Scalable set-based design optimization and remanufacturing for meeting changing requirements
Paper in proceeding, 2020

Engineering design problems often have open-ended requirements, especially in the early stages of development. Setbased design is a paradigm for exploring, and keeping under consideration, several alternatives so that commitment to a single design can be delayed until requirements are settled. In addition, requirements may change over the lifetime of a component or a system. Novel manufacturing technologies enable designs to be remanufactured to meet changed requirements. By considering this capability during the set-based design optimization process, solutions can be scaled to meet evolving requirements and customer specifications even after commitment. Such an ability can also support a circular economy paradigm based on the return of used or discarded components and systems to working condition. We propose a set-based design methodology to obtain scalable optimal solutions that can satisfy changing requirements through remanufacturing. We first use design optimization and surrogate modeling to obtain parametric optimal designs. This set of parametric optimal designs is then reduced to scalable optimal designs by observing a set of transition rules for the manufacturing process used (additive or subtractive). The methodology is demonstrated by means of a structural aeroengine component that is remanufactured by direct energy deposition of a stiffener to meet higher loading requirements.


Khalil Al Handawi

McGill University

Petter Andersson

GKN Aerospace Sweden

Massimo Panarotto

Chalmers, Industrial and Materials Science, Product Development

Ola Isaksson

Chalmers, Industrial and Materials Science, Product Development

Michael Kokkolaras

McGill University

Proceedings of the ASME Design Engineering Technical Conference

Vol. 11A-2020 V11AT11A031
9780791884003 (ISBN)

ASME 2020 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2020
Virtual, Online, ,

Subject Categories

Production Engineering, Human Work Science and Ergonomics


Aerospace Engineering



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