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首页> 外文期刊>International Journal of Rock Mechanics and Mining Sciences >Field and laboratory studies on natural stones leading to empirical performance prediction of chain saw machines
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Field and laboratory studies on natural stones leading to empirical performance prediction of chain saw machines

机译:天然石材的现场和实验室研究导致链锯机的性能预测

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摘要

Quarries using chain saw machines have been visited to collect natural stone samples and recording performance and operational conditions of these chain saw machines. After defining the physical and mechanical properties, the samples were tested with a linear cutting test rig using chisel type cutting tools having different sideways angles to determine the cuttability of the stones; this included the maximum tool forces and relationships between cutting performance of chisel tools and the mechanical properties of the stones. Two empirical models for prediction of the areal net cutting rate of the chain saw machines were developed, which is very important for decision makers at the feasibility stage of a quarrying operation. One of the models is based on the chain saw penetration index, and uses the uniaxial compressive strength of the stone, weight of the chain saw machine and useful cutting depth of the arm as predictor parameters. The other model is based on the results of linear cutting experiments performed in the unrelieved cutting mode with a standard chisel tool and uses specific energy as the predictor parameter.
机译:参观了使用链锯机的采石场,以收集天然石材样品并记录这些链锯机的性能和运行状况。定义物理和机械性能后,使用具有不同侧向角度的凿子型切割工具,通过线性切割试验台对样品进行测试,以确定宝石的可切割性。其中包括最大的工具力以及凿子工具的切削性能与宝石机械性能之间的关系。建立了两种预测链锯机面净切割率的经验模型,这对于采石场可行性阶段的决策者来说非常重要。其中一种模型是基于链锯的渗透指数,并使用石材的单轴抗压强度,链锯机的重量和臂的有效切割深度作为预测参数。另一个模型基于使用标准凿子工具在无压切削模式下进行的线性切削实验的结果,并使用比能量作为预测参数。

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