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圆柱表面声波辅助剪切增稠抛光优化实验研究
引用本文:戴伟涛,吕冰海,翁海舟,邵琦.圆柱表面声波辅助剪切增稠抛光优化实验研究[J].表面技术,2016,45(2):188-193.
作者姓名:戴伟涛  吕冰海  翁海舟  邵琦
作者单位:浙江工业大学 超精密加工研究中心,杭州,310014;浙江工业大学 超精密加工研究中心,杭州,310014;浙江工业大学 超精密加工研究中心,杭州,310014;浙江工业大学 超精密加工研究中心,杭州,310014
基金项目:国家自然科学基金(51175166);浙江省自然科学基金重点项目(LZ12E05001);浙江省科技计划公益项目(2013C31014)
摘    要:目的获得声波辅助剪切增稠抛光方法抛光轴承钢圆柱表面的最佳工艺参数。方法应用田口法,对声波辅助剪切增稠抛光过程中影响工件材料去除率,以及表面粗糙度的声波频率、声波功率、声波波形等参数进行实验与优化分析,以材料去除率、表面粗糙度为评价条件,得到最优抛光参数,并在最优参数条件下做多组重复性实验以验证结果的可靠性。利用金相显微镜、光学轮廓仪等测试手段对加工后的工件进行表面形貌检测。结果以材料去除率为评价指标,声波频率影响最为显著,声波功率影响次之,声波波形影响最小;以表面粗糙度为评价指标时,声波波形影响最为显著,声波频率影响次之,声波功率影响最小。结论在声波频率为20 Hz、声波功率为25 W、正弦波形条件下,工件材料去除率最高,材料去除率达到了11.32μm/h;在声波频率为60 Hz、声波功率25 W、正弦波形条件下,工件表面质量最佳,抛光1 h后工件平均表面粗糙度Ra由100 nm下降至7 nm以内,最低达到了4.48 nm。

关 键 词:声波辅助  剪切增稠抛光  田口法  圆柱表面  频率  功率  波形
收稿时间:2015/11/16 0:00:00
修稿时间:2016/2/20 0:00:00

Optimization Experiment of Acoustic Assisted Shear Thickening Polishing of Cylindrical Surface
DAI Wei-tao,LYU Bing-hai,WENG Hai-zhou and SHAO Qi.Optimization Experiment of Acoustic Assisted Shear Thickening Polishing of Cylindrical Surface[J].Surface Technology,2016,45(2):188-193.
Authors:DAI Wei-tao  LYU Bing-hai  WENG Hai-zhou and SHAO Qi
Affiliation:Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China,Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China,Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China and Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China
Abstract:Objective To obtain the optimal parameters in the acoustic assisted shear thickening polishing ( ASTP) process of bearing steelcylindrical surface. Methods The Taguchi method was used to analyze and optimize the parameters such as acoustic frequency, acoustic power and acoustic waveform which would influence the material removed rate ( MRR) and the surface rough-ness ( Ra) . The optimized parameters were gained taking MRR and Ra as the evaluation indexes, and multi-group experiments were carried out to verify the reliability of the results under the optimized ASTP conditions and the surface morphology of the processed workpieces was investigated by the test methods including metallurgical microscopy and optical profilometry. Results When the MRR was used as the evaluation index, acoustic frequency was the most significant influencing factor, followed by acoustic power and then acoustic waveform. While Ra was used as the index, acoustic waveform was the most significant influencing factor, followed by acous-tic frequency and acoustic power. Conclusion Based on the analysis results, MRR reached the highest value of 11. 32 μm/h under the conditions of 20 Hz acoustic frequency, 25 W acoustic power and sine wave acoustic waveform. The surface quality of the work-piece was the best under the conditions of 60 Hz acoustic frequency, 25 W acoustic power and sine wave acoustic waveform, and the surface roughness Ra was reduced rapidly from 100 nm to 4. 48 nm after 1 hour processing and the lowest roughness was 4. 48 nm.
Keywords:acoustic assistance  shear thickening polishing  Taguchi method  cylindrical surface  frequency  power  waveform
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