A Review of Dimension Stone Extraction Methods
Abstract
:1. Introduction
2. Dimension Stone Extraction Methods
2.1. Primitive Techniques
2.2. Diamond Wire Cutting
2.3. Diamond Saw Cutting/Circular Saw Cutting
2.4. Expansive Mortar
3. Discussion
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Reference | Objective of this Study | Results and Conclusions |
---|---|---|
[28] | Investigation of the correlation between sawability and the petrographic properties of the rock | The efficiency of the sawing process was found to be more significantly influenced by the grain size of the rock rather than the quartz content. |
[24] | Working conditions of diamond wire cutting machines in the industry | The cutting efficiency regarding rock is contingent upon a combination of non-controlled parameters, including hardness, strength, moisture content, discontinuities, and textural properties, as well as partially or fully controlled parameters, such as machine power, machine positioning (vertical or horizontal cutting), and the number of beads per meter. |
[25] | Prediction of production rates of diamond wire operation using statistical analysis | There is a strong negative correlation observed between the production rates and the increasing values of parameters, such as uniaxial compressive strength (UCS), Brazilian tensile strength, and Schmidt hammer values. Conversely, there is a weak positive relationship between the production rates and the increasing values of the Los Angeles abrasion test. |
[18] | Investigation of rock anisotropy, with the bedding planes of the rock tested against the efficiency of diamond wire cutting machines | The influence of the rock’s bedding plane anisotropy on the cutting efficiency of diamond wire has been unveiled. For optimal cutting efficiency, it is recommended to conduct operations parallel to the bedding planes, or as closely aligned as feasible, considering other prevailing constraints. |
[29] | Effects of operational parameters (peripheral speed and cutting speed) in mono-diamond wire cutting systems in of marble processing | A cubic model was introduced as the most suitable fit for predicting the wear of beads and unit energy values. The results indicated that the optimum peripheral speed exhibited an increasing trend while cutting speed and unit wear values demonstrated a decreasing trend with the progressive enlargement of the average crystal size. |
[30] | Bead wear in diamond wire sawing considering rock properties and production rate | The wear rate of diamond beads exhibits an upward trend as the values of uniaxial compressive strength (UCS) and abrasive factors increase. |
[27,31] | Evaluation of performance in diamond wire sawing using a harmony search algorithm | A novel, adaptive soft-computing algorithm was developed to assess the cutting efficiency of diamond wire. This algorithm possesses the capability to be customized for various quarries that involve different rock types, utilizing their distinctive mechanical and physical properties, such as uniaxial compressive strength (UCS), Young’s modulus, abrasive factor, and hardness. |
Researcher/Reference | Objective of this Study | Results and Conclusions |
---|---|---|
[38] | Prediction of large diameter circular diamond saws (LCDS) in cutting carbonate rocks | A multiple regression model was introduced to predict the performance of the laser-induced crack desorption system (LCDS) using data obtained from the Schmidt hammer test conducted on the stones prepared for cutting. |
[37] | Prediction of sawability and the performance of the LCDS using an artificial neural network | A prediction model was presented to evaluate the performance of the LCDS, taking into account factors such as Brazilian tensile strength, Cerchar abrasivity index, UCS, porosity, and density. |
[44] | Prediction of specific energy consumption in carbonate stone processing by circular diamond saws | The specific energy (SE) value in cutting was compared with various rock properties, including bulk density, apparent porosity, UCS, Brazilian tensile strength, flexural strength, Schmidt rebound hardness, shore hardness, point load strength index, Los Angeles abrasion, and P-wave velocity, for 12 different carbonate rocks. Through regression analysis, it was observed that rocks with higher density, compressive strength, flexural strength, Schmidt and shore hardness, point load index, and P-wave velocity exhibited higher SE values during cutting. |
[34] | Performance characteristics of circular diamond saws with different rocks | The performance of diamond saw blades is influenced by a combination of intricate factors, with the most significant parameters being the depth of cut, SE, and feed rate. These parameters play a critical role in controlling the rate of material removal during cutting operations. |
[42] | Investigation of the performance of traditional diamond saws in granite cutting | The performance of wireframe saws demonstrates an improvement as the feed rate and cutting length increase; meanwhile, it shows a decline with the speed of the main shaft and the chip thickness per diamond crystal. Additionally, a larger contact arc and the consistent formation of longer chips contribute to enhancing the overall performance of the saw. |
[45] | Performance prediction of circular diamond saw machines cutting carbonate rocks | The predictability of sawability and cutting performance can be achieved by utilizing the values of compressive strength, tensile strength, and Los Angeles (LA) abrasion. Simple and multiple regression analyses can be employed to establish relationships and make predictions based on these parameters. |
Uncontrollable Rock Mass Properties | Partially or Fully Controlled Parameters | |
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Properties Related to Machines and Tools | Operating Conditions | |
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Samarakoon, K.G.A.U.; Chaminda, S.P.; Jayawardena, C.L.; Dassanayake, A.B.N.; Kondage, Y.S.; Kannangara, K.A.T.T. A Review of Dimension Stone Extraction Methods. Mining 2023, 3, 516-531. https://doi.org/10.3390/mining3030029
Samarakoon KGAU, Chaminda SP, Jayawardena CL, Dassanayake ABN, Kondage YS, Kannangara KATT. A Review of Dimension Stone Extraction Methods. Mining. 2023; 3(3):516-531. https://doi.org/10.3390/mining3030029
Chicago/Turabian StyleSamarakoon, Karandagoda Gamage Anjana Udara, Samarasuriya Patabendige Chaminda, Chulantha Lakmal Jayawardena, Anjula Buddhika Nayomi Dassanayake, Yasanga Suduweli Kondage, and Kannangara Appuhamilage Tharindu Theekshana Kannangara. 2023. "A Review of Dimension Stone Extraction Methods" Mining 3, no. 3: 516-531. https://doi.org/10.3390/mining3030029