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Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis
Measurement Journal of the International Measurement Confederation Cilt 45 ss. 785-794
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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Determination of Temperature Effects on Cortical Bone Milling Using Taguchi Method
Arabian Journal for Science and Engineering Cilt 51 ss. 2735-2751
Scopus Havuzumuzda Open Access 1 atıf almış
In medical applications, minimizing thermal damage to biological tissue is of utmost importance for cell viability. In this experimental study, the effects of processing parameters on temperature variation during milling of cortical bone were investigated. Using the Taguchi method, optimization of parameters was performed to identify combinations that minimize the thermal rise, thus reducing the risk of necrosis and at the same time preserving bone viability. The effect of cutting tool rotational speed, feed rate, depth of cut and tool geometry on temperature changes in cortical bone samples was analyzed. Bovine femoral cortical bone samples were subjected to controlled milling trials in which temperature changes near the cutting interface were recorded in real time using a camera with a sensitive thermal sensor. Analysis of variance (ANOVA) was used to determine the statistical significance of the effect of parameters on temperature rise. The findings of the study show that there are significant interactions between the machining parameters affecting the thermal response. Statistical analysis showed that the depth of cut was the most important factor on cortical bone processing temperature, contributing 52.1% in reducing temperature values. It is followed by the number of cutting tool teeth with 23.77% and rotational speed with 18.59%. The optimal machining conditions that minimize thermal damage identified by the study provide effective baseline information for safer and more efficient bone milling procedures.
Atıf Yapan Makale Bilgileri
Kurumlar (2)
Konya Technical University Konya, Turkey
Selçuk Üniversitesi Selçuklu, Turkey