Optimal assembly sequence planning with tool uncertainties

IF 1.9 3区工程技术 Q3 ENGINEERING, MANUFACTURING

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture Pub Date : 2023-07-29 DOI:10.1177/09544054231189012

Chiranjibi Champatiray, M. V. A. Raju Bahubalendruni, Rabindra Mahapatra, Debasisha Mishra

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引用次数: 0

Abstract

Developing a practical and feasible assembly sequence plan for industrial applications is still challenging during product design and planning. Because of the need for more consideration of practical uncertainties, most of the assembly sequence plans generated by planners are inapplicable to real industrial-based problems. We have considered a crucial practical uncertainty attribute, tool uncertainties, in the current research. A novel approach has been proposed to generate optimal robotic assembly sequence plans by combining tool accessibility and part geometry. This research introduces two essential assembly tool accessibility attributes: tool-integrated geometric feasibility and tool-swept volume. In addition, the automatic extraction of tool accessibility attributes has been proposed. The proposed method is explained with a proper model and essential details such as liaison data, tool-integrated bounding box coordinates, tool-integrated geometric feasibility, and tool-swept volume data. Finally, the practical feasibility of the proposed method is verified for a different product configuration.

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考虑刀具不确定性的最优装配序列规划

在产品设计和规划过程中，制定一个实际可行的工业应用装配顺序计划仍然是一个挑战。由于需要更多地考虑实际的不确定性，规划人员生成的大多数装配顺序规划并不适用于实际的工业问题。在目前的研究中，我们考虑了一个重要的实际不确定性属性——工具不确定性。提出了一种结合刀具可及性和零件几何形状生成最优机器人装配序列计划的新方法。介绍了两种基本的装配工具可及性属性:工具集成几何可行性和工具扫描体积。此外，还提出了工具可及性属性的自动提取方法。采用合适的模型和联络数据、工具集成边界盒坐标、工具集成几何可行性和工具扫描体积数据等关键细节对该方法进行了解释。最后，针对不同的产品配置验证了所提方法的实际可行性。

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

Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 工程技术-工程：机械

CiteScore

5.10

自引率

30.80%

发文量

167

审稿时长

5.1 months

期刊介绍： Manufacturing industries throughout the world are changing very rapidly. New concepts and methods are being developed and exploited to enable efficient and effective manufacturing. Existing manufacturing processes are being improved to meet the requirements of lean and agile manufacturing. The aim of the Journal of Engineering Manufacture is to provide a focus for these developments in engineering manufacture by publishing original papers and review papers covering technological and scientific research, developments and management implementation in manufacturing. This journal is also peer reviewed. Contributions are welcomed in the broad areas of manufacturing processes, manufacturing technology and factory automation, digital manufacturing, design and manufacturing systems including management relevant to engineering manufacture. Of particular interest at the present time would be papers concerned with digital manufacturing, metrology enabled manufacturing, smart factory, additive manufacturing and composites as well as specialist manufacturing fields like nanotechnology, sustainable & clean manufacturing and bio-manufacturing. Articles may be Research Papers, Reviews, Technical Notes, or Short Communications.