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Guelma, Algeria

Kribes N.,Laboratory May 8th 1945 University | Hessainia Z.,May 8th 1945 University | Yallese M.A.,May 8th 1945 University
Lecture Notes in Mechanical Engineering | Year: 2015

In this study, the effects of cutting speed, feed rate and depth of cut on surface roughness in the hard turning were experimentally investigated. AISI 4140 steel was hardened to (56 HRC). The cutting tool used was an uncoated AL2O3/TiC mixed ceramics which is approximately composed of 70% of AL2O3 and 30% of TiC. Three factor (cutting speed, feed rate and depth of cut) and threelevel factorial experiment designs completed with a statistical analysis of variance (ANOVA) were performed. Mathematical model for surface roughness was developed using the response surface methodology (RSM) associated with response optimization technique and composite desirability was used to find optimum values of machining parameters with respect to objectives surface roughness. The results have revealed that the effect of feed is more pronounced than the effects of cutting speed and depth of cut, on the surface roughness. However, a higher cutting speed improves the surface finish. In addition, a good agreement between the predicted and measured surface roughness was observed. Therefore, the developed model can be effectively used to predict the surface roughness on the machining of AISI 4140 steel with in 95% confidence intervals ranges of conditions studied. © Springer International Publishing Switzerland 2015. Source


Aouici H.,May 8th 1945 University | Yallese M.A.,May 8th 1945 University | Chaoui K.,Annaba University | Mabrouki T.,University of Lyon | Rigal J.-F.,University of Lyon
Measurement: Journal of the International Measurement Confederation | Year: 2012

In this study, the effects of cutting speed, feed rate, workpiece hardness and depth of cut on surface roughness and cutting force components in the hard turning were experimentally investigated. AISI H11 steel was hardened to (40; 45 and 50) HRC, machined using cubic boron nitride (CBN 7020 from Sandvik Company) which is essentially made of 57% CBN and 35% TiCN. Four-factor (cutting speed, feed rate, hardness and depth of cut) and three-level fractional experiment designs completed with a statistical analysis of variance (ANOVA) were performed. Mathematical models for surface roughness and cutting force components were developed using the response surface methodology (RSM). Results show that the cutting force components are influenced principally by the depth of cut and workpiece hardness; on the other hand, both feed rate and workpiece hardness have statistical significance on surface roughness. Finally, the ranges for best cutting conditions are proposed for serial industrial production. © 2011 Elsevier Ltd. All rights reserved. Source


Elbah M.,May 8th 1945 University | Aouici H.,May 8th 1945 University | Meddour I.,May 8th 1945 University | Yallese M.A.,May 8th 1945 University | Boulanouar L.,Annaba University
Mechanics and Industry | Year: 2016

Statistical tools, as well as mathematical ones, have been widely adopted and their performance has been shown in different engineering problems where randomicity usually exists. In the realm of engineering, merging statistical analysis into structural evaluation and assessment will be a tendency in the future. As a combination of mathematical and statistical techniques, response surface methodology has been successfully applied to design optimization, response prediction and model validation. The aim of this study was to evaluate the impact of factors such as cutting speed, feed rate, and depth of cut on cutting force components and surface roughness of a mixed ceramic (CC650) cutting tool during the hard turning process of AISI 4140 steel. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The depth of cut is the most significant factor that influences the cutting force components and the surface roughness. However, there are other factors that provide secondary contributions to the performance indicators. In the case of surface roughness, the feed rate and the interaction of feed rate and depth of cut provide these contributions whilst for forces components, the feed rate, the interaction of feed rate and depth of cut and the cutting speed provide them. © AFM, EDP Sciences 2016. Source


Bouzid L.,May 8th 1945 University | Boutabba S.,8 May 1945 University of Guelma | Yallese M.A.,May 8th 1945 University | Belhadi S.,May 8th 1945 University | Girardin F.,INSA Lyon
International Journal of Advanced Manufacturing Technology | Year: 2014

The objective of this article is to manufacture low-cost, high-quality products with maximum productivity in short time. In this work, four stages are considered: statistical investigation of the experimental results based on ANOVA, modelling based on regression analysis and mono- and multi-objective optimizations. In the first stage, turning experiments were carried out using an orthogonal array (L16) of Taguchi. Effects of cutting parameters on surface roughness and material removal rate were determined using ANOVA and interaction plots. In the second stage, regression analysis was utilized to formulate second-order models of all data gathered in the experimental works; these models could be used to predict responses in turning of X20Cr13 steel with a minor error. In the third stage, responses were used alone in an optimization study as an objective function. To minimize all responses, Taguchi’s signal-to-noise ratio was used. In the fourth stage, responses were optimized simultaneously using grey relational analysis. © 2014, Springer-Verlag London. Source


Bensouilah H.,May 8th 1945 University | Aouici H.,May 8th 1945 University | Meddour I.,May 8th 1945 University | Yallese M.A.,May 8th 1945 University | And 2 more authors.
Measurement: Journal of the International Measurement Confederation | Year: 2016

The present contribution deals with the study of the effects of cutting speed, feed rate and depth of cut on the performance of machining which traditionally named "machinability". The focus is made on the effect of the pre-cited cutting parameters on the evolution of surface roughness and cutting force components during hard turning of AISI D3 cold work tool steel with CC6050 and CC650 ceramic inserts. Also, for both ceramics a comparison of their wear evolution with time and its impact on the surface equality was proposed. The planning of experiments was based on Taguchi's L16 orthogonal array. The analysis of variance (ANOVA), the signal-to-noise ratio and response surface methodology (RSM) were adopted. Consequently, the validity of proposed linear regression model was checked and the most important parameter affecting the surface roughness and cutting force components were determined. Furthermore, in order to determine the levels of the cutting regime that lead to minimum surface roughness and minimum machining force the relationship between cutting factors was analyzed. The results revealed that the surface quality obtained with the coated CC6050 ceramic insert is 1.6 times better than the one obtained with uncoated CC650 ceramic insert. However, the uncoated ceramic insert was useful in reducing the machining force. © 2015 Elsevier Ltd. All rights reserved. Source

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