探索在工业发展实践中使用基于有限元分析的变异模拟的障碍

IF 1.8 Q3 ENGINEERING, MANUFACTURING
Design Science Pub Date : 2021-10-11 DOI:10.1017/dsj.2021.21
T. Nerenst, M. Ebro, Morten Nielsen, T. Eifler, K. L. Nielsen
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引用次数: 4

摘要

在过去的几十年里,有限元分析(FEA)已经成为工业产品开发的标准工具,允许对设计进行虚拟分析,快速周转时间和迅速实施结果。尽管学术研究也提供了许多基于有限元分析来评估产品对几何、材料和载荷变化的稳健性的方法,然而,这与这些基于有限元分析的变化模拟在工业中的有限使用形成鲜明对比。为了弥合学术研究与工业应用之间存在的差距,本文探讨了限制采用基于有限元的变分仿真的障碍。调查是基于对五位首席工程师的采访,然后是一个案例研究,详细说明了潜在的技术挑战,并为未来的解决方案提供了一些初步建议。案例研究涉及一个无菌罐与七个几何变量。设计目标是确保在预期概率变化范围内具有足够的密封性。联合研究详细说明了广泛应用的主要障碍,即缺乏强大的CAD,为设计目的选择有效实验设计的实用指南,以及自动化过程的复杂性。从技术角度来看,案例研究的结果是对主要和交互效应的估计,准确的元模型和100,000个样本的蒙特卡罗模拟,与传统的标称或最佳/最差情况模拟相比,为设计工程师提供了更详细和可操作的产品性能见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring barriers for the use of FEA-based variation simulation in industrial development practice
Abstract Over the last decades, finite element analysis (FEA) has become a standard tool in industrial product development, allowing for virtual analysis of designs, quick turnaround times and prompt implementation of results. Although academic research also provides numerous approaches for evaluating a product’s robustness towards geometrical, material and load variations based on FEA analyses, this, however, stands in striking contrast to the limited use of these FEA-based variation simulations in industry. In order to bridge the existing gap between academic research and industrial application, this paper explores the barriers that limit the adoption of FEA-based variation simulation. The investigation is based on interviews with five lead engineers, followed by a case study that details the underlying technical challenges and allows for some initial suggestions for future solutions. The case study involves a sterile canister with seven geometrical variables. The design objective is to ensure sufficient sealing within the range of expected probabilistic variation. The combined study details the identified main barriers for a wider application, that is, the lack of robust CAD, practical guidelines to select an efficient design of experiments for design purposes, and the complexity of the automated processes. From a technical perspective, the case study results in estimations for main and interaction effects, an accurate metamodel and Monte Carlo simulations of 100,000 samples providing the design engineer with more detailed and actionable insights on the performance of the product compared with the traditional nominal or best/worst case simulations.
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来源期刊
Design Science
Design Science ENGINEERING, MANUFACTURING-
CiteScore
4.80
自引率
12.50%
发文量
19
审稿时长
22 weeks
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