模具型腔Bezier曲面精加工刀具直径自动获取方法研究
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摘要
文章对一种面向压铸模具型腔Bezier曲面的可变轴铣精加工刀具直径自动获取的方法进行了研究。通过特征识别方法快速识别压铸模具型腔中Bezier曲面,根据曲面上点的曲率半径进行分区,运用曲率分析选择法,建立精加工刀具直径选择的推理规则模型,完成Bezier曲面精加工刀具直径的自动获取,实现多刀具组合加工Bezier曲面。结果表明:通过研究方法获取的精加工刀具直径参数,简单科学高效,同时验证了运用该方法的曲面铣削精加工的精度要优于传统刀具直径选择曲面的精度。
In this paper, a method for automatically obtaining the diameters of a variable-axis milling′s finishing tool for the Bezier surfaces of die casting molds′ cavities is studied. The features′ recognition method is used to rapidly identify the Bezier surfaces in the cavities of the die casting molds. The curvatures′ radius of the points on the surface are partitioned. The method of curvatures′ analysis and selection is used to establish an inference rule model for finishing the tool diameters′ selection, and the diameters of the Bezier surfaces finishing tool are automatically completed. Obtaining Multi-tool combination for machining the Bezier surfaces.The results show that the diameters′ parameters of the finishing tool obtained by this study method are simple and scientific and efficient. At the same time, it is verified that the accuracy of the surface milling finishing using this method is better than that of the selected surfaces based on traditional tool diameters.
In this paper, a method for automatically obtaining the diameters of a variable-axis milling′s finishing tool for the Bezier surfaces of die casting molds′ cavities is studied. The features′ recognition method is used to rapidly identify the Bezier surfaces in the cavities of the die casting molds. The curvatures′ radius of the points on the surface are partitioned. The method of curvatures′ analysis and selection is used to establish an inference rule model for finishing the tool diameters′ selection, and the diameters of the Bezier surfaces finishing tool are automatically completed. Obtaining Multi-tool combination for machining the Bezier surfaces.The results show that the diameters′ parameters of the finishing tool obtained by this study method are simple and scientific and efficient. At the same time, it is verified that the accuracy of the surface milling finishing using this method is better than that of the selected surfaces based on traditional tool diameters.
引文
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[12] Jagadeesh S,Orimi H E,Narayanswamy S. Innovative approaches for coordinate extraction of curved shape and analyzing the effect of process parameters on the quality of the laser micro-machined surface[C]. Laser-based Micro-Nanoprocessing Ⅻ,2018.
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[14] Yang Jiang. Research on Optimization of NC Machining Parameters[C]. 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology,2017.
[2] 杨希,左晓娟,王华昌,等.数控加工中半精加工特征的识别及其应用[J].模具工业,2014,40(7):14-19,25.
[3] 花锋.基于NX二次开发的特征识别技术研究[J].机械制造与自动化,2010,39(6):99-100,135.
[4] 刘红军,伞雷,纪俐,等.基于UG特征识别的典型孔槽类零件数控加工技术[J]. 航空制造技术,2014(23):100-102.
[5] 刘晓军,倪中华,程亚龙,等.面向板腔类零件机加工艺的加工特征识别方法[J]. 计算机集成制造系统,2013,19(12):3130-3138.
[6] 郝小忠,AHMED A A Duroobi,陈文亮,等.Bezier曲面建模方法研究与实现[J].中国制造业信息化,2011,40(23):42-45.
[7] 张善青,孙其新,牛兴华.加工自由曲面的刀具选择研究[J].机械工程师,2006(8):85-86.
[8] 王南,庞博,刘开第.机械加工工艺方案综合评价的未确知测度模型[J].机械设计与制造,2013(11):270-272.
[9] 钟建琳,刘忠和,杨庆东.空间自由曲面五轴联动数控加工[J].机械设计与制造,2011(9):129-131.
[10] 尹德峰,孟广耀,刘高君. 数控铣削加工曲面时刀具轨迹的研究[J]. 机械设计与制造,2007(4):112-113.
[11] 尹震飚. 面向复杂型腔工件高效数控加工的刀具优选技术研究[D].重庆:重庆大学,2011.
[12] Jagadeesh S,Orimi H E,Narayanswamy S. Innovative approaches for coordinate extraction of curved shape and analyzing the effect of process parameters on the quality of the laser micro-machined surface[C]. Laser-based Micro-Nanoprocessing Ⅻ,2018.
[13] Sameh Habib. Optimization of machining parameters and wire vibration in wire electrical discharge machining process[J]. Mechanics of Advanced Materials and Modern Processes,2017,3(1):3.
[14] Yang Jiang. Research on Optimization of NC Machining Parameters[C]. 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology,2017.