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作 者:刘冉冉 宁玲玲 郑健 LIU Ranran;NING Lingling;ZHENG Jian(School of Intelligent Manufacturing,Shandong Engineering Vocational and Technical University,Jinan Shandong 250200,China)
机构地区:[1]山东工程职业技术大学智能制造学院,山东济南250200
出 处:《机床与液压》2022年第23期141-147,共7页Machine Tool & Hydraulics
摘 要:大数量级小孔零件加工由于孔数量多、孔径小和无法根据加工中的震动和噪声判断加工情况进而调整切削参数等,造成加工效率低、排屑困难、易断钻头等问题。对大数量级的小孔零件进行分组实验,在基础理论切削参数基础上进行等间距数值分级的多组加工参数对照实验,在多组实验结果上得出更具体的可选用区间;在得到的区间上进一步进行连续加工实验观察刀具磨损,并且借助显微镜辅助分析磨损情况,得到可行且能连续加工的稳定切削参数。最后运用数据分析软件SPSS进行切削参数和加工结果之间的多因素分析来构建数学模型,求出转速S、进给速度F、退刀量R′各切削参数的可行区间及最优参数,按照该参数进行实际的数控加工实验,验证了该方法的可行性和稳定性。Due to the large number of holes, small hole diameter and inability to judge the machining conditions and to adjust the cutting parameters according to the vibration and noise during machining, the machining of large-scale small-hole parts is low machining efficiency, chip removal is difficulty, and drill bits is easily broken, etc.Grouping experiments were carried out on large-scale small-hole parts, and on the basis of basic theoretical cutting parameters, multiple sets of machining parameters control experiments with equal spacing numerical grading were carried out.In the obtained interval, further continuous machining experiments were carried out to observe the tool wear, the wear situation was analyzed with the aid of instruments such as microscopes, and specific cutting parameters that were feasible and capable to continuously machine were obtained.Finally, the data analysis software SPSS was used to conduct multi-factor analysis between cutting parameters and machining results to construct a mathematical model, and the feasible intervals and optimal parameters of speed S,feed speed F,and tool retraction R′ were obtained.According to the feasible intervals and optimal parameters, the actual numerical control machining experiment was carried out to verify the feasibility and stability of the mathod.
分 类 号:TS173.4[轻工技术与工程—纺织材料与纺织品设计]
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