Optimization of Wheel Reprofiling Based on the Improved NSGA-II

Joint Authors

Wang, Xinghu
Yuan, Jiabin
Hua, Sha
Duan, Bojia

Source

Complexity

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-12-23

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Philosophy

Abstract EN

Wheels are the key components of a train, and the shape of the wheel flange should be maintained to ensure the security of train operations.

As a method to maintain the shape at the cost of the diameter size, reprofiling has significant impacts on the lifecycle of a train.

A wheel model is built in this paper based on the analysis of the wheel wear features and datasets from Taiyuan locomotives.

With the decision variables Ti,Ti′, which describe the reprofiling strategy, we formulate a multiobjective optimization problem simultaneously minimizing the reprofiling numbers and maximizing the serving years.

To find the solutions of the multiobjective model, the NSGA-II (nondominated sorting genetic algorithm II) is extended with an alteration of the crowding distance calculation and genetic operators.

The improved NSGA-II performs better than other approaches (e.g., fixed reprofiling strategy, changeable reprofiling strategy, and NSGA-II).

Meanwhile, outstanding solutions with longer servicing years and less reprofiling are listed in this paper.

Our study reveals the relationship between the diameter, flange thickness, and their individual attrition rates and proposes a wear model, multiobjective model, and improved NSGA-II.

Compared with existing reprofiling strategies, the strategy recommended in our work can significantly increase the lifecycle of the wheel coupled with a low repair frequency.

American Psychological Association (APA)

Wang, Xinghu& Yuan, Jiabin& Hua, Sha& Duan, Bojia. 2020. Optimization of Wheel Reprofiling Based on the Improved NSGA-II. Complexity،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1145068

Modern Language Association (MLA)

Wang, Xinghu…[et al.]. Optimization of Wheel Reprofiling Based on the Improved NSGA-II. Complexity No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1145068

American Medical Association (AMA)

Wang, Xinghu& Yuan, Jiabin& Hua, Sha& Duan, Bojia. Optimization of Wheel Reprofiling Based on the Improved NSGA-II. Complexity. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1145068

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1145068