32 secondary cases on Design for Additive Manufacturing (DfAM) and expert interviews were used to identify motivations, required competencies and performance impact of AM. Findings suggest that weight reduction motivation coupled with topology optimization competency helped in reducing weight and the number of parts. Material choice competency helped in reducing weight or in improving part functionality or quality. Weight reduction also required design simulation. Choice of appropriate AM process parameters was needed to reduce production time. 8 case studies indicated a collaborative process between DfAM partners.
|Titel||26 th EurOMA Conference - Operations adding value to Society|
|Status||Udgivet - 2019|
|Begivenhed||26th EurOMA Conference: Operations adding value to society - Hanken School of Economics, Helsinki, Finland|
Varighed: 17. jun. 2019 → 19. jun. 2019
|Konference||26th EurOMA Conference|
|Lokation||Hanken School of Economics|
|Periode||17/06/2019 → 19/06/2019|