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contributor authorBarroqueiro, B.
contributor authorAndrade-Campos, A.
contributor authorDias-de-Oliveira, J.
contributor authorValente, R. A. F.
date accessioned2022-02-05T21:48:17Z
date available2022-02-05T21:48:17Z
date copyright3/19/2021 12:00:00 AM
date issued2021
identifier issn1050-0472
identifier othermd_143_9_091703.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276372
description abstractThe potential of additive layer manufacturing (ALM) is high, with a whole new set of manufacturable parts with unseen complexity being offered. Moreover, the combination of topology optimization (TO) with ALM has brought mutual advantages. However, the transition between TO and ALM is a nontrivial step that requires a robust methodology. Thus, the purpose of this work is to evaluate the capabilities of adopting the commonly used Laplacian smoothing methodology as the bridging tool between TO and ALM. Several algorithms are presented and compared in terms of efficiency and performance. Most importantly, a different concept of Laplacian smoothing is presented as well as a set of metrics to evaluate the performance of the algorithms, with the advantages and disadvantages of each algorithm being discussed. In the end, the proposed mutable diffusion Laplacian algorithm is presented and exhibits less volume shrinkage and shows better preservation of some geometrical features such as thin members and edges. Moreover, a new volume constraint is presented, decreasing the resulting structural changes in the presented geometry and improving the final mesh quality.
publisherThe American Society of Mechanical Engineers (ASME)
titleBridging Between Topology Optimization and Additive Manufacturing via Laplacian Smoothing
typeJournal Paper
journal volume143
journal issue9
journal titleJournal of Mechanical Design
identifier doi10.1115/1.4049864
journal fristpage091703-1
journal lastpage091703-9
page9
treeJournal of Mechanical Design:;2021:;volume( 143 ):;issue: 009
contenttypeFulltext


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