Challenges in Geometry Assurance for Composites Manufacturing

IF 2.6 3区工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Computing and Information Science in Engineering Pub Date : 2023-03-01 DOI:10.1115/1.4057021

Diogo Toyoda, Kristina Wärmefjord, R. Söderberg

引用次数: 0

Abstract

Composite materials are well known for their high strength-to-weight ratio, but their unique manufacturing process presents some challenges and is a source of geometric variations. To minimize the effects of such variations in the final product is the main goal of geometry assurance. To achieve that, variation simulation tools are used to predict variations and optimize manufacturing parameters, to ensure a robust design. In this paper, the most common variation sources linked to the manufacturing process are discussed. Then, variation simulation tools and features for parts and assemblies are presented. Applicability for composites of existing tools and other studies for metallic parts is compared. Finally, future challenges in variation simulation for composites are discussed.

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复合材料制造几何保证的挑战

复合材料以其高强度重量比而闻名，但其独特的制造工艺带来了一些挑战，并且是几何变化的来源。将这些变化对最终产品的影响降到最低是几何保证的主要目标。为了实现这一目标，变化模拟工具用于预测变化和优化制造参数，以确保稳健的设计。本文讨论了与制造过程相关的最常见的变异源。在此基础上，提出了零部件变型仿真的工具和特征。比较了现有刀具复合材料和其他金属零件研究的适用性。最后，讨论了复合材料变化模拟未来面临的挑战。

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

Journal of Computing and Information Science in Engineering 工程技术-工程：制造

CiteScore

6.30

自引率

12.90%

发文量

100

审稿时长

6 months

期刊介绍： The ASME Journal of Computing and Information Science in Engineering (JCISE) publishes articles related to Algorithms, Computational Methods, Computing Infrastructure, Computer-Interpretable Representations, Human-Computer Interfaces, Information Science, and/or System Architectures that aim to improve some aspect of product and system lifecycle (e.g., design, manufacturing, operation, maintenance, disposal, recycling etc.). Applications considered in JCISE manuscripts should be relevant to the mechanical engineering discipline. Papers can be focused on fundamental research leading to new methods, or adaptation of existing methods for new applications. Scope: Advanced Computing Infrastructure; Artificial Intelligence; Big Data and Analytics; Collaborative Design; Computer Aided Design; Computer Aided Engineering; Computer Aided Manufacturing; Computational Foundations for Additive Manufacturing; Computational Foundations for Engineering Optimization; Computational Geometry; Computational Metrology; Computational Synthesis; Conceptual Design; Cybermanufacturing; Cyber Physical Security for Factories; Cyber Physical System Design and Operation; Data-Driven Engineering Applications; Engineering Informatics; Geometric Reasoning; GPU Computing for Design and Manufacturing; Human Computer Interfaces/Interactions; Industrial Internet of Things; Knowledge Engineering; Information Management; Inverse Methods for Engineering Applications; Machine Learning for Engineering Applications; Manufacturing Planning; Manufacturing Automation; Model-based Systems Engineering; Multiphysics Modeling and Simulation; Multiscale Modeling and Simulation; Multidisciplinary Optimization; Physics-Based Simulations; Process Modeling for Engineering Applications; Qualification, Verification and Validation of Computational Models; Symbolic Computing for Engineering Applications; Tolerance Modeling; Topology and Shape Optimization; Virtual and Augmented Reality Environments; Virtual Prototyping