Scalable Set-Based Design Optimization and Remanufacturing for Meeting Changing Requirements
Journal article, 2021

Design requirements are often uncertain in the early stages of product development. Set-based 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 may 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.

additive manufacturing

set-based design

design flexibility

design for remanufacturing

design optimization

Author

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

Journal of Mechanical Design - Transactions of the ASME

1050-0472 (ISSN)

Vol. 143 2 021702

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Design

DOI

10.1115/1.4047908

More information

Latest update

1/21/2021