High-efficiency machining of titanium alloys small and deep holes with multivariable adaptive control system

Meng Zhao; Ming Zhou; Tianshang Hu

doi:10.1117/12.3056656

19 December 2024 High-efficiency machining of titanium alloys small and deep holes with multivariable adaptive control system

Meng Zhao, Ming Zhou, Tianshang Hu

Author Affiliations +

Proceedings Volume 13444, Fifth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Mechatronics (MEIMM 2024); 134440O (2024) https://doi.org/10.1117/12.3056656
Event: The 5th International Conference on Mechanical Engineering, Intelligent Manufacturing, and Mechatronics, 2024, Guilin, China

Abstract

A multi-electrode machining method guaranteed by a multivariate adaptive control system was developed to improving stability, efficiency, and reducing work-piece surface burning in electrical discharge machining (EDM) deep holes of titanium alloys. It was found that as current increased exceeding the current-carrying capacity of an electrode , machining state deteriorated quickly to halt the machining. In this case, it was proposed to increase the number of electrodes to enlarge bearing capacity of current so as to using a large current for high machining efficiency. Meanwhile, a multivariate adaptive control system was applied to keep processes fast and stable of machining titanium alloys. Experimental results demonstrated that the multi-electrode driven by the adaptive control system was very effective for machining titanium alloy. When 7 graphite electrodes were used to process titanium alloy with a thickness of 40mm at the same time, the single-hole machining time was 1.27h, and the electrode loss was only 17.81%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Meng Zhao, Ming Zhou, and Tianshang Hu "High-efficiency machining of titanium alloys small and deep holes with multivariable adaptive control system", Proc. SPIE 13444, Fifth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Mechatronics (MEIMM 2024), 134440O (19 December 2024); https://doi.org/10.1117/12.3056656

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