A Method of Chatter-Free Milling Parameters Optimization for Processing with High Energy Efficiency

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Hu, Shaohua^1

School of Electrical Engineering, Chongqing Vocational Institute of Engineering, Chongqing

402260, China^1

关键词: Cutting parameters;    Cutting parameters optimizations;    High energy efficiency;    High speed milling;    Milling parameters;    Optimization modeling;    Processing quality;    Total energy consumption;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/4/042038/pdf
DOI  :  10.1088/1757-899X/382/4/042038

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The goal of machining is to fulfill processing for high energy efficiency on the basis that processing quality is guaranteed. Chatter-free cutting is a necessary condition to guarantee processing quality. In order to improve the energy utilization rate of milling, a cutting parameters optimization method for milling is proposed with chatter-free cutting as a constraint and energy utilization rate as an optimization objective. First of all, energy consumption characteristics of machine tool are analyzed and high-speed milling & cutting parameters optimization model is established with high energy efficiency as a goal and chatter-free stable cutting as a constraint. Next, on the basis of energy consumption characteristics of machine tool, an optimization model for high-speed chatter-free milling & cutting parameters is established with high energy efficiency as a goal. Stable domain chart for cutting is used to determine optimization range of rotational speed of main shaft. Optimization range of cutting depth and width and feeding speed is determined in combination with cutting force, cutting power, cutting speed and other constraints. Optimized step length of parameters is selected properly so as to obtain cutting parameters rapidly. In the end, confirmatory experiment is performed on a 5-axis engraving and milling machine. Result of the experiment shows energy utilization rate is improved by 154.5%, total energy consumption reduced by 61.5% and processing time shorten by 74.8%.