TY - GEN
T1 - Quality control for fused deposition modeling based additive manufacturing
T2 - 1st International Conference on Reliability Systems Engineering, ICRSE 2015
AU - Huang, Tingting
AU - Wang, Shanggang
AU - He, Ketai
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/24
Y1 - 2015/12/24
N2 - Additive manufacturing (AM) is a novel way of manufacturing in the recent decade, and it has complexity free and customization advantages over subtractive manufacturing. Fused deposition modeling (FDM) belongs to AM, and it fabricates products using liquefied thermoplastic material. Products are manufactured layer-by-layer based on 3D computer aided designs (CAD). As a new technology, quality of outgoing products is the key aspect that people focus on. Engineering process control (EPC) and statistical process control (SPC) are two ways to guarantee and improve product quality. EPC has already been used in FDM to give feedback control of the process based on detected variations. However, very infrequent work has been done on SPC in FDM to reduce variation in manufacturing process, so that assignable causes can be detected when they occur. This paper summarizes current research in quality control for FDM, including process and quality parameters, measuring instruments, and current EPC and SPC methods. Future trends in this research area are discussed finally.
AB - Additive manufacturing (AM) is a novel way of manufacturing in the recent decade, and it has complexity free and customization advantages over subtractive manufacturing. Fused deposition modeling (FDM) belongs to AM, and it fabricates products using liquefied thermoplastic material. Products are manufactured layer-by-layer based on 3D computer aided designs (CAD). As a new technology, quality of outgoing products is the key aspect that people focus on. Engineering process control (EPC) and statistical process control (SPC) are two ways to guarantee and improve product quality. EPC has already been used in FDM to give feedback control of the process based on detected variations. However, very infrequent work has been done on SPC in FDM to reduce variation in manufacturing process, so that assignable causes can be detected when they occur. This paper summarizes current research in quality control for FDM, including process and quality parameters, measuring instruments, and current EPC and SPC methods. Future trends in this research area are discussed finally.
KW - additive manufacturing
KW - engineering process control
KW - fused deposition modeling
KW - quality control
KW - run-to-run
KW - statistcal process control
UR - https://www.scopus.com/pages/publications/84962739031
U2 - 10.1109/ICRSE.2015.7366500
DO - 10.1109/ICRSE.2015.7366500
M3 - 会议稿件
AN - SCOPUS:84962739031
T3 - Proceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015
BT - Proceedings of 2015 the 1st International Conference on Reliability Systems Engineering, ICRSE 2015
A2 - Zhang, Shunong
A2 - Wang, Zili
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 October 2015 through 23 October 2015
ER -