Estimation of Vickers hardness uncertainty for a heterogeneous welded joint (S235JR+AR and X2CrNiMo17-12-2)

Dijmarescu, Maria Cristina; Dijmărescu, Manuela Roxana

doi:10.1088/1757-899x/227/1/012035

Cited by 3 publications

(5 citation statements)

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“…In this case, the standard deviation was between 1.36% and 16.14% and the standard measurement uncertainty varied from 0.30% to 3.61%. For the hardness measurements, the source of uncertainty can be categorized as test specimen (preparation, parallelism, and surface aspect), testing means (measurement for the diagonal of indentation), test environment (temperature and dirt), and the operator [65].…”

Section: Resultsmentioning

confidence: 99%

A Prediction Model for Additive Manufacturing of Inconel 718 Superalloy

et al. 2021

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Inconel 718 is a nickel-based superalloy and an excellent candidate for the aerospace, oil, and gas industries due to its high strength and corrosion resistance properties. The machining of IN718 is very challenging; therefore, the application of additive manufacturing (AM) technology is an effective approach to overcoming these difficulties and for the fabrication of complex geometries that cannot be manufactured by the traditional techniques. Selective laser melting (SLM), which is a laser powder bed fusion method, can be applied for the fabrication of IN718 samples with high accuracy. However, the process parameters have a high impact on the properties of the manufactured samples. In this study, a prediction model is developed for obtaining the optimal process parameters, including laser power, hatch spacing, and scanning speed, in the SLM process of the IN718 alloy. For this purpose, artificial neural network (ANN) modeling with various algorithms is employed to estimate the process outputs, namely, sample height and surface hardness. The modeling results fit perfectly with the experimental output, and this consequently proves the benefit of ANN modeling for predicting the optimal process parameters.

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Section: Resultsmentioning

confidence: 99%

A Prediction Model for Additive Manufacturing of Inconel 718 Superalloy

et al. 2021

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“…The Manson-Coffin equation considers the contributions to fatigue damage of the elastic and plastic parts, in which the relation of total strain range and lifetime N f is expressed by [27]…”

Section: Lifetime Modelmentioning

confidence: 99%

“…The Manson–Coffin equation considers the contributions to fatigue damage of the elastic and plastic parts, in which the relation of total strain range Δ ϵ and lifetime N f is expressed by [27] where , b , , c are the fatigue strength coefficient, fatigue strength exponent, fatigue ductility coefficient, and fatigue ductility exponent, respectively.…”

Section: Constitutive Model and Lifetime Modelmentioning

confidence: 99%

Stress analysis and lifetime prediction for Ti–6Al–4V welding joint under fatigue loading

Liu¹,

Xia²,

Song

et al. 2021

Materials Science and Technology

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A welded joint has a complex gradient microstructure. The effects of local deformation in the fusion zone, heat-affected zone (HAZ), and other areas, on the macroscopic fatigue properties of an inhomogeneous welded joint, are not fully understood. Thus, it is necessary to correlate the microstructural features and their related local deformation mechanisms with macroscopic fatigue properties. In this study, cyclic stress–strain curves and lifetime model parameters of materials in different HAZs were determined by hardness distribution and base–metal material properties. A user element subroutine was developed in the elastic–plastic finite element analysis to obtain the local stress and strain in the joint. ‘Danger points’ were selected to predict fatigue lifetime with the Manson–Coffin damage equation. The prediction results agreed closely with experimental observations within the low-cycle fatigue lifetime regime. Highlights A new LCF life analysis method, for coated specimens, was developed based on the fracture mechanics. Life prediction method for coated specimens was proposed and verified by LCF tests. Coating-induced lifetime degradation was analysed quantitatively at different temperatures. Effects of stress amplitude on the surface crack initiation were investigated.

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“…• reporting the result. When reporting the result of a measurement, an indication of its quality should also be provided so that those who will use it later can assess its credibility [2,[12][13].…”

Section: Measurement Uncertainty Estimationmentioning

confidence: 99%

“…• variations in repeated observations of the measurand under identical conditions. In order to establish the necessary mathematical steps and relationships, it is necessary to identify and characterize the main factors that influence the outcome of a measurement and the steps to be followed [ 6,12].…”

Section: Measurement Uncertainty Estimationmentioning

confidence: 99%

Benefits of implementing IT tools and procedures for the estimation and measurement uncertainty in testing laboratories

Dijmarescu¹

2020

Technium

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Destructive and non-destructive testing of materials present a rapid expansion given by the increase in market demand caused by the desire to obtain an increasingly better quality of products. The continuous increase in quality demands leads directly to the need to implement and modernize the techniques, methods, and equipment used for quality control. Consequently, the need for product testing services has a rapid growth. This paper presents the strength and weaknesses of implementing IT tools for the estimation of the measurement uncertainty in testing laboratories and the impact of these tools on the economic part

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Estimation of Vickers hardness uncertainty for a heterogeneous welded joint (S235JR+AR and X2CrNiMo17-12-2)

Cited by 3 publications

References 0 publications

A Prediction Model for Additive Manufacturing of Inconel 718 Superalloy

A Prediction Model for Additive Manufacturing of Inconel 718 Superalloy

Stress analysis and lifetime prediction for Ti–6Al–4V welding joint under fatigue loading

Benefits of implementing IT tools and procedures for the estimation and measurement uncertainty in testing laboratories

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