Research on multi-objective optimization of decision scheme in CNC manufacturing process

Zian Liu; Kun Qin; Jianchun Liu; Jinfa Su

doi:10.1117/12.2580167

5 November 2020 Research on multi-objective optimization of decision scheme in CNC manufacturing process

Zian Liu, Kun Qin, Jianchun Liu, Jinfa Su

Proceedings Volume 11568, AOPC 2020: Optics Ultra Precision Manufacturing and Testing; 115681M (2020) https://doi.org/10.1117/12.2580167
Event: Applied Optics and Photonics China (AOPC 2020), 2020, Beijing, China

Abstract

From precision machining to green manufacturing, the search for an economical and effective green manufacturing chain system has gradually become the focus of the metal processing industry in order to ensure the quality of workshop manufacturing, increase the production capacity per unit of energy consumption, and reduce processing consumables. The existing research The focus is more on the establishment of the objective function model, the optimization method used and the targeted optimization direction are relatively single, and a more complete manufacturing system has not been established. There are three main optimization goals for processing process parameters in this subject: starting from the direction of processing quality, reducing the surface roughness of the workpiece as the optimization goal, establishing a cutting surface integrity (Ra) function; starting from the direction of enterprise manufacturing, to improve milling efficiency Optimize the objective and establish the cutting efficiency (SEC) function; starting from the processing cost, to reduce the amount of tool wear as the optimization objective, build a machine tool tool wear visual inspection mechanism to assist in the establishment of the tool wear (VB) function, and introduce a non-dominant sorting genetic algorithm to obtain Pareto After the frontier solution, different optimization suggestions are proposed for the refinement of rough/finish processing and general processing. The results show that the NSGA-Ⅱ model has a stronger search ability than the GA model when faced with multiple quasi-measurement decision problems. The processing efficiency can be increased by 42.7%, the tool cost can be saved by 25%, and the workpiece quality can be increased by 21.8%.

Citation Download Citation

Zian Liu, Kun Qin, Jianchun Liu, and Jinfa Su "Research on multi-objective optimization of decision scheme in CNC manufacturing process", Proc. SPIE 11568, AOPC 2020: Optics Ultra Precision Manufacturing and Testing, 115681M (5 November 2020); https://doi.org/10.1117/12.2580167

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Optimization (mathematics)

Manufacturing

Genetic algorithms

Spindles

Surface roughness

Energy efficiency

Data modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years