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Optimization of Motor Rotor Punch Wear Parameters Based on Response Surface Method
by
Zhao, Zhendong
, Wen, Shaobo
, She, Ran
, Gong, Yipeng
in
Accuracy
/ Archard model theory
/ Blanking
/ Blanking dies
/ blanking forming
/ Clearances
/ Deformation
/ Deformation wear
/ Design factors
/ Fillets
/ Finite element method
/ Friction
/ Magnetic fields
/ Metal forming
/ Motor rotors
/ Optimization
/ parameter optimization
/ Parameters
/ Polynomials
/ punch wear
/ Punching
/ Regression models
/ response surface design
/ Response surface methodology
/ Silicon
/ Simulation
/ Software
/ Temperature
2024
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Optimization of Motor Rotor Punch Wear Parameters Based on Response Surface Method
by
Zhao, Zhendong
, Wen, Shaobo
, She, Ran
, Gong, Yipeng
in
Accuracy
/ Archard model theory
/ Blanking
/ Blanking dies
/ blanking forming
/ Clearances
/ Deformation
/ Deformation wear
/ Design factors
/ Fillets
/ Finite element method
/ Friction
/ Magnetic fields
/ Metal forming
/ Motor rotors
/ Optimization
/ parameter optimization
/ Parameters
/ Polynomials
/ punch wear
/ Punching
/ Regression models
/ response surface design
/ Response surface methodology
/ Silicon
/ Simulation
/ Software
/ Temperature
2024
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Optimization of Motor Rotor Punch Wear Parameters Based on Response Surface Method
by
Zhao, Zhendong
, Wen, Shaobo
, She, Ran
, Gong, Yipeng
in
Accuracy
/ Archard model theory
/ Blanking
/ Blanking dies
/ blanking forming
/ Clearances
/ Deformation
/ Deformation wear
/ Design factors
/ Fillets
/ Finite element method
/ Friction
/ Magnetic fields
/ Metal forming
/ Motor rotors
/ Optimization
/ parameter optimization
/ Parameters
/ Polynomials
/ punch wear
/ Punching
/ Regression models
/ response surface design
/ Response surface methodology
/ Silicon
/ Simulation
/ Software
/ Temperature
2024
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Optimization of Motor Rotor Punch Wear Parameters Based on Response Surface Method
Journal Article
Optimization of Motor Rotor Punch Wear Parameters Based on Response Surface Method
2024
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Overview
To reduce the wear of the motor rotor punching punch and ensure the efficiency is the highest in actual production, the finite element analysis software Deform-3Dv11 is used to simulate the punch wear based on the Archard model theory. With punch wear as the response target and punch speed, punch clearance, and punch edge fillet as the main factors, 17 groups of response surface Box–Behnken test designs are established, as well as a quadratic polynomial regression model between the main factors and the response. The results revealed that: the influence of various parameters on punch wear is in the order of punch edge fillet C > punch clearance B > punch speed A; the order of the interactive influence of various factors is as follows: punch speed and punch edge fillet AC > punch speed and punch clearance AB > punch clearance and punch edge fillet BC. The optimal blanking process combination obtained by using Design-Expert13 software is as follows: blanking speed 50 mm/s, blanking clearance 0.036 mm, and die cutting edge rounded corner 0.076 mm; the predicted response surface value is 6.95 × 10−12 mm. Through simulation verification, the actual optimized simulation value is 6.93 × 10−12 mm, with an absolute relative error of 2.5% for the predicted response value. Moreover, the optimized simulation value is reduced by 30.4% compared to the one before optimization, effectively reducing the punch wear of the motor rotor punching forming and providing a theoretical foundation for further wear optimization.
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