Sawability of diamond wire saw is a cost-sensitive parameter in natural stone quarries that affects directly the production planning and equipment selection. The present study intended to investigate the effect of rock properties on sawability of diamond wire saw in granite quarries by considering the cutting rate and unit wear as the main sawability criteria. Hourly cutting rate of stone and unit wear of diamond impregnated beads of diamond wire saw were measured during the stone sawing process in 9 granite quarries. Moreover, physico-mechanical rock properties were determined in the laboratory. Statistical regression models were built to quantitatively analyze the effect of individual rock property on the cutting rate and unit wear. Further, the principal component analysis (PCA) and best subset regression with Bayesian information criterion (BIC) were performed in order to determine the combined effect of most influential rock properties on sawability. Valid for all tested granites, the experimental results indicated that the tensile strength, abrasivity, and brittleness are the most influential rock properties for the prediction of stone cutting rate, whereas compressive strength, elasticity, and abrasivity are dominant for prediction of unit wear of diamond beads.

在天然石材采石场中，金刚石线锯的可锯性是一个成本敏感参数，直接影响生产计划和设备选择。本研究旨在通过将切削速率和单位磨损作为主要的可锯性标准，研究岩石性能对花岗岩采石场中金刚石线锯可锯性的影响。在9个花岗岩采石场的石材锯切过程中，测量了石材的每小时切割速率和金刚石线锯的金刚石浸渍珠的单位磨损。此外，在实验室确定了物理力学岩石特性。建立统计回归模型以定量分析单个岩石属性对切削速度和单位磨损的影响。进一步，为了确定最具影响力的岩石特性对可锯性的综合影响，进行了主成分分析（PCA）和采用贝叶斯信息准则（BIC）的最佳子集回归。对于所有测试的花岗岩均有效，实验结果表明，抗拉强度，耐磨性和脆性是预测石材切割速率最重要的岩石性质，而抗压强度，弹性和磨蚀性对于预测金刚石的单位磨损至关重要珠子。