Material jetting additive manufacturing: An experimental study using designed metrological benchmarks

Additive manufacturing (AM) technique allows the creation of parts with a high degree of design complexity by building three-dimensional (3D) parts layer-by-layer. Many of the current restrictions of design for manufacturing (DFM) as well as design for assembly (DFA) are no longer applicable for AM...

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Main Authors: Yap, Yee Ling, Wang, Chengcheng, Sing, Swee Leong, Dikshit, Vishwesh, Yeong, Wai Yee, Wei, Jun
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2017
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Online Access:https://hdl.handle.net/10356/86583
http://hdl.handle.net/10220/44113
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-865832023-03-04T17:16:04Z Material jetting additive manufacturing: An experimental study using designed metrological benchmarks Yap, Yee Ling Wang, Chengcheng Sing, Swee Leong Dikshit, Vishwesh Yeong, Wai Yee Wei, Jun School of Mechanical and Aerospace Engineering A*STAR SIMTech Singapore Centre for 3D Printing 3D Printing Additive Manufacturing Additive manufacturing (AM) technique allows the creation of parts with a high degree of design complexity by building three-dimensional (3D) parts layer-by-layer. Many of the current restrictions of design for manufacturing (DFM) as well as design for assembly (DFA) are no longer applicable for AM due to the lack of needs for tooling. Instead, it is critical to establish the manufacturing limits and design guidelines to achieve optimal production outcomes. This can be achieved through manipulation of process parameters. The purpose of this paper is to establish a systematic methodology for investigating the process capability of material jetting AM techniques by using specially designed benchmark artifacts. In this study, three customized benchmarks were designed to characterize and establish the process capability of material jetting AM techniques. Each of the benchmarks was designed for different purposes. Using a benchmark, metrological studies were conducted to determine the effect of process parameters on the dimensional accuracy of fabricated part. The design limitations on special features such as thin walls and assembly-free parts fabricated using different build orientations were also evaluated. ASTAR (Agency for Sci., Tech. and Research, S’pore) Accepted version 2017-12-08T06:11:42Z 2019-12-06T16:25:14Z 2017-12-08T06:11:42Z 2019-12-06T16:25:14Z 2017 Journal Article Yap, Y. L., Wang, C., Sing, S. L., Dikshit, V., Yeong, W. Y., & Wei, J. (2017). Material jetting additive manufacturing: An experimental study using designed metrological benchmarks. Precision Engineering, 50, 275-285. 0141-6359 https://hdl.handle.net/10356/86583 http://hdl.handle.net/10220/44113 10.1016/j.precisioneng.2017.05.015 201279 en Precision Engineering © 2017 Elsevier Inc. This is the author created version of a work that has been peer reviewed and accepted for publication by Precision Engineering, Elsevier Inc. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.precisioneng.2017.05.015]. 39 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic 3D Printing
Additive Manufacturing
spellingShingle 3D Printing
Additive Manufacturing
Yap, Yee Ling
Wang, Chengcheng
Sing, Swee Leong
Dikshit, Vishwesh
Yeong, Wai Yee
Wei, Jun
Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
description Additive manufacturing (AM) technique allows the creation of parts with a high degree of design complexity by building three-dimensional (3D) parts layer-by-layer. Many of the current restrictions of design for manufacturing (DFM) as well as design for assembly (DFA) are no longer applicable for AM due to the lack of needs for tooling. Instead, it is critical to establish the manufacturing limits and design guidelines to achieve optimal production outcomes. This can be achieved through manipulation of process parameters. The purpose of this paper is to establish a systematic methodology for investigating the process capability of material jetting AM techniques by using specially designed benchmark artifacts. In this study, three customized benchmarks were designed to characterize and establish the process capability of material jetting AM techniques. Each of the benchmarks was designed for different purposes. Using a benchmark, metrological studies were conducted to determine the effect of process parameters on the dimensional accuracy of fabricated part. The design limitations on special features such as thin walls and assembly-free parts fabricated using different build orientations were also evaluated.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Yap, Yee Ling
Wang, Chengcheng
Sing, Swee Leong
Dikshit, Vishwesh
Yeong, Wai Yee
Wei, Jun
format Article
author Yap, Yee Ling
Wang, Chengcheng
Sing, Swee Leong
Dikshit, Vishwesh
Yeong, Wai Yee
Wei, Jun
author_sort Yap, Yee Ling
title Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
title_short Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
title_full Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
title_fullStr Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
title_full_unstemmed Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
title_sort material jetting additive manufacturing: an experimental study using designed metrological benchmarks
publishDate 2017
url https://hdl.handle.net/10356/86583
http://hdl.handle.net/10220/44113
_version_ 1759856609420378112