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Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis
Scopus
Toplam 241 atıf DOI
This study presents a new method to determine multi-objective optimal cutting conditions and mathematic models for surface roughness (Ra and Rz) on a CNC turning. Firstly, cutting parameters namely, cutting speed, depth of cut, and feed rate are designed using the Taguchi method. The AISI 304 austenitic stainless workpiece is machined by a coated carbide insert under dry conditions. The influence of cutting speed, feed rate and depth of cut on the surface roughness is examined. Secondly, the model for the surface roughness, as a function of cutting parameters, is obtained using the response surface methodology (RSM). Finally, the adequacy of the developed mathematical model is proved by ANOVA. The results indicate that the feed rate is the dominant factor affecting surface roughness, which is minimized when the feed rate and depth of cut are set to the lowest level, while the cutting speed is set to the highest level. The percentages of error all fall within 1%, between the predicted values and the experimental values. This reveals that the prediction system established in this study produces satisfactory results, which are improved performance over other models in the literature. The enhanced method can be readily applied to different metal cutting processes with greater confidence. © 2012 Elsevier Ltd. All rights reserved.
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Evaluation of Machinability of Cu Matrix Composite Materials by Computer Numerical Control Milling under Cryogenic LN2 and Minimum Quantity Lubrication
Scopus
Havuzumuzda 15 atıf almış
This study focuses on the machinability properties of hybrid reinforced (Co-Mo) copper matrix composite materials. For this purpose, surface roughness (Ra), flank wear (Vb), and cutting temperature (Tc) analyses of hybrid composite materials were performed using CNC milling with dry, air, MQL (minimum amount of lubrication) and cryogenic LN2 cooling/lubrication supports. Two different cutting speeds (200-300 m/min) and two different feed rates (0.2-0.3 mm/rev) were used as cutting parameters. Taguchi L16 orthogonal array was chosen in the experimental design. In addition, chip morphologies of composites processed with different cooling/lubricating supports were examined. As a result, it was seen that the most effective factor on Ra, Vb and Tc levels was cooling/lubrication. A4B1C3D2 (reinforcement rate-level 4, cooling conditions-level 1, cutting speed-level: 3, feed rate-level: 2) equations for surface roughness, A3B1C4D2 (reinforcement rate-level 3, cooling conditions-level 1, cutting speed-level: 4, feed rate-level: 2) for flank wear and A3B1C4D2 (reinforcement rate-level 3, cooling conditions-level 1, cutting speed-level: 4, feed rate-level: 2) for cutting temperature were obtained. Compared to dry machining, approximately 88% improvement in surface roughness, approximately 72% improvement in flank wear and approximately 56% improvement in cutting speed was noted. It was determined that the chips obtained during the CNC milling experiments were of the desired type and size. The most suitable chip was cryo-LN2 type.
Atıf Yapan Makale Bilgileri
Kurumlar (2)
Bingöl Üniversitesi
Bingol, Turkey
Inönü Üniversitesi
Malatya, Turkey