Modeling Variation in Multi-station Compliant Assembly using Parametric Space Envelope

IF 2.4 3区 工程技术 Q3 ENGINEERING, MANUFACTURING
C. Luo, Jiaqi Nie, P. Franciosa, D. Ceglarek
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引用次数: 0

Abstract

Non-rigid compliant parts are widely used in industries today. One of the biggest challenges facing the industries is geometric variation management of these compliant parts, which directly impacts product quality and functionality. Existing rigid body based variation modeling is not suitable for compliant assembly while finite element analysis based methods have the disadvantage of requiring heavy computation efforts. In view of that, this paper develops a novel methodology to evaluate geometric variation propagation in multi-station compliant assembly based upon parametric space envelope (i.e. variation tool constructed from parametric curves). Three sources of variation: location-led positional variation, assembly deformation-induced variation and station transition caused variation are analyzed. Under proposal, geometric variations are modeled indirectly through a compact set of boundary control points. Compared with existing methods where geometric variation is modeled through targeting key feature points on the manufacturing part, the proposed approach brings modeling accuracy and computation efficiency. The effectiveness of the method is illustrated and verified through an industrial case study on a multi-station compliant panel assembly. The developed method provides industries a new way to manage geometric variation from compliant assembly.
基于参数化空间包络的多工位柔性装配变化建模
非刚性柔顺零件在当今工业中被广泛使用。行业面临的最大挑战之一是对这些合规零件进行几何变化管理,这直接影响产品质量和功能。现有的基于刚体的变分建模不适合柔顺装配,而基于有限元分析的方法具有计算量大的缺点。有鉴于此,本文提出了一种基于参数空间包络(即由参数曲线构建的变异工具)的多工位柔顺装配几何变异传播评估方法。分析了三种变化来源:位置引起的位置变化、装配变形引起的变化和工位转换引起的变化。根据提议,几何变化是通过一组紧凑的边界控制点间接建模的。与现有的通过瞄准制造零件上的关键特征点来建模几何变化的方法相比,该方法提高了建模精度和计算效率。通过一个多工位柔性面板组件的工业案例研究,说明并验证了该方法的有效性。所开发的方法为行业提供了一种新的方法来管理来自柔顺装配的几何变化。
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
CiteScore
6.80
自引率
20.00%
发文量
126
审稿时长
12 months
期刊介绍: Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining
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