EVALUATİON OF B₄C/Tİ COATİNG LAYER, İNVESTİGATİON OF ABRASİVE WEAR BEHAVİORS USİNG TAGUCHİ TECHNİQUE AND RESPONSE SURFACE METHODOLOGY

Abstract

In this study, the surface of AISI 430 stainless steel was alloyed with B4C using the plasma transferred arc welding hardface coating method and the effect of Ti addition was examined. The microstructure of the resultant hardface coating layer was examined through X-ray diffraction (XRD) analyses by using the scanning electron microscopy (SEM). Abrasive wear resistance was analyzed by measuring mass loss according to the L[Formula: see text] orthogonal array using the Taguchi design method. The “smaller the better” principle of the Taguchi method was used in graphic evaluations. Additionally, the effect of wear test factors on mass loss was calculated in % by performing the analysis of variance. As a result, the austenite, martensite, M[Formula: see text](B,C)6, M7(B, C)3, Ti (B,C), Fe3(C,B), Fe3C, Fe2C and Ti (B,C) phases were detected in the coating layers. The effect of these phases on wear behavior was evaluated. In addition, the optimization of the parameters was obtained with response surface methodology (RSM) based on Taguchi orthogonal experimental design. The results given by the effect parameters required for the developed wear estimation are successful. As a result of the ANOVA analysis, the most effective parameters for wear resistance mass loss were determined as wear distance, applied load and abrasive, respectively. It was observed not to have any effect on wear mass loss of the samples. The most suitable parameter values for the lowest wear values were determined.

Parameter Optimization and Machining Performance of Inconel 625 with Nanoparticles Dispersed in Biolubricant

“…LR characteristics were applied for MRR and SR characteristics for Ra and Vx, Vy, and Vz. Using the formula, S/N values for di erent responses were recorded [36][37][38].…”

Decision support system for tool condition monitoring in milling process using artificial neural network

“…The control parameters namely spindle speed, feedrate and depth of cut with three levels were considered. The experimental design matrix was developed using response surface methodology (RSM) (Gur et al, 2020). The surface roughness and flank wear was assessed with surface roughness tester SJ-410 and Tool Makers' Microscope, respectively.…”

Investigation of Sheet Thickness and Punch Force in Die Surface Angled Hydro-mechanical Deep Drawing Method

“…In addition to the high quality of the products; Taguchi experiment design technique provides the opportunity to get better results with much less trial in quality improvement. Tolerance design is applied to select the appropriate performance characteristic and convert the results to the S/N ratio [16,17]. There are three different quality variants in tolerance design.…”