|
摘要：
|
|
为提高花键冷滚打成形表面性能，研究冷滚打加工参数对表层性能的影响程度，筛选影响冷滚打花键表层性能最优的冷滚打工艺参数，以渐开线花键为研究对象，以冷滚打转速和进给速度为主要工艺参数，将熵权理论与灰色理论相互结合，对花键齿面分度圆处的表面粗糙度、残余应力和硬化程度进行关联分析研究。结果表明：花键表面粗糙度和硬化程度随进给速度的增加而增大，随冷滚打转速的增加而减小；花键残余应力随进给速度的增加而减小，随冷滚打转速的增加而增大；进给速度对冷滚打花键表层性能影响较大；冷滚打花键表层性能最优的冷滚打工艺参数为冷滚打转速1428 r·min-1和进给速度42 mm·min-1。
|
|
In order to improve the surface performance of spline formed by cold roll-beating, the influence of cold roll-beating processing parameters on the surface performance was studied, and the optimized processing parameters of cold roll-beating process affecting spline surface performance were selected. For the involute spline, the cold roll-beating rotary and feed speed were regarded as the main process parameters, and the relationship between surface roughness, residual stress and hardening degree at the pitch circle of the involute spline tooth surface was analyzed by combining entropy weight theory with gray theory. The results show that the surface roughness and hardening degree of spline increase with the increase of feed speed, but decrease with the increase of cold roll-beating speed. The residual stress of spline decreases with the increase of feed speed, and increases with the increase of cold roll-beating speed. Thus, the feed speed has a great influence on the surface performance of cold roll-beating spline, and the optimized cold roll-beating process parameters of splines surface performance are cold roll-beating speed of 1428 r·min-1 and feed speed of 42 mm·min-1.
|
|
基金项目：
|
|
国家自然科学基金资助项目（51475146，51475366）
|
|
作者简介：
|
|
崔凤奎（1957-），男，博士，教授，博士生导师
E-mail：cuifk2008@163.com
|
|
参考文献：
|
1］Llano-Vizcaya L D, Rubio-Gonzalez C, Mesmacque G, et al. Stress relief effect on fatigue and relaxation of compression springs
［J］. Materials & Design, 2007, 28(4):1130-1134.
［2］Furumoto T, Ueda T, Abdul Aziz M S, et al. Study on reduction of residual stress induced during rapid tooling process: Influence of Heating Conditions on Residual Stress
［J］. Key Engineering Materials, 2010, 447-448:785-789.〖ZK)〗
［3］ Lammi C J, Lados D A. Effects of residual stresses on fatigue crack growth behavior of structural materials: Analytical corrections
［J］. International Journal of Fatigue, 2011, 33(7):858-867.
［4］ Cui F K, Dong X D, Wang X Q, et al. Experimental analysis of dynamic mechanical properties of 20 quenched and tempered steel for cold roll-beating
［J］. Materials Research Innovations, 2015, 19(S1): 56-61.
［5］ Mizutani H, Wakabayashi M. Influence of cutting edge shape on residual stresses of cut surface
［J］. Journal of Advanced Mechanical Design Systems ＆ Manufacturing, 2010, 4(6): 1201-1209.
［6］ Grob E, Krapfenbauer H. Roller head for cold rolling of splined shafts or gears
［P］.United States: US3818735, 1973-04-23.
［7］ Cui F K, Ling Y F, Xue J X, et al. Work hardening behavior of 1020 steel during cold-beating simulation
［J］. Chinese Journal of Mechanical Engineering, 2017, 30(2): 321-331.
［8］ 崔凤奎，李言，周彦伟，等. 渐开线花键滚轧轮CAD及磨削仿真
［J］. 机械工程学报，2005,41(12): 210－215.
Cui F K, Li Y, Zhou Y W, et al. CAD and grinding simulation of involute spline rolling wheel
［J］. Chinese Journal of Mechanical Engineering, 2005, 41 (12): 210-215.
［9］ 王晓强, 崔凤奎, 燕根鹏，等. 40Cr冷滚打成形中位错密度变化研究
［J］. 中国机械工程, 2013, 24(16): 2248-2256.
Wang X Q, Cui F K, Yan G P, et al. Study on dislocation density change during cold roll-beating of 40Cr
［J］.China Mechanical Engineering, 2013, 24(16): 2248-2256.
［10］ Cui F K, Hou L M，Zhang F S, et al. The surface layer work hardening of cold-rolled 40Cr
［J］. Materials Research Innovations, 2015, 19(S9): 100-105.
［11］ 徐永福.冷滚打花键动力学分析与仿真
［D］.洛阳：河南科技大学，2008
Xu Y F. Cold Rolling Spline Dynamics Analysis and Simulation
［D］.Luoyang: Henan University of Science and Technology, 2008.
［12］ 孔祥健, 张敬冲, 姚远， 等. 紫铜材料齿条冷滚打金属变形行为研究
［J］. 西安理工大学学报, 2016, 32(4): 379-387.
Kong X J, Zhang J C, Yao Y, et al. Study on deformation behavior of copper rack with rattan material
［J］. Journal of Xi′an University of Technology, 2016, 32(4): 379-387.
［13］ 环智坚, 许贤博. 基于灰色关联理论的粗糙度优化研究
［J］. 工具技术, 2015, 49(7):98-101.
Huan Z J, Xu X B. Optimization of process parameter for turning based on taughi method and grey relational analysis
［J］. Tools Engineering, 2015, 49(7):98-101.
［14］ 夏新涛, 秦园园, 邱明. 基于灰关系的制造过程稳定性评估
［J］. 航空动力学报, 2015, 30(3):762-768.
Xia X T, Qin Y Y, Qiu M, et al. Evaluation for stability of manufacturing process based on grey relation
［J］. Journal of Aeronautical Dynamics, 2015, 30(3);762-768.
［15］ 夏新涛, 孟艳艳, 邱明. 用灰自助泊松方法预测滚动轴承振动性能可靠性的变异过程
［J］. 机械工程学报, 2015, 51(9):97-103.
Xia X T, Meng Y Y, Qiu M. Forecasting for variation process reliability of rolling bearing vibration performance using grey bootstrap poission method
［J］. Journal of Mechanical Engineering, 2015,51(9): 97-103.
［16］ 杨玉芬.基于模糊数学的机械零件表面结构几何特征研究
［D］.太原：太原理工大学,2011.
Yang Y F. Study on Geometrical Characteristics of Surface Structures of Mechanical Parts Based on Fuzzy Mathematics
［D］. Taiyuan: Taiyuan University of Technology, 2011.
［17］ Ho C Y, Lin Z C. Analysis and application of grey relation and ANOVA in chemical-mechanical polishing process parameters
［J］. International Journal of Advanced Manufacturing Technology, 2003, 21(1):10-14.
［18］ Lo S P. The application of an ANFIS and grey system method in turning tool-failure detection
［J］. International Journal of Advanced Manufacturing Technology, 2002, 19(8):564-572.
［19］ 李郝林, 王健. 基于灰色关联分析的平面磨削工艺参数优化
［J］. 中国机械工程, 2011, 22(6):631-635.
Li H L, Wang J. Determination of optimum parameters in plane grinding by using grey relational analysis
［J］. China Mechanical Engineering, 2011, 22(6): 631-635.
［20］ 赵凌伟. 基于熵权灰关联和证据理论的辐射源识别方法
［J］. 电子测量技术, 2017, 40(4): 34-38.
Zhao L W. Evaluation method of radiation source based on entropy weight gray correlation and evidence theory
［J］. Electronic Measurement Technology, 2017, 40 (4): 34-38.
［21］ Wu X M. Optimization of transmission ratio based on entropy weight theory
［J］. Mechanical Transmission, 2008, 32 (2): 55-57.
|
|
服务与反馈：
|
|
【文章下载】【加入收藏】
|
|
|
|
