IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
Evaluation The Effect of Machining Parameters for MRR using Turning of Aluminium 6063 Sudhir1 Karun2 Neeraj Kumar3 1 Lecturer 2,3Assistant Professor 1,2,3 Department of Mechanical Engineering 1 Peti, India 2,3Grimt, India Abstract— Turning is a basic operation for various industries & it is very essential to optimize the various parameters affecting turning for the optimum condition. Turning operation is affected by both machining parameters & Cutting fluids. The parameter influence most are cutting speed, depth of cut , feed, geometry of cutting tool like principle cutting edge angle ,rake angle, nose radius etc. In order to control MRR it is very necessary to control these parameters. In the project turning operation the different values of cutting parameters, cutting speed (45, 90,140,330), feed rate (.1, 22, 44, 68 mm/rev), depth of cut (.5, 1, 1.5,2 mm) are selected. MRR is largely influenced by Speed then Feed then DOC. MRR shows an increasing trend with increasing Speed. MRR shows an increasing trend with increasing Feed. MRR shows an increasing trend with increasing DOC. Key words: Taguchi Design, Orthogonal Array, Turning, cutting speed, feed. I. INTRODUCTION The first lathe machine that was developed was the twoperson lathe machine which was designed by the Egypt in about 1300 BC. Primarily, there are two things that are achieved in this lathe machine tool. The first is the turning of the wood working piece manually by a rope; and the second is the cutting of shapes in the wood by the use of a sharp cutting tool., there have been constant modifications and improvements over the two-person lathe machine, most importantly on the production of the rotary motion. P. Abinesh, Dr. K. Varatharajan, Dr. G. Satheesh Kumar (1) concluded that MRR increases with increasing in the pulse time, pulse off-time, peak current momentum. By adjusting the input parameters as A2, B1, C1, D2, E2, can achieve the nominal output response (ie, Max MRR and Min EWR) .And selecting A2, B2, C2, D1, E1, as input parameters, we can achieve maximum MRR. Surface roughness decreases with increasing time and may increase with increasing pulse peak time. Arjun Singh Rupinder Biloria (2) concluded that the discharge has a greater effect on the MRR tension followed. Wire tension had any influence on MRR. The optional condition of process parameters for optimal roughness is voltage (150), the discharge current (25), and the cable tension (1150). Rishu Diwedi Ashutosh Gupta (3) concluded that the analysis of experimental observations noted that MRR in CNC turning is strongly affected by the depth of cut, followed by the speed. It is noted that the power is mostly influence the Ra followed by nose radius. For optimization of surface roughness and the material removal rate depth of cut is the most important parameter that affects followed by the nose radius. Dhruv H. Gajjar and PROF. Jayesh V. (4) Desai concluded that Pulse rise time generates more spark energy as the amount of time that increases in electricity supply. MRR, cutting width and SR
pulse increases with time. Pulse time is the most significant parameter. The surface roughness increases with increasing pulse. Time pulse has an opposite effect on the time.MRR pulse decrease with increasing in the pulse time, while reducing the roughness. The surface roughness is reduced by increasing the value of servo voltage. Rajmohan T. et al. (5) They have studied the optimization of machining parameters of electrical discharge machining 304 stainless steel & experienced the effect of parameters such as pulse time, pulse time, voltage and current rate material removal was studied in 304 stainless steel. it was concluded that different combinations of the EDM process parameters required to achieve greater MRR. Vishal Parashar et al. (6). From the experimental results, the surface roughness was determined for each machining performance criterion. Noise signal was applied to measure the performance characteristics that deviate from true value A.Rehman et al. (7) The variation in kerf width with machining parameters is mathematically modeled using the regression analysis method. Sivakiran S. et al.(8) The relationship between the control parameters and output parameters (RRM) is performed by means of linear regression. L16 Taguchi (4 * 4) Orthogonal Array (OA) designs have been used in the EN-31 tool steel for maximum metal removal rate. II. MATERIAL USED Aluminium Alloy (Aluminium 6063). AA 6063 is Aluminium Alloy , with Magnisium and silicon as the alloying elements. The standard controlling its composition is maintained by THE ALUMINIUM ASSOCIATION. It has generally good mechanical properties and is heat treatable and weldable. It is similar to the British aluminium alloy HE9. 6063 is mostly used in extruded shapes for architecture, particularly window frames, door frames, roofs, and sign frames. It is typically produced with very smooth surfaces fit for anodizing. III. CALCULATION OF MRR EXPERIMENT NO. 1 2 3 4 5 6 7 8 9 10 11 12
RPM 45 45 45 45 90 90 90 90 140 140 140 140
FEED (mm/rev.) 0.1 0.22 0.44 0.68 0.1 0.22 0.44 0.68 0.1 0.22 0.44 0.68
DEPTH OF CUT (mm) 0.5 1 1.5 2 1 0.5 2 1.5 1.5 2 0.5 1
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