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Pradeep Kumar, J.
- Experimental Investigation and Analysis of Process Robustness in Electric Discharge Machining of Titanium Alloy (TI-6AL-4V)
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Authors
Affiliations
1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
Source
Manufacturing Technology Today, Vol 11, No 9 (2012), Pagination: 11-19Abstract
The aim of this work is to investigate the influence of process parameters and determine the optimum process parameters in electric discharge machining (EDM) of titanium alloy (Ti-6AI-4V). The parameters considered are peak current, pulse-on-time and pulse-off-time where as the responses are Material Removal Rate (MRR) and Surface Roughness(SR). MITSUBISHI EA8 spark erosion machine is employed for this study and copper tungsten electrode of ∅14 mm is used in experimental trials. The experimental trials are conducted based on Taguchi L27 orthogonal array with three levels of each machining parameters. The signal-to-noise ratio, the analysis of variance (ANOVA), and regression analysis are employed to find the optimal levels and to analyze the effects of machining parameters on Metal removal rate and Surface roughness. Confirmation tests with the optimal levels of machining parameters are carried out in order to illustrate the effectiveness of Taguchi optimization method. The validity of Taguchi's approach to process optimization is well established.Keywords
EDM, Ti-6AI-4V Alloy, Taguchi Method.- Investigation of Cutting Parameters Effects on Surface Roughness in Turning EN353 Using Taguchi Method
Abstract Views :163 |
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Authors
Affiliations
1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
Source
Manufacturing Technology Today, Vol 9, No 9-10 (2010), Pagination: 23-28Abstract
In this, the Taguchi method is used to find the optimal cutting parameters for surface roughness in turning. An orthogonal array, the signal to noise ratio and analysis of variance are employed to study the performance characteristics in turning operations of EN353 steel bars using tungsten carbide cutting tools. Through this study, not only can the optimal cutting parameters for turning operations can be obtained, but also the main cutting parameters that affect the cutting performance in turning operations can be found. Experimental results are provided to confirm the effectiveness of this approach.Keywords
Taguchi Method, Turning, Surface Roughness, EN353.- A Design of Experimental Approach to Determine the Effect of Process Parameters on Depth of Penetration in Laser Beam Welding
Abstract Views :190 |
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Authors
Affiliations
1 School of Mechanical Engg., SASTRA University, Thanjavur, IN
2 Dept. of Mechanical Engg., Mepco Engg College, Sivakasi, IN
3 WRI, Tiruchirrapalli, IN
1 School of Mechanical Engg., SASTRA University, Thanjavur, IN
2 Dept. of Mechanical Engg., Mepco Engg College, Sivakasi, IN
3 WRI, Tiruchirrapalli, IN
Source
Manufacturing Technology Today, Vol 7, No 6 (2008), Pagination: 19-23Abstract
Accurately complied statistics help to achieve process efficiency in manufacturing activities, which in turn results in modernized production methods. The laser welding which is one of the modern manufacturing tools has the output variables which are characterized with parameters like depth of penetration and bead width in addition to the qualitative metallurgical factors. Laser input parameters like beam power, beam angle and welding speed are observed to have an influence on the output parameter of depth of penetration. A solid state Nd:YAG laser system with 2 kW capacity at WRI is used for conducting the experimental study. The effect of input process parameters on the depth of penetration have been investigated using full factorial design of experiments, employing orthogonal array technique. The individual and interactive effect of input parameters on the depth of penetration is studied in detail for AISI 304 grade stainless steel. Using Analysis of Variance (ANNOVA), the significance of input, parameters is evaluated. The effect of input parameters on the depth of penetration is arrived at in the form of second degree polynomial equation using orthogonal contrast coefficients.- Prediction of Weld Bead Width Using Artificial Neural Network and Regression Models in Laser Beam Welding
Abstract Views :167 |
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Authors
Affiliations
1 Dept. of Prod. Engg., PSG College of Technology, Coimbatore, IN
2 WRI, BHEL, Tiruchirapalli, IN
1 Dept. of Prod. Engg., PSG College of Technology, Coimbatore, IN
2 WRI, BHEL, Tiruchirapalli, IN