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作 者:高一鸣 侯伯杰[1] 高建设[1] GAO Yi-ming;HOU Bo-jie;GAO Jian-she(School of Mechanical and Power Engineering,Zhengzhou University,He’nan Zhengzhou 450001,China)
机构地区:[1]郑州大学机械与动力工程学院,河南郑州450001
出 处:《机械设计与制造》2023年第12期81-84,共4页Machinery Design & Manufacture
基 金:国家重点研发计划(高安全长寿命客车动力电池系统关键技术研究与应用2018YFB0104100)。
摘 要:为了提高数控车床在线检测工件的效率,提出了改进式蝙蝠算法优化在线测量路径的方法。通过读取DXF文件的方式获取待测工件的几何信息,并根据工件特征规划初始检测路径,建立检测路径优化的数学模型,采用改进式蝙蝠算法优化测点间的测量顺序,并通过设计程序生成模板,自动生成数控代码,驱动数控车床进行工件测量。针对复杂阶梯轴进行在线检测实验,相比于其他优化结果和人工规划结果缩短检测路径长度,该方法可以有效地提升工件检测的效率。In order to improve the efficiency of online inspection of CNC lathes,an improved bat algorithm is proposed to optimize the online measurement path.The system obtains the geometric information of the workpiece to be measured by reading the DXF file,plans the initial inspection path according to the characteristics of the workpiece,establishes a mathematical model for the optimization of the inspection path,uses an improved bat algorithm to optimize the measurement sequence between the measurement points,and design the program generates templates,automatically generates CNC codes,and drives the CNC lathe to perform workpiece measurement.The online inspection experiment is carried out for complex stepped shafts.Compared with other optimization results and manual planning results,this method shortens the detection path length,and effectively improves the efficiency of workpiece detection.
分 类 号:TH16[机械工程—机械制造及自动化] TP273[自动化与计算机技术—检测技术与自动化装置]
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