QSn7-0.2锡青铜连杆衬套车削加工参数优化
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摘要
以强力旋压加工后的锡青铜连杆衬套为研究对象,采取田口试验优化算法研究了切削速度、进给量和背吃刀量对连杆衬套表面粗糙度的影响。通过设计正交试验表对精车后衬套表面粗糙度进行测量并且对比精车后轮廓算术平均偏差Ra和微观不平度10点高度偏差Rz的信噪比极差值,然后分析这3个加工参数对于刀具寿命的影响,最后得到了3种参数对于表面粗糙度的影响程度为:进给量>切削速度>背吃刀量,以及传统经验取值范围内的最优参数组合:车削速度为190mm/min;进给量为0.04mm/r;背吃刀量为0.2mm。
In order to obtain the connecting rod bushing with the desirable surface quality,the lubrication performance and wear resistance of the bushing were improved.Based on taking power spinning processing of tin bronze bushing connecting rod as the research object,the Taguchi experiment optimization algorithm was adopted to optimize the three kinds of main processing parameters of connecting rod bushing in the turning process,cutting speed,feed rate and back cutting depth on the influence of bushing surface roughness.By design of orthogonal testing to measuring surface roughness of finish turning sleeve and comparing SNR range values of Raand Rz,effects of the three kinds of processing parameters on the tool service life were analyzed.The results reveal that the important sequence of three kinds of parameters on surface roughness is presented as:feed rate>cutting speed>back cutting depth,and traditional experience within the range of the optimal parameter combination is cutting speed of 190 mm/min,feed rate of 0.04 mm/r and back cutting depth of 0.2 mm.
In order to obtain the connecting rod bushing with the desirable surface quality,the lubrication performance and wear resistance of the bushing were improved.Based on taking power spinning processing of tin bronze bushing connecting rod as the research object,the Taguchi experiment optimization algorithm was adopted to optimize the three kinds of main processing parameters of connecting rod bushing in the turning process,cutting speed,feed rate and back cutting depth on the influence of bushing surface roughness.By design of orthogonal testing to measuring surface roughness of finish turning sleeve and comparing SNR range values of Raand Rz,effects of the three kinds of processing parameters on the tool service life were analyzed.The results reveal that the important sequence of three kinds of parameters on surface roughness is presented as:feed rate>cutting speed>back cutting depth,and traditional experience within the range of the optimal parameter combination is cutting speed of 190 mm/min,feed rate of 0.04 mm/r and back cutting depth of 0.2 mm.
引文
[1]WANG W Z,CHEN H,HU Y Z,et al.Effect of surface roughness parameters on mixed lubrication characteristics[J].Tribology International,2006,39(6):522-527.
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[3]佘文韬,樊文欣,史永鹏,等.基于响应曲面法的连杆衬套表面粗糙度预测模型和优化[J].塑性工程学报,2017,24(6):172-176.
[4]鹿毅.车削加工中提高金属表面粗糙度的研究[J].机电一体化,2013(11):60-62.
[5]刘波,孔金星.切削参数对纯铁车削表面粗糙度的影响[J].机床与液压,2018,46(8):1-4.
[6]张坤领.车削零件表面粗糙度成因分析及降低措施[J].煤矿机械,2013(5):166-168.
[7]桑满仙,樊文欣,张涛,等.精车参数对连杆衬套表面粗糙度影响[J].铸造技术,2017(9):2 148-2 151.
[8]文放怀.田口方法[M].广州:广东经济出版社,2006.
[9]陈实.筒形件强力旋压成形关键参数对成形质量影响分析及其优化[D].浙江杭州:浙江大学,2015.
[10]韩兴国,祖晓琳.切削加工表面粗糙度的预测模型与参数优化[J].制造业自动化,2014,36(10):39-42.
[11]BANSAL P,UPADHYAY L.Effect of turning parameters on tool wear,surface roughness and metal removal rate of alumina reinforced aluminum composite[J].Procedia Technology,2016,23:304-310.
[2]陈东宝,樊文欣,佘勇,等.强力旋压工艺参数对表面粗糙度的影响[J].热加工工艺,2016,45(17):129-131.
[3]佘文韬,樊文欣,史永鹏,等.基于响应曲面法的连杆衬套表面粗糙度预测模型和优化[J].塑性工程学报,2017,24(6):172-176.
[4]鹿毅.车削加工中提高金属表面粗糙度的研究[J].机电一体化,2013(11):60-62.
[5]刘波,孔金星.切削参数对纯铁车削表面粗糙度的影响[J].机床与液压,2018,46(8):1-4.
[6]张坤领.车削零件表面粗糙度成因分析及降低措施[J].煤矿机械,2013(5):166-168.
[7]桑满仙,樊文欣,张涛,等.精车参数对连杆衬套表面粗糙度影响[J].铸造技术,2017(9):2 148-2 151.
[8]文放怀.田口方法[M].广州:广东经济出版社,2006.
[9]陈实.筒形件强力旋压成形关键参数对成形质量影响分析及其优化[D].浙江杭州:浙江大学,2015.
[10]韩兴国,祖晓琳.切削加工表面粗糙度的预测模型与参数优化[J].制造业自动化,2014,36(10):39-42.
[11]BANSAL P,UPADHYAY L.Effect of turning parameters on tool wear,surface roughness and metal removal rate of alumina reinforced aluminum composite[J].Procedia Technology,2016,23:304-310.