jqlnqlk7 qdh/ - international journal of lean thinkingthinkinglean.com/img/files/paper_4(1).pdf ·...
TRANSCRIPT
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)
44
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
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
45
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
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
46
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)
47
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
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
48
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.
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
49
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.
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
50
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.
PRASAD, SRINIVASA RAO, NAGESWARA RAO / International Journal of Lean Thinking Volume 3, Issue 1(June2012)
51
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.