首页> 外文期刊>Journal of Advanced Manufacturing Technology >OPTIMIZATION OF TURNING PARAMETERS FOR TITANIUM ALLOY TI-6AL-4V ELI USING THE RESPONSE SURFACE METHOD (RSM)
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OPTIMIZATION OF TURNING PARAMETERS FOR TITANIUM ALLOY TI-6AL-4V ELI USING THE RESPONSE SURFACE METHOD (RSM)

机译:响应面法(RSM)优化钛合金TI-6AL-4V ELI的车削参数

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Titanium alloys are attractive materials due to their uniquely high strength–weight ratio, which is maintained at elevated temperatures. Due to the low machinability of titanium alloys, optimization of machining conditions is crucial. Uncoated carbide tool (CNGG 120408-SGF-H13A) was used to turn the titanium alloy Ti-6Al-4V ELI. In this study, the effects of cutting speed, feed rate, and depth of cut parameters were examined. Cutting-speed range of 120–220 m/min was used under flooded conditions. Response surface method (RSM) with a Box-Behnken design was utilized to set the 17 parameter runs. Analysis shows that cutting speed had the greatest effect on tool life, followed by feed rate and depth of cut. Meanwhile the feed rate was most significant factor for surface roughness, Ra of machined surface rather than cutting speed and depth of cut. Additionally, the optimum machining conditions were determined using RSM for both tool life and Ra to be a high cutting-speed of 220 m/min and a low depth of cut and feed rate of 0.4 mm and 0.1 mm/rev, respectively. Here the tool life gave 14.55 min for predicted value, but the validation thru experimental work produced 13.05 min, and the error about 10.65%. Moreover the surface roughness, Ra value for predicted was 0.529μm, meanwhile the validation gave 0.489 μm. This error was calculated to 7.56%.
机译:钛合金由于具有独特的高强度/重量比(可在高温下保持)而成为有吸引力的材料。由于钛合金的可加工性低,因此优化加工条件至关重要。使用未涂层的硬质合金工具(CNGG 120408-​​SGF-H13A)车削钛合金Ti-6Al-4V ELI。在这项研究中,研究了切削速度,进给速度和切削深度参数的影响。在淹没条件下使用的切割速度范围为120–220 m / min。采用Box-Behnken设计的响应面方法(RSM)设置了17个参数运行。分析表明,切削速度对刀具寿命影响最大,其次是进给速度和切削深度。同时,进给速度是影响表面粗糙度,机加工表面Ra的最重要因素,而不是切削速度和切削深度。此外,使用RSM确定的最佳加工条件是刀具寿命和Ra分别为220 m / min的高切削速度和0.4 mm和0.1 mm / rev的低切削深度。在这里,工具寿命为预测值提供了14.55分钟,但通过实验工作进行的验证产生了13.05分钟,误差约为10.65%。此外,预测的表面粗糙度为0.529μm,Ra值为0.489μm。该误差计算为7.56%。

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