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  • 标题:Self-Configuration Machining capability of a 4-DOF parallel kinematic machine tool with nonsingular workspace for Intelligent Manufacturing Systems
  • 本地全文:下载
  • 作者:Mehran Mahboubkhah ; Sina Akhbari ; Ahmad Barari
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:10
  • 页码:288-293
  • DOI:10.1016/j.ifacol.2019.10.044
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMachining accuracy is affected by varying kinematic properties and singularities of parallel mechanisms inside their workspace. In this research an asymmetrical four degree of freedom parallel kinematic machine tool with rotational capability around one of its horizontal axis, developed for milling processes is investigated for its machining capability. Surface roughness of Al5083 alloy is analysed after machining on various domains of available workspace. Linear interpolation was used in creating tool paths to avoid kinematic non linearity of parallel mechanisms and experiments are conducted using Response Surface Methodology (RSM) and gathered data is modelled by linear regression. Surface roughness results demonstrated the high machining performance of the mechanism inside available workspace.
  • 关键词:KeywordsParallel robotparallel KinematicsPrecision MachiningSurface RoughnessGeometric AccuracyCutting tool ApproachOrthogonal CutResponse Surface MethodologyMachining Self-Configuration
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