Reverse engineering of additive manufactured composite part by toolpath reconstruction using imaging and machine learning
Reverse engineering of additive manufactured composite part by toolpath reconstruction using imaging and machine learning
复制标题
使用成像和机器学习通过刀具路径重建对增材制造复合材料零件进行逆向工程
DOI:
10.1016/j.compscitech.2020.108318
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发表时间:
2020
影响因子:
9.1
通讯作者:
Gupta, Nikhil
中科院分区:
文献类型:
--
作者:
Yanamandra, Kaushik;Chen, Guan Lin;Xu, Xianbo;Mac, Gary;Gupta, Nikhil
Development of composite material parts requires significant research and development effort. The fiber size, volume fraction and direction are important in determining the properties of the part. Additive manufacturing (AM) methods are increasingly used for printing composite materials. Advancements in 3D scanning and imaging technology have raised a significant concern in reverse engineering of parts made by AM, which may result in counterfeiting and unauthorized production of high quality parts. This work is focused on using imaging methods and machine learning to reverse engineer a composite material part, where not only the geometry is captured but also the tool path of 3D printing is reconstructed using machine learning of microstructure. A dimensional accuracy with only 0.33% difference is achieved for the reverse engineered model.
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DOI:
--
发表时间:
2018
期刊:
影响因子:
--
作者:
A. Singh;Brooks Saltonstall;Balu Patil;N. Hoffmann;M. Doddamani;N. Gupta
通讯作者:
N. Gupta
影响因子:
11
作者:
M. Yampolskiy;W. King;J. Gatlin;Sofia Belikovetsky;Adam J. Brown;A. Skjellum;Y. Elovici
通讯作者:
M. Yampolskiy;W. King;J. Gatlin;Sofia Belikovetsky;Adam J. Brown;A. Skjellum;Y. Elovici
DOI:
10.1007/978-3-319-70395-4_2
发表时间:
2017
期刊:
Int. J. Crit. Infrastructure Prot.
影响因子:
--
作者:
M. Yampolskiy;W. King;Gregory Pope;Sofia Belikovetsky;Y. Elovici
通讯作者:
Y. Elovici
影响因子:
3.9
作者:
Lynne Graves;Joshua Lubell;W. King;M. Yampolskiy
通讯作者:
M. Yampolskiy
影响因子:
3.9
作者:
D. Safford;Monty Wiseman
通讯作者:
Monty Wiseman