Volume 19, Issue 7 (July 2019)                   Modares Mechanical Engineering 2019, 19(7): 1789-1795 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Sabokrouh M, Farahani M. Analysis of Variance of Residual Stress Distribution in Girth Welding of High Strength Low Alloy Steel Gas Pipeline. Modares Mechanical Engineering 2019; 19 (7) :1789-1795
URL: http://mme.modares.ac.ir/article-15-21524-en.html
1- Engineering Faculty, Mahallat Institute of Higher Education, Mahallat, Iran
2- School of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran , mrfarahani@ut.ac.ir
Abstract:   (3046 Views)

In this paper, the analysis of variance (ANOVA) of weld residual stress distribution (using the hole drilling strain gage method according to ASTM 837 standard) was investigated (in the hoop and axial direction of the 56-inch gas transmission). The results of ANOVA show that the best distribution curve of residual stress is the third order function (3 degree of freedom) in the distribution diagram of hoop and axial residual stresses. In this order, the p value of the hoop and axial residual stress is 0.044 and 0.001, respectively. This indicates the high reliability of the third order function. Also, the value of F and coefficient of determination of this order has an appropriate value. In addition, due to the high p value and low reliability, the 5-order approximation function is not a suitable residual stress distribution curve compared to the third order function. Order approximation functions (2 and 4) have lower reliability (higher p value) and lower F value than odd order (3 and 5). Despite having the highest freedom with the highest p (lowest reliability), the lowest F, and the lowest coefficient of determination, the second-order function, is the most inappropriate approximation function. Despite the existence of residual stress with respect to the zero experimental residual stress compared to the approximation function, the use of strain test in points far from the weld one and the base metal is not essential.

Full-Text [PDF 605 kb]   (2276 Downloads)    
Article Type: Original Research | Subject: Welding
Received: 2018/05/30 | Accepted: 2019/01/19 | Published: 2019/07/1

1. Enami M, Farahani M, Farhang M. Novel study on keyhole less friction stir spot welding of Al 2024 reinforced with alumina nanopowder. The International Journal of Advanced Manufacturing Technology. 2019;101(9-12):3093-3106. [Link] [DOI:10.1007/s00170-018-3142-z]
2. Bouchard PJ. Validated residual stress profiles for fracture assessments of stainless steel pipe girth welds. International Journal of Pressure Vessels and Piping. 2007;84(4):195-222. [Link] [DOI:10.1016/j.ijpvp.2006.10.006]
3. Leggatt RH. Residual stresses in welded structures. International Journal of Pressure Vessels and Piping. 2008;85(3):144-151. [Link] [DOI:10.1016/j.ijpvp.2007.10.004]
4. Hashemi SH, Mohammadyani D. Characterisation of weldment hardness, impact energy and microstructure in API X65 steel. International Journal of Pressure Vessels and Piping. 2012;98:8-15. [Link] [DOI:10.1016/j.ijpvp.2012.05.011]
5. Farahani M, Hakkak Zargar S, Akbari D. Investigation of the effects of the weld groove shape on the residual stress formation in the butt-welded plates. Scientia Iranica Transactions B: Mechanical Engineering. 2016;23(5):2230-2237. [Link] [DOI:10.24200/sci.2016.3952]
6. Brickstad B, Josefson BL. A parametric study of residual stresses in multi-pass butt-welded stainless steel pipes. International Journal of Pressure Vessels and Piping. 1998;75(1):11-25. [Link] [DOI:10.1016/S0308-0161(97)00117-8]
7. Andalib H, Farahani M, Enami M. Study on the new friction stir spot weld joint reinforcement technique on 5754 aluminum alloy. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 2018;232(17):2976-2986. [Link] [DOI:10.1177/0954406217729419]
8. Mohammadzadeh Jamalian H, Farahani M, Besharati Givi MK, Aghaei Vafaei M. Study on the effects of friction stir welding process parameters on the microstructure and mechanical properties of 5086-H34 aluminum welded joints. The International Journal of Advanced Manufacturing Technology. 2016;83(1-4):611-621. [Link] [DOI:10.1007/s00170-015-7581-5]
9. Tabasi M, Farahani M, Besharati Givi MK, Farzami M, Moharami A. Dissimilar friction stir welding of 7075 aluminum alloy to AZ31 magnesium alloy using SiC nanoparticles. The International Journal of Advanced Manufacturing Technology. 2016;86(1-4):705-715. [Link] [DOI:10.1007/s00170-015-8211-y]
10. Hashemi SH, Sabokrouh M, Farahani MR. Investigation of weldability in multi-pass girth welding of thermomechanical steel pipe. Modares Mechanical Engineering. 2013;13(4):60-73. [Persian] [Link]
11. Sabokrouh M, Hashemi SH, Farahani MR. Experimental study of the weld microstructure properties in assembling of natural gas transmission pipelines. Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture. 2017;231(6):1039-1047. [Link] [DOI:10.1177/0954405415579581]
12. Sabokrouh M, Hashemi SH, Farahani MR. Correlation of microstructural and mechanical properties with residual stresses in multi-pass girth welding of 56-inche steel pipe of grade API X-70. Petroleum Research. 2013;23(76):65-79. [Persian] [Link]
13. Sabokrouh M, Hashemi SH, Farahani MR. An evaluation of the effect of residual stresses on the static strength and dynamic toughness of multi-pass girth welding in Iranian natural gas transmission pipeline using new design criteria. Petroleum Research. 2016;26(87):24-36. [Persian] [Link]
14. Sabokrouh M, Farahani MR. Mathematical modeling of residual stress distribution in girth welding of high strength low alloy steel gas pipelines. Modares Mechanical Engineering. 2018;18(7):226-232. [Persian] [Link]
15. Hinrichs A, Schneider J. Equivalence of anchored and ANOVA spaces via interpolation. Journal of Complexity. 2016;33:190-198. [Link] [DOI:10.1016/j.jco.2015.11.002]
16. Chakraborty S, Chowdhury R. Galerkin based generalized ANOVA for the solution of stochastic steady state diffusion problems. Probabilistic Engineering Mechanics. 2017;50:36-44. [Link] [DOI:10.1016/j.probengmech.2017.10.009]
17. Durga Prasad MVR, Namala KK. Process parameters optimization in friction stir welding by ANOVA. Materials Today Proceedings. 2018;5(2 Pt 1):4824-4831. [Link] [DOI:10.1016/j.matpr.2017.12.057]

Add your comments about this article : Your username or Email:

Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.