文章基本信息

标题：Workpiece Machining Accuracy Prediction Based on Milling Simulation
本地全文：下载
作者：Yan-peng Lv ; Yan-peng Lv ; Ai-min Wang 等
期刊名称：MATEC Web of Conferences
电子版ISSN：2261-236X
出版年度：2016
卷号：77
页码：1-4
DOI：10.1051/matecconf/20167710005
语种：English
出版社：EDP Sciences
摘要：To ensure the machining accuracy of workpiece, it is necessary to predict the workpiece deformation in machining process through establishing a high precision workpiece deformation forecast model. To solve these problems, a more efficient variable stiffness analysis model is proposed, which can obtain quantitative stiffness value of the machining surface. Applying simulated cutting force in sampling points using finite element analysis software ABAQUS, the single direction variable stiffness rule can be obtained. First of all, finite element simulation model of face milling is established with the Johnson-Cook material model and failure model of 7050 aluminum alloy. Prediction model is established based on SVM and input data is provided by the finite element software ABAQUS simulation. Results show that the model prediction relative error is less than 5%. It is concluded that the effects of milling parameters on workpiece machining deformation and practical guide for production.