The performance of the cutting head of the longitudinal shaft anchor excavation machine based on the fuzzy number and entropy evaluation method

• Autorzy: Zhang Zhengqi , Zhu Zongming , Qiao Shuo , Li Jian

Identyfikatory

DOI

10.37190/msc222905

• Języki publikacji: EN

Abstrakty

EN

The longitudinal shaft anchor excavation machine is a new type of excavating machinery; the cutting head directly participates in cutting work. This paper focuses on the performance parameters of the cutting head. Two variables of the cutting head are selected to study, that is, the included the alloy head clip angle and the alloy head diameter. The installation angle of the pick is 55° and the section spac-ing is 60 mm. Three groups of data were selected for each variable, and the ANSYS finite element analysis software was used to simulate the rock cutting of the pick, and the load characteristics of the pick were obtained. The fuzzy number principle and entropy evaluation method are used to evaluate the load fluctuation, specific energy consumption, and pick load of three groups of data in each variable, and then the optimal performance parameters of the pick are obtained. The specific work is as follows: 1. Two parameter variables of the pick are selected and analyzed by LS-DYNA simulation software to obtain the cutting load of the pick at work. 2. Determine the index set and evaluation set of the cutting head, use the fuzzy number principle and entropy evaluation method to calculate the weight of each pa-rameter variable, create the fuzzy number relation evaluation matrix of performance parameters, and then use the fuzzy number comprehensive evaluation model to calculate the fuzzy number comprehensive evaluation result vector, finally get a set of optimal performance parameters of the pick. The final results show that the cutting head has the best performance when the alloy head clip angle is 100° and the alloy head diameter is 11 mm.

Słowa kluczowe

EN

fuzzy number; entropy evaluation method; pick arrangement; cutting force

• Wydawca: Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Górnictwa Politechniki Wrocławskiej
• Czasopismo: Mining Science
• Rocznik: 2022
• Tom: Vol. 29
• Strony: 75--98
• Opis fizyczny: Bibliogr. 20 poz., rys., tab.

Twórcy

autor

Zhang Zhengqi

• College of Mechanical & Electrical Engineering, Changsha University, Changsha, Hunan 410022, China

• https://orcid.org/0000-0002-1751-7597

autor

Zhu Zongming

• College of Mechanical & Electrical Engineering, Changsha University, Changsha, Hunan 410022, China

autor

Qiao Shuo

• College of Mechanical & Electrical Engineering, Changsha University, Changsha, Hunan 410022, China

autor

Li Jian

• College of Mechanical & Electrical Engineering, Changsha University, Changsha, Hunan 410022, China

Bibliografia

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