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Application of Hooke & Jeeves method to optimize Ultimate Tensile Strength of Pulsed Current Micro Plasma Arc Welded Inconel625 Nickel Alloy Kondapalli Siva Prasad a* Department of Mechanical Engineering, Anil Neerukonda Institute of Technology & Sciences, Sangivalasa, Bheemunipatnam Mandal Visakhapatnam District, 531 162, Andhra Pradesh, INDIA Email:[email protected] Chalamalasetti Srinivasa Rao b Department of Mechanical Engineering, Andhra University, Visakhapatnam, India Damera Nageswara Rao c Centurion University of Technology & Management, Odisha, India A B S T R A C T K E Y W O R D S A R T I C L E I N F O Pulsed Current Micro Plasma Arc Welding, Inconel 625, Ultimate Tensile Strength, Design of Experiments, Hooke and Jeeves method. Received 22 January 2012 Accepted 06 March 2012 Available online 01 June 2012 The paper focuses on developing mathematical model to predict Ultimate Tensile Strength of pulsed current micro plasma arc welded Inconel 625 nickel alloy. Four factors, five level, central composite rotatable design matrix is used to optimize the number of experiments. The mathematical model has been developed by Response Surface Method (RSM) and its adequacy is checked by Analysis of Variance technique (ANOVA). By using the developed mathematical model, Ultimate Tensile Strength of the weld joints can be predicted with 99% confidence level. The results indicate that peak current has the greatest influence on Ultimate Tensile Strength followed by pulse, back current and pulse width. The developed mathematical model has been optimized using Hooke and Jeeves Method to maximize the Ultimate Tensile Strength of pulsed current micro plasma arc welded Inconel 625 alloy.pulsed current micro plasma arc welded Inconel 625 alloy. ________________________________ * Corresponding Author _______________________________________________ 1. Introduction and literature survey Fusion welding generally involves joining of metals by application of heat for melting of metals to be joined. Almost all the conventional arc welding processes offer high heat input, which in turn leads to various problems such as burn through or melt through, distortion, porosity, buckling warping & twisting of welded sheets, grain coarsening , evaporation of useful elements present in coating of the sheets, joint gap variation during welding, fume generation form coated sheets etc (Balasubramanian.M et.al,2010). Micro Plasma arc Welding (MPAW) is a good process for joining thin sheet, but it suffers high equipment cost compared to Gas Tungsten Arc Welding (GTAW). However it is more economical when compare with Laser Beam welding and Electron Beam Welding processes.

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International Journal of Lean Thinking Volume 3, Issue 1 (June 2012)

Lean Thinkingjournal homepage: www.thinkinglean.com/ijlt

Application of Hooke & Jeeves method to optimize Ultimate Tensile Strength of Pulsed Current Micro Plasma Arc Welded Inconel625 Nickel

Alloy

Kondapalli Siva Prasad a*

Department of Mechanical Engineering, Anil Neerukonda Institute of Technology &

Sciences, Sangivalasa, Bheemunipatnam Mandal Visakhapatnam District, 531 162,

Andhra Pradesh, INDIA Email:[email protected]

Chalamalasetti Srinivasa

Raob Department of Mechanical Engineering,

Andhra University, Visakhapatnam, India

Damera Nageswara Raoc

Centurion University of Technology &

Management, Odisha, India

A B S T R A C T

K E Y W O R D S

A R T I C L E I N F O

Pulsed Current Micro Plasma Arc

Welding, Inconel 625, Ultimate

Tensile Strength, Design of

Experiments, Hooke and Jeeves

method.

Received 22 January 2012

Accepted 06 March 2012

Available online 01 June 2012

The paper focuses on developing mathematical model to

predict Ultimate Tensile Strength of pulsed current micro plasma

arc welded Inconel 625 nickel alloy. Four factors, five level, central

composite rotatable design matrix is used to optimize the number

of experiments. The mathematical model has been developed by

Response Surface Method (RSM) and its adequacy is checked by

Analysis of Variance technique (ANOVA). By using the developed

mathematical model, Ultimate Tensile Strength of the weld joints

can be predicted with 99% confidence level. The results indicate

that peak current has the greatest influence on Ultimate Tensile

Strength followed by pulse, back current and pulse width. The

developed mathematical model has been optimized using Hooke

and Jeeves Method to maximize the Ultimate Tensile Strength of

pulsed current micro plasma arc welded Inconel 625 alloy.pulsed

current micro plasma arc welded Inconel 625 alloy.

________________________________

* Corresponding Author

_______________________________________________

1. Introduction and literature survey

Fusion welding generally involves joining of metals by application of heat for melting of

metals to be joined. Almost all the conventional arc welding processes offer high heat input,

which in turn leads to various problems such as burn through or melt through, distortion,

porosity, buckling warping & twisting of welded sheets, grain coarsening , evaporation of

useful elements present in coating of the sheets, joint gap variation during welding, fume

generation form coated sheets etc (Balasubramanian.M et.al,2010). Micro Plasma arc

Welding (MPAW) is a good process for joining thin sheet, but it suffers high equipment

cost compared to Gas Tungsten Arc Welding (GTAW). However it is more economical

when compare with Laser Beam welding and Electron Beam Welding processes.

PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)

43

Pulsed current MPAW involves cycling the welding current at selected regular frequency. The maximum current is selected to give adequate penetration and bead contour, while the minimum is set at a level sufficient to maintain a stable arc (Balasubramanian.B et.al,2006, Madusudhana Reddy G ert.al, 1997). This permits arc energy to be used effectively to fuse a spot of controlled dimensions in a short time producing the weld as a series of overlapping nuggets. By contrast, in constant welding current, the heat required to melt the base material is supplied only during the peak current pulses allowing the heat to dissipate into the base material leading to narrower Heat Affected Zone (HAZ). Advantages include improved bead contours, greater tolerance to heat sink variations, lower heat input requirements, reduced residual stresses and distortion, refinement of fusion zone microstructure and reduced width of HAZ. There are four independent parameters that influence the process are peak current, back current, pulse and pulse width.

From the literature review ( Zhang.D.K & Niu.J.T , 2000, Sheng-Chai Chi& LI-Chang Hsu ,2001,

Hsiao.Y.F et.al,2008, Siva.K et.al, 2008, LakshinarayanaA.K et.al,2008, Balasubramanian.V et.al,2009, Emel Taban et.al, 2009, Kahraman.N et.al,2010, Srimath.N et.al,2011) it is understood that in most of the works reported the effect of welding current, arc voltage, welding speed, wire feed rate, magnitude of ion gas flow, torch stand-off, plasma gas flow rate on weld quality characteristics like front melting width, back melting width, weld reinforcement, welding groove root penetration, welding groove width, front-side undercut are considered. However, much effort was not made to develop mathematical model to predict the same especially when welding thin sheets in a flat position. An attempt is made to correlate important pulsed current MPAW process parameters to Ultimate Tensile Strength (UTS) of the weld joints by developing mathematical model and optimizing using Hooke and jeeves method for pulsed current MPAW welded Inconel625 sheets.

2. Experimental Procedure

Inconel625 sheets of 100 x 150 x 0.25mm are welded autogenously with square butt joint without edge preparation. The chemical composition of Inconel625 is given in Table 1. High purity argon gas (99.99%) is used as a shielding gas and a trailing gas right after welding to prevent absorption of oxygen and nitrogen from the atmosphere. From the literature four important factors of pulsed current MPAW as presented in Table 2 are chosen. The welding has been carried out under the welding conditions presented in Table 3. A large number of trail experiments are carried out using 0.25mm thick Inconel625 sheets to find out the feasible working limits of pulsed current MPAW process parameters. Due to wide range of factors, it was decided to use four factors, five levels, rotatable central composite design matrix to perform the number of experiments for investigation. Table 4 indicates the 31 set of coded conditions used to form the design matrix. The first sixteen experimental conditions (rows) have been formed for main effects. The next eight experimental conditions are called as corner points and the last seven experimental conditions are known as center points. The method of designing such matrix is dealt elsewhere (Montgomery D.C, 1991, BoxG EP et.al, 1978). For the convenience of recording and processing the experimental data, the upper and lower levels of the factors are coded as +2 and -2, respectively and the coded values of any intermediate levels can be calculated by using Equation-1 (Ravindra J & Parmer R S, 1987). Fig.1 indicates the experimental setup used to carry out the experiments.

PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)

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Xi = 2[2X-(Xmax + Xmin)] / (Xmax – Xmin) (1) Where Xi is the required coded value of a parameter X. The X is any value of the parameter from

Xmin to Xmax, where Xmin is the lower limit of the parameter and Xmax is the upper limit of the parameter. Three transverse tensile specimens are prepared as per ASTM E8M-04 guidelines and the specimens

after wire cut Electro Discharge Machining. Tensile tests are carried out in 100 KN computer controlled Universal Testing Machine (ZENON, Model No: WDW-100). The specimen is loaded at a rate of 1.5KN/min as per ASTM specifications, so that the tensile specimens undergo deformation. From the stress strain curve, the Ultimate Tensile Strength of the weld joints is evaluated and the average of three results of each sample is presented in Table 4.

Table 1 Chemical composition of Inconel625 (weight %)

C Mn P S Si Cr Ni 0.0300 0.0800 0.0050 0.0004 0.1200 20.8900 61.6000 Al Mo Cb Ta Ti N Co Fe 0.1700 8.4900 3.4400 0.0050 0.1800 0.0100 0.1300 4.6700

Table 2 Welding conditions

Power source Secheron Micro Plasma Arc Machine (Model: PLASMAFIX 50E)

Polarity DCEN Mode of operation Pulse mode

Electrode 2% thoriated tungsten electrode Electrode Diameter 1mm

Plasma gas Argon & Hydrogen Plasma gas flow rate 6 Lpm

Shielding gas Argon Shielding gas flow rate 0.4 Lpm

Purging gas Argon Purging gas flow rate 0.4 Lpm

Copper Nozzle diameter 1mm Nozzle to plate distance 1mm

Welding speed 260mm/min Torch Position Vertical Operation type Automatic

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Table 3 Important factors and their levels

Levels Serial

No Input Factor Units -2 -1 0 +1 +2

1 Peak Current Amps 6 6.5 7 7.5 8 2 Back Current Amps 3 3.5 4 4.5 5 3 Pulse No’s/sec 20 30 40 50 60 4 Pulse width % 30 40 50 60 70

Table 4 Design matrix and experimental results

Serial No

Peak Current (Amps)

Back current (Amps)

Pulse (No/sec)

Pulse width (%)

Ultimate tensile strength(UTS) (MPa)

1 6.5 3.5 30 40 833 2 7.5 3.5 30 40 825 3 6.5 4.5 30 40 838 4 7.5 4.5 30 40 826 5 6.5 3.5 50 40 826 6 7.5 3.5 50 40 830 7 6.5 4.5 50 40 825 8 7.5 4.5 50 40 826 9 6.5 3.5 30 60 825 10 7.5 3.5 30 60 820 11 6.5 4.5 30 60 835 12 7.5 4.5 30 60 828 13 6.5 3.5 50 60 818 14 7.5 3.5 50 60 826 15 6.5 4.5 50 60 824 16 7.5 4.5 50 60 830 17 6 4 40 50 830 18 8 4 40 50 826 19 7 3 40 50 821 20 7 5 40 50 828 21 7 4 20 50 832 22 7 4 60 50 825 23 7 4 40 30 831 24 7 4 40 70 825 25 7 4 40 50 830 26 7 4 40 50 830 27 7 4 40 50 840 28 7 4 40 50 830 29 7 4 40 50 838 30 7 4 40 50 830 31 7 4 40 50 834

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3. Developing Mathematical Model

The Ultimate Tensile Strength of the weld joint is a function of peak current (A), back current (B),

pulse (C) and pulse width (D). It can be expressed as (Cochran W G & Cox G M, 1957, Barker T B, 1985 , Gardiner W P, Gettinby G, 1998).

Ultimate Tensile Strength (T)

T = f (A, B, C,D) (2)

The second order polynomial equation used to represent the response surface ‘Y’ is given by (Montgomery D.C, 1991):

Y = bo+∑bi xi +∑βiixi2 + ∑∑bijxixj+∈ (3)

Using MINITAB 14 statistical software package, the significant coefficients were determined and final

model is developed using significant coefficients to estimate Ultimate Tensile Strength values of weld joint.

The final mathematical model are given by

Ultimate Tensile Strength (T)

T=833.143-0.875X1+1.792X2-1.625X3-1.458X4-1.296X12-2.171X2

2-1.296X42 +3.187X1X3

Where X1, X2, X3 and X4 are the coded values of peak current, back current, pulse and pulse width respectively.

4. Checking the adequacy of the developed model

The adequacy of the developed model was tested using the analysis of variance technique (ANOVA). As per this technique, if the calculated value of the Fratio of the developed model is less than the standard Fratio (from F-table) value at a desired level of confidence (say 99%), then the model is said to be adequate within the confidence limit. ANOVA test results presented in Table 5 are found to be adequate at 99% confidence level. The value of co-efficient of determination ‘R2’ for the above developed model is found to be about 0.86.

Fig. 1 indicates the scatter plots for Ultimate Tensile Strength of the weld joint and reveals that the

actual and predicted values are close to each other with in the specified limits.

PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)

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PredictedA

ctua

l840835830825820

840

835

830

825

820

Scatterplot of Ultimate Tensile Strength

Fig.1 Scatter plot of ultimate tensile strength

Table.5 ANOVA test results of ultimate tensile strength

Ultimate tensile strength Source DF Seq SS Adj SS Adj MS F P Regression 14 679.070 679.070 48.5050 6.89 0.000 Linear 4 209.833 209.833 52.4583 7.45 0.001 Square 4 211.362 211.362 52.8405 7.51 0.001 Interaction 6 257.875 257.875 42.9792 6.11 0.002 Residual Error 16 112.607 112.607 7.0379 Lack-of-Fit 10 1.750 1.750 0.1750 Pure Error 6 110.857 110.857 18.4762 0.01 1.000 Total 30 791.677

Where DF=Degrees of freedom, SS=Sum of Squares, MS=Mean Square, F=Fishers Ratio

Confirmation tests are carried out different conditions to check the accuracy of the developed model. The

details of confirmation tests is shown in Table.6

Table.6 Confirmation test results

Peak

Current

Back Current

Pulse Pulse Width

Peak Current (Amps)

Back current (Amps)

Pulse (No/sec)

Pulse width (%)

Experimental Values of

UTS (MPa)

Predicted values of

UTS (MPa) 2 2 2 2 8 5 60 70 820 823 -2 -2 -2 -2 6 3 20 30 828 831 0 2 2 2 7 5 60 70 810 817 2 0 2 2 8 4 60 70 824 828 2 2 0 2 8 5 40 70 808 813 2 2 2 0 8 5 60 50 828 831 0 -2 -2 -2 7 3 20 30 816 822 -2 0 -2 -2 6 4 20 30 836 843 -2 -2 0 -2 6 3 40 30 812 815 -2 -2 -2 0 6 3 20 50 832 833

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From Table 6 it is very clear that the developed model holds good for set of input

parameters other than that specified in RSM design matrix. However it is important that the developed model is valid within the range of weld input parameters.

5. Optimization of Pulsed Current MPAW process parameters

Hooke and Jeeves method (Kalyanmoy.D ,1988) is used to search the optimum values of the process variables. In this paper the algorithm is developed to optimize the pulsed current MPAW process variables. The objective is to maximize ultimate tensile strength.

The Hooke & Jeeves method incorporates the past history of a sequence of iterations into

the generation of a new search direction. It combines exploratory moves with pattern moves. The exploratory moves examine the local behaviour of the function & seek to locate the direction of any stepping valleys that might be present. The pattern moves utilize the information generated in the exploration to step rapidly along the valleys.

Exploratory Move: Given a specified step size which may be different for each co- ordinate direction and

change during search. The exploration proceeds from an initial point by the specified step size in each coordinate direction. If the function value does not increased the step is considered successful. Otherwise the step is retracted and replaced by a step in the opposite direction which in turn is retained in depending upon whether it success or fails. When all N coordinates have been investigated, the exploration move is completed. The resulting point is termed a base point.

Pattern Move: A pattern move consists of a single step from the present base point along the line from

the previous to the current base point. A new pattern point is calculated as: xp

(k+1) = x(k) + (x(k) – x(k-1)) where, xp

(k+1) is temporary base point for a new exploratory move. If the result of this exploration move is a better point then the previous base point (xk)

then this is accepted as the new base point x(k+1). If the exploratory move does not produce improvement, the pattern move is discarded and the search returns to x(k), where an exploratory search is undertaken to find a new pattern.

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Steps: Step 1: Starting point x(0) The increments ∆i for i=1,2,3, …, N Step reduction factor α > 1 A termination parameter ε > 0 Step 2: Perform exploratory search Step 3: Was exploratory search successful (i.e. was a lower point found) If Yes go to step (5 ) Else continue Step 4: check for the termination ||∆|| < ε current pint approximation x0 ∆i = ∆i / α for i = 1,2,3, … , N Go to step 2 Step 5: Perform pattern move xp

(k+1) = x(k) + (x(k) – x(k-1)) Step 6: Perform exploratory research using xp

(k+1) as the base point; let the result be x(k+1). Step 7: Is f(x(k+1)) < f(x(k)) ? If Yes Set x(k-1) = x(k) x(k) = x(k+1) go to step (5). Else go to step (4) The flow chart for Hooke & Jeeves algorithm is presented in Fig.2

Table 7 Optimized pulsed current MPAW Parameters

Parameter Hooke Jeeves Method

Experimental

Peak current(Amps) 7.2177 7 Back current(Amps) 4.2177 4

Pulse (no/sec) 44.3545 40 Pulse width (%) 54.3545 50

Maximum ultimate tensile strength(Mpa)

844.3545 840

From Table 7 it is understood that the values predicted by Hooke and Jeeves method and experimental

values are very close to each other.

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Fig.2 Hooke & Jeeves flow chart

7. Conclusions

A five level, four factor full factorial design matrix based on the central composite rotatable

design technique was used for the development of mathematical models to predict the Ultimate Tensile Strength of Inconel625 stainless sheets welded by pulsed current micro plasma arc welding process. From the experiments conducted it is observed that maximum Ultimate Tensile Strength obtained is 840 Mpa for the input parameter combination of peak current of 7Amps, back current of 4 Amps, pulse of 40 pulses /sec and pulse width of 50%. From Hooke and Jeeves method the maximum value obtained is 844.3545 MPa for the input parameter combination of peak current of 7.2177Amps, back current of 4.2177 Amps, pulse of 44.3545 pulses /sec and pulse width of 55.3545 %. The values obtained experimentally and predicted by Hooke and Jeeves method are very close to each other.

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Acknowledgments

The authors would like to thank Shri. R.Gopla Krishnan, Director, M/s Metallic Bellows (I) Pvt Ltd,

Chennai, India for his support to carry out experimentation work.

References

BoxG EP, Hunter W H,Hunter J S, Statistics for experiments , New York: John Wiley & Sons,1978;

112-115. Barker T B, Quality by experimental design, Marcel Dekker: ASQC Quality Press;1985. Balasubramanian.B, Jayabalan.V, Balasubramanian.V,2006, Optimizing the Pulsed Current Gas

Tungsten Arc Welding Parameters, J Mater Sci Technol, 2006;22: 821-825. Balasubramanian.V, Lakshminarayanan.A.K, Varahamoorthy.R and Babu.S, Application of Response

Surface Methodology to Prediction of Dilution in Plasma Transferred Arc Hardfacing of Stainless Steel on Carbon Steel , Science Direct,2009;16:44-53.

Balasubramanian.M, Jayabalan.V, Balasubramanian.V, Effect of process parameters of pulsed current

tungsten inert gas welding on weld pool geometry of titanium welds, Acta Metall.Sin.(Engl. Lett.) 2010;23: 312-320 .

Cochran W G, Cox G M, Experimental Designs, London: John Wiley & SonsInc;1957. Emel Taban, Alfred Dhooge and Erdinc Kaluc, Plasma Arc Welding of Modified 12% Cr Stainless steel,

Materials and Manufacturing Processes,2009:24:649-656. Gardiner W P, Gettinby G, Experimental design techniques in statistical practice, Chichester:

Horwood;1998. Hsiao.Y.F, Tarng.Y.S, and Wang. J, Huang, Optimization of Plasma Arc Welding Parameters by Using

the Taguchi Method with the Grey Relational Analysis, Journal of Materials and Manufacturing Processes, 2008;23: 51–58.

Kalyanmoy.D, Optimization for engineering design, Prentice Hall;1988. Kahraman.N,Taskin.M.Gulenc.B,Durgutlu.A, An investigation into the effect of welding current on the

plasma arc welding of pure titanium, Kovove Mater, 2010;48:179-184. Lakshinarayana A.K, Balasubramanian.V, Varahamoorthy.R and Babu.S, Predicted the Dilution of

Plasma Transferred Arc Hardfacing of Stellite on Carbon Steel using Response Surface Methodology, Metals and Materials International, 2008;14:779-789.

PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)

52

Montgomery D.C, 1991,Design and analysis of experiments, 3rd Edition, New York: John Wiley &

Sons, 291-295. Madusudhana Reddy G, Gokhale A A, Prasad Rao K, Weld microstructure refinement in a 1441 grade

aluminium-lithium alloy, Journal of Material Science, 1997;32: 4117-4126. Ravindra, J., Parmar, R.S.: Mathematical model to predict weld bead geometry for flux cored arc

welding. Journal of Metal Construction 19, 12–41 (1987). Sheng-Chai Chi, LI-Chang Hsu ,A fuzzy Radial Basis Function Neural Network for Predicting Multiple

Quality characteristics of Plasma Arc Welding,IEEE,2001; 2807-2812. Siva.K, Muragan.N, Logesh.R, Optimization of weld bead geometry in Plasma transferred arc

hardfacing austenitic stainless steel plates using genetic algorithm, Int J Adv Manuf Technol, 2008;41:24-30.

Srimath.N, Muragan.N, Prediction and Optimization of Weld Bead Geometry of Plasma Transferred

Arc Hardfacing Valve Seat Rings, European Journal of Scientific Research, 2011:51: 285-298. Zhang.D.K and Niu.J.T , Application of Artificial Neural Network modeling to Plasma Arc Welding of

Aluminum alloys, Journal of Advanced Metallurgical Sciences,2000:13:194-200.