TY - GEN
T1 - An integrated case study of material selection, testing and optimization
AU - Leary, Martin
AU - Mazur, Maciej
AU - Lumley, Roger
AU - Subic, Aleksandar
PY - 2009
Y1 - 2009
N2 - An opportunity for design improvement through material substitution was identified by experimental assessment of an existing linear actuator. Material selection procedures were used to screen a broad database of materials to identify feasible candidates and quantify their relative merit. Further assessment by numerical methods identified additional opportunities for topological optimisation. Aluminum provides a compromise between the objectives of mass and cost and may provide an opportunity for enhanced material selection. A novel process allows heat treatment of cast aluminum alloys. The increased yield strength provides significant mass reduction opportunities. Traditional material selection tools engage with a large number of candidate materials, but provide little design guidance for the optimisation of a specific scenario. Conversely, numerical optimization provides insight into specific scenarios, but has significant computational cost. The techniques applied in this paper provide an example of the integration of both methods: a course filter rapidly screens a large database, resulting in a subset that can be processed by the numerical methods within available design time.
AB - An opportunity for design improvement through material substitution was identified by experimental assessment of an existing linear actuator. Material selection procedures were used to screen a broad database of materials to identify feasible candidates and quantify their relative merit. Further assessment by numerical methods identified additional opportunities for topological optimisation. Aluminum provides a compromise between the objectives of mass and cost and may provide an opportunity for enhanced material selection. A novel process allows heat treatment of cast aluminum alloys. The increased yield strength provides significant mass reduction opportunities. Traditional material selection tools engage with a large number of candidate materials, but provide little design guidance for the optimisation of a specific scenario. Conversely, numerical optimization provides insight into specific scenarios, but has significant computational cost. The techniques applied in this paper provide an example of the integration of both methods: a course filter rapidly screens a large database, resulting in a subset that can be processed by the numerical methods within available design time.
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84859226935&partnerID=40&md5=4daf1b1a43c880df4750f4cfb11e90f6
M3 - Conference publication
SP - 345
EP - 356
BT - Proceedings of ICED 09, the 17th International Conference on Engineering Design, DS 58-7
ER -