Characterization of gradients in mechanical properties of SA-533B steel welds using ball indentation

Murty, K. Linga; Miraglia, P.Q.; Mathew, M.D.; Shah, V.N.; Haggag, F.M.

doi:10.1016/s0308-0161(99)00006-x

Cited by 50 publications

(23 citation statements)

References 5 publications

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“…The h t , h p and the corresponding loads in N are the raw data for determining the mechanical properties like UTS, YS, K, n and s t K3 t curve. The details of the theory and advantages of the technique are given elsewhere [4,9,10,14].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Later, it was found that this method equally useful in assessing the health of a used component, particularly where a limited amount of material is available [2][3][4]. It has been found useful to characterise the mechanical properties of the various zone of a welded materials and components [4][5][6][7][8]. In-situ application of BIT on actual components is also very effective because it assess the material's properties without any need of removing a test piece from the component [9][10].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Structure–property correlation of EN steel and evaluation of mechanical properties through BIT

Das¹,

Ghosh²

2006

NDT & E International

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Structure–property correlation of EN steel and evaluation of mechanical properties through BIT

Das¹,

Ghosh²

2006

NDT & E International

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“…This group also applied the ABI technique to measure through the thickness variations of mechanical properties in the pressure vessels. The location dependence of the mechanical properties was successfully measured by Murthy et al (1999). Gradients in mechanical and fracture properties of SA 533B steel welds were studied using ball indentation technique.…”

Section: Review Of Earlier Workmentioning

confidence: 99%

Numerical simulation with finite element and artificial neural network of ball indentation for mechanical property estimation

Sharma

Bhasin

Vaze

et al. 2011

Sadhana

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A combined mechanical property evaluation methodology with ABI (Automated Ball Indentation) simulation and Artificial Neural Network (ANN) analysis is evolved to evaluate the mechanical properties for Carbon Manganese Steel (SA-333 Grade-6) and Stainless Steel (SS-304LN). The experimental load deflection data is converted into meaningful mechanical properties for these materials and their evaluated property is verified with experimental tensile specimen results. An ANN database is generated with the help of contact type finite element analysis by numerically simulating the ABI process for various magnitudes of yield strength (σ yp ) (200 MPa-400 MPa) with a range of strain hardening exponent (n) (0.05-0.5) and strength coefficient (K) (600 MPa-1600 MPa). For the present problem, a ball indenter of 1.57 mm diameter having Young's modulus higher than test piece is used to minimize the error due to indenter deformation. Test piece dimension is kept large enough in comparison to the indenter configuration in the simulation to minimize the deflection at the outer edge of the test piece. Further, this database after the neural network training; is used to analyse measured material properties of different test pieces. The ANN predictions are reconfirmed with contact type finite element analysis for an arbitrary selected test sample. The methodology evolved in this work can be extended to predict material properties for any irradiated nuclear material in the service. Extensions of the ABI tests and the associated database analysis could lead to evaluation of the indentation energy to fracture needed for the structural integrity assessment of aged components.

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“…Pressurized water reactor (PWR) pressure vessels are of a cylindrical shell design, 3.3∼4.6 m in diameter and 12∼14 m in height, with a through-wall thickness of about 230 mm [1]. The primary welding technology for the nuclear pressure vessel manufacture is multipass submerged arc welding (SAW) [2,3].…”

Section: Introductionmentioning

confidence: 99%

Understanding and elimination of process defects in narrow gap multi-pass fiber laser welding of ferritic steel sheets of 30 mm thickness

Feng

Guo

Irvine

et al. 2016

Int J Adv Manuf Technol

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Narrow gap (or groove) laser welding involves multiple layer additive manufacture for the joining of thick-section metallic components. Typical defects include porosity, cracking, lack of fusion to sidewalls, and between layers, and component distortion including the closure of the groove. This study aimed to understand the defect formation mechanisms and factors affecting them, and to develop appropriate welding procedures and parameters for joining ferritic steel sheets of 30 mm in thickness. High-quality welded joints in 30-mm-thick Grade 43 ferritic steel sheets have been achieved by multi-pass defocused laser beam welding with filler wire addition. The microstructure and the microhardness of the multi-pass welded joint were found to be affected by the tempering of the subsequent multi-pass welding layers. Post-weld heat treatment on the welded joints were required since, although the strength of the welded joints were higher than that of base metal, the ductility was much lower than that of base metal.

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Characterization of gradients in mechanical properties of SA-533B steel welds using ball indentation

Cited by 50 publications

References 5 publications

Structure–property correlation of EN steel and evaluation of mechanical properties through BIT

Structure–property correlation of EN steel and evaluation of mechanical properties through BIT

Numerical simulation with finite element and artificial neural network of ball indentation for mechanical property estimation

Understanding and elimination of process defects in narrow gap multi-pass fiber laser welding of ferritic steel sheets of 30 mm thickness

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