the design process time. The method is utilized to generate fingers for several groups of objects. Results show that the GOFD method outperforms existing methods and is able to reduce the design time by an average of 16,600 s. While the proposed method substantially reduces the design process time of fingers, the quality of grasps is comparable to the traditional exhaustive search method. The grasp quality of GOFD deviates only 0.47% from the absolute best grasp known from the exhaustive search method in average. The designed fingers are lastly manufactured and experimentally verified.

    The full text will be freely available from 2020-01-11 11:40
  • 5.
    Nezhadali, Vaheed
    et al.
    Linköping University, Department of Electrical Engineering. Linköping University, The Institute of Technology.
    Khaleeq Kayani, Omer
    Razzaq, Hannan
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    EVALUATION OF AN AUTOMATED DESIGN AND OPTIMIZATION FRAMEWORK FOR MODULAR ROBOTS USING A PHYSICAL PROTOTYPE2011In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4, 2011, p. 195-204Conference paper (Refereed)
    Abstract [en]

    This paper presents an automated design and evaluation framework, by integrating design tools from various engineering domains for rapid evaluation of design alternatives. The presented framework enables engineers to perform simulation based optimizations. As a proof of concept a seven degree of freedom modular robot is designed and optimized using the automated framework. The designed robot is then manufactured to evaluate the framework using preliminary tests.

  • 6.
    Papageorgiou, Athanasios
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Amadori, Kristian
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Andersson (Ölvander), Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Multidisciplinary Optimization of Unmanned Aircraft Considering Radar Signature, Sensors, and Trajectory Constraints2018In: Journal of Aircraft, ISSN 0021-8669, E-ISSN 1533-3868, Vol. 55, no 4, p. 1629-1640Article in journal (Refereed)
    Abstract [en]

    This paper presents a multidisciplinary design optimization framework applied to the development of unmanned aerial vehicles with a focus on radar signature and sensor performance requirements while simultaneously considering the flight trajectory. The primary emphasis herein is on the integration and development of analysis models for the calculation of the radar cross section and sensor detection probability, whereas traditional aeronautical disciplines such as aerodynamics and mission simulation are also taken into account in order to ensure a flyable concept. Furthermore, this work explores the effect of implementing trajectory constraints as a supplementary input to the multidisciplinary design optimization process and presents a method that enables the optimization of the aircraft under a three-dimensional flight scenario. To cope with the additional computational cost of the high-fidelity radar cross section and sensor calculations, the use of metamodels is also investigated and an efficient development methodology that can provide high-accuracy approximations for this particular problem is proposed. Overall, the operation and performance of the framework are evaluated against five surveillance scenarios, and the obtained results show that the implementation of trajectory constraints in the optimization has the potential to yield better designs by 12–25% when compared to the more “traditional” problem formulations.

  • 7.
    Safavi, Edris
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Gavel, Hampus
    SAAB, Department Modeling and Simulat Vehicle Syst, Linkoping, Sweden.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, Faculty of Science & Engineering.
    Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design2015In: Concurrent Engineering - Research and Applications, ISSN 1063-293X, E-ISSN 1531-2003, Vol. 23, no 3, p. 236-249Article in journal (Refereed)
    Abstract [en]

    In a product development process, it is crucial to understand and evaluate multiple and synergic aspects of systems such as performance, cost, reliability, and safety. These aspects are mainly considered during later stages of the design process. However, in order to improve the foundations for decision-making, this article presents methods that are intended to increase the engineering knowledge in the early design phases. In complex products, different systems from a multitude of engineering disciplines have to work tightly together. Collaborative design is described as a process where a product is designed through the collective and joint efforts of domain experts. A collaborative multidisciplinary design optimization process is therefore proposed in the conceptual design phase in order to increase the likelihood of more accurate decisions being taken early on. The performance of the presented framework is demonstrated in an industrial application to design aircraft systems in the conceptual phase.

  • 8.
    Safavi, Edris
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Rapid Concept Realization for Conceptual Design of Modular Industrial Robots2010In: Proceedings of NordDesign 2010, the 8th International NordDesign Conference, Göteborg, Sweden, 25.-27.08. 2010 / [ed] Andreas Dagman and Rikard Söderberg, 2010, p. 375-384Conference paper (Refereed)
    Abstract [en]

    When conducting design on novel mechatronic products, it can be valuable to test and evaluate the performance and properties of the concepts throughout the design process by producing them as downscaled prototypes, see Jouannet et al. [1]. This is especially true when the product is of unconventional design and the designer can get increased confidence of the proposed concept by testing it as a sub scaled version. Nonetheless, the process of realization of new concept should be done in a rapid fashion in order not to halt the design process and simultaneously increasing explicit knowledge about the concept. A case study will be illustrated which demonstrates how fully automated design and construction of downscaled prototypes is performed.

  • 9.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Design Automation for Multidisciplinary Optimization: A High Level CAD Template Approach2012Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In the design of complex engineering products it is essential to handle cross-couplings and synergies between subsystems. An emerging technique, which has the potential to considerably improve the design process, is multidisciplinary design optimization (MDO).

    MDO requires a concurrent and parametric design framework. Powerful tools in the quest for such frameworks are design automation (DA) and knowledge based engineering (KBE). The knowledge required is captured and stored as rules and facts to finally be triggered upon request. A crucial challenge is how and what type of knowledge should be stored in order to realize generic DA frameworks.

    In the endeavor to address the mentioned challenges, this thesis proposes High Level CAD templates (HLCts) for geometry manipulation and High Level Analysis templates (HLAts) for concept evaluations. The proposed methods facilitate modular concept generation and evaluation, where the modules are first assembled and then evaluated automatically. The basics can be compared to parametric LEGO® blocks containing a set of design and analysis parameters. These are produced and stored in databases, giving engineers or a computer agent the possibility to first select and place out the blocks and then modify the shape of the concept parametrically, to finally analyze it. The depicted methods are based on physic-based models, meaning less design space restrictions compared to empirical models.

    A consequence of physic-based models is more time-consuming evaluations, reducing the probability of effective implementation in an iterative intensive MDO. To reduce the evaluation time, metamodels are used for faster approximations. Their implementation, however, is not without complications. Acquiring accurate metamodels requires a non-negligible investment in terms of design space samplings. The challenge is to keep the required sampling level as low as possible.

    It will be further elaborated that many automated concurrent engineering platforms have failed because of incorrect balance between automation and manual operations. Hence, it is necessary to find an equilibrium that maximizes the efficiency of DA and MDO.

    To verify the validity of the presented methods, three application examples are presented and evaluated. These are derived from industry and serve as test cases for the proposed methods.

    List of papers
    1. Design Automation of Modular Industrial Robots
    Open this publication in new window or tab >>Design Automation of Modular Industrial Robots
    2009 (English)In: ASME CIE09, San Diego, USA, Sep. 2009, 2009, p. 655-664Conference paper, Published paper (Other academic)
    Abstract [en]

    This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process.

    To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.

    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-52472 (URN)10.1115/DETC2009-87271 (DOI)978-0-7918-4899-9 (ISBN)978-0-7918-3856-3 (ISBN)
    Conference
    ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009; San Diego, CA; United States
    Available from: 2009-12-22 Created: 2009-12-22 Last updated: 2014-10-02Bibliographically approved
    2. Product Platform Automation for Optimal Configuration of Industrial Robot Families
    Open this publication in new window or tab >>Product Platform Automation for Optimal Configuration of Industrial Robot Families
    2011 (English)In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4, 2011, p. 1-10Conference paper, Published paper (Refereed)
    Abstract [en]

    Product platform design is a well recognized methodology to effectively increase range and variety of products and simultaneously decrease internal variety of components by utilizing modularization. The tradeoff between product performance and product family commonality has to be carefully balanced in order to for the company to meet market requirements and simultaneously obtain economy of scale. This paper presents a framework based on high fidelity analyses tools that concurrently optimize an industrial robot family as well as the common platform. The product family design problem is formally stated as a multi-objective optimization problem, which is solved using a multi-objective Genetic Algorithm.

    National Category
    Other Mechanical Engineering
    Identifiers
    urn:nbn:se:liu:diva-71788 (URN)
    Conference
    18th International Conference on Engineering Design (ICED11), August 15-18, Copenhagen, Denmark
    Available from: 2011-11-04 Created: 2011-11-04 Last updated: 2012-09-24Bibliographically approved
    3. Flexible and Robust CAD Models for Design Automation
    Open this publication in new window or tab >>Flexible and Robust CAD Models for Design Automation
    2012 (English)In: Advanced Engineering Informatics, ISSN 1474-0346, E-ISSN 1873-5320, Vol. 26, no 2, p. 180-195Article in journal (Refereed) Published
    Abstract [en]

    This paper explores novel methodologies for enabling Multidisciplinary Design Optimization (MDO) of complex engineering products. To realize MDO, Knowledge Based Engineering (KBE) is adopted with the aim of achieving design reuse and automation. The aim of the on-going research at Linköping University is to shift from manual modelling of disposable geometries to Computer Aided Design (CAD) automation by introducing generic high-level geometry templates. Instead of repeatedly modelling similar instances of objects, engineers should be able to create more general models that can represent entire classes of objects. The proposed methodology enables utilization of commercial design tools, hence taking industrial feasibility into consideration. High Level CAD templates (HLCt) will be proposed and discussed as the building blocks of flexible and robust CAD models, which in turn enables high-fidelity geometry in the MDO loop. Quantification of the terms flexibility and robustness is also presented, providing a means to measure the quality of the geometry models. Finally, application examples are presented in which the outlined framework is evaluated. The applications have been chosen from three ongoing research projects aimed at automating the design of transport aircraft, industrial robots, and micro air vehicles.

    Keywords
    Design automation, Multidisciplinary Design Optimization, Robustness, Flexibility, Knowledge-Based Engineering
    National Category
    Mechanical Engineering
    Identifiers
    urn:nbn:se:liu:diva-73108 (URN)10.1016/j.aei.2012.01.004 (DOI)000308122400003 ()
    Available from: 2011-12-16 Created: 2011-12-16 Last updated: 2017-12-08Bibliographically approved
    4. Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates
    Open this publication in new window or tab >>Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates
    2012 (English)In: Journal of mechanical design (1990), ISSN 1050-0472, E-ISSN 1528-9001, Vol. 134, no 12Article in journal (Refereed) Published
    Abstract [en]

    This paper presents a multidisciplinary design optimization (MDO) framework for automated design of a modular industrial robot. The developed design framework seamlessly integrates High Level CAD templates (HLCt) and physics based high fidelity models for automated geometry manipulation, dynamic simulation, and structural strengthanalysis. In the developed framework, methods such as surrogate models and multilevel optimization are employed in order to speed up the design optimization process. This work demonstrates how a parametric geometric model, based on the concept of HLCt, enables a multidisciplinary framework for multi-objective optimization of a modular industrial robot, which constitutes an example of a complex heterogeneous system.

    Place, publisher, year, edition, pages
    American Society of Mechanic, 2012
    National Category
    Other Mechanical Engineering
    Identifiers
    urn:nbn:se:liu:diva-81878 (URN)10.1115/1.4007697 (DOI)
    Note

    On the day of the defence day the status of this article was: Manuscript

    Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2017-12-07Bibliographically approved
    5. Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots
    Open this publication in new window or tab >>Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots
    2012 (English)In: Proceedings of the ASME InternationalDesign Engineering Technical Conferences & Computers and information in Engineering Conference,Washington, USA, Aug 2012, 2012, p. 833-845Conference paper, Published paper (Other academic)
    Abstract [en]

    Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage inherited complexities.

    This paper presents a high level CAD and CAE design automation methodology which enables fast, efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computationally expensive CAD and CAE models. In addition, various techniques are applied to drastically decrease the number ofsamplings required to create the metamodels. In the final part of the paper, a multi-level optimization strategy is proposed to find the optimal concept.

    As proof of concept, a real world design problem, from ABB industrial robotics, is presented.

    National Category
    Other Mechanical Engineering
    Identifiers
    urn:nbn:se:liu:diva-81879 (URN)10.1115/DETC2012-70867 (DOI)978-0-7918-4502-8 (ISBN)
    Conference
    ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2012), August 12-15, Chicago, USA
    Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2014-11-10Bibliographically approved
  • 10.
    Tarkian, Mehdi
    Linköping University, Department of Mechanical Engineering, Machine Design. Linköping University, The Institute of Technology.
    Design Reuse and Automation: On High Level CAD Modeling for Multidisciplinary Design and Optimization2009Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    THIS THESIS EXPLORES novel CAD modeling methods for design reuse and tomation realization. It will be demonstrated that by applying the described methods, CAD models can be utilized as framework integrators in order to generate geometric input for various engineering analysis tools. Multidisciplinary design can as a result be facilitated in early design due to decreased manual model re-definitions. Furthermore, due to the complex dependency between analysis tools, certain product characteristics can only be evaluated by applying a holistic design approach. Therefore, by applying multidisciplinary design, the level of knowledge about the product will increase.

    To simulate and evaluate the properties and behavior of an engineering product during design, the geometry has to be constantly re-estimated. CAD tools can be employed to produce the requested geometry. However simplifications introduced in the geometry, due to incomplete and imprecise knowledge available in early design, result in inaccurate geometries. Thus re-modeling has to occur in a frequent rate in order to achieve sufficiently accurate models. Hence CAD tool are traditionally applied in later stages of design when the geometry of the product is more or less defined and CAD is applied to generate drafting and technical drawings for manufacturing purposes

    It is therefore proposed that geometries for repetitive components are stored in so called high level templates and instantiated in the CAD model parametrically. Upon instantiation, each instance can be modified parametrically. Given the fact that the instantiation process is automated, the deletion and replacement procedures are also automatic, enabling easier model modifications in the design process.

    To estimate the gained advantage when applying the proposed methods, holistic design frameworks are implemented. The frameworks consist of a combination of various engineering tools which are integrated through a user interface. Given that an information flow between the design tools is implemented, many aspects of design is computed and optimized concurrently. Consequently in order to draw general conclusion concerning geometric modeling, two different design applications with dissimilar requirements are studied in this work, namely aircraft and industrial robots.

    List of papers
    1. Exploring Parametric CAD-models in Aircraft Conceptual Design
    Open this publication in new window or tab >>Exploring Parametric CAD-models in Aircraft Conceptual Design
    2008 (English)In: 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2008, Reston, VA, USA: American Institute of Aeronautics and Astronautics, 2008Conference paper, Published paper (Other academic)
    Abstract [en]

    The ever fast growing information technology is enabling the re-definition of early stages of aircraft design which have been restricted mostly by statistical and empirical approaches because of lengthy and costly simulation times. This paper will describe a methodology based on parametric and generic CAD modeling methods which will save time when performing repetitive tasks automatically. Furthermore, it enables greater comprehension by giving a holistic view of the aircraft systems because of the proposed multidisciplinary and modular framework. The framework involves a centralized easy to use interface which is coupled to a series of analyses tools. The proposed methods have been applied in student projects of the course -Aircraft Conceptual Design- from Linköping University where it has shown great promises.

    Place, publisher, year, edition, pages
    Reston, VA, USA: American Institute of Aeronautics and Astronautics, 2008
    Keywords
    Aircraft design, CAD, Multidisciplinary Design, Panel Code Aerodynamic analysis
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-43593 (URN)10.2514/6.2008-2162 (DOI)74349 (Local ID)74349 (Archive number)74349 (OAI)
    Conference
    49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 16th AIAA/ASME/AHS Adaptive Structures Conferenc, Schaumburg, Illinois, USA, 7-10 April 2008
    Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-08-19Bibliographically approved
    2. Aircraft Parametric 3D Modeling and Panel Code Analysisfor Conceptual Deisgn
    Open this publication in new window or tab >>Aircraft Parametric 3D Modeling and Panel Code Analysisfor Conceptual Deisgn
    2008 (English)In: International Council of the Aeronautical Sciencess ICAS, 2008: Vol. 1, Anchorage, Alaska, USA: International Council of the Aeronautical Sciences (ICAS) , 2008, p. 159-167Conference paper, Published paper (Other academic)
    Abstract [en]

    The ever fast growing information technology is enabling a re-definition of the early stages of aircraft design which have been restricted to mostly statistical and empirical approaches because of lengthy and costly simulation times. A novel framework is being developed at Linköping University offering greater comprehension by enabling a holistic view of the aircraft systems with a multidisciplinary analysis approach, involving a centralized easy to use interface. This paper will depict the modules involving an aerodynamic panel code solver integrated to a parametric CAD model. The connection between these tools is made fully automatic, meaning that any modification on the CAD model will with a press of button be aerodynamically analyzed in the panel solver, including re-meshing and re-writing of a input file and finally re-distributing the output file to all other modules involved in the framework.

    Place, publisher, year, edition, pages
    Anchorage, Alaska, USA: International Council of the Aeronautical Sciences (ICAS), 2008
    Keywords
    Aircraft design, Knowledge based CAD, Multidisciplinary Design, Panel Code Aerodynamic analysis
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-43595 (URN)74351 (Local ID)978-1-60560-715-3 (ISBN)74351 (Archive number)74351 (OAI)
    Conference
    26th Congress of the International Council of the Aeronautical Sciences, Anchorage, Alaska, USA, September 14-19, 2008,
    Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-02-27Bibliographically approved
    3. Integration of Parametric CAD and Dynamic Models for Industrial Robot Design and Optimization
    Open this publication in new window or tab >>Integration of Parametric CAD and Dynamic Models for Industrial Robot Design and Optimization
    2009 (English)In: Volume 3: 28th Computers and Information in Engineering Conference: Parts A and B, New York City, New York, USA: American Society of Mechanical Engineers (ASME) , 2009, p. 761-769Conference paper, Published paper (Refereed)
    Abstract [en]

    This paper presents an approach of integration between multiple analysis tools that covers several engineering disciplines, used for robot design and optimization. There are three main components in this approach namely a highly flexible geometric model, a parametric dynamic simulation model, and a framework for integration of the models and execution of an optimization process through a user friendly interface. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the early design phases for industrial robots.

    Place, publisher, year, edition, pages
    New York City, New York, USA: American Society of Mechanical Engineers (ASME), 2009
    Keywords
    Industrial robot design, Knowledge based CAD, Multidisciplinary Design, Optimization
    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-43594 (URN)10.1115/DETC2008-49919 (DOI)000263939600075 ()74350 (Local ID)978-0-7918-4327-7 (ISBN)0-7918-3831-5 (ISBN)74350 (Archive number)74350 (OAI)
    Conference
    28th Computers and Information in Engineering Conference, Brooklyn, New York, USA, August 3–6, 2008
    Available from: 2009-10-10 Created: 2009-10-10 Last updated: 2014-09-05Bibliographically approved
    4. Design Automation of Modular Industrial Robots
    Open this publication in new window or tab >>Design Automation of Modular Industrial Robots
    2009 (English)In: ASME CIE09, San Diego, USA, Sep. 2009, 2009, p. 655-664Conference paper, Published paper (Other academic)
    Abstract [en]

    This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process.

    To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.

    National Category
    Engineering and Technology
    Identifiers
    urn:nbn:se:liu:diva-52472 (URN)10.1115/DETC2009-87271 (DOI)978-0-7918-4899-9 (ISBN)978-0-7918-3856-3 (ISBN)
    Conference
    ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC/CIE2009; San Diego, CA; United States
    Available from: 2009-12-22 Created: 2009-12-22 Last updated: 2014-10-02Bibliographically approved
  • 11.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    J. Zaldivar Tessier, Francisco
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Aircraft Parametric 3D Modeling and Panel Code Analysisfor Conceptual Deisgn2008In: International Council of the Aeronautical Sciencess ICAS, 2008: Vol. 1, Anchorage, Alaska, USA: International Council of the Aeronautical Sciences (ICAS) , 2008, p. 159-167Conference paper (Other academic)
    Abstract [en]

    The ever fast growing information technology is enabling a re-definition of the early stages of aircraft design which have been restricted to mostly statistical and empirical approaches because of lengthy and costly simulation times. A novel framework is being developed at Linköping University offering greater comprehension by enabling a holistic view of the aircraft systems with a multidisciplinary analysis approach, involving a centralized easy to use interface. This paper will depict the modules involving an aerodynamic panel code solver integrated to a parametric CAD model. The connection between these tools is made fully automatic, meaning that any modification on the CAD model will with a press of button be aerodynamically analyzed in the panel solver, including re-meshing and re-writing of a input file and finally re-distributing the output file to all other modules involved in the framework.

  • 12.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Lundén, Björn
    ABB Corporate Research, Västerås, Sweden.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Integration of Parametric CAD and Dynamic Models for Industrial Robot Design and Optimization2009In: Volume 3: 28th Computers and Information in Engineering Conference: Parts A and B, New York City, New York, USA: American Society of Mechanical Engineers (ASME) , 2009, p. 761-769Conference paper (Refereed)
    Abstract [en]

    This paper presents an approach of integration between multiple analysis tools that covers several engineering disciplines, used for robot design and optimization. There are three main components in this approach namely a highly flexible geometric model, a parametric dynamic simulation model, and a framework for integration of the models and execution of an optimization process through a user friendly interface. To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the early design phases for industrial robots.

  • 13.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Persson, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    ABB Corporate Research, Västerås, Sweden.
    Multidisciplinary design optimization of modular Industrial Robots2011In: Proceedings of the ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, IDETC/CIE 2011, August 28- 31, 2011, Washington, DC, USA, The American Society of Mechanical Engineers (ASME) , 2011, Vol. 5, p. 867-876Conference paper (Refereed)
    Abstract [en]

    This paper presents a multidisciplinary design optimization framework for modular industrial robots. An automated design framework, containing physics based high fidelity models for dynamic simulation and structural strength analyses are utilized and seamlessly integrated with a geometry model.

    The proposed frameworkutilizes well-established methods such as metamodeling and multi-level optimization inorder to speed up the design optimization process. The contributionof the paper is to show that by applying amerger of well-established methods, the computational cost can be cutsignificantly, enabling search for truly novel concepts.

  • 14.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Persson, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates2012In: Journal of mechanical design (1990), ISSN 1050-0472, E-ISSN 1528-9001, Vol. 134, no 12Article in journal (Refereed)
    Abstract [en]

    This paper presents a multidisciplinary design optimization (MDO) framework for automated design of a modular industrial robot. The developed design framework seamlessly integrates High Level CAD templates (HLCt) and physics based high fidelity models for automated geometry manipulation, dynamic simulation, and structural strengthanalysis. In the developed framework, methods such as surrogate models and multilevel optimization are employed in order to speed up the design optimization process. This work demonstrates how a parametric geometric model, based on the concept of HLCt, enables a multidisciplinary framework for multi-objective optimization of a modular industrial robot, which constitutes an example of a complex heterogeneous system.

  • 15.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Vemula, Bhanoday
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots2012In: Proceedings of the ASME InternationalDesign Engineering Technical Conferences & Computers and information in Engineering Conference,Washington, USA, Aug 2012, 2012, p. 833-845Conference paper (Other academic)
    Abstract [en]

    Intricate and complex dependencies between multiple disciplines require iterative intensive optimization processes. To this end, multidisciplinary design optimization (MDO) has been established as a convincing concurrent technique to manage inherited complexities.

    This paper presents a high level CAD and CAE design automation methodology which enables fast, efficient concept generation for MDO. To increase the evaluation speed, global metamodels are introduced to replace computationally expensive CAD and CAE models. In addition, various techniques are applied to drastically decrease the number ofsamplings required to create the metamodels. In the final part of the paper, a multi-level optimization strategy is proposed to find the optimal concept.

    As proof of concept, a real world design problem, from ABB industrial robotics, is presented.

  • 16.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Berry, Patrick
    Linköping University, Department of Mechanical Engineering, Fluid and Mechanical Engineering Systems. Linköping University, The Institute of Technology.
    Exploring Parametric CAD-models in Aircraft Conceptual Design2008In: 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2008, Reston, VA, USA: American Institute of Aeronautics and Astronautics, 2008Conference paper (Other academic)
    Abstract [en]

    The ever fast growing information technology is enabling the re-definition of early stages of aircraft design which have been restricted mostly by statistical and empirical approaches because of lengthy and costly simulation times. This paper will describe a methodology based on parametric and generic CAD modeling methods which will save time when performing repetitive tasks automatically. Furthermore, it enables greater comprehension by giving a holistic view of the aircraft systems because of the proposed multidisciplinary and modular framework. The framework involves a centralized easy to use interface which is coupled to a series of analyses tools. The proposed methods have been applied in student projects of the course -Aircraft Conceptual Design- from Linköping University where it has shown great promises.

  • 17.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Ölvander, Johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    ABB Corporate Research, Västerås.
    Pettersson, Marcus
    ABB Corporate Research, Västerås.
    Design Automation of Modular Industrial Robots2009In: ASME CIE09, San Diego, USA, Sep. 2009, 2009, p. 655-664Conference paper (Other academic)
    Abstract [en]

    This paper presents a novel approach for designing modular robots. There are two main components in this approach namely the modeling methodology of the robot and a framework for simulation of the models and execution of an optimization process.

    To illustrate the presented methodology an integrated analysis tool for an industrial robot is developed combining dynamic and geometric models in a parametric design approach. An optimization case is conducted to visualize the automation capabilities of the proposed framework, and enhance the design for modular industrial robots.

  • 18.
    Tarkian, Mehdi
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    ölvander, johan
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Pettersson, Marcus
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Product Platform Automation for Optimal Configuration of Industrial Robot Families2011In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4, 2011, p. 1-10Conference paper (Refereed)
    Abstract [en]

    Product platform design is a well recognized methodology to effectively increase range and variety of products and simultaneously decrease internal variety of components by utilizing modularization. The tradeoff between product performance and product family commonality has to be carefully balanced in order to for the company to meet market requirements and simultaneously obtain economy of scale. This paper presents a framework based on high fidelity analyses tools that concurrently optimize an industrial robot family as well as the common platform. The product family design problem is formally stated as a multi-objective optimization problem, which is solved using a multi-objective Genetic Algorithm.

  • 19.
    Venkata, Raghu. C. M.
    et al.
    Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, The Institute of Technology.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Jouannet, Christopher
    Linköping University, Department of Management and Engineering, Fluid and Mechatronic Systems. Linköping University, The Institute of Technology.
    Model Based Aircraft Control System Design And Simulation2010In: 27th Congress of the International Council of the Aeronautical Sciences 2010 (ICAS 2010), Proceedings of a meeting held 19-24 September 2010, Nice, France. / [ed] Professor I Grant, Optimage Ltd. on behalf of the International Council of the Aeronautical Sciences (ICAS) , 2010, p. 3338-3347Conference paper (Refereed)
    Abstract [en]

    Development of modern aircrafts has become more and more expensive and time consuming. In order to minimize the development cost, an improvement of the conceptual design phase is needed. The desired goal of the project is to enhance the functionality of an in house produced framework conducted at theDepartment of Machine Design, Link¨ping University, consisting of parametric aircraft models used for conceptual design. The former part of the work consists of the construction of geometric aircraft control surfaces such as flaps, aileron, rudder and elevator parametrically in CATIA V5. The next part of the work involves designing and simulating an Inverse dynamic model in Dymola software. An Excel interface has been developed between CATIA and Dymola. Parameters can be varied in the interface as per user specification; these values are sent to CATIA or Dymola and vice versa. The constructed concept model of control surfaces has been tested for different aircraft shapes and layout. An interface is developed between CATIA, Dymola and Tornado. An optimization case is performed to visualize the automation capability of choosing an actuator from a database for the proposed framework, and enhance the early design phases for aircraft conceptual design.

  • 20.
    Ölvander, Johan
    et al.
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Tarkian, Mehdi
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Feng, Xiaolong
    Linköping University, Department of Management and Engineering, Machine Design. Linköping University, The Institute of Technology.
    Multi-objective Optimization of a family of Industrial Robots2011In: Multi-objective Evolutionary Optimisation for Product Design and Manufacturing / [ed] Wang L., Ng A. H.C., Deb K., Springer Verlag , 2011, p. 189-217Chapter in book (Refereed)
    Abstract [en]

    With the increasing complexity and dynamism in today’s product design and manufacturing, more optimal, robust and practical approaches and systems are needed to support product design and manufacturing activities. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing presents a focused collection of quality chapters on state-of-the-art research efforts in multi-objective evolutionary optimisation, as well as their practical applications to integrated product design and manufacturing. Multi-objective Evolutionary Optimisation for Product Design and Manufacturing consists of two major sections. The first presents a broad-based review of the key areas of research in multi-objective evolutionary optimisation. The second gives in-depth treatments of selected methodologies and systems in intelligent design and integrated manufacturing. Recent developments and innovations in multi-objective evolutionary optimisation make Multi-objective Evolutionary Optimisation for Product Design and Manufacturing a useful text for a broad readership, from academic researchers to practicing engineers.

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