scholarly journals OPTIMIZATION OF TURNING PROCESS PARAMETER FOR LATHE MACHINE BY USING TAGUCHI METHOD.

2021 ◽  
Vol 10 (4) ◽  
pp. 55-59
Keyword(s):  
Taguchi Method ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Machining Parameters ◽  
Turning Process ◽  
Dry Cutting ◽  
Taguchi Optimization ◽  
Taguchi Design Of Experiments ◽  
Lathe Machine ◽  
Coated Cemented Carbide

In this project attempts on optimizing the turning process under various machining parameters by Taguchi method to develop or implement the quality of machined product. Taguchi optimization methodology is applied to optimize cutting parameters in turning EN 8, steel with coated cemented carbide tool under dry cutting condition. The center lathe machine is used to conduct experiments based on the Taguchi design of experiments (DOE) with orthogonal L9 array. The orthogonal array, signal to noise ratio (S/N) and were employed to Experiments conducted and subsequently analysis performed by using the Taguchi method. The optimum characteristics for high hardness in turning operation are identified. From the response graph plotted between turning parameters and hardness of EN 8, it is observed that there is increase in hardness as the speed is increased at 850 rpm but when speed is further increased hardness goes decreased. The hardness increases when feed rate is changed from 0.2 mm/rev to 0.3 mm/rev and 0.3 to 0.4 mm/rev, but when depth of cut is 1 mm then hardness increases, but as the depth of cut is further increased then hardness decrease considerably.

Application of Taguchi Method Machining to CuA1

2015 ◽  
Vol 789-790 ◽  
pp. 111-115
Author(s):  
M.R. Ibrahim ◽  
Aznizam Abdullah ◽  
A.R. Ab Kadir ◽  
S. Sulaiman
Keyword(s):  
Taguchi Method ◽  
Cutting Speed ◽  
Optimization Method ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
End Mill ◽  
Taguchi Optimization ◽  
Taguchi Optimization Method ◽  
Taguchi Orthogonal Array ◽  
Experimental Cutting

This paper is to study the application of Taguchi Method when experimental cutting on Copper (CuA1) generated by a milling machine. The respone of this study is surface roughness while machining with varying machining parameters such as cutting speed, feed rate and depth of cut. This experiment is using end mill HSS Ø16mm with uncoated and 2 flute with sequences of experiment base on the Taguchi Orthogonal array L934which carry out with 9 of experiments. The signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) and confirmation tests with the optimal levels of machining parameters are carried out in order to illustrate the effectiveness of the Taguchi optimization method.

Study on Spindle Vibration and Surface Finish in Turning of Al 7075

2017 ◽  
Vol 261 ◽  
pp. 321-327 ◽  
Author(s):  
Abidin Şahinoğlu ◽  
Şener Karabulut ◽  
Abdulkadir Güllü
Keyword(s):  
Surface Roughness ◽  
Experimental Studies ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Dry Cutting ◽  
Al 7075 ◽  
Spindle Vibration ◽  
Coated Cemented Carbide

In this study, the relationship between the spindle vibration and surface roughness was investigated and the effect of the cutting parameters on surface roughness and spindle vibration during the machining of Aluminum alloy 7075 (Al 7075) were determined. Experimental studies have been carried out on a CNC turning machine using coated cemented carbide cutting tools under dry cutting environment. L64 full factorial design of experiments was used to investigate the optimal machining parameters for spindle vibration and surface roughness. The influences of machining parameters on vibration and surface roughness were evaluated by using analysis of variance (ANOVA) and main effect plots. The results revealed that the feed rate was the most effective cutting parameters on spindle vibration and surface roughness. The machine tool vibration amplitude and surface roughness values were significantly increased with increasing cutting feed. The depth of cut and cutting speed have the least effect on the spindle vibration and indicated an insignificant effect on surface roughness. Mathematical equations were developed to predict the vibration and surface roughness values using the regression analysis.

The Optimization in Machining AISI 1030 Using Taguchi Method for Dry and Flood Cutting Condition

2013 ◽  
Vol 315 ◽  
pp. 841-845
Author(s):  
Noor Hakim Rafai ◽  
Mohd Hilmi Othman ◽  
Sulaiman Hasan ◽  
Tharmaah Rao A/L Sinnasalam
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Feed Rate ◽  
Cutting Speed ◽  
Lower Surface ◽  
Quality Characteristic ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Cnc Milling ◽  
Dry Cutting

This research is an approach to investigate the effect of cutting condition on surface roughness in dry and flood cutting of AISI 1030. The objectives of this project are to compare the plastic injection mould quality between dry and flood cutting condition, as well as to determine the best cutting condition. The parameters used were depth of cut (0.25mm, 0.5mm, and 1.0mm), feed rate (50mm/rev, 100mm/rev and 150mm/rev) and cutting speed (700m/min, 1400m/min and 2100m/min). Surface roughness value was used to determine to quality characteristic of the machined mould. The experiments were done using Mazak CNC milling machine and the material selected was AISI 1030, which is a medium tensile and low hardenability carbon steel. Twenty-seven runs were done in both dry and flood cutting, adapting Taguchi Method - Orthogonal Array. After each machining, the surface roughness was measured using Mitutoyo Surface Roughness Tester. The data obtained was then analyzed through Signal to Noise Ratio calculation. This analysis produced the best combination of parameters which gives the lowest surface roughness. The best combinations for dry cutting are 2100m/min for cutting speed, 50mm/rev for feed rate and 0.25mmfor depth of cut. As for flood cutting, the best combinations are 2100m/min for cutting speed, 50mm/rev for feed rate and 1.0mm for depth of cut. The surface roughness obtained using this parameter in dry cutting is 0.27Ám and 0.40Ám in flood cutting. From the comparison, it is proved that dry cutting produced lower surface roughness compared to flood cutting.

Effect of Machining Parameters on Cutting Force when Turning Untreated and Sb-Treated Al-11%Si-1.8%Cu Alloys Using PVD Coated Tools

2012 ◽  
Vol 234 ◽  
pp. 74-77 ◽  
Author(s):  
Mohsen Marani Barzani ◽  
Mohd Yusof Noordin ◽  
Saaed Farahany ◽  
Ali Ourdjini
Keyword(s):  
Cutting Force ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Machining Parameters ◽  
Dry Cutting ◽  
Coated Tools ◽  
Cu Alloys ◽  
Cutting Speeds

One of the important aspects of machining is the measurement of the cutting forces acting on the tool. The information of forces is required for evaluation of power requirements, designing tool holder, machine tool elements and fixture. In this research, the effect of cutting condition on cutting force when turning untreated Al-11%Si-1.8%Cu and Sb-treated alloys was investigated. PVD TiN coated insert as cutting tool under oblique dry cutting process utilized. Experiments were conducted at three different cutting speeds of 70, 130 and 250 m/min with feed rates of 0.05, 0.1 and 0.15 mm/rev, whereas depth of cut was kept constant at 0.05 mm. The results revealed that turning of Sb-treated alloys requires higher cutting force in comparison to untreated alloy. The cutting force values increased about four times with increasing feed rate from 0.05 mm/rev to 0.15 mm/rev. Furthermore, the cutting force decreased with increasing cutting speed from 70 m/min to 250 m/min.

Effects of Process Parameters on Surface Roughness and MRR in the hard turning of EN 36 steel

2018 ◽  
pp. 102-110
Author(s):  
Amritpal Singh ◽  
Rakesh Kumar
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Hard Turning ◽  
Control Parameter ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Cutting Condition ◽  
Dry Cutting

In the present study, Experimental investigation of the effects of various cutting parameters on the response parameters in the hard turning of EN36 steel under the dry cutting condition is done. The input control parameters selected for the present work was the cutting speed, feed and depth of cut. The objective of the present work is to minimize the surface roughness to obtain better surface finish and maximization of material removal rate for better productivity. The design of experiments was done with the help of Taguchi L9 orthogonal array. Analysis of variance (ANOVA) was used to find out the significance of the input parameters on the response parameters. Percentage contribution for each control parameter was calculated using ANOVA with 95 % confidence value. From results, it was observed that feed is the most significant factor for surface roughness and the depth of cut is the most significant control parameter for Material removal rate.

Comparative Analysis between Conventional and Dry Turning

2017 ◽  
Vol 261 ◽  
pp. 267-274
Author(s):  
Pantelis N. Botsaris ◽  
Chaido Kyritsi ◽  
Dimitris Iliadis
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Cutting Tool ◽  
Spindle Motor ◽  
Air Cooling ◽  
Machining Parameters ◽  
Turning Process ◽  
Dry Cutting ◽  
Cold Air ◽  
Cooling And Lubrication

In this paper, there is an attempt to monitor and evaluate machining parameters when turning 34CrNiMo6 material under different cooling and lubrication conditions. The machining parameters concerned are temperature of the cutting tool and the workpiece, level of vibrations of the cutting tool, surface roughness of the workpiece, noise levels of the turning process and current drawn by the main spindle motor. Four different experimental machining scenarios were completed, specifically: conventional wet turning process, dry cutting and two additional modes employing cooling by cold air. Experimental data were acquired and recorded by an optimally designed network of sensors. Experimental data were statistically analyzed in order to reach conclusions. According to the research that has been done, although, overall, minimum cutting tool and workpiece temperatures were observed under wet machining, cold air cooling is capable of achieving comparable cooling results to wet machining. The lowest values of surface roughness were achieved by wet machining, whereas the lowest level of cutting tool vibrations were observed under cold air cooling.

Analysis of tool vibration and surface roughness during turning process of tempered steel samples using Taguchi method

2021 ◽  
pp. 095440892110019
Author(s):  
Menderes Kam ◽  
Mustafa Demirtaş
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Machining Parameters ◽  
Turning Process ◽  
Machining Time ◽  
Tool Vibration ◽  
Control Factors ◽  
Tempered Steel

This study analyzed the tool vibration (Vib) and surface roughness (Ra) during turning of AISI 4340 (34CrNiMo6) tempered steel samples using Taguchi Method. In this context, Taguchi design L18 (21 × 32) was used to analyze the experimental results. The vibration amplitude values from cutting tools were recorded for different machining parameters, control factors; two different sample hardness (46 and 53 HRc), three different cutting speeds (180, 220, 260 m.min−1), and feed rates (0.08, 0.14, 0.20 mm.rev−1) were selected. The machining parameters giving optimum Vib and Ra values were determined. Regression analysis is applied to predict values of Vib and Ra. Analysis of variance was used to determine the effects of machining parameters on the Vib and Ra values. The most important machining parameters were found to be the feed rate, sample hardness, and cutting speed for Vib and Ra, respectively. The lowest Vib and Ra values were obtained in 46 HRc sample as 0.0022 gRMS and 0.255 µm, respectively. The surface quality can be improved by reducing the sources of vibration by using appropriate machining parameters. As a result, there is a significant relationship between Ra and Vib. The lower Ra values were found during turning process of tempered steel samples according to the literature studies. It is suggested that the process can be preferred as an alternative process to grinding process due to lower cost and machining time. In application of the turning of experiment samples by ceramic cutting tool, a substantial technological and economical benefit has been observed.

Micro Textured Cutting Inserts with Solid Lubrication as Alternative Coolant to Mineral Oil-Based Cutting Fluid in Turning Operation

2021 ◽  
Vol 13 (4) ◽  
Author(s):  
C. Divya ◽  
L. Suvarna Raju ◽  
B. Singaravel
Keyword(s):  
Process Parameters ◽  
Orthogonal Array ◽  
Inconel 718 ◽  
Cutting Speed ◽  
Solid Lubricants ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Turning Process ◽  
Optimization Of Process Parameters ◽  
Cutting Inserts

Turning process is a primary process in engineering industries and optimization of process parameters enhance the machining performance. Inconel 718 is a nickel-based superalloy, widely found applications in the manufacturing of blades, sheets and discs in aircraft engines and rocket engines. It provides toughness at low temperature, with stand high mechanical stresses at elevated temperature and creep resistance. In this work, turning process is carried out on Inconel 718 with micro whole textured cutting inserts filled with solid lubricants. Three different solid lubricants are used namely molybdenum-di-sulfide (MoS2), tungsten-di-sulfide (WS2) and calcium-di-fluoride (CaF2). Experiments are performed as per L9 orthogonal array. Statistical approaches such as orthogonal array, Signal-to-Noise (S/N) ratio and Analysis of Variance (ANOVA) are used to find the importance and effects of machining parameters. In this study, input parameters included are feed, cutting speed and depth of cut and output parameter includes surface roughness. Optimization of process parameters is carried out and the significance is estimated. The result suggested that WS2 followed by MoS2 and CaF2 given good surface finish value. Also, solid lubricant in machining enhances the sustainability in manufacturing.

scholarly journals Determination of the Optimal Parameters in Brass Turning Process by Taguchi method

2021 ◽  
Vol 9 (7) ◽  
pp. 929-936
Keyword(s):  
Taguchi Method ◽  
Feed Rate ◽  
Material Removal ◽  
Depth Of Cut ◽  
Optimal Parameters ◽  
Turning Process ◽  
Control Factors ◽  
Variable Control

This research is a study of the turning process by testing with brass material. There are three control factors: spindle of speed, feed rate, and depth of cut respectively. The turning process requires variable control,affect the quality of production productivity and production costplanning an experiment with the Taguchi Method help in theexperiment the analysis of variance, orthogonal array, and signal and noise ratios were considered as an experiment and survey of brass turning characteristics to determine the lowest material removal rate.The results obtained from the experiment were used to repeat the experiment for confirmation. This requires the turning process to be reliable and optimized

Optimization of MRR and Surface Roughness of AlMg3 (AA5754) Alloy in CNC Lathe Machine by Using Taguchi Method

2018 ◽  
Vol 877 ◽  
pp. 110-117 ◽  
Author(s):  
Poornesh Kumar Chaturvedi ◽  
Harendra Kumar Narang ◽  
Atul Kumar Sahu
Keyword(s):  
Surface Roughness ◽  
Taguchi Method ◽  
Metal Removal ◽  
Removal Rate ◽  
Surface Condition ◽  
Point Of View ◽  
Depth Of Cut ◽  
Metal Removal Rate ◽  
Cnc Lathe ◽  
Lathe Machine

Quality of the product is the major concern in manufacturing industries from customers as well as producers point of view. There are number of factors in the product such as surface condition, height, weight, length, width etc., which may be consider for the measurement of the quality. Surface roughness and Metal Removal Rate (MRR) are the two main outcomes on which numerous researchers have applied different approaches for several years to get optimum results. In this study, Taguchi Method is applied for getting optimum parameters settings for Surface roughness and Metal Removal Rate (MRR) in case of turning AlMg3 (AA5754) in CNC Lathe machine, which is an aluminum alloy having diameter 20 mm and length 100 mm. The three parameters i.e. spindle speed, feed rate and depth of cut with 3 levels are taken as the process variables and the working ranges of these parameters for conducting experiments are selected based on Taguchi’s L9 Orthogonal Array (OA) design. To analyze the significant process parameters; main effect plots for data means and for S/N ratio are generated using Minitab statistical software.

Sign in / Sign up

Export Citation Format

Share Document