eprintid: 19154
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/91/54
datestamp: 2024-06-04 14:11:36
lastmod: 2024-06-04 14:11:36
status_changed: 2024-06-04 14:05:01
type: article
metadata_visibility: show
creators_name: Gebremedhen, H.S.
creators_name: Woldemichael, D.E.
creators_name: Hashim, F.M.
creators_name: Altaf, K.
creators_name: Chong, H.C.
title: Effect of Filtering Techniques in Manufacturing of Optimal Topologies Using Additive Manufacturing
ispublished: pub
keywords: Additives; Printing presses; Shape optimization; Structural optimization; Topology, Cubepro; Design domains; Filtering technique; Material distribution; Mathematical method; Optimal materials; Optimal topologies; Structural topology optimization; Support materials; Topology optimisation, 3D printing
note: cited By 0; Conference of 10th EAI International Conference on Advancements of Science and Technology , EAI ICAST 2022 ; Conference Date: 4 November 2022 Through 6 November 2022; Conference Code:297749
abstract: Structural topology optimization is a mathematical method which seeks optimal material distribution of a given design domain under defined loading and boundary conditions. Although these approaches have been used in solving different optimization problems and generated optimal material distributions, the checkerboard effect in generated optimal topologies and manufacturing of optimal outputs due to their complex feature have been challenged. To address these challenges, different filtering techniques have been proposed including density filter, sensitivity filter, and grayscale filter. Additive manufacturing is one of the emerging technologies that enable manufacturing of almost any design and a means to fabricate topologically optimized designs. However, the effect of proposed filtering techniques on the complexity of generated optimal material distribution, amount of support material needed, and rate of convergence needs to be studied to optimize the additive manufacturing process itself. In this chapter, generated optimal topologies were manufactured using additive manufacturing, and the effect of common filtering techniques proposed to avoid checkerboard effect in structural topology optimization on complexity of generated topologies, convergence rate, and amount of support material was studied. A CubePro 3D printer, which uses plastic jet printing, was used to develop optimized structure form generated optimal topologies. Simulation results show that sensitivity filter is better in generating relatively less complex optimal topologies that can be manufactured with less amount of support material with less amount of time. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
date: 2023
publisher: Springer Science and Business Media Deutschland GmbH
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85169043706&doi=10.1007%2f978-3-031-33610-2_9&partnerID=40&md5=5b57eade6f2a86be82cc2bd44872dfda
id_number: 10.1007/978-3-031-33610-2₉
full_text_status: none
publication: Green Energy and Technology
pagerange: 167-177
refereed: TRUE
isbn: 9783031336096
issn: 18653529
citation:   Gebremedhen, H.S. and Woldemichael, D.E. and Hashim, F.M. and Altaf, K. and Chong, H.C.  (2023) Effect of Filtering Techniques in Manufacturing of Optimal Topologies Using Additive Manufacturing.  Green Energy and Technology.  pp. 167-177.  ISSN 18653529