From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing

标题
From in-situ monitoring toward high-throughput process control: cost-driven decision-making framework for laser-based additive manufacturing
作者
关键词
Additive manufacturing (AM), Thermal history, Porosity prediction, Artificial neural networks (ANN), Self-organizing error-drive neural networks (SOEDNN)
出版物
JOURNAL OF MANUFACTURING SYSTEMS
Volume 51, Issue -, Pages 29-41
出版商
Elsevier BV
发表日期
2019-03-07
DOI
10.1016/j.jmsy.2019.02.005

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started