Influence of Coating Material and Cutting Parameters on Surface Roughness and Material Removal Rate in Turning Process Using Taguchi Method

Chinnasamy, Moganapriya; Rathanasamy, Rajasekar; Ponappa, K.; Venkatesh, R.; Jerome, S.

doi:10.1016/j.matpr.2017.11.550

Cited by 36 publications

(15 citation statements)

References 8 publications

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“…The basic configuration which is obtained through application of basic scientific principles through system design. 12 The determination of specified process parameter values through parameter design. The best optimal tolerances of experimental process parameters can be defined through tolerance design.…”

Section: Geometrical Parameter Optimization Of Bolted Joints Taguchi Experiment: Design and Analysismentioning

confidence: 99%

Fracture analysis and geometrical parameter optimization of bolted composite joints

Moganapriya¹,

Vk²,

A³

et al. 2020

MSEIJ

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Optimal lap geometry was considered for the analysis of fracture behavior in bolted composite joints. The test specimen comprising of composite laminated upper plate, aluminums lower plate and a protruding headed bolt. 1 An unidirectional fibered composite layers was considered for easier theoretical analysis. Based on nonlinear stress analysis, the selection of varying orientation especially for plies were performed. The system taken for analysis is depicted in figure and their corresponding dimensions represented in Table 1. A input file was initially created through ANSYS code for the creation of 3D model as specified before for simulation purpose. 2 Meshing was done before analyzing the 3D model. The 8-noded SOLID46 3-D ANSYS element was considered for modeling of required 3D model which is constrained in all directions. Basic 2D sketch of 3D object is depicted in Figure 1. With the usage of SOLID45 3-D ANSYS element, the modelling of composite plate and bolt was done. The contact between the surfaces in the required model were established through 3-D CONTAC49 ANSYS element. The properties of composite material in various directions are tabulated in Table 2.

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Section: Geometrical Parameter Optimization Of Bolted Joints Taguchi Experiment: Design and Analysismentioning

confidence: 99%

Fracture analysis and geometrical parameter optimization of bolted composite joints

Moganapriya¹,

Vk²,

A³

et al. 2020

MSEIJ

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show abstract

“…Moganapriya et al [11], in their study; For the AISI 1015 soft steel; During the CNC turning, they investigated the effect of cutting parameters (coating material, depth of cut, feed rate and spindle speed) on the metal removal rate (MRR) and the effect of TiAlN / WC-C, TiAlN coated tools on surface roughness. To optimize the MRR and minimize surface roughness in the Jober XL CNC lathe, the Taguchi optimization method was used with the L9 vertical array.…”

Section: Introductionmentioning

confidence: 99%

Determination of Ceramic Cutting Tool Performance on Machining of Steel (PMD23) Produced by Powder

Çoban¹

2020

Academic Platform Journal of Engineering and Science

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This study aimed to determine optimum cutting parameters for recovering the best surface roughness during PMD 23 powder metal machining with ceramic sharp cutting tool at CNC turning center. Experiments for this aim were carried out on 27 samples in 80 mm diameter and 200 mm length prepared at turning center by application of cutting parameters determined with Taguchi method. Three different cutting speeds (200, 350, 500 m/min.), three different feed rates (0,1-0,2-0,3 mm/rev) and three different tool nose radius (0,4-0,8-1,2 mm) were used and depth of cut was applied stable as 0,8 mm in the experiments. Later, surface roughness of experiment sample and the roughness change was evaluated with respect to cutting speed, feed rate and tool nose radius. Variant analysis (ANOVA) were used to investigate characteristics of the processes. As a result of the experimental study, it was found out that feed rate and tool radius of cutting parameters had an effect on surface roughness, but the effect of cutting speed was not significant.

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“…Therefore, many studies have been done on surface roughness. [11][12][13] An important part of these studies has been to determine the most suitable cutting parameters. [14][15][16] Cutting conditions and parameters influence the deformation of the machined workpiece, its surface roughness accuracy, the formation of chip and the motor current.…”

Section: Introductionmentioning

confidence: 99%

Hard Turning of Hot Work Steel X38CRMOV5-3: Evaluation of Surface Roughness and Current Values Using Cutting Parameters

Çakır¹

2020

Preprint

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This study evaluates the surface roughness and current values using cutting parameters in the turning of AISI H11 being hot work tool steel under dry machining conditions. The selected design factors are the depth of cut, feed rate, cutting speed. A design of experiments was used to carry out this research. The obtained results were analyzed to determine the effects of input parameters on the resultant surface roughness, current using the analysis of variance (ANOVA) and the Response Surface Methodology (RSM). The experimental results showed that increasing feed rate increased the surface roughness, and current values. The most effective cutting parameter on all the output parameters was found to be the feed rate on the surface roughness. Also, the motor current values were influenced by the 38,48% depth of cut, 23,98% cutting speed, 25,52% feed rate, respectively.

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Influence of Coating Material and Cutting Parameters on Surface Roughness and Material Removal Rate in Turning Process Using Taguchi Method

Cited by 36 publications

References 8 publications

Fracture analysis and geometrical parameter optimization of bolted composite joints

Fracture analysis and geometrical parameter optimization of bolted composite joints

Determination of Ceramic Cutting Tool Performance on Machining of Steel (PMD23) Produced by Powder

Hard Turning of Hot Work Steel X38CRMOV5-3: Evaluation of Surface Roughness and Current Values Using Cutting Parameters

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