Energy consumption modeling and optimization of part machining process based on feature

Shigang Song; Binbin Zhou

doi:10.1117/12.2675101

28 June 2023 Energy consumption modeling and optimization of part machining process based on feature

Shigang Song, Binbin Zhou

Proceedings Volume 12720, 2022 Workshop on Electronics Communication Engineering; 127200X (2023) https://doi.org/10.1117/12.2675101
Event: 2022 Workshop on Electronics Communication Engineering (WECE 2022), 2022, Xi'an, China

Abstract

Aiming at the influence of the part manufacturing process energy consumption by the process sequence and the choice of the machine tool, the energy consumption modeling and optimization of part machining process based on feature was proposed. The concept of feature process element was proposed, incorporating feature combinations on the basis of comprehensive single feature description, and the corresponding sorting rules were established. Analyzed the machining capability and status information of machine tools, the model of the cutting energy consumption of the machine tool equipment and the energy consumption of the equipment empty cutting between the two features was established. Based on the correlation analysis of the direct and indirect energy consumption of the manufacturing process and the part feature process elements was carried out, the energy consumption correlation model of the part processing process was established, and the depth-first search algorithm was used to optimize the model. Taking a box part as an example to conduct application analysis, the feasibility and effectiveness of the above models and methods were verified

Citation Download Citation

Shigang Song and Binbin Zhou "Energy consumption modeling and optimization of part machining process based on feature", Proc. SPIE 12720, 2022 Workshop on Electronics Communication Engineering, 127200X (28 June 2023); https://doi.org/10.1117/12.2675101

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