TY - GEN
T1 - Study of 3D printing model aggregation and retrieval mechanism in cloud manufacturing
AU - Luo, Xiao
AU - Pan, Fan
AU - Zhang, Lin
AU - Ren, Lei
AU - Shi, Guoqiang
AU - Guo, Liqin
AU - Lin, Tingyu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - With the rapid development of 3D printing technology and the continuous breakthrough of new material technologies, 3D printing has received more and more attention in the fields of industry, medical, sports, and education. In the cloud manufacturing environment, how to efficiently manage 3D printing models is a critical issue that needs to be solved urgently. The paper begins with a study of 3D printing model aggregation and retrieval mechanism based on this problem. Firstly, we devised a set of 3D printing model management framework with high scalability. Under this framework, a meta-model library and feature library are established to realize the aggregation of 3D printing models. Then, we developed a sketch-based 3D model retrieval method, which can help platform users to create and retrieve personalized 3D printing models easily. This study provides new ideas and a reference pattern for the model design and retrieval methods of existing commercial 3D printing platforms.
AB - With the rapid development of 3D printing technology and the continuous breakthrough of new material technologies, 3D printing has received more and more attention in the fields of industry, medical, sports, and education. In the cloud manufacturing environment, how to efficiently manage 3D printing models is a critical issue that needs to be solved urgently. The paper begins with a study of 3D printing model aggregation and retrieval mechanism based on this problem. Firstly, we devised a set of 3D printing model management framework with high scalability. Under this framework, a meta-model library and feature library are established to realize the aggregation of 3D printing models. Then, we developed a sketch-based 3D model retrieval method, which can help platform users to create and retrieve personalized 3D printing models easily. This study provides new ideas and a reference pattern for the model design and retrieval methods of existing commercial 3D printing platforms.
KW - 3D printing models
KW - Cloud manufacturing
KW - Model aggregation
KW - Model retrieval
UR - https://www.scopus.com/pages/publications/85079071203
U2 - 10.1109/INDIN41052.2019.8972274
DO - 10.1109/INDIN41052.2019.8972274
M3 - 会议稿件
AN - SCOPUS:85079071203
T3 - IEEE International Conference on Industrial Informatics (INDIN)
SP - 1781
EP - 1786
BT - Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Industrial Informatics, INDIN 2019
Y2 - 22 July 2019 through 25 July 2019
ER -