Reliability optimization of crankshaft for high-speed punch based on genetic algorithm method

The crankshaft is one of the most important components of high-speed punch and the design and optimization of crankshaft has fateful consequence to the performance and reliability. The high reliability value of crankshaft contributes to the increasing of the reliability of the whole punch systemin the manufacturing and using process. This study builds a reliability optimization model of the crankshaft for punching process under constraints of the strength, stiffnessand geometry. Genetic algorithm method is employed to make reliability optimization for crankshaft based on ANSYSand MATLAB. The strength and stiffness reliabilityare both set as 0.997, namely, the minimum reliability of crankshaft is 0.997. Theoptimum design parameters based on reliability are obtainedunder the abovecondition. The obtained results demonstrate that genetic algorithm method can be effectively employed to investigate the reliability optimization of crankshaft for high-speed punch.