A feature-based prediction method for energy consumption of machining process and its application

2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation

材料科学;机械制造;运输工程

Yan, Wei^1,2 ; Zhang, Hua^2,3,4 ; Ma, Feng^3,4

Hubei Province Key Laboratory of Systems Science in Metallurgical Process, Wuhan University of Science and Technology, Wuhan

430081, China^1

Green Manufacturing Engineering Institute, Wuhan University of Science and Technology, Wuhan

430081, China^2

Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Ministry of Education, China^3

Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan

430081, China^4

关键词: Energy consumption model;    Energy consumption prediction;    Energy efficiency assessment;    Energy performance;    Feature-based prediction;    Manufacturing process;    Processing equipment;    Processing parameters;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/382/3/032048/pdf
DOI  :  10.1088/1757-899X/382/3/032048

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Energy consumption prediction for machining process is the basis of the study of energy performance and energy efficiency assessment in manufacturing systems. The existing energy consumption prediction methods for manufacturing process are mainly focused on processing equipment, processing parameters and material. However, part features are also important impact factors for energy consumption of manufacturing process, but these are not studied systematically. In this paper, an energy consumption prediction method based on part feature is proposed. Firstly, the energy consumption of a part feature was analyzed, and an energy consumption model was established based on part multi-features by using matter element theory. Then, a hybrid reasoning method considering case-based reasoning and rule reasoning was studied, and an energy consumption prediction method of manufacturing process was proposed. Finally, a case study of a shaft part was given to verify the effectiveness of the above methods.