Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors
Taguchi Robust Design for Optimizing Surface Roughness of Turned AISI 1045 Steel Considering the Tool Nose Radius and Coolant as Noise Factors
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DOI：
10.1155/2018/2560253
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发表时间：
2018-01-01
影响因子：
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通讯作者：
Soliman, Mahmoud S.
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文献类型：
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作者：
Abbas, Adel T.;Ragab, Adham E.;Soliman, Mahmoud S.
AISI1045已广泛应用于许多需要良好耐磨性和强度的工业应用中。零件表面粗糙度是衡量零件质量的重要指标。必须选择合适的加工工艺参数组合以保证所需的粗糙度。由于大多数研究人员在封闭的实验室和理想的条件下进行实验，因此通常基于理想的实验室条件来定义适当的参数。然而，当在工业车间重复这些实验时，得到了不同的结果。不完善的条件，例如没有特定规格的车刀，如技术诀窍“刀头半径0.4 mm”所示，而用最接近的刀具“刀头半径0.8 mm”替换，以及由于冷却剂泵突然故障而导致工作中的切削液中断，导致了上述不同的实验室-工业条件。这些并发症是现实条件下金属加工过程中常见的常见问题，称为噪声因素。本文采用田口稳健设计方法，选择最佳的切削速度、切深和进给速度组合，在最大限度地减小这两种噪声因素的影响的同时，提高车削AISI1045钢筋的表面粗糙度。所建模型预测的最佳参数与实验结果吻合较好。
AISI 1045 has been widely used in many industrial applications requiring good wear resistance and strength. Surface roughness of produced components is a vital quality measure. A suitable combination of machining process parameters must be selected to guarantee the required roughness values. The appropriate parameters are generally defined based on ideal lab conditions since most of the researchers conduct their experiments in closed labs and ideal conditions. However, when repeating these experiments in industrial workshops, different results are obtained. Imperfect conditions such as the absence of a turning tool with definite specifications as shown in know-how "tool nose radius 0.4 mm" and its replacement with the closest existence tool "tool nose radius 0.8 mm" as well as the interruption of cutting fluid during work as a result of sudden failure in the coolant pump lead to the mentioned different lab-industrial conditions. These complications are common among normal problems that happened during the metal cutting process in realistic conditions and are called noise factors. In this paper, Taguchi robust design is used to select the optimum combination of the cutting speed, depth of cut, and feed rate to enhance the surface roughness of turned AISI 1045 steel bars while minimizing the effects of the two noise factors. The optimum parameters predicted by the developed model showed good agreement with the experimental results.