Your browser doesn't support javascript.
loading
Process Parameter Modeling and Optimization of Abrasive Water Jet Dressing Fixed-Abrasive Pad Based on Box-Behnken Design.
Wang, Zhankui; Wang, Shiwei; Ding, Yangyang; Yang, Yakun; Ma, Lijie; Pang, Minghua; Han, Jianhai; Su, Jianxiu.
Afiliación
  • Wang Z; Postdoctoral Station, Henan University of Science and Technology, Luoyang 471000, China.
  • Wang S; Postdoctoral Research Base, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Ding Y; School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Yang Y; School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Ma L; School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Pang M; School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Han J; School of Mechanical and Electrical Engineering, Henan Institute of Science and Technology, Xinxiang 453003, China.
  • Su J; Henan University of Science and Technology, Luoyang 471000, China.
Materials (Basel) ; 15(15)2022 Jul 29.
Article en En | MEDLINE | ID: mdl-35955184
ABSTRACT
Clarifying the influence of the dress process parameters of the abrasive water jet on the dressing effect of fixed-abrasive pads (FAPs) is a prerequisite for online controllable dressing of abrasive water jets. This paper uses three factors and three horizontal response surface methods to explore the influence of jet pressure, abrasive concentration, and nozzle angle on FAP dressing quality. The prediction model of the material removal rate of a FAP machined using three process parameters is established. The influence of pairwise interactions of the three process parameter variables on the dressing effect and the optimal process parameters under each target is analyzed. Finally, the optimal process parameters predicted by the model are verified by experiments. The results show that the best dressing parameters with the MRR of the workpiece as the response value are as follows jet pressure 3.8 MPa, abrasive concentration 3%, and nozzle angle 73°. The predicted value of the optimal process performance is 464.574 nm/min, and the experimental verification result is 469.136 nm/min; the error between the experimental value and the predicted value is within a reasonable range.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Materials (Basel) Año: 2022 Tipo del documento: Article País de afiliación: China