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Recent Patents on Mechanical Engineering

Editor-in-Chief

ISSN (Print): 2212-7976
ISSN (Online): 1874-477X

Research Article

Optimization Design of the Luffing Mechanism of Truck Crane Based on NSGA-II

Author(s): Yunsheng Xin*, Shuyi Lv and Ruiyi Dong

Volume 18, Issue 1, 2025

Published on: 22 April, 2024

Page: [57 - 67] Pages: 11

DOI: 10.2174/0122127976290153240417054900

Price: $65

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Abstract

Background: The luffing mechanism of the truck crane is one of the key components of the crane, which is used to control the extension and contraction of the telescopic boom to achieve the luffing function of the crane. With the development of the engineering environment, the lifting height of the truck crane is getting higher and higher, the lifting mass is getting bigger and bigger, and the force situation of the crane luffing mechanism is becoming more and more complicated, in order to improve the stability of the lifting process, it is necessary to carry out the optimization work of the luffing mechanism.

Objective: The purpose of this study is to optimize the luffing mechanism of the truck crane, improve the lifting performance, and improve the stability of the lifting process.

Methods: Inspired by the patent, this paper takes the position of the three hinge points of the luffing mechanism of the truck crane as a research object, carrying on the force analysis, through the mathematical model. The multi-objective optimization model is established with the maximum force, maximum total length change rate and maximum stroke of the variable amplitude hydraulic cylinder as the optimization objectives. The multi-objective genetic algorithm was selected to compute the optimization model. Finally, the satisfaction function based on the robust design method and analytic hierarchy process is established, the optimization results are sorted and screened, and the optimal solution of the three optimization objectives is obtained.

Results: The mathematical model of the structural force was established through mathematical derivation, and the optimization model was solved using MATLAB combined with multi-objective genetic algorithm, and the optimization results show that the force, total length change rate and range of amplitude of the luffing mechanism have been improved.

Conclusion: The mathematical model, the multi-objective optimization method and the satisfaction function method are effective for the optimization of the luffing mechanism. It can be extended and applied to other construction machinery with boom luffing mechanisms and provide a reference for patent application.

Keywords: Crane telescopic boom, truck crane, the luffing mechanism, the three hinge points, optimization, MATLAB.


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