Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86583
Title: Material jetting additive manufacturing: An experimental study using designed metrological benchmarks
Authors: Yap, Yee Ling
Wang, Chengcheng
Sing, Swee Leong
Dikshit, Vishwesh
Yeong, Wai Yee
Wei, Jun
Keywords: 3D Printing
Additive Manufacturing
Issue Date: 2017
Source: 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.
Series/Report no.: Precision Engineering
Abstract: 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 Many of the current restrictions of design for manufacturing (DFM) as well as design for assembly (DFA) are no longer applicable for AM due to the lack of needs for tooling.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.
URI: https://hdl.handle.net/10356/86583
http://hdl.handle.net/10220/44113
ISSN: 0141-6359
DOI: 10.1016/j.precisioneng.2017.05.015
Schools: School of Mechanical and Aerospace Engineering 
Organisations: A*STAR SIMTech
Research Centres: Singapore Centre for 3D Printing 
Rights: © 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].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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