Vanadis 4E is a powder metallurgic tool steel that provides an excellent combination of wear resistance and ductility for high-performance tools, and it is more machinable than AISI D2 tool steel. This study applied grooving on Vanadis 4E powder metallurgic tool steel with the dimensions of 80 × 105 × 35 mm, and during the milling process, investigated the effects of cutting parameters on surface roughness and tool flank wear. Using the Taguchi L9 (34) array, 9 experiments were carried out. In the experiments, uniform carbide end mills with diameters of 12 mm were used as new and sharpened (first usage, first sharpening, second sharpening), and the experiments were performed with three cutting depths (1, 1.5 and 2 mm), three cutting speeds (60, 80 and 100 m/min) and three feed rates (0.02, 0.04 and 0.06 mm/tooth). During the experiments, temperature measurements were made with a thermal camera from the cutting area, and surface roughness and tool wear measurements were made after every one experiment. The cutting parameters were optimized by using the obtained roughness and flank wear values, and the results were analyzed by signal-to-noise ratios, analysis of variance (ANOVA), three-dimensional graphs and thermal images. After optimization, three confirmation experiments were conducted by using the optimum parameters, and the values that were estimated with the Taguchi method and the results of the verification experiments were compared.

Vanadis 4E是粉末冶金工具钢，可为高性能工具提供出色的耐磨性和延展性，并且比AISI D2工具钢更易于加工。本研究对尺寸为80×105×35 mm的Vanadis 4E粉末冶金工具钢进行切槽，并在铣削过程中研究了切削参数对表面粗糙度和工具侧面磨损的影响。使用Taguchi L9（34）阵列进行了9个实验。在实验中，使用直径为12 mm的均匀硬质合金立铣刀作为新磨刀（第一次使用，第一次磨刀，第二次磨刀），并在三种切削深度（1、1.5和2 mm）下进行了三个切削实验。速度（60、80和100 m / min）和三种进给速度（0.02、0.04和0.06 mm /齿）。在实验期间 使用热像仪从切割区域进行温度测量，并在每个实验后进行表面粗糙度和工具磨损测量。利用获得的粗糙度和后刀面磨损值优化切削参数，并通过信噪比，方差分析（ANOVA），三维图和热图像分析结果。优化后，使用最佳参数进行了三个确认实验，并比较了用Taguchi方法估算的值和验证实验的结果。利用获得的粗糙度和后刀面磨损值优化切削参数，并通过信噪比，方差分析（ANOVA），三维图和热图像分析结果。优化后，使用最佳参数进行了三个确认实验，并比较了用Taguchi方法估算的值和验证实验的结果。利用获得的粗糙度和后刀面磨损值优化切削参数，并通过信噪比，方差分析（ANOVA），三维图和热图像分析结果。优化后，使用最佳参数进行了三个确认实验，并将使用Taguchi方法估算的值与验证实验的结果进行了比较。