Multi-Objective Inversion Design of Cutting Head by Hard Rock Boring Machine Based on Fuzzy Theory and Genetic Algorithms

Abstract:

Article Preview

Along with the shearer's developed in the mining process, especially the rock tunnel boring roadway driving has become a major factor restricting the efficiency of coal, development of a suitable rock tunnel boring machine is very important, this paper use of rock excavation and after the release of stress concentration broken rock rolling theory, inverse problem approach using indirect parameters of the cutting head of, on the cutting head of the energy efficiency and the lowest maximum, minimum tool wear characteristics of multi-objective, were normalized, transformed into single objective problem, a genetic algorithm. The results showed that: the inversion of multi-objective design method is feasible to design a new type of driving hard rock cutting efficiency of institutions to provide 9%, compared with 20% reduction in energy consumption, lower tool wear 55.2% for the rock tunnel excavation needs.

Info:

Periodical:

Advanced Materials Research (Volumes 199-200)

Edited by:

Jianmin Zeng, Zhengyi Jiang, Taosen Li, Daoguo Yang and Yun-Hae Kim

Pages:

1331-1334

DOI:

10.4028/www.scientific.net/AMR.199-200.1331

Citation:

Q. Zhang et al., "Multi-Objective Inversion Design of Cutting Head by Hard Rock Boring Machine Based on Fuzzy Theory and Genetic Algorithms", Advanced Materials Research, Vols. 199-200, pp. 1331-1334, 2011

Online since:

February 2011

Export:

Price:

$35.00

[1] Zhang Qiang. Optimal Inverse Method for Cutting Head of Base Hard Rock Machine on Neural Network [J]. Machine Design & Research. 2010, 26(2): 99-101 In Chinese.

[2] Zhang Qiang. Multi-objective optimi reliability design for cutting head of roadheader based on genetic algorithm[J] Journal of China Coal Society. 2008, 33(12): 1435-1437 In Chinese.

[3] Zhu Pingyu, Liu Deshun, Yang Xiangbi, Chen Anhua. RESEARCH PROGRESS IN INVERSE DESIGN [J]. Journal of Vibration and Shock 2003, 22 (1): 64~71 In Chinese.

In order to see related information, you need to Login.