Design of an ultraprecision computerized numerical control chemical mechanical polishing machine and its implementation

Chupeng Zhang; Huiying Zhao; Xueliang Zhu; Shijie Zhao; Chunye Jiang

doi:10.1117/1.OE.57.1.015104

9 January 2018 Design of an ultraprecision computerized numerical control chemical mechanical polishing machine and its implementation

Chupeng Zhang, Huiying Zhao, Xueliang Zhu, Shijie Zhao, Chunye Jiang

Author Affiliations +

Optical Engineering, Vol. 57, Issue 1, 015104 (January 2018). https://doi.org/10.1117/1.OE.57.1.015104

Abstract

The chemical mechanical polishing (CMP) is a key process during the machining route of plane optics. To improve the polishing efficiency and accuracy, a CMP model and machine tool were developed. Based on the Preston equation and the axial run-out error measurement results of the m circles on the tin plate, a CMP model that could simulate the material removal at any point on the workpiece was presented. An analysis of the model indicated that lower axial run-out error led to lower material removal but better polishing efficiency and accuracy. Based on this conclusion, the CMP machine was designed, and the ultraprecision gas hydrostatic guideway and rotary table as well as the Siemens 840Dsl numerical control system were incorporated in the CMP machine. To verify the design principles of machine, a series of detection and machining experiments were conducted. The LK-G5000 laser sensor was employed for detecting the straightness error of the gas hydrostatic guideway and the axial run-out error of the gas hydrostatic rotary table. A 300-mm-diameter optic was chosen for the surface profile machining experiments performed to determine the CMP efficiency and accuracy.

Citation Download Citation

Chupeng Zhang, Huiying Zhao, Xueliang Zhu, Shijie Zhao, and Chunye Jiang "Design of an ultraprecision computerized numerical control chemical mechanical polishing machine and its implementation," Optical Engineering 57(1), 015104 (9 January 2018). https://doi.org/10.1117/1.OE.57.1.015104

Received: 16 August 2017; Accepted: 6 December 2017; Published: 9 January 2018

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