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面向低碳高效的铣削工艺参数优化及应用
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  • 英文篇名:Research on Milling Parameters Optimization for Low Carbon and High Efficiency
  • 作者:黄文良 ; 邓朝晖 ; 吕黎曙 ; 万林林
  • 英文作者:HUANG Wenliang;DENG Zhaohui;LV Lishu;WAN Linlin;Intelligent Manufacturing Institute,Hunan University of Science and Technology;Hunan Provincial Key Laboratory of High Efficiency and Precision Machining of Difficult-to-Cut Material,Hunan University of Science and Technology;
  • 关键词:铣削加工 ; 碳排放模型 ; 低碳高效 ; 粒子群算法 ; 工艺参数优化
  • 英文关键词:milling;;carbon emission model;;low carbon and high efficiency;;particle swarm optimization method;;optimization of process parameters
  • 中文刊名:ZZHD
  • 英文刊名:Machine Building & Automation
  • 机构:湖南科技大学智能制造研究院;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;
  • 出版日期:2019-06-20
  • 出版单位:机械制造与自动化
  • 年:2019
  • 期:v.48;No.262
  • 基金:国家高技术研究发展计划资助项目(2014AA041504);; 湘潭市科技计划项目(ZCB20164021)
  • 语种:中文;
  • 页:ZZHD201903004
  • 页数:5
  • CN:03
  • ISSN:32-1643/TH
  • 分类号:18-22
摘要
为实现铣削加工的低碳高效,对铣削加工的碳排放情况进行研究,建立了铣削加工碳排放量化模型,以机床最大功率、刀具寿命和表面粗糙度为约束条件,建立了以主轴转速、进给量、背吃刀量、铣削宽度为优化变量,以加工碳排放和加工时间为优化目标的数控平面铣削工艺参数多目标优化模型。通过粒子群算法对模型进行求解,得到了低碳高效的工艺参数。最后以数控平面铣削优化实验为例进行验证,表明该模型具有较高的精度和较好的优化效果。
        To achieve low carbon and high efficiency in milling process, this paper makes a study of the carbon emission of milling and establishes the model with the cutting speed, feed rate, cut depth, cut width as the variables, the carbon emission and processing time as the optimal target and the machine performance,tool life and surface roughness of the workpiece as the constrained conditions. Particle swarm optimization method is used to obtain the optimal parameters. At last, through the experiment of CNC face milling, it shows that the proposed model is of higher accuracy and betler optimization result.
引文
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