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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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1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
1 Dept. of Production Engg., PSG College of Technology, Coimbatore, IN
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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 :166 |
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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
Source
Manufacturing Technology Today, Vol 9, No 3 (2010), Pagination: 13-19Abstract
In this paper, a neural network modeling approach is presented for the prediction of weld bead width in Nd:YAG Laser welding process. The data used for the training and checking of the Artificial Neural Networks’ performance are derived from experiments conducted according to the principles of design of experiments (DoE) method. The influential factors considered in the experiments are the laser beam power, the laser beam angle, and the welding speed. Using feed forward back propagation artificial neural networks (ANN) with supervised training a 3_5_1 neural network is developed and is able to predict the laser bead width and tends to be consistent throughout the entire range of values. The experimentally determined weld bead width values are compared with predicted values obtained from regression and ANN model.Keywords
ANN, Regression Model, Design of Experiments (DOE), Nd:Yag Laser.- Numerical Study on Stress Distribution in Ultrasonically Welded Electrical Contacts used in Automotives
Abstract Views :190 |
PDF Views:99
Authors
Affiliations
1 Dept. of Production Engg., P.S.G. College of Tech., Coimbatore, IN
1 Dept. of Production Engg., P.S.G. College of Tech., Coimbatore, IN
Source
International Journal of Vehicle Structures and Systems, Vol 10, No 4 (2018), Pagination: 287-290Abstract
Numerical stress analysis while joining an electrical contact comprising of copper wire and copper sheet using ultrasonic metal welding process is vital in many of the automotive applications. During ultrasonic metal welding, shear and normal force act at the interface between the welded specimens. These forces are the result of ultrasonic vibrations transmitted by Sonotrode onto the welded specimens. In this work, the distribution of the stress developed at the interface and the correlation of the developed stress with strength of joint are studied. The theoretical stress values are determined using various levels of ultrasonic metal welding process parameters such as clamping force, vibration amplitude and weld time to validate the results of stress obtained from finite element analysis. The results of stress from numerical analysis are found to be in good agreement with that of results obtained from the theoretical calculations.Keywords
Ultrasonic Metal Welding, Finite Element Method, Stress Distribution, Vibration, Plastic Deformation.Full Text
References
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