Multitemperature parameter optimization for fused deposition modeling based on response surface methodology
文献类型：期刊论文
| 作者 | Wang, Zhi1,2; Li, Jing1; Wu, Wenjie1 ; Zhang, Daijun1,2; Yu, Ning1
|
| 刊名 | AIP ADVANCES
 |
| 出版日期 | 2021-05-01 |
| 卷号 | 11期号:5页码:8 |
| DOI | 10.1063/5.0049357 |
| 通讯作者 | Yu, Ning(ningyu@cigit.ac.cn) |
| 英文摘要 | Fused deposition modeling (FDM) is an additive manufacturing technology that is extensively applied in engineering and medicine and offers a wide range of raw materials, low manufacturing cost, and personalized features. The mechanical properties of parts fabricated by FDM are greatly influenced by the multitemperature process parameter system. However, systematic research on the relationship between the multitemperature parameter system and mechanical properties of FDM parts is lacking. In this study, we used the response surface methodology (RSM) to optimize a multi-temperature parameter system of FDM to address the limitations of the commonly used conventional experimental method. The effect of temperature conditions (nozzle temperature, platform temperature, and environment temperature) on the tensile strength of the carbon fibers/polylactic acid composite specimens was systematically studied using the constructed RSM model. The RSM model was used to analyze and optimize the parameters of the multitemperature system for the optimal tensile strength, and the FDM experiment was carried out. The tensile strengths obtained using the FDM and response surface optimization were 32.4 and 31.35 MPa, respectively, with a gap of 3.2%. These results show that the RSM optimization method has a remarkable effect and can be used to optimize the multitemperature parameter system of the FDM. |
| 资助项目 | Youth Innovation Promotion Association of the Chinese Academy of Sciences (CAS) ; Venture and Innovation Support Program for Chongqing Overseas Returnees ; National Natural Science Foundation of China[51673198] |
| WOS研究方向 | Science & Technology - Other Topics ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000675209500009 |
| 出版者 | AMER INST PHYSICS |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/13750]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Yu, Ning |
| 作者单位 | 1.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 400714, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Zhi,Li, Jing,Wu, Wenjie,et al. Multitemperature parameter optimization for fused deposition modeling based on response surface methodology[J]. AIP ADVANCES,2021,11(5):8. |
| APA | Wang, Zhi,Li, Jing,Wu, Wenjie,Zhang, Daijun,&Yu, Ning.(2021).Multitemperature parameter optimization for fused deposition modeling based on response surface methodology.AIP ADVANCES,11(5),8. |
| MLA | Wang, Zhi,et al."Multitemperature parameter optimization for fused deposition modeling based on response surface methodology".AIP ADVANCES 11.5(2021):8. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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