Diamond segmented frame saws are used to produce slab from natural stone blocks in stone processing plants. Diamond segments welded on flat steel blades are utilized for rock block cutting in frame saws. Segment wear (SW) affects cutting performance. Physical and mechanical rock properties and advance rate (AR) play a significant role in SW. Therefore, the relationship between SW, AR, and rock properties should be determined to achieve effective cutting. Low SW and high AR yield the most effective cutting. This study employed marble blocks cut in a large-scale diamond segmented frame saw to determine diamond SW and AR for each cutting process to determine the effects of physical and mechanical rock properties and AR on diamond SW. Advance rate, tensile and impact strengths, Shore hardness, modulus of elasticity, and block weight were used to develop a prediction model for SW. For SW, this study proposed an AR-based prediction chart that can be used to provide effective cutting conditions (lowest SW and highest AR) in diamond segmented frame saws.

金刚石分段框架锯在石材加工厂用于从天然石材砌块生产板材。焊接在扁平钢锯片上的金刚石片用于在框架锯中切割岩石块。链节磨损（SW）影响切割性能。岩石的物理和机械性质以及前进速度（AR）在西南地区发挥着重要作用。因此，应确定SW，AR和岩石属性之间的关系，以实现有效的切割。低SW和高AR可实现最有效的切割。这项研究采用在大型金刚石分段锯中切割的大理石块来确定每个切割过程的金刚石SW和AR，以确定物理和机械岩石特性以及AR对金刚石SW的影响。前进速度，拉伸强度和冲击强度，肖氏硬度，弹性模量，和块权重被用来开发SW的预测模型。对于SW，该研究提出了基于AR的预测图，可用于在金刚石分段锯中提供有效的切削条件（最低的SW和最高的AR）。