Determination of welding residual stress distribution in API X65 pipeline using a modified magnetic Barkhausen noise method

Ju, Jang-Bog; Lee, Jung-Suk; Jang, Jae-il; Kim, Woo‐Sik; Kwon, Dongil

doi:10.1016/s0308-0161(03)00131-5

Cited by 38 publications

(26 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The comparison of results with those from X-ray diffraction showed a good agreement. Similar good results were achieved by measurements performed on other types of steels such as API X65 [62], API 5 L X70 [63], AS1548-7-460R [64], structural steel [65] and CrMo steel [66]. As pointed out by many investigators who examined welds of different steels, BN technique requires a precise calibration procedure in all zones, which have a noticeably different microstructure, namely each zone should be separately considered for calibration [59,60,61,63].…”

Section: Nondestructive Techniques 31 Barkhausen Noise Methodssupporting

confidence: 70%

Experimental Techniques to Investigate Residual Stress in Joints

Montanari¹,

Fava²,

Barbieri³

2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

View full text Add to dashboard Cite

Residual stress arising from welding processes is matter of great concern in industrial practice since it can affect geometry, mechanical behavior and corrosion resistance of components. In order to evaluate residual stress in welded joints and optimize postwelding heat treatments, a lot of work has been devoted to the improvement of measurement methods with increasing sensitivity and accuracy. The chapter presents and discusses some of the experimental techniques commonly used today to determine residual stress in welds and describes recent results and advancements. Destructive (sectioning, contour, hole-drilling, instrumented indentation) and nondestructive (Barkhausen noise, ultrasonic, X-ray and neutron diffraction) methods are illustrated to highlight the specific characteristics, advantages and drawbacks.

show abstract

Section: Nondestructive Techniques 31 Barkhausen Noise Methodssupporting

confidence: 70%

Experimental Techniques to Investigate Residual Stress in Joints

Montanari¹,

Fava²,

Barbieri³

2018

Residual Stress Analysis on Welded Joints by Means of Numerical Simulation and Experiments

View full text Add to dashboard Cite

show abstract

“…Due to small variation of the density with temperature, this property was set as 7850 . 3 kg m − . The thermal conductivity and specific heat for individual phases reported in the literature depend of the authors, although follows similar trends [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][24][25][26][27][28][29][30][31][32][33] .…”

Section: Thermophysical Propertiesmentioning

confidence: 99%

“…Several works have been carried out and highlighted the importance of taking into account the phase transformations effects and properties evaluation developed during welding [2][3][4][5][6][7][8][9][10][11][12][13] . Simultaneously, the numerical methods have been a fundamental tool for supporting qualitative and quantitative analysis of these stresses, as well as on the prediction of the resultant microstructure and mechanical properties of the weldment.…”

Section: Introductionmentioning

confidence: 99%

“…Simultaneously, the numerical methods have been a fundamental tool for supporting qualitative and quantitative analysis of these stresses, as well as on the prediction of the resultant microstructure and mechanical properties of the weldment. For example, some experimental methods to analyze the residual stresses from welding are affected by the weldment microstructure and a previous knowledge about the phase transformations that could take place during this procedure would be very helpful 3,12 .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

et al. 2016

View full text Add to dashboard Cite

A phenomenological model to predict the multiphase diffusional decomposition of the austenite in low-alloy hypoeutectoid steels was adapted for welding conditions. The kinetics of phase transformations coupled with the heat transfer phenomena was numerically implemented using the Finite Volume Method (FVM) in a computational code. The model was applied to simulate the welding of a commercial type of low-alloy hypoeutectoid steel, making it possible to track the phase formations and to predict the volume fractions of ferrite, pearlite and bainite at the heat-affected zone (HAZ). The volume fraction of martensite was calculated using a novel kinetic model based on the optimization of the well-known Koistinen-Marburger model. Results were confronted with the predictions provided by the continuous cooling transformation (CCT) diagram for the investigated steel, allowing the use of the proposed methodology for the microstructure and hardness predictions at the HAZ of low-alloy hypoeutectoid steels.

show abstract

“…Literature survey reports broad utilization of the MBN technique in measuring residual stresses [20][21][22][23][24][25][26][27]. The MBN method is a fast, reliable, economic method, and it is appropriate either for laboratory of for industrial scale.…”

Section: Introductionmentioning

confidence: 99%