Numerical simulation of temperature field and residual stress in multi-pass welds in stainless steel pipe and comparison with experimental measurements
By Dean Deng, Hidekazu Murakawa. 2006
675 citations recorded by the source corpus.
Subfields: Mechanical Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/c4ffe915758f6571e4d25990cd4cb4b41ee8d42a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Mechanical Engineering
- T. Mukherjee
- T. DebRoy
- Wei Zhang
- Carlos Agelet de Saracibar
- Chris Davies
- I. Sattari-far
- Miguel Cervera
- J. Moya
In Mechanics of Materials
- Miguel Cervera
- Michele Chiumenti
- Carlos Agelet de Saracibar
- Chris Davies
- I. Sattari-far
- T. Mukherjee
- Alessandro Salmi
- Wei Zhang
Citations in the corpus
- Finite element modeling of multi-pass welding and shaped metal deposition processes (2010, methodology): “The welding data, the process parameters, as well as the material characterization have been obtained from the experimental setting described in [25].”
- Numerical modelling and experimental validation in Selective Laser Melting (2017, methodology): “Many researchers have already used the Finite-Element (FE) method to analyse metal deposition processes in AM with different technologies [1, 2, 11, 22, 28, 29, 36, 45], often taking advantage from the knowledge acquired in modelling other metal forming processes, such as casting or welding [3, 5, 1”
- Using finite element and ultrasonic method to evaluate welding longitudinal residual stress through the thickness in austenitic stainless steel plates (2013, background): “Linear elements are preferred than higher-order elements in nonlinear problems of this type [16].”
- Influence of welding sequence on welding distortions in pipes (2008, background): “Linear elements are preferred than higher-order elements in non-linear problems of this type [21].”
- An improved prediction of residual stresses and distortion in additive manufacturing (2017, methodology): “Temperature-dependent plasticity with the von Mises yield criterion [5] is utilized to model the flow stress and plastic strain.”