Optimizing 3D Printing Parameters For Best Mechanical Properties
A large number of manufacturing companies are pursuing to additive manufacturing technology, since this technology is absolutely amazing for customized product. As additive manufacturing becomes widely adopted for modeling, prototyping, rapid tooling and short-run applications, the quality control...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/54340/ http://eprints.usm.my/54340/1/Optimizing%203D%20Printing%20Parameters%20For%20Best%20Mechanical%20Properties_Kee%20Tze%20Shen_M4_2018.pdf |
| _version_ | 1848882777615761408 |
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| author | Kee, Tze Shen |
| author_facet | Kee, Tze Shen |
| author_sort | Kee, Tze Shen |
| building | USM Institutional Repository |
| collection | Online Access |
| description | A large number of manufacturing companies are pursuing to additive manufacturing technology, since this technology is absolutely amazing for customized product. As additive manufacturing becomes widely adopted for modeling, prototyping, rapid tooling and short-run applications, the quality control
become crucial to be developed in manufacturing business.
The intent of this study is to discuss the response quality characteristics control of additive manufacturing technology which subject to critical printing parameters optimization. Fused deposition modelling (FDM) is one of commonly adopted 3D printing system in manufacturing industries. For FDM 3D printing process, layer thickness, infill pattern, extrusion temperature and print speed are the critical printing parameter considered for optimization. Five response to be considered for printing parameters studies, which is ultimate tensile strength, compressive modulus, surface roughness, dimensional accuracy and manufacturing time. Taguchi L9 orthogonal array method is designed for optimization of printing parameters to achieve best quality characteristics of printed parts. Optimum parameters values and effectiveness of printing parameters were analysed using signal to noise ratio (S/N ratio) and analysis of variance (ANOVA). Verification experiment were be conducted to discuss the printing performance of optimum conditions. |
| first_indexed | 2025-11-15T18:40:19Z |
| format | Monograph |
| id | usm-54340 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:40:19Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-543402022-08-26T01:47:05Z http://eprints.usm.my/54340/ Optimizing 3D Printing Parameters For Best Mechanical Properties Kee, Tze Shen T Technology TJ Mechanical engineering and machinery A large number of manufacturing companies are pursuing to additive manufacturing technology, since this technology is absolutely amazing for customized product. As additive manufacturing becomes widely adopted for modeling, prototyping, rapid tooling and short-run applications, the quality control become crucial to be developed in manufacturing business. The intent of this study is to discuss the response quality characteristics control of additive manufacturing technology which subject to critical printing parameters optimization. Fused deposition modelling (FDM) is one of commonly adopted 3D printing system in manufacturing industries. For FDM 3D printing process, layer thickness, infill pattern, extrusion temperature and print speed are the critical printing parameter considered for optimization. Five response to be considered for printing parameters studies, which is ultimate tensile strength, compressive modulus, surface roughness, dimensional accuracy and manufacturing time. Taguchi L9 orthogonal array method is designed for optimization of printing parameters to achieve best quality characteristics of printed parts. Optimum parameters values and effectiveness of printing parameters were analysed using signal to noise ratio (S/N ratio) and analysis of variance (ANOVA). Verification experiment were be conducted to discuss the printing performance of optimum conditions. Universiti Sains Malaysia 2018-05-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/54340/1/Optimizing%203D%20Printing%20Parameters%20For%20Best%20Mechanical%20Properties_Kee%20Tze%20Shen_M4_2018.pdf Kee, Tze Shen (2018) Optimizing 3D Printing Parameters For Best Mechanical Properties. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Mekanikal. (Submitted) |
| spellingShingle | T Technology TJ Mechanical engineering and machinery Kee, Tze Shen Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title | Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title_full | Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title_fullStr | Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title_full_unstemmed | Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title_short | Optimizing 3D Printing Parameters For Best Mechanical Properties |
| title_sort | optimizing 3d printing parameters for best mechanical properties |
| topic | T Technology TJ Mechanical engineering and machinery |
| url | http://eprints.usm.my/54340/ http://eprints.usm.my/54340/1/Optimizing%203D%20Printing%20Parameters%20For%20Best%20Mechanical%20Properties_Kee%20Tze%20Shen_M4_2018.pdf |