Precision holding prediction model for moving joint surfaces of large machine tool

Mulan Wang; Xuanyu Chen; Wenzheng Ding; Kaiyun Xu

doi:10.1117/12.2265308

23 January 2017 Precision holding prediction model for moving joint surfaces of large machine tool

Mulan Wang, Xuanyu Chen, Wenzheng Ding, Kaiyun Xu

Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 103224I (2017) https://doi.org/10.1117/12.2265308
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China

Abstract

In large machine tool, the plastic guide rail is more and more widely used because of its good mechanical properties. Based on the actual operating conditions of the machine tool, this paper analyzes the precision holding performance of the main bearing surface of the large machine tool with plastic guide rail moving. The precision holding performance of the plastic sliding guide rail is studied in detail from several aspects, such as the lubrication condition, the operating parameters of the machine tool and the material properties. The precision holding model of the moving binding surface of the plastic coated guide rail is established. At the same time, the experimental research on the accuracy of the guide rail is carried out, which verifies the validity of the theoretical model.

Citation Download Citation

Mulan Wang, Xuanyu Chen, Wenzheng Ding, and Kaiyun Xu "Precision holding prediction model for moving joint surfaces of large machine tool", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103224I (23 January 2017); https://doi.org/10.1117/12.2265308

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available