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A Survey of the Influence of Process Parameters on Mechanical Properties of Fused Deposition Modeling Parts.
Gao, Ge; Xu, Fan; Xu, Jiangmin; Tang, Guanghai; Liu, Zhenyu.
Afiliação
  • Gao G; College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Xu F; College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Xu J; College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Tang G; College of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang 212100, China.
  • Liu Z; Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China.
Micromachines (Basel) ; 13(4)2022 Mar 30.
Article em En | MEDLINE | ID: mdl-35457856
Due to the availability of materials and low cost for production, fused deposition modeling is becoming the most widely used additive manufacturing (AM) technology. However, the reasonable choice of process parameters for FDM is a significant task that directly affects the performance of the printed part. Therefore, it is necessary to investigate the influences of various process parameters on the quality characteristics of the components. The objectives of this study are to thoroughly review the current state of research that characterizes, estimates the effects of process parameters on mechanical properties, and summarizes the conclusions of existing works. In addition, some general issues of the presented research are summarized, and the need for future development is also emphasized. Finally, the research proposes several areas that deserve further study in this field.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Micromachines (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China