Visualization and Use of machining know-how for Cutting Process Planning

切削工艺规划的加工专业知识的可视化和使用

• 批准号: 05650113
• 负责人: OBIKAWA Toshiyuki
• 金额: $ 1.41万
• 依托单位: Tokyo Institute of Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for General Scientific Research (C)
• 财政年份: 1993
• 资助国家: 日本
• 起止时间: 1993 至 1994
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05650113/
• 关键词: Cutting; Process Planning; Expert; Know-how; Visualization; Cutting model; Cutting temperature; Tool wear; 熟練技能者; 切削; ノウハウ; 切削温度

Since expert skills play important roles in metal cutting, it is necessary to use the knowledge of experts to establish highly automated machining systems. Expert systems based on the quantitative knowledge, however, often does not work well because there are many conflicting knowledge of machining, which would not be resolved easily.In this study cutting forces and cutting temperature are assumed as the solutions of welldefined problems and their visualization are used in order to clarify the know-how of experts and determine cutting conditions rationally.The visualization systems are constructed in a EWS and personal computers. This would enable many tool engineers and workers to experience how the cutting temperature changes with cutting conditions. Tool wear is further predicted using cutting temperature and cutting forces and a wear characteristic equation, which is revised through a newly proposed concept of adaptive prediction.Machining accuracy, surface finish and grooving wear, which are not able to be predicted analytically, are obtained through neural networks in this study. Data obtained by the simulations are used as reliable input of neural networks.A case study for finding the optimum cutting conditions under the constraints of maximum flank wear and the maximum surface finish are examined.

由于专家技能在金属切削中起着重要的作用，因此有必要利用专家的知识来建立高度自动化的加工系统。然而，基于定量知识的专家系统往往不能很好地工作，因为有许多相互冲突的加工知识，这些知识不容易得到解决。本研究将切削力和切削温度作为明确问题的解，并将其可视化，以明确专家的知识，合理确定切削条件。可视化系统是在EWS和个人计算机上构建的。这将使许多工具工程师和工人能够体验切削温度如何随切削条件变化。刀具磨损进一步预测使用切削温度和切削力和磨损特征方程，这是通过一个新提出的自适应预测的概念进行修订。利用神经网络对无法解析预测的加工精度、表面光洁度和切槽磨损进行了预测。仿真得到的数据作为神经网络的可靠输入。研究了在最大侧面磨损和最大表面光洁度约束下寻找最佳切削条件的实例。

项目成果

T. Obikwa, W. N. Liu, T. Shirakasi: "Prediction of Cutting Temperature and Flank Wear Rate for Practical Use Using Personal Computer" IMCC'95. (発表予定). (1995)

T. Obikwa、W. N. Liu、T. Shirakasi：“使用个人计算机预测实际使用的切削温度和后刀面磨损率”IMCC95（待提交）。

松村 隆,帯川利之,白樫高洋,臼井英治: "切削加工の自律型作業設計" 精密工学会誌. 59. 1676-1682 (1993)

Takashi Matsumura、Toshiyuki Obikawa、Takahiro Shirakashi、Eiji Usui：“切削的自主工作设计”日本精密工程学会杂志 59. 1676-1682 (1993)。

T.Obikawa, H.Sasahara and T.Shirakashi: "Visualization of machining know-how using computational machining" Proc.of JSME 72hd. V. 176-178 (1994)

T.Obikawa、H.Sasahara 和 T.Shirakashi：“使用计算加工实现加工技术的可视化”Proc.of JSME 72hd。

帯川利之,笹原弘之,白樫高洋: "計算加工学による切削加工のノウハウの可視化" 日本機械学会第72期全国大会講演論文集. (発表予定).

Toshiyuki Obikawa、Hiroyuki Sasahara、Takahiro Shirakashi：“使用计算机加工实现切削技术的可视化”第 72 届日本机械工程师学会全国会议论文集（待提交）。

帯川利之,松村 隆: "切削加工技術の可視化,適応,最適化" 精密工学会誌. 60. 641-646 (1994)

Toshiyuki Obikawa、Takashi Matsumura：“切削技术的可视化、适应和优化”日本精密工程学会杂志 60. 641-646 (1994)。