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Multidisciplinary Automation in Design of Turbine Vane Cooling Channels
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering. (Design Automation Laboratory)ORCID iD: 0000-0003-1745-3869
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7148-037X
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Management and Engineering, Product Realisation. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7210-0209
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2024 (English)In: International Journal of Turbomachinery, Propulsion and Power, ISSN 2504-186X, Vol. 9, no 1, article id 7Article in journal (Refereed) Published
Abstract [en]

In the quest to enhance the efficiency of gas turbines, there is a growing demand for innovative solutions to optimize high-pressure turbine blade cooling. However, the traditional methods for achieving this optimization are known for their complexity and time-consuming nature. We present an automation framework to streamline the design, meshing, and structural analysis of cooling channels, achieving design automation at both the morphological and topological levels. This framework offers a comprehensive approach for evaluating turbine blade lifetime and enabling multidisciplinary design analyses, emphasizing flexibility in turbine cooling design through high-level CAD templates and knowledge-based engineering. The streamlined automation process, supported by a knowledge base, ensures continuity in both the mesh and structural simulation automations, contributing significantly to advancements in gas turbine technology.

Place, publisher, year, edition, pages
MDPI, 2024. Vol. 9, no 1, article id 7
Keywords [en]
multidisciplinary automation, design automation, mesh automation, knowledge-based engineering, turbine vane cooling design
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-201145DOI: 10.3390/ijtpp9010007ISI: 001192494000001OAI: oai:DiVA.org:liu-201145DiVA, id: diva2:1840332
Funder
Vinnova, 2020-04251
Note

Funding: VINNOVA

Available from: 2024-02-23 Created: 2024-02-23 Last updated: 2024-05-21Bibliographically approved
In thesis
1. Adaptive Automation for Customized Products
Open this publication in new window or tab >>Adaptive Automation for Customized Products
2024 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

In today’s fast-paced industrial landscape, the drive for greater efficiency and flexibility in product development has sparked significant interest in innovative automation technologies. This thesis explores the usefulness of various automation techniques for customized products such as Knowledge-Based Engineering (KBE), Multidisciplinary Optimization (MDO) and machine learning frameworks.

The research begins by establishing an automated framework for fixture design, combining design automation and MDO to streamline the design process. It then moves to optimizing gas turbines, introducing an automation framework that merges CAD templates with KBE principles.

For complex and unstructured production, this thesis explores the use of Reinforcement Learning (RL) to tackle challenges in unstructured manufacturing. By utilizing lightweight physics-based engines and RL, the research advances automated assembly validation and mobile robot operations, pushing the boundaries of adaptive production automation. Furthermore, a framework is developed, which integrates smoothly with industrial robotic platforms showcases practical automation solutions and highlights the adaptability and applicability of digital twin technology in real-world situations.

This thesis contributes to the field of product development by providing innovative solutions that are rooted in multidisciplinary research. It bridges the theoretical and practical aspects of automation with solutions that overcomes the obstacles to realize seamless integration between digital and physical realities in a manufacturing context.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2024. p. 46
Series
Linköping Studies in Science and Technology. Licentiate Thesis, ISSN 0280-7971 ; 1997
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
urn:nbn:se:liu:diva-203626 (URN)10.3384/9789180756785 (DOI)9789180756778 (ISBN)9789180756785 (ISBN)
Presentation
2024-06-14, ACAS, A Building, Campus Valla, Linköping, 10:15 (English)
Opponent
Supervisors
Available from: 2024-05-21 Created: 2024-05-21 Last updated: 2024-05-29Bibliographically approved

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Nambiar, SanjayAnanno, Anan AshrabiWiberg, AntonTarkian, Mehdi

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