| 机床主轴智能磨削工艺软件的研究与开发 |
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| 引用本文： | 葛智光,邓朝晖,刘伟,万林林,彭克立,吕黎曙. 机床主轴智能磨削工艺软件的研究与开发[J]. 金刚石与磨料磨具工程, 2018, 38(4): 72-76,82. DOI: 10.13394/j.cnki.jgszz.2018.4.0014 |
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| 作者姓名： | 葛智光 邓朝晖 刘伟 万林林 彭克立 吕黎曙 |
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| 作者单位： | 1. 湖南科技大学 难加工材料高效精密加工湖南省重点实验室, 湖南 湘潭 411201;2. 湖南科技大学 智能制造研究院, 湖南 湘潭 411201;3. 湖大海捷(湖南)工程技术研究有限公司, 长沙 410013 |
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| 基金项目： | 国家科技支撑计划课题（2015BAF23B01）；湖南省自然科学联合基金（2017JJ4007）；湘潭市科技计划项目（ZCB20164021）。 |
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| 摘 要： | 以机床主轴磨削工艺方案智能推理为研究对象，研发了满足智能化制造机床主轴的磨削工艺软件。该软件汇集了机床主轴智能磨削工艺基础数据库、工艺知识库、工艺实例优选与智能推理、数控自动编程等多个模块，并应用于数控外圆磨床生产实践中。结果表明:该磨削工艺软件能显著提高主轴数控磨削工艺方案决策的准确度，决策正确率达到96%，工艺决策时间缩短约50%，从而提高加工效率。
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| 关 键 词： | 机床主轴 磨削工艺软件 智能推理 知识库 工艺数据库 |
Research and development of intelligent grinding process software for machine tool spindle |
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| GE Zhiguang,DENG Zhaohui,LIU Wei,WAN Linlin,PENG Keli,LV Lishu. Research and development of intelligent grinding process software for machine tool spindle[J]. Diamond & Abrasives Engineering, 2018, 38(4): 72-76,82. DOI: 10.13394/j.cnki.jgszz.2018.4.0014 |
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| Authors: | GE Zhiguang DENG Zhaohui LIU Wei WAN Linlin PENG Keli LV Lishu |
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| Affiliation: | 1. Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-cut Material of HNUST, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China;2. Intelligent Manufacturing Institute, Hunan University of Science and Technology, Xiangtan 411201, Hunan, China;3. Hunan University Hicam(Hunan) Engineering Technology Research Co., Ltd., Changsha 410013, China |
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| Abstract: | To study the intelligent reasoning of the process to grind machine tool spindle, a grinding process software is developed to satisfy its intelligent manufacturing. The software includes several modules, such as the basic database of the intelligent grinding process for machine tool spindle, the process database, the optimized examples of process & intelligent reasoning, and the automatic numerical control & programming. Experiment on the CNC outer grinding machine shows that the software could significantly improve the accuracy of the decision making of the spindle numerical control grinding process up to 96%, and that the decision time is reduced by 50%, thus improving the processing efficiency. |
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