Services-oriented intelligent milling for thin-walled parts based on time-varying information model of machining system

Author:

Zhao Xiong,Zheng Lianyu,Wang Yahui,Zhang Yuehong

Funder

National Natural Science Foundation of China

Shanxi Provincial Key Research and Development Project

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering

Reference78 articles.

1. Thin-wall machining of light alloys: a review of models and industrial approach;Irene;Material,2019

2. An adjusting method of tool path on machine for NC manufacture of large thin-walled aeronautical part based on integration of CAM and CNC;Gao;Acta Aeronaut Astronaut Sin,2015

3. Global stability predictions for flexible workpiece milling using time domain simulation;Rubeo;J Manuf Syst,2016

4. Interference- and chatter-free cutter posture optimization towards minimal surface roughness in five-axis machining;Zhao;Int J Mech Sci,2020

5. A hybrid driven approach to integrate surrogate model and Bayesian framework for the prediction of machining error of thin-walled parts;Sun;Int J Mech Sci,2021

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