Abrasive slurry jet cutting model based on fuzzy relations

6th Global Conference on Materials Science and Engineering

Qiang, C.H.^1 ; Guo, C.W.^1

School of Electrical and Power Engineering, China University of Mining and Technology, Xuzhou, China^1

关键词: Adaptive adjustment;    Learning mechanism;    Linguistic reasonings;    Matlab fuzzy logic toolbox;    Mixed abrasive slurries;    Modeling of surface roughness;    Non-linear relationships;    Roughness predictions;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/283/1/012025/pdf
DOI  :  10.1088/1757-899X/283/1/012025

来源: IOP

【 摘 要 】

The cutting process of pre-mixed abrasive slurry or suspension jet (ASJ) is a complex process affected by many factors, and there is a highly nonlinear relationship between the cutting parameters and cutting quality. In this paper, guided by fuzzy theory, the fuzzy cutting model of ASJ was developed. In the modeling of surface roughness, the upper surface roughness prediction model and the lower surface roughness prediction model were established respectively. The adaptive fuzzy inference system combines the learning mechanism of neural networks and the linguistic reasoning ability of the fuzzy system, membership functions, and fuzzy rules are obtained by adaptive adjustment. Therefore, the modeling process is fast and effective. In this paper, the ANFIS module of MATLAB fuzzy logic toolbox was used to establish the fuzzy cutting model of ASJ, which is found to be quite instrumental to ASJ cutting applications.