楚帅震,牛赢,王壮飞,焦锋.GCr15轴套纵扭超声磨削表面形貌预测及试验研究[J].表面技术,2023,52(9):294-305, 339.
CHU Shuai-zhen,NIU Ying,WANG Zhuang-fei,JIAO Feng.Prediction and Experiment on Surface Morphology of Longitudinal- torsional Ultrasonic Grinding of GCr15 Shaft Sleeve[J].Surface Technology,2023,52(9):294-305, 339 |
| GCr15轴套纵扭超声磨削表面形貌预测及试验研究 |
| Prediction and Experiment on Surface Morphology of Longitudinal- torsional Ultrasonic Grinding of GCr15 Shaft Sleeve |
| 投稿时间：2022-11-12 修订日期：2023-03-17 |
| DOI：10.16490/j.cnki.issn.1001-3660.2023.09.025 |
| 中文关键词: GCr15轴套 弹性变形 纵扭超声磨削 表面形貌模型 表面粗糙度 |
| 英文关键词:GCr15 shaft sleeve elastic deformation longitudinal torsional ultrasonic grinding surface morphology model surface roughness |
| 基金项目:国家自然科学基金(52175399);河南省重点研发与推广专项(232102221015);河南省高校基本科研业务费专项资金(NSFRF200102) |
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| Author | Institution |
| CHU Shuai-zhen | School of Mechanical and Power Engineering, Henan Polytechnic University, Henan Jiaozuo 454003, China |
| NIU Ying | School of Mechanical and Power Engineering, Henan Polytechnic University, Henan Jiaozuo 454003, China |
| WANG Zhuang-fei | School of Mechanical and Power Engineering, Henan Polytechnic University, Henan Jiaozuo 454003, China |
| JIAO Feng | School of Mechanical and Power Engineering, Henan Polytechnic University, Henan Jiaozuo 454003, China |
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| 中文摘要: |
| 目的 构建纵扭超声磨削(LTUG)表面形貌预测模型，分析工艺条件和参数对表面粗糙度Ra值的影响，揭示GCr15轴套LTUG内圆表面形成机理。方法 基于弹性变形对LTUG单颗磨粒运动轨迹的影响，根据切削厚度概率密度函数和相邻磨粒轨迹重叠效应，建立了多磨粒超声振动作用下的最大未变形切削厚度模型，利用表面残余材料高度公式建立了GCr15轴套内圆磨削形貌预测模型，以LTUG和普通磨削(OG)方式对GCr15轴套内圆进行试验，采用正交试验验证表面形貌模型的准确性，观察并分析LTUG和OG作用后的GCr15轴套内圆表面形貌，最后利用所建立的表面形貌模型，研究磨削参数和超声振幅对表面Ra值的影响。结果 结果表明，基于所建立的表面形貌模型计算而得的表面Ra值与试验结果间的误差在13.2%以内，与OG相比，LTUG作用下的表面沟槽磨痕更均匀;LTUG作用下的表面轮廓呈现规律的周期性波动，且随振幅的增大，表面轮廓顶峰之间的间距逐渐增大;LTUG作用下的表面Ra值均低于OG，表面Ra值的降低幅度最大达到20%，随振动幅值的增大，表面Ra值逐渐减小，当振幅增大到一定程度时，表面Ra值呈现增大趋势。结论 建立的LTUG形貌预测模型具有良好的准确性，在合适的工艺参数下，LTUG可明显降低表面Ra值，与OG相比，在相同时间内，LTUG作用下的磨粒运动轨迹长度更长，且LTUG区域的弹性变形对磨粒运动轨迹和最大未变形切削厚度均有不同程度的影响。 |
| 英文摘要: |
| In order to establish a surface morphology model of longitudinal-torsional ultrasonic grinding (LTUG), analyze the effect of process conditions and parameters on surface roughness Ra value, and reveal the formation mechanism of internal surface of GCr15 shaft sleeve during LTUG. Firstly, a motion trajectory model of a single abrasive grain in LTUG was established. Combined with the number of vibrations of the abrasive grains in the grinding time, the grinding arc length of a single abrasive grain in the grinding area was obtained. Then, based on the effect of elastic deformation between the grinding wheel grain and the workpiece on the movement track of a single abrasive grain in longitudinal-torsional ultrasonic grinding, according to the probability density function of cutting thickness, the maximum undeformed cutting thickness model of a single abrasive grain under longitudinal torsional ultrasonic vibration was established. Considering the overlapping effect of adjacent abrasive grain motion tracks, the maximum undeformed cutting thickness model under the action of multiple abrasive grains was established. Finally, a morphology prediction model of GCr15 shaft sleeve internal grinding was established using the surface residual material height. The reliability of the morphology model was verified by orthogonal tests of four factors and three levels. Several groups of tests were conducted on the inner ring of GCr15 shaft sleeve by LTUG and ordinary grinding (OG). The surface Ra value of GCr15 shaft sleeve under different grinding methods was observed and analyzed with a field microscope of super depth. The grinding surface Ra value under different amplitudes was simulated and its contour lines were extracted based on established surface morphology model. The actual surface Ra value was observed with a confocal microscope and its contour lines were extracted. The grinding simulation contour and the actual contour were compared and analyzed. The effect of process parameters on the surface Ra value was investigated using the single-factor test method. The results of the orthogonal tests showed that the errors of the test results and the prediction model were within 13.2%. Compared with the OG, there were more uniform surface groove wear marks under LTUG; the surface profile of OG was complex and irregular, but the surface profile of LTUG fluctuated regularly and periodically, and the distance between the peaks of the surface profile increased with the increase of amplitude; Compared with ordinary grinding, with the increase of wheel speed, the surface Ra value of LTUG decreased from 12% to 19.6% and then to 13.7%, with the increase of grinding depth, the surface Ra value of LTUG decreased from 19.2% to 11.9%, with the increase of feed speed, the surface Ra value of LTUG decreased from 14% to 8.1%, and with the increase of workpiece rotation speed, the percentage of surface Ra value reduction in LTUG decreased from 14% to 11.1% and then to 13.6%. In both grinding modes, compared with OG, the surface Ra value under LTUG was always lower than that of OG, and the maximum reduction of surface Ra value was 20%. With the increase of ultrasonic amplitude, the surface Ra value decreased gradually, but when the ultrasonic amplitude increased to a certain extent, the surface Ra value tended to increase. The LTUG surface morphology prediction model established in this paper has good accuracy, under appropriate process parameters, LTUG can significantly reduce surface Ra value, compared with OG, the length of abrasive motion track under LTUG is longer, and the elastic deformation in LTUG area has different effects on abrasive motion track and maximum undistorted cutting thickness. |
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