Multi-objective optimization of process parameters in an area-forming rapid prototyping system using the Taguchi method and a grey relational analysis
| Autor: | Chun-Hao Su, Kun-Ting Chen, Yen-Chun Tseng, Sheng-Hong Pong, Shih-Hsuan Chiu, Cheng-Chin Chen, Shun-Ying Gan |
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| Rok vydání: | 2016 |
| Předmět: |
Rapid prototyping
0209 industrial biotechnology Engineering drawing Process (engineering) Computer science Mechanical Engineering 02 engineering and technology Grey relational analysis Multi-objective optimization Industrial and Manufacturing Engineering Manufacturing engineering Taguchi methods 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering |
| Zdroj: | Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 231:2211-2222 |
| ISSN: | 2041-2975 0954-4054 |
| DOI: | 10.1177/0954405415623479 |
| Popis: | The rapid prototyping technique has been developed over several decades. As the application becomes more widespread, the qualities of the parts produced by a rapid prototyping system must be considered. The area-forming rapid prototyping system is an emerging technology. This system has the advantage of a short build time but displays a weakness in the dimensional accuracy and surface roughness. To improve these weaknesses and simultaneously maintain a short build time, this study optimizes the process parameters using the grey relational Taguchi method. From the results, the best combinations of process parameters both for each quality and for multiple qualities are discovered. The optimization of process parameters is verified using the extra samples. |
| Databáze: | OpenAIRE |
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