Geometric-thermal error control system for gear profile grinding machine-Reference-Cited by-同舟云学术

Geometric-thermal error control system for gear profile grinding machine

Published:2022-04 Issue: Volume:52 Page:101618
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Liu Jialan,Ma Chi^ORCID,Gui Hongquan,Li Mengyuan

Funder

National Natural Science Foundation of China

Venture and Innovation Support Program for Chongqing Overseas Returnees

Chongqing Science and Technology Commission

Fundamental Research Funds for the Central Universities

Natural Science Foundation of Chongqing

State Key Laboratory for Manufacturing Systems Engineering

Natural Science Foundation Project of Chongqing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems,Building and Construction

Reference61 articles.

1. Modeling the thermo-mechanical deformations of machine tool structures in CFRP material adopting data-driven prediction schemes;Aggogeri;Mechatronics,2020

2. Thermal displacement error compensation in temperature domain;Morishima;Precis. Eng.,2015

3. Review on thermal design of machine tool spindles;Deng;Opt. Precis. Eng.,2018

4. An identification method for crucial geometric errors of gear form grinding machine tools based on tooth surface posture error model;Xia;Mech. Mach. Theory,2019

5. Crucial Geometric Error Compensation Towards Gear Grinding Accuracy Enhancement Based on Simplified Actual Inverse Kinematic Model;Xia;Int. J. Mech. Sci.,2019

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