| 引用本文: | 邵琦,邵蓝樱,郁炜,王金虎,赵萍,吕冰海,袁巨龙.不锈钢振动辅助力流变抛光[J].哈尔滨工业大学学报,2023,55(1):142.DOI:10.11918/202204051 |
| SHAO Qi,SHAO Lanying,YU Wei,WANG Jinhu,ZHAO Ping,Lü Binghai,YUAN Julong.Vibration-assisted force rheological polishing of stainless steel[J].Journal of Harbin Institute of Technology,2023,55(1):142.DOI:10.11918/202204051 |
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| 不锈钢振动辅助力流变抛光 |
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邵琦1,邵蓝樱1,郁炜2,王金虎1,赵萍1,吕冰海1,袁巨龙1
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(1.浙江工业大学 超精密加工研究中心,杭州 310014;2.衢州学院 电气与信息工程学院,浙江 衢州 324000)
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| 摘要: |
| 为进一步提高力流变抛光效率与抛光质量,提出振动辅助力流变抛光方法。对不锈钢振动辅助力流变抛光加工过程中,工件材料去除过程及不同工艺参数对抛光特性影响进行研究。基于振动辅助力流变抛光原理及试验,以材料去除率和表面粗糙度为评价条件,分析了抛光速度、振动频率和振幅3个关键参数对抛光影响规律。基于田口法设计试验,采用信噪比评估试验结果并得出优化的工艺参数,通过方差分析法得出各因素的权重。结果表明:抛光速度对材料去除率影响最大,振幅次之,振动频率影响最小；抛光速度对表面粗糙度影响最大,振动频率次之,振幅影响最小。在优选的抛光参数组合下,抛光速度40 r·min-1、振幅0.35 mm、振动频率80 Hz,加工30 min后工件表面粗糙度由（80±10） nm下降至（7.1±0.9） nm,其材料去除率达到68 nm·min-1。受振动的抛光液中粒子间发生相对相位差并形成一定的剪切速率,使抛光液产生流变效应并把持游离磨粒。在相对运动作用下对工件表面施加压力及剪切力,以塑性去除方式实现不锈钢材料去除。利用所提方法,在优化工艺参数下可有效去除不锈钢表面划痕,提高表面质量。 |
| 关键词: 振动辅助 力流变抛光 去除过程 材料去除率 表面粗糙度 |
| DOI：10.11918/202204051 |
| 分类号:TG580 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(1,8,52175442)；浙江省自然科学基金探索项目(LY21E050014) |
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| Vibration-assisted force rheological polishing of stainless steel |
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SHAO Qi1,SHAO Lanying1,YU Wei2,WANG Jinhu1,ZHAO Ping1,Lü Binghai1,YUAN Julong1
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(1. Ultra-precision Machining Center, Zhejiang University of Technology, Hangzhou 310014, China; 2.College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, Zhejiang, China)
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| Abstract: |
| To further improve the polishing efficiency and quality of force rheological polishing, this paper proposes a vibration-assisted force rheological polishing (VFRP) method. The material removal process and the influence of different process parameters on polishing characteristics during the VFRP of stainless steel were studied. On the basis of the principle and tests of VFRP, the material removal rate (MRR) and surface roughness were used as evaluation conditions to analyze the effects of three key parameters (polishing speed, vibration frequency, and amplitude) on the polishing characteristics of stainless steel. The test was designed based on the Taguchi method. The signal-to-noise ratio was used to evaluate the test results, and the optimized process parameters were obtained. The weight of each factor was obtained by variance analysis method. Results show that the polishing speed had the greatest influence on MRR, followed by amplitude and vibration frequency. The polishing speed had the greatest impact on surface roughness, followed by vibration frequency and amplitude. Under the optimized combination of polishing parameters (polishing speed 40 r·min-1, amplitude 0.35 mm, and vibration frequency 80 Hz), the surface roughness decreased from (80±10) nm to (7.1±0.9) nm and MRR reached 68 nm·min-1 after processing for 30 min. There was a relative phase difference between the particles in the vibrating polishing fluid and a certain shear rate was formed, which caused the rheological effect of the polishing fluid and the free abrasives were held. The material could be removed in a plastic way by applying pressure and shear force on the workpiece surface under the action of relative motion. The scratches on the stainless steel surface could be effectively removed and the surface quality could be improved under the optimized process parameters. |
| Key words: vibration-assisted force rheological polishing removal process material removal rate surface roughness |
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