Application of WASPAS Method to Find the Best Input Factors in Internal Grinding SKD11 Tool Steel

The paper reports the results of an optimization study aimed at identifying the ideal input parameters for the internal grinding process of cylindrical-shaped SKD11 tool steel components. Initially, the MEREC method was employed to calculate the criterion weights. The Weighted Aggregates Sum Product Assessment (WASPAS) method was subsequently utilized to tackle the MCDM problem. Additionally, three objectives were examined: surface roughness (SR), material removal rate (MRR), and wheel life (Lw). Additionally, six input factors have been analyzed: rough dressing depth (ar), rough dressing times (nr), fine dressing depth (af), fine dressing times (nf), non-feeding dressing (n0), and dressing feed rate (Sd). The Taguchi method utilizing the L16 (44 + 22) design and the Minitab R19 software were employed to structure the experiment and analyze the results. The MCDM problem has been effectively addressed, and optimal process factors were found.