Evaluation of cutting forces in granite treated with microwaves on the basis of multiple linear regression analysis

Shepel, Taras; Grafe, Bruno; Hartlieb, Philipp; Drebenstedt, Carsten; Malovyk, Artem

doi:10.1016/j.ijrmms.2018.04.043

Cited by 41 publications

(6 citation statements)

References 3 publications

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“…e significance test of the multiple linear regression equation, regression coefficient, and goodness of fit was carried out to determine the significance of each parameter, as well as regression diagnosis of the premise assumptions of the regression model, including residual analysis and autocorrelation analysis. Finally, within the range of sample data, the fitted mathematical expression is predicted, another variable is controlled according to one or several variables, and the accuracy of prediction and control is tested [18][19][20].…”

Section: Multiple Linear Regression Analysis Using Spss Softwarementioning

confidence: 99%

Influence Factors’ Analysis of the Face‐End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

Kong

et al. 2021

Advances in Materials Science and Engineering

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In view of the fact that the face-end roof fall under repeated mining of close-distance coal seams seriously affects the normal production of the working face, this paper takes working face 17101 as the background, different influencing factors of face-end roof caving exposed to repeated mining are analyzed through field observation of mine pressure data, different calculation schemes are obtained by using the orthogonal experiment, the subsidence of the face-end roof is taken as the judgment index, UDEC simulation software is used to calculate the subsidence of the face-end roof when different influencing factors change, and the application of SPSS statistical software is used for various parameters of multivariate linear regression analysis. The research results show that the influence degree of different factors from large to small is, respectively, mining height > tip-to-face distance > advancing speed > distance of coal seams > surrounding rock strength > support setting load. It is necessary to strengthen the coordination of all influencing factors and comprehensively control the stability of the face-end roof exposed to repeated mining. Through the analysis of the regression model, it is found that there is no collinearity among the influencing factors, which has a significant influence on the regression equation and regression coefficient, and the multiple linear regression equation has a good fitting effect. The model can predict the stability of the face-end roof exposed to repeated mining, which provides a basis for controlling the face-end roof exposed to repeated mining.

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Section: Multiple Linear Regression Analysis Using Spss Softwarementioning

confidence: 99%

Influence Factors’ Analysis of the Face‐End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

Kong

et al. 2021

Advances in Materials Science and Engineering

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“…Rock is a heterogeneous and brittle material with many internal defects such as micro‐cracks, pores, joints (also called fissures), and cracks. The crushing and removal of the rock are mainly controlled by the defects within the rock mass [11]. Thus, inducing or increasing structural defects on the rock surface through physical or chemical means can effectively weaken the mechanical properties of the rock such as crushing strength and change the mechanics of the interaction the cutters have with rock, thereby reducing cutter wear and increasing rock breaking efficiency.…”

Section: Difficulties and Challengesmentioning

confidence: 99%

From rock‐boring organisms to tunnel boring machines: A new rock breaking technology by bioinspiration

Zheng

Zhi-xin

Nie

et al. 2021

Biosurface and Biotribology

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The purpose of this study is to achieve better understanding of associated mechanisms and to recommend and identify new strategies to develop new rock breaking technology for Tunnel Boring Machines (TBMs). Tunnel Boring Machine tunnelling mainly depends upon the rock breakage caused by cutters moving on a rock surface in a rolling and sliding motion while under the action of thrust force. The rock breaking behaviour is controlled by the mechanical interaction between the cutters and the rock. Due to the high hardness and high abrasiveness of rock, the cutters have to work under very high thrust force and suffer heavy-load-impact and abrasive wear, causing serious wear and low rock breaking efficiency. Rock-boring organisms exist in nature, which achieve drilling and/or tunnelling in rocks through a tribochemical interaction. This phenomenon is called bioerosion and the organisms are natural 'TBMs' to some degree. In this study, the interaction between TBM cutters and rock is presented, and current measures to improve cutter wear and rock breaking efficiency and their limitations are reported. Then, the connotation, mechanism and typical cases of bioerosion are presented. Finally, inspired by bioerosion, a new chemically assisted rock breaking technology is proposed for TBMs.

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“…The mining sector in Africa is young and rapidly growing, with a high proportion of artisanal miners who form part of the rapidly growing populations. Kenya's coastal mineral belt of Taita Taveta is typical of the competing mining and nonmining drivers of environmental change in Africa, which interact in complex ways across space over time with divergent stakeholder interests [16][17][18][19][20].…”

Section: Modern Development Strategies and Geomonitoring Toolsmentioning

confidence: 99%

Spatial data and technologies for geomonitoring of land use under aspect of mineral resource sector development

Adero¹,

Drebenstedt²,

Прокофьева³

et al. 2020

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Evaluation of cutting forces in granite treated with microwaves on the basis of multiple linear regression analysis

Cited by 41 publications

References 3 publications

Influence Factors’ Analysis of the Face‐End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

Influence Factors’ Analysis of the Face‐End Roof Leaks Exposed to Repeated Mining Based on Multiple Linear Regression

From rock‐boring organisms to tunnel boring machines: A new rock breaking technology by bioinspiration

Spatial data and technologies for geomonitoring of land use under aspect of mineral resource sector development

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