| 固结磨料研磨蓝宝石的表面粗糙度模型 |
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| 引用本文： | 徐义亮,王建彬,周超群,童勇强,马睿.固结磨料研磨蓝宝石的表面粗糙度模型[J].井冈山大学学报（自然科学版）,2020,41(2):78-84. |
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| 作者姓名： | 徐义亮 王建彬 周超群 童勇强 马睿 |
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| 作者单位： | 安徽工程大学机械与汽车工程学院,安徽,芜湖 241000;芜湖恒信汽车内饰制造有限公司,安徽,芜湖 241009 |
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| 基金项目： | 安徽省自然科学基金项目(1708085QE127)；安徽省高校优秀青年人才支持计划重点项目(gxyqZD2019051); 学校国家基金预研项目
(2017yyzr06)；安徽工程大学2018年度中青年拔尖人才培养计划；南京航空航天大学江苏省精密与微细制造技术重点实验室开放基金；
安徽工程大学研究生教育创新基金项目 |
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| 摘 要： | 表面粗糙度是衡量工件加工质量的重要判定指标。通过分析磨粒的形貌特征,对固结垫表面的有效磨粒进行识别,建立固结磨料研磨蓝宝石的表面粗糙度模型。开展了不同粒径和不同压力条件下的固结磨料研磨蓝宝石的实验研究,对比分析了不同粗糙度模型下实验和模拟结果。结果表明:采用图像识别方法能够精确测算固结磨料垫表面的有效磨粒数,采用图像识别技术测算的表面粗糙度数值与实验结果更为接近,利用该模型能够有效预测固结磨料研磨蓝宝石的表面粗糙度,对于设计工艺路线及优化工艺参数具有重要意义。
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| 关 键 词： | 固结磨粒研磨 有效磨粒 图像识别 表面粗糙度 蓝宝石 |
| 收稿时间： | 2019/10/6 0:00:00 |
| 修稿时间： | 2019/12/16 0:00:00 |
MODEL OF SURFACE ROUGHNESS IN FIXED ABRASIVE LAPPING OF SAPPHIRE |
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| XU Yi-liang,WANG Jian-bin,ZHOU Chao-qun,TONG Yong-qiang and MA Rui.MODEL OF SURFACE ROUGHNESS IN FIXED ABRASIVE LAPPING OF SAPPHIRE[J].Journal of Jinggangshan University(Natural Sciences Edition),2020,41(2):78-84. |
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| Authors: | XU Yi-liang WANG Jian-bin ZHOU Chao-qun TONG Yong-qiang and MA Rui |
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| Institution: | School of Mechanical and Automobile Engineering, Anhui Ploytechnic University, Wuhu, Anhui 241000, China,School of Mechanical and Automobile Engineering, Anhui Ploytechnic University, Wuhu, Anhui 241000, China,Wuhu Hengxin Auto Interior Manufacturing Corporation Limited, Wuhu, Anhui 241009, China,School of Mechanical and Automobile Engineering, Anhui Ploytechnic University, Wuhu, Anhui 241000, China and School of Mechanical and Automobile Engineering, Anhui Ploytechnic University, Wuhu, Anhui 241000, China |
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| Abstract: | Surface roughness is an important indicator for measuring the quality of work-piece processing.By analyzing the topographical characteristics of the abrasive particles,the effective abrasive grains on the surface of the consolidated mat are identified,and the surface roughness model of the fixed abrasive ground sapphire is established.Experimental studies on the grinding of sapphire with fixed abrasives under different particle sizes and pressures are carried out.The experimental and simulation results under different roughness models are compared and analyzed.The results show that the image recognition method can accurately measure the effective number of abrasive grains on the surface of the fixed abrasive pad.The surface roughness value measured by image recognition technology is closer to the experimental results.This model can effectively predict the consolidation of abrasive sapphire.Surface roughness is important for designing process routes and optimizing process parameters. |
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| Keywords: | fixed abrasive lapping number of effective abrasives imagerecognition surfaceroughness sapphire |
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