A comprehensive review of fiber-reinforced topology optimization for advanced polymer composites produced by automated manufacturing

IF 9.9 Q1 MATERIALS SCIENCE, COMPOSITES
Bence Szederkenyi , Norbert Krisztian Kovacs , Tibor Czigany
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引用次数: 0

Abstract

This review paper focuses on Fiber-Reinforced Topology Optimization (FRTO) methods for automated manufacturing techniques, addressing topology and morphology optimization. Accordingly, the review introduces the main TO techniques and the common reinforcement path design strategies using concurrent and sequential optimization approaches. Furthermore, this paper examines the potential transformation of the conventional role of TO algorithms in structural optimization by integrating Artificial Intelligence (AI) into the optimization process [1]. We collected and categorized the most relevant papers from the past decade in the field of FRTO; comparisons were made based on appropriate metrics, including algorithm types, effectiveness, and validation environment. We emphasize practical considerations such as manufacturing constraints and algorithmic efficiency, addressing real-world usability aspects [2]. The analysis underscores the necessity for universally applicable benchmark methods and standardization to facilitate direct comparisons among various methodologies [3]. The main conclusions of the paper highlight the emerging trends in research, the potential of fiber-reinforced polymer composites designed by FRTO, the challenges facing the field, and the efficiency improvements and synergy with AI, indicating an evolving role for TO in structural optimization.
自动化制造先进聚合物复合材料纤维增强拓扑优化研究综述
本文综述了用于自动化制造技术的纤维增强拓扑优化(FRTO)方法,解决了拓扑和形态优化问题。因此,本文介绍了主要的强化路径设计技术和常用的并行和顺序优化路径设计策略。此外,本文通过将人工智能(AI)集成到优化过程[1]中,研究了TO算法在结构优化中的传统作用的潜在转变。我们收集并分类了过去十年在FRTO领域最相关的论文;基于适当的度量进行比较,包括算法类型、有效性和验证环境。我们强调实际的考虑,如制造限制和算法效率,解决现实世界的可用性方面[2]。分析强调了普遍适用的基准方法和标准化的必要性,以促进各种方法之间的直接比较。本文的主要结论强调了研究的新兴趋势、FRTO设计的纤维增强聚合物复合材料的潜力、该领域面临的挑战、效率的提高以及与人工智能的协同作用,表明了TO在结构优化中的作用不断发展。
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
Advanced Industrial and Engineering Polymer Research
Advanced Industrial and Engineering Polymer Research Materials Science-Polymers and Plastics
CiteScore
26.30
自引率
0.00%
发文量
38
审稿时长
29 days
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