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机器学习在增材制造的材料和工艺中的进展和机会
Wei Long Ng1, Guo Liang Goh2, Guo Dong Goh3
1Singapore Centre for 3D Printing, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
Advanced materials (Deerfield Beach, Fla.)
|March 8, 2024
概括
机器学习 (ML) 正在通过发现更好的3D打印复杂模式来彻底改变增材制造 (AM). 整合ML可以提高AM流程的设计,生产和质量控制.
科学领域:
- 材料科学 材料科学 材料科学
- 工程 工程师 工程师 工程师
- 计算机科学 计算机科学
背景情况:
- 机器学习 (ML) 的采用在增材制造 (AM) 中越来越多,以了解复杂的参数关系.
- 机器学习模型分析大型数据集,以揭示AM过程决策的洞察力.
- ML和AM之间的协同作用有望改变3D打印零件的设计和生产.
研究的目的:
- 审查ML和AM交叉点的挑战和机遇.
- 分析在AM研究中ML的出版景观.
- 探索常见的ML应用和AM的未来趋势.
主要方法:
- 在增材制造中对ML应用的综合文献综述.
- 分析出版趋势和共同的研究领域.
- 探索ML算法及其对AM流程的影响.
主要成果:
- ML在各种增材制造应用中表现出卓越的性能,包括质量控制,工艺和设计优化,微观结构分析和材料配方.
- 在AM中增加对ML的注意力是由其有效性驱动的.
- 该审查确定了关键的应用领域和新兴趋势.
结论:
- 机器学习集成显著提高了在各种AM研究领域的3D打印能力.
- 未来的展望强调先进的ML模型,新型传感器开发和ML在新兴的AM领域.
- ML有望成为增材制造创新的关键驱动力.
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