轴对称产品自动装配顺序规划

Brigida Bonino, F. Giannini, M. Monti, Roberto Raffaeli
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引用次数: 1

摘要

简介:在工业制造中,机械组件的生产在其各个阶段都要求很高。由于产品的复杂性日益增加,设计、管理和生命周期结束阶段变得非常繁重和耗时[8]。因此,在过去的几十年里,已经研究了促进生产和自动化不同制造操作的技术,以减少生产时间和成本,避免人为错误,提高产品质量以及工业协作。在这方面,装配顺序规划(ASP)被认为是工业制造领域最具挑战性的课题之一,仍然值得探索和进一步发展。ASP的目标是通过算法确定组件组装的顺序,以获得最终产品。它从CAD装配模型出发,通过分析和提取零件的几何特征和几何关系,返回可接受序列。零件之间的安装方式可能存在多种解决方案,但选择一种顺序而不是另一种顺序对装配的可行性、复杂性和精度有很大影响。此外,众所周知,ASP是一个非常困难的组合问题,而装配零件数量变得非常重要[13]。为了降低复杂性,通常在序列规划之前进行子装配识别(SI),以便对每个子装配应用序列生成方法,同时减少需要考虑的零件数量。然而,观察到的主要缺点是,所有提取的数据基本上都依赖于几何信息,而没有考虑装配/子装配及其部件的工程意义。例如,了解所有零件是否以特定的方式排列,例如沿着共同的轴或通过具有精确方向的螺钉连接,将有助于选择装配方向。否则,即使在优先级的几何分析不明确的情况下,对可变形部件(例如圆环,o形圈等)或紧固件的认识也可以对其装配顺序做出结论。这里提出的工作是在这种情况下,特别是,它处理轴对称集群,即连接组的部分对称的轴,所有聚集在同一方向。这些零件组值得单独分析,因为它们是力学中经常出现的元素,大多数时候可以独立于包含它们的较大组件(例如曲轴,滑轮和滚轮)进行处理。轴对称组件的独特特点是安装技术(即通过滑动或将空心部件插入轴内的螺纹),包括紧固件(即。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Assembly Sequence Planning for Axisymmetric Products
Introduction: In industrial manufacturing the production of mechanical assemblies is demanding in all its stages. Due to the increasing complexity of products, design, management, and end of life phases are becoming very onerous and time consuming tasks [8]. As a consequence, in the last decades, technologies have been studied to facilitate production and automate di erent manufacturing operations to reduce time and costs of production, avoid human errors and increase product quality as well as industrial collaboration. In this regard, Assembly Sequence Planning (ASP) is considered one of most challenging topic in the industrial manufacturing eld, and still deserves to be explored and further developed. ASP aims at algorithmically identifying the order in which components have to be assembled to obtain the nal product. It starts from a CAD assembly model and, by analyzing and extracting part geometric features and relations, returns admissible sequences. Multiple solutions can exist on how mounting components with each other, but the selection of one sequence rather than another has great e ect on assembly feasibility, complexity, and accuracy. Moreover, ASP is known to be a very hard combinatory problem while the assembly parts numbers become important [13]. To reduce the complexity, Subassembly Identi cation (SI) often precedes the sequence planning, in order to apply sequence generation approaches to each subassembly reducing the amount of parts to consider at the same time. However the main weakness observed is that all the data extracted basically relay on geometric information, while the engineering meanings of the assembly/subassembly and its components are not considered. For example, knowing if all the parts are arranged in a speci c manner, e.g along a common axis or connected by screws with a precise orientation, would be bene cial in the selection of the assembly direction. Or else, the awareness of deformable components (e.g. circlips, O-ring, etc.) or fasteners allows to make conclusions on their assembly order even when the geometric analysis of precedences is ambiguous. The work here presented is placed in this context and, speci cally, it deals with axisymmetric clusters, i.e. connected groups of parts symmetrical to an axis, all aggregated along the same direction. These groups of parts deserve to be singularly analyzed because they are elements occurring frequently in mechanics, that most of the time can be treated independently of the larger assembly containing them (e.g. crankshafts, pulleys and rollers). Distinctive features of axisymmetric subassemblies are the mounting techniques (i.e. threading by sliding or tting hollow parts into the axis), the fasteners included (i.e.
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