Kurumun Atıf Alan Makalesi
Atıf Alan Yayın
Experimental study and analysis of machinability characteristics of metal matrix composites during drilling
Scopus
Toplam 130 atıf DOI
In this study, the metal matrix composite materials were produced by hot press with various production parameters. The drilling experiments were performed on computer numerical control vertical machining centre without cutting fluid. Analysis of variance (ANOVA) was carried out in order to determine the effects of the production parameters on thrust force and surface roughness of metal matrix composites drilled with different feed rate. The effect of production parameters such as temperature, pressure and reinforcement ratio were investigated, and their effects were presented. The optimal level for each production parameters was determined by ‘Maximize the S/N ratio approach with a Taguchi design’. The test results revealed that the reinforcement ratio was the main factor affecting the surface roughness of the metal matrix composites for both feed rate. However, same singularity was not matter on thrust force due to close contribution rates of production parameters and high error rates of analysis. In literature, an increase on the thrust force and the surface roughness values was reported as the feed rate increased during machining. Nevertheless, in our MMCs system, the thrust force and the surface roughness values were in tendency of declination as the feed rate increased which makes this study more novel research.
Atıf Kaynağı
Atıf Yapan Yayın
Parametric optimization for cutting forces and material removal rate in the turning of aisi 5140
Scopus
Havuzumuzda Open Access 37 atıf almış
The present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H‐ABC), which is an improved nature‐inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi’s S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H‐ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H‐ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H‐ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new‐generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.
Atıf Yapan Makale Bilgileri
Kurumlar (5)
Selçuk Üniversitesi
Selçuklu, Turkey
Shandong University
Jinan, China
Sinop Üniversitesi
Sinop, Turkey
South Ural State University
Chelyabinsk, Russian Federation
University of Portsmouth
Portsmouth, United Kingdom