全面回顾:激光粉末床熔融工艺几何和机械特性建模的进展

Seyedeh Fatemeh Nabavi, Anooshiravan Farshidianfar, Hamid Dalir
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引用次数: 0

摘要

本研究全面探讨了激光粉末床熔融(LPBF)特性建模的最新发展,通过对几何和机械特性的独特强调脱颖而出,从而为现有文献提供了新意。虽然该领域的现有综述可能已涉及 LPBF 建模的某些方面,但我们的研究则更进一步,提供了涵盖广泛几何和机械特性的整体概述,从而为理解 LPBF 工艺的复杂性提供了方法。我们将 LPBF 建模分为不同类型,并细致分析了从宏观到纳米级等不同长度尺度的案例研究,为 LPBF 建模的复杂性提供了一个全面的视角,从而为该领域带来了新意。此外,我们的研究超越了对 LPBF 特性的表面研究,深入探讨了几何和机械属性建模所采用的方法,从而对 LPBF 建模的相关方法和挑战提出了新的见解。我们综述的一个重要方面是找出当前知识体系中的差距,并以此为基础提出 LPBF 建模的未来趋势和方向,从而为文献带来新意。通过强调这些差距并为未来研究指明方向,我们的研究为如何推进 LPBF 建模领域提供了一个新的视角,从而为增材制造工艺的不断完善和创新做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comprehensive review: Advancements in modeling geometrical and mechanical characteristics of laser powder bed fusion process
In its comprehensive exploration of recent developments in laser powder bed fusion (LPBF) characteristics modeling, this study stands out by offering a unique emphasis on both geometrical and mechanical attributes, thus contributing novelty to the existing literature. While certain aspects of LPBF modeling may have been touched upon by existing reviews in the field, our study goes beyond by providing a holistic overview that encompasses a broad spectrum of geometrical and mechanical characteristics, thus introducing approach to understanding the complexities of the LPBF process. By categorizing LPBF modeling into distinct types and meticulously analyzing case studies across various length scales, from macroscopic to nanoscopic levels, we introduce novelty in the field by offering a comprehensive perspective on the intricacies of LPBF modeling. Furthermore, our study surpasses a surface-level examination of LPBF characteristics by delving deeply into the methodologies employed for modeling both geometrical and mechanical attributes, thereby introducing novel insights into the methodologies and challenges associated with LPBF modeling. A significant aspect of our review is the identification of gaps in the current body of knowledge, which serves as a foundation for proposing future trends and directions in LPBF modeling, thus introducing novelty to the literature. By highlighting these gaps and charting a course for future research, our study offers a novel perspective on how to advance the field of LPBF modeling, thereby contributing to ongoing refinement and innovation in additive manufacturing processes.
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