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氟金云母陶瓷材料铣削温度预测模型及试验研究
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国家自然科学基金面上项目(51975113);国家自然科学基金青年科学基金项目(51905083);教育部中央高校基本科研业务费(N212025)


Milling Temperature Prediction Model and Experimental Study of Fluorphlogopite Ceramic Materials
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    摘要:

    为了研究铣削的主要工艺参数中铣削速度、每齿进给量、铣削宽度和铣削深度对氟金云母陶瓷材料铣削过程中的温度影响,对铣削过程中热量的来源进行分析。通过热源法建立铣削面热源对已加工表面传热的温度数学模型,并优化热量分配比例系数,使数学模型的计算误差减小;设计单因素试验分析主要工艺参数对氟金云母陶瓷的铣削温度影响规律,发现在参数范围内铣削温度均随着加工参数的增大而增大。最后将温度数学模型计算的理论值与试验值进行对比以验证结果的一致性,并发现两者之间的误差在1~11 ℃之间,均在合理误差范围内。

    Abstract:

    In order to study the influence of milling speed,feed per tooth,milling width and milling depth on the temperature of fluorophlogopite ceramic material in the milling process,the source of heat in the milling process was analyzed.The temperature mathematical model of the heat transfer of the milling surface heat source to the machined surface was established by the heat source method,and the heat distribution ratio coefficient was optimized to reduce the calculation error of the mathematical model.A single factor test was designed to analyze the influence of main process parameters on the milling temperature of fluorophlogopite ceramics.It is found that the milling temperature increases with the increase of different processing parameters within the parameter range.Finally,the theoretical value calculated by the temperature mathematical model was compared with the experimental value to obtain the consistency of the results.It is found that the error between them is from 1 ℃ to 11 ℃ and within the reasonable error range.

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蒋涵存,马廉洁,李文博,孙杨,韩智斌,谭雁清,李明.氟金云母陶瓷材料铣削温度预测模型及试验研究[J].机床与液压,2024,52(6):13-18.
JIANG Hancun, MA Lianjie, LI Wenbo, SUN Yang, HAN Zhibin, TAN Yanqing, LI Ming. Milling Temperature Prediction Model and Experimental Study of Fluorphlogopite Ceramic Materials[J]. Machine Tool & Hydraulics,2024,52(6):13-18

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  • 在线发布日期: 2024-04-08
  • 出版日期: 2024-03-28