Automating and accelerating the additive manufacturing design process with multi-objective constrained evolutionary optimization and HPC/Cloud computing

Author(s):  
Mark A. Buckner ◽  
Lonnie J. Love
Metals ◽  
2019 ◽  
Vol 9 (2) ◽  
pp. 137 ◽  
Author(s):  
Ian Gibson ◽  
Amir Khorasani

The first modern additive manufacturing machines, developed in the early 1990s, primarily made parts using polymers [...]


2021 ◽  
Vol 1 ◽  
pp. 2571-2580
Author(s):  
Filip Valjak ◽  
Angelica Lindwall

AbstractThe advent of additive manufacturing (AM) in recent years have had a significant impact on the design process. Because of new manufacturing technology, a new area of research emerged – Design for Additive Manufacturing (DfAM) with newly developed design support methods and tools. This paper looks into the current status of the field regarding the conceptual design of AM products, with the focus on how literature sources treat design heuristics and design principles in the context of DfAM. To answer the research question, a systematic literature review was conducted. The results are analysed, compared and discussed on three main points: the definition of the design heuristics and the design principles, level of support they provide, as well as where and how they are used inside the design process. The paper highlights the similarities and differences between design heuristics and design principles in the context of DfAM.


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