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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2637
Optimization of tube-flange welded joints under Torsional loading
Sourabh Londhey 1, Purushottam Sahu2
1Research Scholar, BM College of Technology, Indore RGPV, Bhopal
2Professor and HEAD, BM College of Technology, Indore RGPV, Bhopal
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - Numerous geometrical and environmental
parameters affect the durability and strength of the weld
junction. Geometric characteristics that determine weld joint
strength can be adjusted, but environmental conditions that
influence weld joints are difficult to manage. The geometric
optimization parameters are h,, and t. This optimization
technique would produce the responses for equivalent stress,
shear stress, and fatigue life along with the sensitivity of each
optimization variable, h,, and t. ANSYS software is used to
generate the CAD model of the weld joint and to carry out the
FEA analysis. Since h has the highest sensitivity to shear stress
and normal stress out of the three variables chosen for
investigation, it should be given top consideration when
designing weld joints.
Key Words: FEA, Weld joint, Response Surface Method
1. INTRODUCTION
The two metals are connected during the welding process
under the proper thermo physical conditions. Temperature,
pressure, and metallurgical conditionsareexamplesofthese
thermo physical circumstances. The range of working
temperatures and pressures affects the welding process.
Because welding allows for direct stress transfer between
components and also helps to minimise weight, iteliminates
the need for any gussets or plates. All industries, whether
small or large, employ welding extensively. It is the main
method for fabricating or mending metals, and it has
applications in space as well.
1.2 Weld Defects
Figure 1.3 - Fillet welds in different joints a) Lap joint b)
T-joint c) Cross joint [1]
The mechanical properties of weld joint are drastically
affected by porosity, crack, internal concavity and lack of
penetration. These defects cause fatigue failure which are
critical. The incompletepenetrationinducesstressandwhen
subjected to pressure it may cause crack
The fillet and butt weld are the most common types of weld
used as shown in figure 1.2 and figure 1.3. Out of which the
perpendicular pieces are welded using fillet weld and
parallel surfaces are welded using butt weld.
The weld dimensions have to be done by taking
consideration of three critical sections asshowninfigure1.4
below. These are section I, section II and section III. The
crack initiation takes place in section III and while section II
and section I corresponds weld toecrack propagation.There
are three possible modes of failure in weld joint which are
toe crack at ends and root crack at bottom mid as shown in
figure 1.5 below.
Figure 1.4: Sections of interest in a weld [1]
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2638
Figure 1.5: Possible failure modes [1]
For simplicity in simulations, the fillet welds are considered
to be isosceles triangle as shown in figure 1.6 below. The
nominal throat thickness is the height of largesttrianglethat
can be fitted between the joint faces and the weld surface.
The weld penetration determines throat thickness. The
throat thickness 𝑎0 is the dimension used in various
manufacturing drawings
1.3 Detailed objectives:
1> Using ANSYS design modeller, CAD modelling of the tube
flange welded joint illustrated in the previous figure
2> FEA structural analysis using ANSYS software and
torsional loading conditions
3. Calculating shear stress, deformation, fatigue life, and
additional stresses.
4> Choosing the optimization variables h and
5> Using Taguchi design of experiments to generate design
points.
6> Creating linear graphs with reactions to loads,
deformation, and fatigue life Creating sensitivity charts for
the factors stated above.
8> Shear stress versus. edge curve distance
2. METHODOLOGY AND EXPECTED OUTCOMES
2.2 Methodology and modelling
Figure 4.1: a> Quarter model b>Parameters definition [27]
The CAD model of geometry is developed as per literature
[27] using ANSYS design modeler. Initially sketch is
developed as shown by blue coloured cross section in figure
4.1 above. The dimensions aredefinedaspertable4.1above.
The sketch is then revolved to 3600 angle to developed full
model.
2.3 Results for Carbon Steel
The carbon steel weld joint is the subject of the FEAanalysis.
The shear stress plot for a carbon steel weld is generated
and can be seen in figure 1.2678MPa. It is largest at the
corners (the red zone), and it decreases along the length of
the tube.
Figure 5.2: Shear stress plot for carbon steel
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2639
Figure 5.3: Total deformation plot for carbon steel
The maximum deformation is observed at the free end of
tube with magnitude of .00068mm and it reduces towards
the supported end which is shown in dark blue color.
Figure 5.4: Normal stress plot for carbon steel
The normal stress plot is generated for carbon steel tube
flange weld joint as shown in figure5.4above.Themaximum
normal stress of .57745MPa is observed at the intersection.
Figure 5.5: Shear stress plot for carbon steel
The shear stress value is plotted along the curve on tube
region as shown in figure 5.5 above. The maximum shear
stress is observed at the intersection region with magnitude
of 1.2467MPa which reduces along the length. The variation
of shear stress along the length is shown in curve (figure 5.6
below).
3Aluminium Alloy Results
The FEA analysis is conductedonaluminiumalloyweldjoint.
The shear stress plot is generated for aluminium alloy weld
as shown in figure 1.2671MPa which is maximum at the
corner regions (red colored region) and it reduces along the
length of tube.
Figure 5.7: Shear stress plot for aluminium alloy
Figure 5.8: Total deformation plot for aluminium alloy
The maximum deformation is observed at the free end of
aluminium alloy tube with magnitude of .0019607mmandit
reduces towards the supported end which is shown in dark
blue color.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2640
Figure 5.9: Normal stress plot for aluminium alloy
The normal stress plot is generated for carbon steel tube
flange weld joint as shown in figure5.9above.Themaximum
normal stress of .5777MPa is observed at the intersection.
Figure 5.10: Shear stress vs length for aluminium alloy
The shear stress value is plotted along the curve on tube
region as shown in figure 5.10 above. The maximum shear
stress is observed at the intersection region with magnitude
of 1.24676MPa which reduces along the length. The
variation of shear stress along the length is shown in curve.
6Response Surface optimization
The design points are generated from Taguchi design of
experiments is shown in table 5.2 below.
Table 5.2: Design points generated from Taguchi design of
experiments
Using Taguchi response surface (DOE) method involving
central composite design scheme various design points are
generated. The stress, deformation corresponding to these
design points are evaluated fromFEAanalysis.Thecompiled
results are shown in table 5.2 above. The maximum and
minimum values obtained from design of experiments are
shown in table 5.3 below.
3. CONCLUSION AND FUTURE PERSPECTIVE
ANSYS software is used to do the FEA study of the weld
geometry, and the results are analytically validated. Using
response surface methods and design of experiments, the
shape of the weld parameters is optimized. Plots of the
response surface are produced for shear stress and
deformation. The range of magnitude of the parameters (h,,
and t) for the highest and minimum values of shear stress,
deformation, and safety factor can be calculated using
response surface plots. Here are the specifics:
1. Because the corner point developsthemostshearstress,it
is extremely prone to fatigue failure. For carbon steel, the
amount of stress created at the corner is 1.2678MPa.
2. The shear stress vs. distance curve figure demonstrates
that the shear stress drops as one moves away from the
corner and becomes negligible as one moves near the end,
whereas the deformation is greatest at the open end.
3. The alpha's sensitivity to overall deformation is 11.324
(negative). The negative sensitivity indicates that total
deformation would decrease as alpha value increased and
vice versa.
4. The h variable's sensitivity to overall deformation is
52.495(positive). The positive sensitivity indicates that the
overall deformation would rise with an increase in h value
and vice versa.
5. The t's sensitivity tototal deformationis35.949(negative).
A negative sensitivity indicates that overall deformation
would decrease as h value increased and vice versa.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072
© 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2641
6. The alpha's sensitivity to typical stress is 58.763
(negative). The negative sensitivityindicatesthatdecreasing
normal stress would occur with an increase in alpha value
and vice versa. The h variable responds positively (34.376)
to ordinary stress.
References
[1]Olsson,C.,2005.Konstruktionshandbokförsvetsadeprodukt
er. 3 ed. Lidingö: Industrilitteratur.
[2]Olsson,C.,2014.Konstruktionshandbookförsvetsadeprodu
kter. 5 ed. Onsala: Techstrat Publishing.
[3] T. Ninh Nguyen and M. A. Wahab, “The effect of weld
geometry and residual stresses onthefatigueofweldedjoint
under combine
[4] Kyungwoo Lee, “ Large deflections of cantileverbeams of
nonlinear elastic material under a combined loading,”
International Journal of Non-Linear Mechanics 37 (2002)
439–443.
[5] Robb C. Wilcox, “The effect of weld penetrationontensile
strength of fillet welded joints”,B.S., Naval Architecture and
Marine engineering, U.S. coast guard acadamy, 1991
[6] Mahapatra, M., G. L. Datta, B. Pradhan, and N. R. Mandal.
“Modelling the effects of constraints and single axis welding
process parameters on angular distortions in one-side fillet
welds.” Proc. IMechE 221 Part B: 397-407.
[7] Kumose, T., T. Yoshida, T. Abbe, and H. Onoue.
“Prediction of Angular Distortion Caused by One-Pass Fillet
Welding.”Welding Journal. 1954: 945-956.
[8] Michaleris, P., J. Dantiz, and D. Tortorelli. "Minimization
of welding residual stress and distortioninlargestructures."
Welding Journal 11 (1999): 361-366s.
[9] Okerblom, N.O. "The Calculations of Deformations of
Welded Metal Structures." 1958 (Her Majesty’s Stationery
Office, London).
[10] Teng, T., and C. Lin. “Effect of welding conditions on
residual stresses due to butt welds.” International Journal of
Pressure Vessels and Piping 75 (1998): 857-864.
[11] Teng, T., C. Fung, P. Chang, and W. Yang. Analysis of
Residual Stresses and Distortions in TJoint Fillet Welds.
International Journal of Pressure Vessels and Piping 78
(2001): 523-538.
[12] Tekriwal, P., and J. Mazumder. "Transient and Residual
Thermal Strain-Stress Analysis of GMAW."Journal of
Engineering Materials andTechnology113(1991):336-343.
[13] T. Lassen, ph. Darcis, and N. Recho,(2005) Fatigue
behavior of welded joints part 1–Statistical methods for
fatigue life prediction supplement to the welding journal,
Sponsored by theAmerican WeldingSocietyandthe Welding
Research Council,pp.183-187.
[14] TeppeiOkawa,HiroshiShimanuki,TetsuroNose, Tamaki
Suzuki,(2013) Fatigue life prediction of welded structures
based on crack growth analysis, Nippon steel technical
report no. 102, pp.51-53.
[15] Multiple objective optimization ofa diesel enginefueled
with Karanja biodiesel using response surface methodology
Purushottam Kumar Sahu aSatyendra Sharmab
https://doi.org/10.1016/j.matpr.2021.12.206

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Optimization of tube-flange welded joints under Torsional loading

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2637 Optimization of tube-flange welded joints under Torsional loading Sourabh Londhey 1, Purushottam Sahu2 1Research Scholar, BM College of Technology, Indore RGPV, Bhopal 2Professor and HEAD, BM College of Technology, Indore RGPV, Bhopal ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Numerous geometrical and environmental parameters affect the durability and strength of the weld junction. Geometric characteristics that determine weld joint strength can be adjusted, but environmental conditions that influence weld joints are difficult to manage. The geometric optimization parameters are h,, and t. This optimization technique would produce the responses for equivalent stress, shear stress, and fatigue life along with the sensitivity of each optimization variable, h,, and t. ANSYS software is used to generate the CAD model of the weld joint and to carry out the FEA analysis. Since h has the highest sensitivity to shear stress and normal stress out of the three variables chosen for investigation, it should be given top consideration when designing weld joints. Key Words: FEA, Weld joint, Response Surface Method 1. INTRODUCTION The two metals are connected during the welding process under the proper thermo physical conditions. Temperature, pressure, and metallurgical conditionsareexamplesofthese thermo physical circumstances. The range of working temperatures and pressures affects the welding process. Because welding allows for direct stress transfer between components and also helps to minimise weight, iteliminates the need for any gussets or plates. All industries, whether small or large, employ welding extensively. It is the main method for fabricating or mending metals, and it has applications in space as well. 1.2 Weld Defects Figure 1.3 - Fillet welds in different joints a) Lap joint b) T-joint c) Cross joint [1] The mechanical properties of weld joint are drastically affected by porosity, crack, internal concavity and lack of penetration. These defects cause fatigue failure which are critical. The incompletepenetrationinducesstressandwhen subjected to pressure it may cause crack The fillet and butt weld are the most common types of weld used as shown in figure 1.2 and figure 1.3. Out of which the perpendicular pieces are welded using fillet weld and parallel surfaces are welded using butt weld. The weld dimensions have to be done by taking consideration of three critical sections asshowninfigure1.4 below. These are section I, section II and section III. The crack initiation takes place in section III and while section II and section I corresponds weld toecrack propagation.There are three possible modes of failure in weld joint which are toe crack at ends and root crack at bottom mid as shown in figure 1.5 below. Figure 1.4: Sections of interest in a weld [1]
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2638 Figure 1.5: Possible failure modes [1] For simplicity in simulations, the fillet welds are considered to be isosceles triangle as shown in figure 1.6 below. The nominal throat thickness is the height of largesttrianglethat can be fitted between the joint faces and the weld surface. The weld penetration determines throat thickness. The throat thickness 𝑎0 is the dimension used in various manufacturing drawings 1.3 Detailed objectives: 1> Using ANSYS design modeller, CAD modelling of the tube flange welded joint illustrated in the previous figure 2> FEA structural analysis using ANSYS software and torsional loading conditions 3. Calculating shear stress, deformation, fatigue life, and additional stresses. 4> Choosing the optimization variables h and 5> Using Taguchi design of experiments to generate design points. 6> Creating linear graphs with reactions to loads, deformation, and fatigue life Creating sensitivity charts for the factors stated above. 8> Shear stress versus. edge curve distance 2. METHODOLOGY AND EXPECTED OUTCOMES 2.2 Methodology and modelling Figure 4.1: a> Quarter model b>Parameters definition [27] The CAD model of geometry is developed as per literature [27] using ANSYS design modeler. Initially sketch is developed as shown by blue coloured cross section in figure 4.1 above. The dimensions aredefinedaspertable4.1above. The sketch is then revolved to 3600 angle to developed full model. 2.3 Results for Carbon Steel The carbon steel weld joint is the subject of the FEAanalysis. The shear stress plot for a carbon steel weld is generated and can be seen in figure 1.2678MPa. It is largest at the corners (the red zone), and it decreases along the length of the tube. Figure 5.2: Shear stress plot for carbon steel
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2639 Figure 5.3: Total deformation plot for carbon steel The maximum deformation is observed at the free end of tube with magnitude of .00068mm and it reduces towards the supported end which is shown in dark blue color. Figure 5.4: Normal stress plot for carbon steel The normal stress plot is generated for carbon steel tube flange weld joint as shown in figure5.4above.Themaximum normal stress of .57745MPa is observed at the intersection. Figure 5.5: Shear stress plot for carbon steel The shear stress value is plotted along the curve on tube region as shown in figure 5.5 above. The maximum shear stress is observed at the intersection region with magnitude of 1.2467MPa which reduces along the length. The variation of shear stress along the length is shown in curve (figure 5.6 below). 3Aluminium Alloy Results The FEA analysis is conductedonaluminiumalloyweldjoint. The shear stress plot is generated for aluminium alloy weld as shown in figure 1.2671MPa which is maximum at the corner regions (red colored region) and it reduces along the length of tube. Figure 5.7: Shear stress plot for aluminium alloy Figure 5.8: Total deformation plot for aluminium alloy The maximum deformation is observed at the free end of aluminium alloy tube with magnitude of .0019607mmandit reduces towards the supported end which is shown in dark blue color.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2640 Figure 5.9: Normal stress plot for aluminium alloy The normal stress plot is generated for carbon steel tube flange weld joint as shown in figure5.9above.Themaximum normal stress of .5777MPa is observed at the intersection. Figure 5.10: Shear stress vs length for aluminium alloy The shear stress value is plotted along the curve on tube region as shown in figure 5.10 above. The maximum shear stress is observed at the intersection region with magnitude of 1.24676MPa which reduces along the length. The variation of shear stress along the length is shown in curve. 6Response Surface optimization The design points are generated from Taguchi design of experiments is shown in table 5.2 below. Table 5.2: Design points generated from Taguchi design of experiments Using Taguchi response surface (DOE) method involving central composite design scheme various design points are generated. The stress, deformation corresponding to these design points are evaluated fromFEAanalysis.Thecompiled results are shown in table 5.2 above. The maximum and minimum values obtained from design of experiments are shown in table 5.3 below. 3. CONCLUSION AND FUTURE PERSPECTIVE ANSYS software is used to do the FEA study of the weld geometry, and the results are analytically validated. Using response surface methods and design of experiments, the shape of the weld parameters is optimized. Plots of the response surface are produced for shear stress and deformation. The range of magnitude of the parameters (h,, and t) for the highest and minimum values of shear stress, deformation, and safety factor can be calculated using response surface plots. Here are the specifics: 1. Because the corner point developsthemostshearstress,it is extremely prone to fatigue failure. For carbon steel, the amount of stress created at the corner is 1.2678MPa. 2. The shear stress vs. distance curve figure demonstrates that the shear stress drops as one moves away from the corner and becomes negligible as one moves near the end, whereas the deformation is greatest at the open end. 3. The alpha's sensitivity to overall deformation is 11.324 (negative). The negative sensitivity indicates that total deformation would decrease as alpha value increased and vice versa. 4. The h variable's sensitivity to overall deformation is 52.495(positive). The positive sensitivity indicates that the overall deformation would rise with an increase in h value and vice versa. 5. The t's sensitivity tototal deformationis35.949(negative). A negative sensitivity indicates that overall deformation would decrease as h value increased and vice versa.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 07 | July 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 2641 6. The alpha's sensitivity to typical stress is 58.763 (negative). The negative sensitivityindicatesthatdecreasing normal stress would occur with an increase in alpha value and vice versa. The h variable responds positively (34.376) to ordinary stress. References [1]Olsson,C.,2005.Konstruktionshandbokförsvetsadeprodukt er. 3 ed. Lidingö: Industrilitteratur. [2]Olsson,C.,2014.Konstruktionshandbookförsvetsadeprodu kter. 5 ed. Onsala: Techstrat Publishing. [3] T. Ninh Nguyen and M. A. Wahab, “The effect of weld geometry and residual stresses onthefatigueofweldedjoint under combine [4] Kyungwoo Lee, “ Large deflections of cantileverbeams of nonlinear elastic material under a combined loading,” International Journal of Non-Linear Mechanics 37 (2002) 439–443. [5] Robb C. Wilcox, “The effect of weld penetrationontensile strength of fillet welded joints”,B.S., Naval Architecture and Marine engineering, U.S. coast guard acadamy, 1991 [6] Mahapatra, M., G. L. Datta, B. Pradhan, and N. R. Mandal. “Modelling the effects of constraints and single axis welding process parameters on angular distortions in one-side fillet welds.” Proc. IMechE 221 Part B: 397-407. [7] Kumose, T., T. Yoshida, T. Abbe, and H. Onoue. “Prediction of Angular Distortion Caused by One-Pass Fillet Welding.”Welding Journal. 1954: 945-956. [8] Michaleris, P., J. Dantiz, and D. Tortorelli. "Minimization of welding residual stress and distortioninlargestructures." Welding Journal 11 (1999): 361-366s. [9] Okerblom, N.O. "The Calculations of Deformations of Welded Metal Structures." 1958 (Her Majesty’s Stationery Office, London). [10] Teng, T., and C. Lin. “Effect of welding conditions on residual stresses due to butt welds.” International Journal of Pressure Vessels and Piping 75 (1998): 857-864. [11] Teng, T., C. Fung, P. Chang, and W. Yang. Analysis of Residual Stresses and Distortions in TJoint Fillet Welds. International Journal of Pressure Vessels and Piping 78 (2001): 523-538. [12] Tekriwal, P., and J. Mazumder. "Transient and Residual Thermal Strain-Stress Analysis of GMAW."Journal of Engineering Materials andTechnology113(1991):336-343. [13] T. Lassen, ph. Darcis, and N. Recho,(2005) Fatigue behavior of welded joints part 1–Statistical methods for fatigue life prediction supplement to the welding journal, Sponsored by theAmerican WeldingSocietyandthe Welding Research Council,pp.183-187. [14] TeppeiOkawa,HiroshiShimanuki,TetsuroNose, Tamaki Suzuki,(2013) Fatigue life prediction of welded structures based on crack growth analysis, Nippon steel technical report no. 102, pp.51-53. [15] Multiple objective optimization ofa diesel enginefueled with Karanja biodiesel using response surface methodology Purushottam Kumar Sahu aSatyendra Sharmab https://doi.org/10.1016/j.matpr.2021.12.206