研究キーワードend milling・tool life prediction・tool temperature prediction・machining simulation・tool path generation
ここは公開データのプレビューです。個別の適合理由、連絡角度、保存機能はログイン後に利用できます。
B
最近の論文・著作
Process design and tool path generation for end milling considering tool lifeIn mass production, the tool life of cutting tools is generally controlled by the number of parts to be machined and the machining time, making it difficult to operate each tool to its full life. In addition, it is desirable to avoid tool changes due to tool life during machining in order to avoid an increase in machining setup time. This study proposes a process design and tool path generation method that predicts tool life based on the tool flank wear width as a cumulative value of the contact length between the tool edge and workpiece during machining, and selects tool assignments and machining sequences for machined parts based on the predicted tool life. Based on the contact length corresponding to the defined tool life and the contact length estimated by machining simulation, a tool is selected that can use up as much of the tool life as possible. Since the contact length during machining varies depending on the cutting conditions, this study proposes a method to shorten the machining time by generating tool paths with different cutting conditions to accelerate the progression of tool flank wear and use up the tool to the limit of its service life, even in situations where the tool is conventionally discarded because it cannot be used up to the limit of its life.
Tool temperature prediction in end milling using voxel model-based simulationIn end milling operations, the tools are exposed to high temperatures and high pressures, which inevitably causes the tool wear progress. It is well known that the tool wear progress strongly depends on the temperature of cutting edge. In this study, the thermal analysis to predict cutting temperature is performed by modeling heat transfer, heat input and heat dissipation between the tool and the workpiece based on the voxel model in which the workpiece and the tool are modeled in Cartesian and cylindrical coordinate systems, respectively. The heat input is estimated by the cutting energy predicted by machining simulation with the instantaneous cutting force model. To verify the validity of the proposed cutting temperature simulation method, the predicted cutting temperature was compared with the experimental results in which tool temperatures in end-milling operation measured by a thermocouple thermometer embedded inside the end mill. The predicted maximum temperature and temperature transient responses were in qualitative agreement with the measured results.
Tool life prediction in end milling using a combination of machining simulation and tool wear progress dataThis study aims to establish a simple method for determining tool replacement timing based on tool wear progress. First, the relationship between machining conditions and tool wear progress was investigated via dry cutting experiments conducted using a 8.0dia. cobalt high-speed steel square end mill as the tool and a piece of SS400 steel as the work material under different spindle speeds, feed rates, and radial depths of cut. From the obtained results, a linear relationship was found between the cutting edge/workpiece contact length, and the flank wear width regardless of different cutting conditions. In this paper, a simple method for determining tool replacement timing based on this relationship and tool wear progress information is proposed. In this method tool replacement timing is determined based on correlations between the cutting edge/workpiece contact length as calculated by a machining simulation and the tool wear progress measured during machining operations. Since the correlation is determined during actual machining operations, tool wear prediction and tool replacement timing determinations are performed simultaneously, which means prior experiments are not necessary. In order to verify the validity of our proposed method, cutting experiments were conducted based on the premise of customized production, in which the machining conditions vary from one product to another. From these results, it was confirmed that the tool can be used up to its tool life based on tool wear predictions and tool replacement timing determinations.
