Using Taguchi design of experiments (DoE), experiments were conducted with 3 factors and 3 levels. The factors were the depth of cut, spindle speed, and feed. The responses were surface roughness, flank wear, material removal rate, and spindle vibration along x (Vx), y (Vy), and z (Vz) axis. To convert the multi-response optimization problem into a single response optimization problem, the technique for order of preference by similarity to ideal solution (TOPSIS) was applied. The S/N of the closeness coefficients from TOPSIS was calculated and optimum machining conditions were obtained. Further, analysis of variance (ANOVA) was performed to verify which input parameter significantly affects the output responses. From TOPSIS optimization, the responses like surface roughness and flank wear were decreased by 0.99% and 2.55%. The vibration in x, y, and z-axis decreased by 3.84%, 16.87% and 12.48% respectively. This optimization significantly enhances the machining characteristics.

中文翻译：

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使用 TAGUCHI 与 TOPSIS 耦合的 Inconel 625 端铣削参数的多响应优化

使用田口实验设计 (DoE)，进行了 3 个因素和 3 个水平的实验。这些因素是切削深度、主轴转速和进给量。响应是表面粗糙度、后刀面磨损、材料去除率和主轴振动X(五X),是的(五是的）， 和z(五z) 轴。为了将多响应优化问题转换为单响应优化问题，应用了通过与理想解决方案相似的优先顺序（TOPSIS）技术。计算TOPSIS贴近系数的S/N，得到最佳加工条件。此外，进行方差分析 (ANOVA) 以验证哪个输入参数显着影响输出响应。从 TOPSIS 优化来看，表面粗糙度和后刀面磨损等响应降低了 0.99% 和 2.55%。中的振动X,是的， 和z轴分别下降了 3.84%、16.87% 和 12.48%。这种优化显着增强了加工特性。