Optimization method for rough- finish milling allowance based on depth control of milling affected layer

Author:

Xin Hongmin,Dong Maiming,Xian Chao1,Cheng Qingsi,Dai Hui,Yao Changfeng,Cui Minchao,Li Xingtong

Affiliation:

1. Northwestern Polytechnical University

Abstract

Abstract The optimization of machining allowance has an important influence on the machining quality of workpieces. This paper determined an optimization method for rough-finish milling allowance based on depth control of milling affected layer. Firstly, the coupling influence of rough-finish milling cutting depth on milling affected layer depth is studied by experiment. Secondly, the influence rule of rough milling and finish milling on the affected layer depth is studied by experiment, and the prediction model of the milling affected layer depth based on the cutting depth of rough milling and finish milling is established, as well as the surface roughness prediction model of the finish milling cutting depth. Finally, the effectiveness of the optimization results was verified by experiments. The experimental results show the optimized machining parameters can increase the machining efficiency by 31.2%, and the milling affected layer is 91 µm, which indicates that the depth of milling affected layer is effectively controlled.

Publisher

Research Square Platform LLC

Reference23 articles.

1. Averchenkov A, Koloshkina I, Sheptunov S (2021) Development and optimization of control programs for 2.5-coordinate milling of three-dimensional workpieces on CNC machines. MATEC Web of Conferences 346: 01009

2. Machining deformation of single-sided component based on finishing allowance optimization;Li XY;Chin J Aeronaut,2020

3. An approach for optimizing the fixturing configuration in flexible machining fixtures;Li XY;Int J Prod Res,2021

4. Analysis of multi-objective optimization of machining allowance distribution and parameters for energy saving strategy;He KY;Sustainability,2020

5. Energy modeling and efficiency analysis of aluminum die-casting processes;He KY;Energ Effi,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3