Wear characteristics of circular diamond saws in the cutting of different hard abrasive rocks

Ersoy, A.; Buyuksagic, S.; Atici, U.

doi:10.1016/j.wear.2004.09.060

Cited by 128 publications

(54 citation statements)

References 13 publications

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“…The evaluation results were determined by application of (15) and (16) and are shown in Table 12. Table 13 lists the experimental results of segment wear as measured by micrometer.…”

Section: Ranking the Sawabilitymentioning

confidence: 99%

“…A classification method of stone sawability was proposed, and the sawing rate was classified into five categories [7]. The influence of cutting [8,16] parameters and rock properties on specific sawing energy was reported [8]. Production can be predicted from LA abrasion loss, tensile strength, and compressive strength [9].…”

Section: Introductionmentioning

confidence: 99%

“…Shore scleroscope hardness, water absorption, and cone indenter hardness had a greater effect on segment wear than other rock properties [15]. The wear mechanism of diamond segments and a matrix was studied, and the cutting specific energy during the sawing process associated with segment wear was proposed [16].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites

Sun¹,

Zhang²,

Hu³

2017

Mathematical Problems in Engineering

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Fuzzy Analytic Hierarchy Process (FAHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) approaches were employed to predict the sawability of a diamond frame saw to cut granites. FAHP is used to determine the weights of the criteria of decision-makers and TOPSIS is used to rank sawability. The sawability was evaluated by diamond segment wear. The prediction of segment wear is important to determine the segments service life and sawing cost and may determine cutting parameter selection for a given stone. Sawing experiments were conducted to verify the analysis result of the applied method in this study. The experimental results are in good agreement with the theoretical analysis. The ranking method can be used to evaluate segment wear. Stone properties, such as uniaxial compressive strength, shore hardness, quartz content, and bending strength, must be determined for the best segment wear ranking.

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“…The evaluation results were determined by application of (15) and (16) and are shown in Table 12. Table 13 lists the experimental results of segment wear as measured by micrometer.…”

Section: Ranking the Sawabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites

Sun¹,

Zhang²,

Hu³

2017

Mathematical Problems in Engineering

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show abstract

“…Up to now, many studies have been done on the relations between sawability and rock characteristics in stone processing (Burgess, 1978;Wright & Cassapi, 1985;Birle & Ratterman, 1986;Jennings & Wright, 1989;Clausen et al, 1996;Tonshoff et al, 2002;Eyuboglu et al, 2003;Wei et al, 2003;Ersoy & Atici, 2004;Gunaydin et al, 2004;Kahraman et al, 2004;Özçelik et al, 2004;Delgado et al, 2005;Ersoy et al, 2005;Buyuksagis & Goktan, 2005;Kahraman et al, 2006;Fener et al, 2007;Tutmez et al, 2007;Özçelik, 2007;Buyuksagis, 2007;Kahraman et al, 2007;Mikaeil et al, 2008Mikaeil et al, , 2011aMikaeil et al, -c, 2012Mikaeil et al, , 2013aKrauze et al, 2009;Atici & Ersoy, 2009;Ataei et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Predicting the Relationship Between System Vibration With Rock Brittleness Indexes in Rock Sawing Process

Mikaeil¹,

Ataei²,

Ghadernejad³

et al. 2014

Archives of Mining Sciences

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The system vibration is a very significant measure of the sawing performance, because it indicates the amount of energy required to saw the rock. The maintenance cost of system is also dependant on system vibration. A few increases in system vibration cause a huge increase in the maintenance cost of the system. In this paper, the vibration of system in terms of RMSa was investigated and models for estimation of vibration by means of rock brittleness indexes and operational specifications were designed via statistical models and multiple curvilinear regression analysis. In this study, the relationships between rock brittleness indexes and operational specifications were investigated by regression analysis in statistical package for social science (SPSS) and the results of determination coefficients have been presented. In the second part, the diagrams show that a point lying on the line indicates an exact estimation. In the plot for model, the points are scattered uniformly about the diagonal line, suggesting that the models are good. It is very useful to evaluate the vibration of system and select the suitable operational characteristics by only some mechanical properties of rock.Keywords: system vibration, brittleness indexes, sawing process, statistical analysis Drgania układu uważane są za miernik wydajności procesu urabiania, ponieważ pokazują ilość energii niezbędnej do urabiania skały. Od poziomu drgań zależą także koszty eksploatacji systemu. Nieznaczny nawet wzrost poziomu drgań prowadzi do znacznego zwiększenia kosztów eksploatacyjnych urządzenia. W pracy tej przeprowadzono analizę drgań (ich wartości skutecznych) i opracowano model estymacji poziomu drgań w oparciu o współczynnik kruchości skał i parametry eksploatacyjne urządzenia. W pracy wykorzystano modele statystyczne i wielokrotną analizę metodą regresji krzywoliniowej. W pracy obecnej związek pomiędzy współczynnikiem kruchości skał a parametrami eksploatacyjnymi urządzenia badano z wykorzystaniem analizy metodą regresji dostępnej w statystycznym pakiecie oprogramowania dla nauk

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“…They concluded that sawability of carbonate rocks can be predicted from the rock brittleness, which is half the product of compressive strength and tensile strength. Ersoy et al (2004Ersoy et al ( , 2005 experimentally studied the performance and wear characteristics of circular diamond saws in cutting different types of rocks. They derived a statistical predictive model for the saw blade wear where specific cutting energy, silica content, bending strength, and Schmidt rebound hardness were the input parameters of the model.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Power Consumption in Carbonate Rock Sawing Process by Using FDAHP and TOPSIS Techniques

Mikaeil¹,

Ataei²,

Yousefi³

2011

Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains

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Wear characteristics of circular diamond saws in the cutting of different hard abrasive rocks

Cited by 128 publications

References 13 publications

FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites

FAHP and TOPSIS Prediction of Diamond Segments Wear When Using Frame Saw to Cut Granites

Predicting the Relationship Between System Vibration With Rock Brittleness Indexes in Rock Sawing Process

Evaluating the Power Consumption in Carbonate Rock Sawing Process by Using FDAHP and TOPSIS Techniques

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