Grey-Based Taguchi Analysis for Optimization of Multi-Objective Machining Process in Turning

2013 ◽  
Vol 4 (2) ◽  
pp. 79-95 ◽  
Author(s):  
Nirmal S. Kalsi ◽  
Rakesh Sehgal ◽  
Vishal S. Sharma
Keyword(s):  
Feed Rate ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Removal Rate ◽  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Multi Objective ◽  
Analysis Technique ◽  
Grey Relation

In the present experimental study, Taguchi method and the GRA (grey relation analysis) technique were used to optimize a multi-objective metal cutting process to yield maximum performance of tungsten carbide-cobalt cutting tool inserts in turning. L18 orthogonal array was selected to analyze the effect of cutting speed, feed rate and depth of cut using cryogenically treated and untreated inserts. The performance was evaluated in terms of main cutting force, power consumption, tool wear and material removal rate using main effect plots of S/N (signal to noise) ratios. This study indicated that grey based Taguchi technique is not only a novel, efficient and reliable method of optimization, but also contributes to satisfactory solution for multi machining objectives in turning process. It is concluded that cryogenic treated cutting tool inserts performed better. However, the feed rate affected the process performance most significantly.

Grey-Based Taguchi Analysis Approach for Optimization of Multi-Objective Problem

2014 ◽  
pp. 219-239
Author(s):  
Nirmal S Kalsi ◽  
Rakesh Sehgal ◽  
Vishal S. Sharma
Keyword(s):  
Feed Rate ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Removal Rate ◽  
Cutting Speed ◽  
Optimization Techniques ◽  
Depth Of Cut ◽  
Multi Objective ◽  
Analysis Technique ◽  
Grey Relation

Due to the increase in complexity and expectations of more reliable solutions for a problem, the importance of multi-objective problem solutions is increasing day by day. It can play a significant role in making a decision. In the present approach, many combinations of the optimization techniques are proposed by the researchers. These hybrid evolutionary methods integrate positive characteristics of different methods and show the advantage to reach global optimization. In this chapter, Taguchi method and the GRA (Grey Relation Analysis) technique are pronounced and used to optimize a multi-objective metal cutting process to yield maximum performance of tungsten carbide-cobalt cutting tool inserts in turning. L18 orthogonal array is selected to analyze the effect of cutting speed, feed rate, and depth of cut using cryogenically treated and untreated inserts. The performance is evaluated in terms of main cutting force, power consumption, tool wear, and material removal rate using main effect plots of S/N (Signal to Noise) ratios. This chapter indicates that the grey-based Taguchi technique is not only a novel, efficient, and reliable method of optimization, but also contributes to satisfactory solution for multi-machining objectives in the turning process. It is concluded that cryogenically treated cutting tool inserts perform better. However, the feed rate affects the process performance most significantly.

Comparison of Process Parameters on Mild Steel and SS304 Through Statistical Analysis of Optimization Technique

2020 ◽  
Vol 12 (7) ◽  
pp. 888-893
Author(s):  
Vinit Kumar ◽  
Mazhar Hussain ◽  
Rajnish Singh ◽  
Shashank Kumar
Keyword(s):  
Stainless Steel ◽  
Mild Steel ◽  
Process Parameters ◽  
Feed Rate ◽  
Cutting Tool ◽  
Metal Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Stainless Steel 304

The present study concentrated on the variation of process parameters on metal removal rate (MRR) used in turning of widely used material (stainless steel 304 and Mild steel). Turning is essential and robust process of material removal in the form of chips. The Turning process involved lots of process parameters as tool geometry, feed rate, rotational speed of job and rigidity of machine tools etc. In the present work study was done on the following cutting parameters as cutting speed (85,150 and 250 rpm), feed rate (0.13, 0.28 and 0.15, 0.09 mm/sec), depth of cut (0.4, 0.7 and 1 mm). The three label orthogonal array for process parameters were selected for metal removal rate analysis. The carbide tipped cutting tool was selected as cutting tool of positive rake angle. The analysis of process parameters was done through Minitab 17 software. The orthogonal array was selected 3*3; by the use of signal to noise (S/N) ratio is to minimise the variation due to uncontrolled parameters with the help of Taguchi method. Total nine experiments were performing on stainless steel and other set of nine experiments were perform on the mild steel. The experimental results reveals that moderate cutting speed 150 rpm, 0.09 mm/sec feed rate and 1 mm depth of cut yield good results for stainless steel 304 grade and mild steel.

Multi-Objective Optimization using Grey Relational Taguchi Analysis in Machining

2016 ◽  
Vol 6 (4) ◽  
pp. 45-64 ◽  
Author(s):  
Nirmal S. Kalsi ◽  
Rakesh Sehgal ◽  
Vishal S. Sharma
Keyword(s):  
Metal Cutting ◽  
Removal Rate ◽  
Cutting Tools ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Recent Approach ◽  
Grey Relational

Multi-objective optimization is becoming important day by day due to increase in complexity of the processes and expectations of more reliable solutions. In view of the complexity of the process, controlling the machining parameters without compromising on the response parameters is a tedious process. In the recent approach, researchers have used many combinations of available techniques to solve multi performance characteristic problems depending upon the situation and accuracy desired in the results, to make the results more reliable. In this paper, the authors have pronounced and used a combination of grey relational and Taguchi based analysis to optimize a multi-objective metal cutting process to yield maximum performance of cutting tools in turning. Main cutting force, power consumption, tool wear and material removal rate were evaluated used L18 orthogonal array considering cutting speed, feed rate and depth of cut, using cryogenically treated and untreated tungsten carbide cutting tool inserts.

scholarly journals Surface Roughness Values of Magnesium Alloy AZ31 When Turning by Using Rotary Cutting Tool

INSIST ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 54
Author(s):  
Gusri Akhyar ◽  
Suryadiwansa Harun ◽  
Arinal Hamni
Keyword(s):  
Surface Roughness ◽  
Magnesium Alloy ◽  
Feed Rate ◽  
Cutting Tool ◽  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Work Piece ◽  
Machined Surface ◽  
Rotary Cutting

Abstract - Magnesium and magnesium alloys is one of materials that worldwide used on automotive components due to very good  strength to weight ratio, resistant to corrosion, lighter compare to steel materials. Other than that magnesium has an advantage in easy to form and good machinability.  Nevertheless, magnesium known as metal which is easy to burned because of magnesium has low melting point. To maintain magnesium from burning quickly when proses machining, it needs to use coolant or lubricant to reduce temperature. Using of coolant when machining process can reduce temperature on cutting tool and work piece material, while using of lubricant can reduce friction between the cutting tool and work piece mateial. However, using of coolant and lubricant can harm for the environment and also coolant difficult to destroyed. Therefore, an alternative method to reduce the temperature when machining of magnesium alloy is using  the rotary cutting tool system. In the rotary cutting tool system, the cutting tool has a time to experience cooling in the period time. Other than aspect of temperature, surface roughness values are representative of surface of quality of produced componens. In this research, surface roughness value of magnesium alloy of AZ31 observed in ranges of work piece cutting speed of  (Vw) 25, 50, 120, 160, 200 m/min, rotary cutting speed of (Vt) 25, 50, 75 m/min, feed rate of (f) 0,05  and 0,10 mm/rev, and depth of cut of 0.2 mm. The turning process was done by using two kinds of diameter of rotary cutting tools are 16 and 20 mm, and without applying of coolant. The results of the research showed that the minimum surface roughness value of machined surface was 0,62𝝻m by using insert with diameter of 16 mm, while the maximum surface roughness value of machined surface was 2,86 𝝻m by using insert with diameter of 20 mm. This result stated that the increase in the diameter of rotary cutting tool gives a significant effect on the produced surface roughness value. Factor of feed rate also gives a significant contribution on the surface roughness value of machined magnesium surface.  The increase in feed rate generated significantly surface roughness value as long as the trials experiments. The produced surface roughness values inversely proportional to the cutting speed of rotary cutting tool.Keywords - magnesium, rotary tool, surface roughness, turning. 

Performance Analysis of Trihexyltetradecylphosphonium Chloride Ionic Fluid under MQL Condition in Hard turning

2020 ◽  
Vol 17 (1) ◽  
pp. 7629-7647
Author(s):  
A. Pandey ◽  
R. Kumar ◽  
A. K. Sahoo ◽  
A. Paul ◽  
A. Panda
Keyword(s):  
Material Removal Rate ◽  
Feed Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Cutting Speed ◽  
Coconut Oil ◽  
Chip Morphology ◽  
Weight Fraction ◽  
Cutting Fluid ◽  
Depth Of Cut

The current research presents an overall performance-based analysis of Trihexyltetradecylphosphonium Chloride [[CH3(CH2)5]P(Cl)(CH2)13CH3] ionic fluid mixed with organic coconut oil (OCO) during turning of hardened D2 steel. The application of cutting fluid on the cutting interface was performed through Minimum Quantity Lubrication (MQL) approach keeping an eye on the detrimental consequences of conventional flood cooling. PVD coated (TiN/TiCN/TiN) cermet tool was employed in the current experimental work. Taguchi’s L9 orthogonal array and TOPSIS are executed to analysis the influences, significance and optimum parameter settings for predefined process parameters. The prime objective of the current work is to analyze the influence of OCO based Trihexyltetradecylphosphonium Chloride ionic fluid on flank wear, surface roughness, material removal rate, and chip morphology. Better quality of finish (Ra = 0.2 to 1.82 µm) was found with 1% weight fraction but it is not sufficient to control the wear growth. Abrasion, chipping, groove wear, and catastrophic tool tip breakage are recognized as foremost tool failure mechanisms. The significance of responses have been studied with the help of probability plots, main effect plots, contour plots, and surface plots and the correlation between the input and output parameters have been analyzed using regression model. Feed rate and depth of cut are equally influenced (48.98%) the surface finish while cutting speed attributed the strongest influence (90.1%). The material removal rate is strongly prejudiced by cutting speed (69.39 %) followed by feed rate (28.94%) whereas chip reduction coefficient is strongly influenced through the depth of cut (63.4%) succeeded by feed (28.8%). TOPSIS significantly optimized the responses with 67.1 % gain in closeness coefficient.

Characterisation, Performance and Optimisation of Nanocellulose Metalworking Fluid (MWF) for Green Machining Process

2021 ◽  
Vol 18 (4) ◽  
pp. 9188-9207
Author(s):  
Mahendran Samykano ◽  
J. Kananathan ◽  
K. Kadirgama ◽  
A. K. Amirruddin ◽  
D. Ramasamy ◽  
...  
Keyword(s):  
Thermal Conductivity ◽  
Surface Roughness ◽  
Tool Wear ◽  
Feed Rate ◽  
Cutting Speed ◽  
Machining Process ◽  
Alumina Nanoparticles ◽  
Working Fluid ◽  
Depth Of Cut ◽  
Nanoparticle Concentration

The present research attempts to develop a hybrid coolant by mixing alumina nanoparticles with cellulose nanocrystal (CNC) into ethylene glycol-water (60:40) and investigate the viability of formulated hybrid nanocoolant (CNC-Al2O3-EG-Water) towards enhancing the machining behavior. The two-step method has been adapted to develop the hybrid nanocoolant at various volume concentrations (0.1, 0.5, and 0.9%). Results indicated a significant enhancement in thermal properties and tribological behaviour of the developed hybrid coolant. The thermal conductivity improved by 20-25% compared to the metal working fluid (MWF) with thermal conductivity of 0.55 W/m℃. Besides, a reduction in wear and friction coefficient was observed with the escalation in the nanoparticle concentration. The machining performance of the developed hybrid coolant was evaluated using Minimum Quantity Lubrication (MQL) in the turning of mild steel. A regression model was developed to assess the deviations in the tool flank wear and surface roughness in terms of feed, cutting speed, depth of the cut, and nanoparticle concentration using Response Surface Methodology (RSM). The mathematical modeling shows that cutting speed has the most significant impact on surface roughness and tool wear, followed by feed rate. The depth of cut does not affect surface roughness or tool wear. Surface roughness achieved 24% reduction, 39% enhancement in tool length of cut, and 33.33% improvement in tool life span. From this, the surface roughness was primarily affected by spindle cutting speed, feed rate, and then cutting depth while utilising either conventional water or composite nanofluid as a coolant. The developed hybrid coolant manifestly improved the machining behaviour.

Modelling and Optimization of End Milling Process Using TLBO and TOPSIS Algorithm

2017 ◽  
pp. 54-81 ◽  
Author(s):  
Atul Tiwari ◽  
Mohan Kumar Pradhan
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Metal Cutting ◽  
End Milling ◽  
Removal Rate ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Depth Of Cut ◽  
Multi Objective ◽  
Order Preference

To assure desire quality of machined products at minimum machining costs and maximum material removal rate, it is very important to select optimum parameters when metal cutting machine tool are used. Minimum Surface Roughness (Ra) is commonly desirable for the component; however Material Removal Rate (MRR) should be maximized. This chapter presents an approach for determination of the best cutting parameters precede to minimum Ra and maximum MRR simultaneously by integrating Response Surface Methodology with Multi-Objective Technique for Order Preference by Similarity to Ideal Solution and Teaching and learning based optimization algorithm in face milling of Al-6061 alloy. 30 experiments have been conducted based on RSM with 4 parameters, namely Speed, Feed, Depth of Cut and Coolant Speed and three levels each. ANOVA is performed to find the most influential input parameters for both MRR and Ra. Later the multi-objective attribution selection method TOPSIS and multi objective optimization method TLBO is used to optimize the responses.

scholarly journals Investigations on Surface Roughness and Tool Wear Characteristics in Micro-Turning of Ti-6Al-4V Alloy

Materials ◽  
2020 ◽  
Vol 13 (13) ◽  
pp. 2998 ◽  
Author(s):  
Kubilay Aslantas ◽  
Mohd Danish ◽  
Ahmet Hasçelik ◽  
Mozammel Mia ◽  
Munish Gupta ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Removal Rate ◽  
Cutting Speed ◽  
Small Diameter ◽  
Cutting Parameters ◽  
Ti6al4v Alloy ◽  
Depth Of Cut ◽  
Turning Process ◽  
Micro Turning

Micro-turning is a micro-mechanical cutting method used to produce small diameter cylindrical parts. Since the diameter of the part is usually small, it may be a little difficult to improve the surface quality by a second operation, such as grinding. Therefore, it is important to obtain the good surface finish in micro turning process using the ideal cutting parameters. Here, the multi-objective optimization of micro-turning process parameters such as cutting speed, feed rate and depth of cut were performed by response surface method (RSM). Two important machining indices, such as surface roughness and material removal rate, were simultaneously optimized in the micro-turning of a Ti6Al4V alloy. Further, the scanning electron microscope (SEM) analysis was done on the cutting tools. The overall results depict that the feed rate is the prominent factor that significantly affects the responses in micro-turning operation. Moreover, the SEM results confirmed that abrasion and crater wear mechanism were observed during the micro-turning of a Ti6Al4V alloy.

scholarly journals Optimization of machining parameters in face milling using multi-objective Taguchi technique

2018 ◽  
Vol 12 (2) ◽  
pp. 104-108 ◽  
Author(s):  
Yusuf Fedai ◽  
Hediye Kirli Akin
Keyword(s):  
Surface Roughness ◽  
Feed Rate ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Taguchi Technique ◽  
Average Roughness ◽  
Multi Objective ◽  
Control Factors ◽  
Average Maximum

In this research, the effect of machining parameters on the various surface roughness characteristics (arithmetic average roughness (Ra), root mean square average roughness (Rq) and average maximum height of the profile (Rz)) in the milling of AISI 4140 steel were experimentally investigated. Depth of cut, feed rate, cutting speed and the number of insert were considered as control factors; Ra, Rz and Rq were considered as response factors. Experiments were designed considering Taguchi L9 orthogonal array. Multi signal-to-noise ratio was calculated for the response variables simultaneously. Analysis of variance was conducted to detect the significance of control factors on responses. Moreover, the percent contributions of the control factors on the surface roughness were obtained to be the number of insert (71.89 %), feed (19.74 %), cutting speed (5.08%) and depth of cut (3.29 %). Minimum surface roughness values for Ra, Rz and Rq were obtained at 325 m/min cutting speed, 0.08 mm/rev feed rate, 1 number of insert and 1 mm depth of cut by using multi-objective Taguchi technique.

Tool-Workpiece Temperature for Continuous and Interrupted Cutting of ASSAB 760 Steel with Dry Machining Process

2012 ◽  
Vol 476-478 ◽  
pp. 392-396
Author(s):  
M. Azuddin
Keyword(s):  
Feed Rate ◽  
Thermal Imaging ◽  
Temperature Increase ◽  
Cutting Speed ◽  
Machining Process ◽  
Depth Of Cut ◽  
Workpiece Temperature ◽  
Speed Increase ◽  
Interrupted Cutting ◽  
Imaging Camera

Temperature generated on the tool-workpiece has significant effect on the cutting performance. This paper present the tool-workpiece temperature result recorded by thermal imaging camera with various cutting parameter applied. The machining was done on ASSAB 720 steel workpiece for continuous and interrupted cutting. Generally, as the cutting speed, feed rate and depth of cut increases, the tool-workpiece temperature for both continuous and interrupted cutting will increase. Specifically, cutting speed increase from 250m/min to 350 m/min, tool-workpiece temperature increase about 25% at each increment level. The tool-workpiece temperature increase about 16% when the feed rate increases from 0.1 mm/rev to 0.2mm/rev. While, 27% increment was recorded when feed rate increase to 0.4 mm/rev. With the increase of depth of cut, the tool-workpiece temperature recorded an increment between 50oC to 65oC for both continuous and interrupted cutting.

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