The optimal machining time value in each cross section workpiece is generated from the zigzag toolpath strategy and 80% width of cut. Endmill uses a diameter of 12 mm and 4 flutes. The width of cut for roughing work is 30%, 50%, and 80%. The cross section shape of the workpiece is rectangular with 5 variation size. The program is based on parameters (speed, feed rate, and width of cut) for pocket roughing operations. The method is simulation use simulation software and optimization with constraint machining time. This paper presents an optimization of CNC milling Machining Time from a variations of machine parameters, toolpath strategy and variations in cross sectional shapes. Machining Time efficiency will reduce production costs. The calculation of the S/N Ratio on various toolpath strategies shows that the width of cut is ranked 1, feed rate as ranked 2, and speed is ranked 3 affected the machining time.ĬNC machines are manufacturing machines for mass products that required to operate quickly. ANOVA analysis on various toolpaths found that the WoC and feed rate were significant factors (P less than 5%) affecting machining time, while the speed factor exceeded P probability (5%). The toolpath strategies that provide the lowest machining time are the constant overlap spiral namely 1.62 min or 1 min 37 seconds. Setting these parameters on the three toolpaths simulated gets the lowest machining time. The lowest machining time from each toolpath strategy is generated from WoC 20%, 3032 RPM speed, and 2286 mm min ⁻¹ feed rate. The parameters of speed and feed rate have been calculated based on WoC values (5%, 10%, and 20%) of the AISI P20 steel material.

NC programs, according to zigzag, paralel spiral, and constant overlap spiral toolpath strategies. Machining simulation parameters on surface finishing are speed, feed rate, and width of cut (WoC), while the depth of cut remains. The cutting tool uses a 12mm flat endmill and 4 number of flutes. Milling simulations provide faster time and lower cost of getting machining time data compared to experiments on actual machines. The simulation was conducted using the L9 orthogonal array on a Swansoft CNC Simulation with the Fanuc OiM operating system. This paper presents a simulation and optimization of machining time during milling of AISI P20 steel using the Taguchi method.

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