Abstract
The aim of this research paper is to investigate the machinability of CSN 12050 carbon steel bars using carbide insert tool in order to utilize the optimum cutting parameters by employing Taguchi approach. Experiments have been performed under dry cutting condition using an optimization approach according to Taguchi’s L9(34) orthogonal arrays; signal-to-noise ratio tests are designed. Analysis of variance (ANOVA) was performed to determine the importance of machining parameters on the material removal rate (MRR). The results were analyzed using signal-to-noise ratios (S/N); 3D surface graphs, main effect graphs of mean, and predictive equations are employed to study the performance characteristics. The optimal parameters resulted as A3B2C3 (i.e., cutting speed 275 (m/min), depth of cut 0.35 (mm), and feed rate 0.25 (mm/rev), respectively). In the present study, there is an improvement of 5.22 dB at optimal cutting conditions for each significant MRR response parameters such as cutting speed, depth of cut, and feed rate. With these proposed optimal parameters, it is possible to optimize machinability for product sustainability.
Highlights
Turning process is the most common method for metal cutting and especially for the finishing machined parts in the manufacturing industries
In order to analyze the value of material removal rate (MRR) by combining with the result of experimentation the amount of MRR obtained by turning using CNC lathe can be computed by substituting (2), (3), (4), and (5) into (7), we can develop the new equation (8) as [9]
The experiments are performed on CSN 12050 carbon steel under variable control factors to predict the optimized material removal rate (MRR) during turning process
Summary
Turning process is the most common method for metal cutting and especially for the finishing machined parts in the manufacturing industries. Surface finish (Ra) is the most critical measures for quality, performance, and service life of the mechanical products and it is a good parameter to evaluate the sustainability of the machined products [1,2,3,4]. In turning operations, reducing power consumption and maximizing the material removal rate (MRR) could influence the performance of mechanical components and the production costs in the manufacturing industries [5,6,7,8]. In order to improve the machining conditions, effort is required to minimize the value of power consumption and maximize the value of MRR by selecting optimal turning process parameters such as cutting speed (Vc), depth of cut (Cd), and feed rate (fr) [9,10,11,12]. Taguchi’s method can be applied for optimization of the process parameters to produce high quality products that can encounter the goal of product sustainability [13,14,15]
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