现代制造工程 ›› 2025, Vol. 536 ›› Issue (5): 27-33.doi: 10.16731/j.cnki.1671-3133.2025.05.004

• 数字化/网络化制造 • 上一篇    下一篇

基于随机森林算法的复杂曲面数控铣削加工规划推荐系统*

丁西北, 王洪申   

  1. 兰州理工大学机电工程学院,兰州 730050
  • 收稿日期:2024-08-16 出版日期:2025-05-18 发布日期:2025-05-30
  • 通讯作者: 王洪申,工学博士,教授,主要研究方向为数字化设计与制造、CAD/CAM。E-mail:whs_1989@126.com
  • 作者简介:丁西北,硕士研究生,主要研究方向为数字化设计与制造、CAD/CAM。E-mail:936831760@qq.com
  • 基金资助:
    *国家自然科学基金项目(61962035)

CNC milling process planning and recommendation system for complex surface based on random forest algorithm

DING Xibei, WANG Hongshen   

  1. School of Mechanical and Electrical Engineering,Lanzhou University of Technology,Lanzhou 730050,China
  • Received:2024-08-16 Online:2025-05-18 Published:2025-05-30

摘要: 为了有效降低复杂曲面数控铣削加工规划的难度,实现其自动生成,提出了一种基于随机森林算法的复杂曲面数控铣削加工规划推荐模型。首先,提取已有数控加工实例的曲面特征和数控操作的工艺信息,结合数控加工理论,构建数控工艺知识库;然后,设计了一种基于随机森林算法的复杂曲面数控铣削加工规划推荐模型,将所提取到的待加工零件的曲面特征以及加工要求作为输入,输出得分最高的数控加工规划参数,进而产生合适的数控铣削加工规划推荐方案;最后运用相应的CAD/CAM软件验证了该推荐模型的有效性。

关键词: 复杂曲面, 数控加工规划, 工艺重用, 随机森林算法

Abstract: To effectively reduce the complexity of CNC milling process planning for complex surfaces and achieve its automatic generation,a recommendation model for CNC milling process planning based on the random forest algorithm was proposed. First,surface features and process information of CNC operations from existing machining instances were extracted,and a CNC process knowledge base was constructed by integrating CNC machining theory. Then,a recommendation model for CNC milling process planning based on the random forest algorithm was designed,which takes the extracted surface features of the part to be machined and the machining requirements as inputs,and outputs the CNC machining planning parameters with the highest score,thereby generating an appropriate CNC milling process planning recommendation scheme. The validity of this model was verified using corresponding CAD/CAM software.

Key words: complex surface, CNC machining planning, process reuse, random forest algorithm

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