EXPERIMENTAL AND STATISTICAL INVESTIGATION OF THE EFFECTS OF CUTTING PARAMETERS ON KERF QUALITY AND SURFACE ROUGHNESS IN LASER CUTTING OF Al 5083 ALLOY

Abstract

In this study, the effect of cutting parameters on kerf quality and surface roughness in laser cutting of Al 5083 alloyed material was investigated both experimentally and statistically (Taguchi & Gray Taguchi). Experimental design was determined using the Taguchi L[Formula: see text] (21x 3[Formula: see text] orthogonal array. Experiments were carried out by using two different gas pressures (GP) (8 and 10 bar), three different cutting speeds (CS) (3500, 4000 and 4500[Formula: see text]mm[Formula: see text][Formula: see text][Formula: see text]min[Formula: see text] and laser power (P) (2600, 3100 and 3600[Formula: see text]W) in the cutting of Al 5083 alloyed material. As a result of the study, top kerf width (TKW), bottom kerf width (BKW) and average surface roughness (Ra) were measured as output parameter values. Using the measured top and BKW results, kerf taper (KT) was calculated. The lowest values of TKW, BKW, KT and Ra were 2.219[Formula: see text]mm, 2.010[Formula: see text]mm, 0.984∘ and 2.394[Formula: see text][Formula: see text]m, respectively. To determine the optimum values of laser cutting parameters for minimum output parameters, signal-noise (S/N) ratio, variance and regression analysis, validity experiments and GRA methods were used. When S/N ratios were examined, the most ideal cutting parameters were determined as A1B3C1 for TKW and BKW, A2B1C3 for KT and A2B3C3 for Ra. When the variance results were examined, it was determined that the most effective processing parameter for TKW, BKW and KT was at 46.04%, 50.58% and 56.45% CS, respectively, and the most effective processing parameter for Ra was laser power with 46.57%. According to gray relationship analysis, optimum laser cutting parameters for the smallest values of all output parameters were determined as A1B3C1. According to gray relationship analysis, optimum laser cutting parameters for the smallest values of all output parameters were determined as A1B3C1.

Multiple Optimization of Cutting Parameters Affecting Kerf Formation and Surface Roughness in Laser Cutting of Al 5052 Alloy

“…In addition, the exact measurement may not be taken because chips are formed at the bottom of the plate. Özlü [23] found the CS as the most effective parameter for laser cutting of Al 5083 sheet. This result confirms the Taguchi analysis.…”

FDM Yöntemi̇yle Üreti̇len Abs, Pla Ve Petg Numuneleri̇n Yüzey Pürüzlülüğü Ve Çekme Dayaniminin Modellenmesi̇ Ve Opti̇mi̇zasyonu

“…Proses tasarımı ve ideal proses parametrelerinin belirlenmesi açısından günümüzde, optimizasyon ve teknikleri giderek artan bir şekilde önem kazanmaya devam etmektedir. Taguchi yöntemi, yanıt yüzeyi metodolojisi (RSM), varyans analizi (ANOVA), yapay sinir ağları, bulanık mantık ve genetik algoritma yaygın kullanılan bir takım istatistiksel modellerdir [15][16][17]. İstatistiksel modeller sayesinde, daha az deneme ile optimum koşulların belirlenmesi, işçilik, enerji ve fire gibi maliyetleri önemli miktarda azalmaktadır.…”

Performance analysis of electrode materials in electro discharge machining of monel K-500

“…At the last stage of the analysis, the grey relational degree (GRG) has been determined by taking the average of the grey correlation coefficient. Thus, the multi-response optimization problem is transformed into gray relational degrees using the Taguchi method and gray relational analysis [37,38]. Normalized data, gray correlation coefficients, GRA coefficient values and S/ N ratios for each experimental set are given in table 8.…”