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Tarkian, Mehdi
Publications (10 of 20) Show all publications
Honarpardaz, M., Andersson (Ölvander), J. & Tarkian, M. (2019). Fast finger design automation for industrial robots. Robotics and Autonomous Systems, 113, 120-131
Open this publication in new window or tab >>Fast finger design automation for industrial robots
2019 (English)In: Robotics and Autonomous Systems, ISSN 0921-8890, E-ISSN 1872-793X, Vol. 113, p. 120-131Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Elsevier, 2019
Keywords
Design automation, Fingers design, Multi-function fingers, Industrial grippers, Optimization, Robotics
National Category
Design Robotics
Identifiers
urn:nbn:se:liu:diva-153950 (URN)10.1016/j.robot.2018.12.011 (DOI)000459358000010 ()2-s2.0-85060074455 (Scopus ID)
Note

Funding agencies: European Communitys Framework Programme Horizon 2020 [644938 - SARAFun]

Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-03-29Bibliographically approved
Papageorgiou, A., Tarkian, M., Amadori, K. & Andersson (Ölvander), J. (2018). Multidisciplinary Optimization of Unmanned Aircraft Considering Radar Signature, Sensors, and Trajectory Constraints. Journal of Aircraft, 55(4), 1629-1640
Open this publication in new window or tab >>Multidisciplinary Optimization of Unmanned Aircraft Considering Radar Signature, Sensors, and Trajectory Constraints
2018 (English)In: Journal of Aircraft, ISSN 0021-8669, E-ISSN 1533-3868, Vol. 55, no 4, p. 1629-1640Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
American Institute of Aeronautics and Astronautics, 2018
Keywords
UAV, MDO, RCS, Trajectory, Sensors
National Category
Aerospace Engineering
Identifiers
urn:nbn:se:liu:diva-150980 (URN)10.2514/1.C034314 (DOI)000449304100025 ()2-s2.0-85050865062 (Scopus ID)
Funder
VINNOVA, 2013-03758
Note

Funding agencies: Innovative Multidisciplinary Product Optimization (IMPOz) project of Swedens innovation agency VINNOVA [2013-03758]

Available from: 2018-09-07 Created: 2018-09-07 Last updated: 2019-11-13Bibliographically approved
Safavi, E., Tarkian, M., Gavel, H. & Ölvander, J. (2015). Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design. Concurrent Engineering - Research and Applications, 23(3), 236-249
Open this publication in new window or tab >>Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design
2015 (English)In: Concurrent Engineering - Research and Applications, ISSN 1063-293X, E-ISSN 1531-2003, Vol. 23, no 3, p. 236-249Article in journal (Refereed) Published
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.

Place, publisher, year, edition, pages
Sage Publications, 2015
Keywords
conceptual design; collaborative design; aircraft system design; multidisciplinary design optimization
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-122539 (URN)10.1177/1063293X15587020 (DOI)000362993200005 ()
Note

Funding Agencies|VINNOVA (Swedens innovation agency) through the IMPOz project [2013-03758]

Available from: 2015-11-09 Created: 2015-11-06 Last updated: 2017-12-01
Gopinath, V., Tarkian, M., Ölvander, J. & Gaziza, W. (2014). TEMPLATE DRIVEN CONCEPTUAL DESIGN OF HIGH SPEED TRAINS. In: Proceedings of the ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: 40th Design Automation Conference. Paper presented at ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.. Buffalo, New York, USA, 2A
Open this publication in new window or tab >>TEMPLATE DRIVEN CONCEPTUAL DESIGN OF HIGH SPEED TRAINS
2014 (English)In: 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, Published paper (Refereed)
Place, publisher, year, edition, pages
Buffalo, New York, USA: , 2014
Series
Linköping Electronic Conference Proceedings, ISSN 1650-3686, E-ISSN 1650-3740
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-112942 (URN)10.1115/DETC2014-34045 (DOI)978-0-7918-4631-5 (ISBN)
Conference
ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.
Available from: 2016-01-04 Created: 2014-12-28 Last updated: 2018-02-15
Tarkian, M. (2012). Design Automation for Multidisciplinary Optimization: A High Level CAD Template Approach. (Doctoral dissertation). Linköping: Linköping University Electronic Press
Open this publication in new window or tab >>Design Automation for Multidisciplinary Optimization: A High Level CAD Template Approach
2012 (English)Doctoral 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.

Abstract [sv]

Vid utvecklingen av komplexa och tätt integrerade maskintekniska produkter är det viktigt att hantera gränsöverskridande kopplingar och synergier mellan olika delsystem. En ny teknik, som har potential att drastiskt förbättra konstruktionsprocessen, är multidisciplinär design optimering (MDO).

En MDO process kräver ett integrerat och parametrisk konstruktionsramverk. I detta syfte är design automation (DA) och knowledge based engineering (KBE) lovande tekniker för att stödja parametriska konstruktionsramverk. En avgörande utmaning ligger i hur och vilken typ av kunskap som bör förvaras för att förverkliga en generell DA ramverk.

Därför föreslås high level CAD template (HLCT) för geometri manipulation och high level Analysis template (HLAt) för koncept utvärderingar. Detta gör att användaren kan bygga modeller i mindre moduler som sedan monteras och utvärderas automatiskt. Grunderna kan jämföras med parametriska LEGO ® block som innehåller en uppsättning av design och analys parametrar. Dessa produceras och lagras i databaser, vilket ger ingenjörer eller en datoragent möjligheten att först välja och placera ut blocken och sedan ändra formen på dem parametriskt, för att slutligen analysera produkten. Metoderna är baserade på fysikbaserade modeller, vilket innebär mindre begränsningar jämfört med empiriska modeller.

Nackdelen med fysikbaserade modeller är tidskrävande utvärderingar, vilket gör genomförandet av dem i en iterativintensiv MDO opraktisk. För att minska utvärderingstiden införs metamodeller för snabbare approximationer. Att implementera metamodeller är dock inte utan komplikationer. Metamodeller kräver en icke försumbar investering i form av utvärderingar av fysikbaserade modeller för att nå en acceptabel approximation. Utmaningen är att hålla nivån på antalet iterationer så låg som möjligt.

Det kommer att redogöras att många samtidiga DA plattformar har misslyckats på grund av felaktig uppskattning gällande balansen mellan manuella och automatiserade operationer. Det är ytterst nödvändigt att hitta rätt balans för att maximera effektiviteten av DA och MDO.

För att verifiera giltigheten av de presenterade metoderna används tre applikationsexempel från industrin.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2012. p. 100
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1479
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-81880 (URN)978-91-7519-790-6 (ISBN)
Public defence
2012-10-19, ACAS, Campus Valla, Linköpings universitet, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2012-09-24 Created: 2012-09-24 Last updated: 2012-09-26Bibliographically approved
Amadori, K., Tarkian, M., Ölvander, J. & Krus, P. (2012). Flexible and Robust CAD Models for Design Automation. Advanced Engineering Informatics, 26(2), 180-195
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
Tarkian, M., Vemula, B., Feng, X. & Ölvander, j. (2012). Metamodel Based Design Automation – Applied on Multidisciplinary Design Optimization of Industrial Robots. In: Proceedings of the ASME InternationalDesign Engineering Technical Conferences & Computers and information in Engineering Conference,Washington, USA, Aug 2012: . Paper presented at ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (IDETC/CIE2012), August 12-15, Chicago, USA (pp. 833-845).
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
Tarkian, M., Persson, J., Ölvander, j. & Feng, X. (2012). Multidisciplinary Design Optimization of Modular Industrial Robots by Utilizing High Level CAD templates. Journal of mechanical design (1990), 134(12)
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
Nezhadali, V., Khaleeq Kayani, O., Razzaq, H. & Tarkian, M. (2011). EVALUATION OF AN AUTOMATED DESIGN AND OPTIMIZATION FRAMEWORK FOR MODULAR ROBOTS USING A PHYSICAL PROTOTYPE. In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4. Paper presented at 18th International Conference on Engineering Design (ICED11), 15-18 August 2011, Copenhagen, Denmark (pp. 195-204).
Open this publication in new window or tab >>EVALUATION OF AN AUTOMATED DESIGN AND OPTIMIZATION FRAMEWORK FOR MODULAR ROBOTS USING A PHYSICAL PROTOTYPE
2011 (English)In: Proceedings of the 18th International Conference on Engineering Design (ICED11), Vol. 4, 2011, p. 195-204Conference paper, Published 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.

Keywords
SIMULATION-BASED OPTIMISATION; MULTIDISCIPLINARY DESIGN; MODULAR ROBOT; CAD AUTOMATION; AUTOMATED DESIGN
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-71789 (URN)
Conference
18th International Conference on Engineering Design (ICED11), 15-18 August 2011, Copenhagen, Denmark
Available from: 2011-11-04 Created: 2011-11-04 Last updated: 2011-12-19
Tarkian, M., Persson, J., Ölvander, J. & Feng, X. (2011). Multidisciplinary design optimization of modular Industrial Robots. In: 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: . Paper presented at The 37th Design Automation Conference (DAC), ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington DC, USA, August 28-31 (pp. 867-876). The American Society of Mechanical Engineers (ASME), 5
Open this publication in new window or tab >>Multidisciplinary design optimization of modular Industrial Robots
2011 (English)In: 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, Published 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.

Place, publisher, year, edition, pages
The American Society of Mechanical Engineers (ASME), 2011
Keywords
MDO, CAD, Optimization
National Category
Other Mechanical Engineering
Identifiers
urn:nbn:se:liu:diva-71765 (URN)10.1115/DETC2011-48196 (DOI)000324076700080 ()978-0-7918-5482-2 (ISBN)
Conference
The 37th Design Automation Conference (DAC), ASME 2011 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Washington DC, USA, August 28-31
Available from: 2011-11-10 Created: 2011-11-04 Last updated: 2016-05-13Bibliographically approved
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