利用人工智能预测增材制造拉伸强度部件的能耗

IF 2.3 4区工程技术 Q3 ENGINEERING, MANUFACTURING

3D Printing and Additive Manufacturing Pub Date : 2023-12-11 DOI:10.1089/3dp.2023.0189

O. Ulkir, Mehmet Said Bayraklilar, M. Kuncan

引用次数: 0

摘要

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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Energy Consumption Prediction of Additive Manufactured Tensile Strength Parts Using Artificial Intelligence

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来源期刊

3D Printing and Additive Manufacturing Materials Science-Materials Science (miscellaneous)

CiteScore

6.00

自引率

6.50%

发文量

126

期刊介绍： 3D Printing and Additive Manufacturing is a peer-reviewed journal that provides a forum for world-class research in additive manufacturing and related technologies. The Journal explores emerging challenges and opportunities ranging from new developments of processes and materials, to new simulation and design tools, and informative applications and case studies. Novel applications in new areas, such as medicine, education, bio-printing, food printing, art and architecture, are also encouraged. The Journal addresses the important questions surrounding this powerful and growing field, including issues in policy and law, intellectual property, data standards, safety and liability, environmental impact, social, economic, and humanitarian implications, and emerging business models at the industrial and consumer scales.