Investigation of industrial die-cast Al-alloys using X-ray micro-computed tomography and machine learning approach for CT segmentation

IF 1.7 Q4 ENGINEERING, MANUFACTURING

Production Engineering-Research and Development Pub Date : 2022-08-03 DOI:10.1007/s11740-022-01147-6

Katanaga Yusuke, A. Bandara, Natsuto Soga, Koichi Kan, A. Koike, T. Aoki

引用次数: 0

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利用x射线微计算机断层扫描和机器学习方法对工业压铸铝合金进行CT分割研究

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Production Engineering-Research and Development ENGINEERING, MANUFACTURING-

CiteScore

4.10

自引率

5.90%

发文量

期刊介绍： The journal reports peer reviewed results of latest research in industrial engineering, production engineering and industrial organization. The high level and focus on both the scientific as well as the practical impact of the selected papers will bridge the gap between research and successful industrial application. Researchers in production engineering as well as in operation management and supply chain organization will find recent valuable developments. The main topics span from novel production processes via computer aided engineering to process chain and factory management. Frequently published key note papers provide succinct reviews on the recent progress in particular research areas.