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机构地区:[1]山东大学机械工程学院高效洁净机械制造教育部重点实验室,山东济南250061 [2]济南工程职业技术学院基础部,山东济南250014
出 处:《应用科技》2010年第10期17-20,共4页Applied Science and Technology
基 金:国家"973计划"基金资助项目(2009CB724403);国家自然科学基金资助项目(50675121)
摘 要:为了揭示磨粒与工件的微观作用机理,预测磨削弧区的动态磨粒数目,采用概率统计的方法对磨削弧区的动态磨粒进行研究,建立了动态磨粒的切入深度、接触磨粒和切削磨粒的概率统计数学模型.分析磨削加工参数对接触磨粒概率和切削磨粒概率的影响,分析表明接触磨粒和切削磨粒的概率随着磨削深度和进给速度的增大而增大,随着砂轮线速度的增大而减小.动态磨粒的概率统计数学模型为深入分析磨削力、磨削热、热量分配比和温度场的数值计算与仿真奠定基础.The probability statistical method was used to study the active abrasive in the grinding arc area in order to explore the micro-mechanism of the abrasive and work piece and estimate the amount of active abrasives in the grinding arc area. The probability statistical models of the cut-in depth of active abrasive, the contact abrasive and the cutting abrasive were established. The effect of grinding parameters on probabilities of contact abrasives and cutting abrasives were analyzed. The analysis showed that the probabilities of contact abrasives and cutting abrasives were increasing with grinding depth and feeding speed, decreasing with grinding wheel's linear speed. The probability statistical model of active abrasives lays a foundation for further analysis of grinding force, grinding heat, heat distribution ratio and the calculation and simulation of temperature field.
分 类 号:TG580[金属学及工艺—金属切削加工及机床]
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