Mechanic of Advanced and Smart Materials
Quarterly

Optimization of the nosing process of metal pipe using genetic algorithm

Document Type : Original Article

Author

Mojtaba Esmailian

Faculty of Mechanical, Malek Ashtar University of Technology, Iran

https://doi.org/10.52547/masm.2.2.188
Abstract
Nosing is one of the methods of forming metal pipes, during this process, a metal shell or pipe is guided by a press into a mold that has the shape of the final piece. This method is used to make pressure tanks and CNG cylinders. In this research, the simulation of the nosing process of a steel pipe has been carried out, and then, in order to validate the results of the simulation, it has been compared with experimental tests. Then, with the help of response surface method, a series of experiments were designed and in order to investigate the effect of parameters of thickness, slope of preform pipe wall and friction coefficient between pipe and mold, as well as their interactive effects on the percentage of nosing, analysis of variance method was used. According to the obtained results, the thickness and slope of the preform pipe wall have the greatest effect on the nosing percentage compared to the friction coefficient between the pipe and the mold. A regression equation to predict the percentage of nosing is expressed based on the effective parameters, and finally, the optimal percentage of nosing for the regression equation obtained by the genetic algorithm is obtained.

Keywords

nosing
Pipe forming
Response surface method
Regression equation
Genetic algorithm
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Mechanic of Advanced and Smart Materials
Volume 2, Issue 2
Summer 2022
Pages 188-201

  • Receive Date 11 July 2022
  • Revise Date 16 July 2022
  • Accept Date 16 August 2022

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