S/n Ratio

The process of cutting low carbon steel (ST-37) typically utilizes High-Speed Steel (HSS) tools owing to their high hardness, affordability, and ease of shaping tool geometry. In machining, tool geometry plays a crucial role in the material cutting process and determines the quality of the final product, particularly surface roughness. The objective of this research is to achieve optimal surface roughness by varying the tool geometry and nose radius. This study employed an experimental approach using ST-37 and HSS tools. The variations in tool geometry include side rake angles of 12°, 15°, and 18°; side cutting edge angles of 85°, 80°, and 75°; and nose radii of 0 mm, 0.4 mm, and 0.8 mm. The machining parameters applied consist of a cutting depth of 1 mm and 2 mm, spindle rotation speeds of 185 rpm, 425 rpm, and 624 rpm, and a feed rate of 0.05 mm/rev, 0.075 mm/rev, and 0.1 mm/rev. Tool wear measurements were captured using a USB camera, whereas the surface roughness was assessed using a surface roughness tester. The impact of the tool geometry on the surface roughness was analyzed using the Taguchi-Grey Relational Analysis (Taguchi-GRA) and ANOVA methods. The optimal combination for ST-37 lathe machining with a sharpening tool is: A1 (cutting depth 1 mm), B1 (cutting speed 17.42 m/min), C3 (feed 0.05 mm/rev), D1 (corner radius 0 mm), E3 (side rake angle γ 18°), and F3 (side cutting edge angle γ 75°). According to the Analysis of Variance (ANOVA), three factors-cutting speed, tool tip angle, and chip angle-should be considered to achieve minimal tool wear and desirable surface roughness during machining.

The purpose of this research was an analysis of the optimum cutting conditions for the lowest surface roughness in tangential cylindrical grinding of the AISI D3 tool steel using the Taguchi method. In this experimental investigation, the surface roughness with various wheel speeds, workpiece speeds, feed rates and depths was observed. The surface roughness was investigated employing the Taguchi design of experiments and an analysis of variance (ANOVA). Significant machining parameters were identified using the signal-to-noise ratio. The results of the experiments indicate that the wheel speed and feed rate have dominating effects on the surface roughness during the cutting. The developed new grinding process can be used in the machining industries in order to determine the optimum cutting parameters for the minimum surface roughness. Keywords: tangential cylindrical grinding, Taguchi method, surface roughness, ANOVÂ lanek predstavlja analizo optimalnih pogojev rezanja s Taguchi metodo, za doseganje najmanj{e hrapavosti pri tangencialnem cilindri~nem bru{enju orodnega jekla AISI D3. Pri teh eksperimentih je bila opazovana hrapavost povr{ine pri razli~nih hitrostih kolesa, razli~nih hitrostih obdelovanca ter razli~nih hitrostih in globinah podajanja. Povr{inska hrapavost je bila preiskovana z uporabo Taguchi-jeve postavitve preizkusov in analize variance (ANOVA). Pomembni parametri obdelave so bili identificirani z uporabo razmerja signal-hrup. Rezultati eksperimentov ka`ejo, da imata hitrost kolesa in hitrost podajanja prevladujo~o vlogo pri hrapavosti povr{ine in parametrih rezanja. Razvoj novega postopka bru{enja se lahko uporabi v strojni industriji za dolo~anje optimalnih pogojev rezanja pri minimalni hrapavosti povr{ine. Klju~ne besede: tangencialno cilindri~no bru{enje, Taguchi metoda, hrapavost povr{ine, ANOVA

The purpose of this research was an analysis of the optimum cutting conditions for the lowest surface roughness in tangential cylindrical grinding of the AISI D3 tool steel using the Taguchi method. In this experimental investigation, the surface roughness with various wheel speeds, workpiece speeds, feed rates and depths was observed. The surface roughness was investigated employing the Taguchi design of experiments and an analysis of variance (ANOVA). Significant machining parameters were identified using the signal-to-noise ratio. The results of the experiments indicate that the wheel speed and feed rate have dominating effects on the surface roughness during the cutting. The developed new grinding process can be used in the machining industries in order to determine the optimum cutting parameters for the minimum surface roughness. Keywords: tangential cylindrical grinding, Taguchi method, surface roughness, ANOVÂ lanek predstavlja analizo optimalnih pogojev rezanja s Taguchi metodo, za doseganje najmanj{e hrapavosti pri tangencialnem cilindri~nem bru{enju orodnega jekla AISI D3. Pri teh eksperimentih je bila opazovana hrapavost povr{ine pri razli~nih hitrostih kolesa, razli~nih hitrostih obdelovanca ter razli~nih hitrostih in globinah podajanja. Povr{inska hrapavost je bila preiskovana z uporabo Taguchi-jeve postavitve preizkusov in analize variance (ANOVA). Pomembni parametri obdelave so bili identificirani z uporabo razmerja signal-hrup. Rezultati eksperimentov ka`ejo, da imata hitrost kolesa in hitrost podajanja prevladujo~o vlogo pri hrapavosti povr{ine in parametrih rezanja. Razvoj novega postopka bru{enja se lahko uporabi v strojni industriji za dolo~anje optimalnih pogojev rezanja pri minimalni hrapavosti povr{ine. Klju~ne besede: tangencialno cilindri~no bru{enje, Taguchi metoda, hrapavost povr{ine, ANOVA

This paper presents a study to ensure the minimum values of Ra and Rz, and the maximum value of MRR when external cylindrical grinding by the PSI method. The experiments were performed according to the orthogonal Taguchi L9 matrix with the input parameters including workpiece speed, feed rate, and depth of cut in the conventional grinding machine. Analysis of experimental results by Pareto chart showed that the feed rate and the depth of cut most influence on Ra and Rz, respectively. Feed rate and depth of cut all have a great influence on MRR. Meanwhile, the workpiece speed has a negligible effect on all three output parameters. The research results showed that to obtain the minimum values of Ra and Rz, and maximum of MRR, the workpiece speed, feed rate, and depth of cut were 400 rev/min 37.7 mm/min, 0.09 mm/rev, and 0.02 mm, respectively.

This article presents an experimental investigation and statistical analysis of the effects of cutting conditions on the machining performance of AISI 1045 steel using a wiper-shaped insert. Experimental findings are used to compare the machining performance obtained using wiper inserts with those obtained using conventional round-nose inserts as recently reported in the literature. In addition, the effects of process conditions, namely cutting speed, feed rate, and depth of cut, are analyzed in order to obtain optimum conditions for both types of inserts. The goal is to achieve the optimal machining outcomes: minimum surface roughness, resultant cutting force, and cutting temperature, but maximum material removal rate. A full factorial design was followed to conduct the experimental trials, while ANOVA was utilized to estimate the effect of each factor on the process responses. A desirability function optimization tool was used to optimize the studied responses. The results reveal ...

This paper focuses on using Taguchi method to determine the optimum turning parameters such as spindle speed, depth of cut, and feed rate, denoted by factor symbols A, B, and C respectively. The effect of cutting parameters on tool wear is depended on the concept of removed weight from the tool metal during machining. The material that has been used as a workpiece is high carbon steel and carbide insert DNMG 443-15 as a cutting tool. Taguchi orthogonal array L 9 , quality characteristic "smaller is better", and ANOVA were used to achieve the goal of the research. The results obtained showed that spindle speed is the significant factor of the process followed by the feed rate in terms of their contribution in analysis. The optimum combination of parameters, which was found by applying Taguchi method, is that designated by A 2 B 1 C 1 .

The provided information includes essential grinding parameters alongside real-world grinding outcomes, material removal principles, and feasible strategies for performance improvement. The analysis of the presented Material Removal Rate (MRR) figures confirms previous conclusions, revealing that the most significant influence on MRR values is the depth of cut at 92.06%, followed by cutting speed at 4.65%, and feed rate at 0.94%, which has a relatively minor impact. The ideal combination of input control parameters is A2B3C1. Calculating the grey relational grade using equation (7) yields a value of 0.4413. The results of the confirmation experiment for the response parameters are displayed in Table 5.9. Notably, Grey Relational Analysis (GRA) substantially enhances the experimental values of cutting speed (VC) in rpm, depth of cut in mm, and feed rate in mm/rev. The optimum material removal rate is 2.816 Gm./Min, achieved at (a) Cutting Speed in rpm (VC) A2 1900 rpm, (b) B3 0.06 mm cut depth, and (c) C1 0.04 mm/rev feed rate. The mixed desirability, represented by C1 D, is 0.93650. It's important to note that increasing the grinding contact width results in proportional increases in grinding forces and power. , Grey Relational Analysis (GRA)

This article presents an experimental investigation and statistical analysis of the effects of cutting conditions on the machining performance of AISI 1045 steel using a wiper-shaped insert. Experimental findings are used to compare the machining performance obtained using wiper inserts with those obtained using conventional round-nose inserts as recently reported in the literature. In addition, the effects of process conditions, namely cutting speed, feed rate, and depth of cut, are analyzed in order to obtain optimum conditions for both types of inserts. The goal is to achieve the optimal machining outcomes: minimum surface roughness, resultant cutting force, and cutting temperature, but maximum material removal rate. A full factorial design was followed to conduct the experimental trials, while ANOVA was utilized to estimate the effect of each factor on the process responses. A desirability function optimization tool was used to optimize the studied responses. The results reveal ...