Vibration modelling analysis of defective parallel robots as machine tools for aerospace parts machining

Shuai Fan, Liping Zhang, Bo Hu, Guanyu Shen, Guangkui Song, Jing Qiu
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Abstract

The strict machining accuracy and surface finish requirements of manufactured products for aerospace parts make it particularly crucial to analyse the vibration performance of parallel robots as machining tools, which directly affects both of these factors. In this paper, a vibration modelling analysis for parallel robots with fewer-DOFs called defective parallel robots is presented, and the effects of four vibration models are also studied. The traditional spring-damping or elastic vibration models of two systems are presented, and the corresponding uncertain vibration systems are developed by considering the effects of gravity and the uncertain joint clearances. Taking a drilling defective parallel robot as an application example, four vibration models are derived, and the differences in natural frequency and vibration response are explored in numerical and experiment comparisons. The results shows that an uncertain system with six DOFs is closer to the experimental result (approximately 75.49%) than an elastic system (approximately 62.39%), which means that the accuracy has increased by 13.1%. The results of this paper reveal some of the reasons for the performance errors of the different vibration models for defective parallel robots, and the findings of this paper can provide a reference for the simplification and optimization of theoretical vibration models that ignore secondary factors.
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航空航天零件加工中缺陷并联机器人的振动建模分析
航空航天零件制成品对加工精度和表面光洁度的严格要求使得分析并联机器人作为加工工具的振动性能变得尤为重要,它直接影响到这两个因素。本文对具有较少自由度的缺陷并联机器人进行了振动建模分析,并研究了四种振动模型的影响。提出了两种系统的传统弹簧-阻尼或弹性振动模型,并考虑了重力和不确定关节间隙的影响,建立了相应的不确定振动系统。以钻孔缺陷并联机器人为应用实例,推导了四种振动模型,并通过数值和实验对比探讨了固有频率和振动响应的差异。结果表明,六自由度不确定系统比弹性系统更接近实验结果(约为75.49%),精度提高了13.1%。本文的研究结果揭示了缺陷并联机器人不同振动模型产生性能误差的部分原因,为忽略次要因素的理论振动模型的简化和优化提供了参考。
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来源期刊
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.
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