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.
DAI Wei-tao,LYU Bing-hai,WENG Hai-zhou,SHAO Qi.Optimization Experiment of Acoustic Assisted Shear Thickening Polishing of Cylindrical Surface[J].Surface Technology,2016,45(2):188-193 |
| 圆柱表面声波辅助剪切增稠抛光优化实验研究 |
| Optimization Experiment of Acoustic Assisted Shear Thickening Polishing of Cylindrical Surface |
| 投稿时间：2015-11-16 修订日期：2016-02-20 |
| DOI：10.16490/j.cnki.issn.1001-3660.2016.02.030 |
| 中文关键词: 声波辅助 剪切增稠抛光 田口法 圆柱表面 频率 功率 波形 |
| 英文关键词:acoustic assistance shear thickening polishing Taguchi method cylindrical surface frequency power waveform |
| 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) |
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| Author | Institution |
| DAI Wei-tao | Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China |
| LYU Bing-hai | Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China |
| WENG Hai-zhou | Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China |
| SHAO Qi | Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China |
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| 中文摘要: |
| 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. 32 μm/ 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。 |
| 英文摘要: |
| 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 roughness (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 acoustic 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 workpiece 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. |
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