Numerical simulation of the electron beam welding process

Lacki, P.; Adamus, K.

doi:10.1016/j.compstruc.2011.01.016

Cited by 91 publications

(38 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The double ellipsoidal power density distribution illustrated by Goldak et al ((Goldak et al 1984)) is the base of many models proposed for its accurate characterization (e.g. (Rosenthal 1941), (Tian et al 2008), (Gajapathi et al 2011), (Rahman et al 2014) and (Lacki et al 2011)). This is mandatory, when the focus is the local-level analysis to study the thermal convection within the molten-pool.…”

Section: Remarkmentioning

confidence: 99%

Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. Part I: thermal analysis

Chiumenti

Lin

Cervera

et al. 2017

RPJ

106

View full text Add to dashboard Cite

Purpose This paper aims to address the numerical simulation of additive manufacturing (AM) processes. The numerical results are compared with the experimental campaign carried out at State Key Laboratory of Solidification Processing laboratories, where a laser solid forming machine, also referred to as laser engineered net shaping, is used to fabricate metal parts directly from computer-aided design models. Ti-6Al-4V metal powder is injected into the molten pool created by a focused, high-energy laser beam and a layer of added material is sinterized according to the laser scanning pattern specified by the user. Design/methodology/approach The numerical model adopts an apropos finite element (FE) activation technology, which reproduces the same scanning pattern set for the numerical control system of the AM machine. This consists of a complex sequence of polylines, used to define the contour of the component, and hatches patterns to fill the inner section. The full sequence is given through the common layer interface format, a standard format for different manufacturing processes such as rapid prototyping, shape metal deposition or machining processes, among others. The result is a layer-by-layer metal deposition which can be used to build-up complex structures for components such as turbine blades, aircraft stiffeners, cooling systems or medical implants, among others. Findings Ad hoc FE framework for the numerical simulation of the AM process by metal deposition is introduced. Description of the calibration procedure adopted is presented. Originality/value The objectives of this paper are twofold: firstly, this work is intended to calibrate the software for the numerical simulation of the AM process, to achieve high accuracy. Secondly, the sensitivity of the numerical model to the process parameters and modeling data is analyzed.

show abstract

Section: Remarkmentioning

confidence: 99%

Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. Part I: thermal analysis

Chiumenti

Lin

Cervera

et al. 2017

RPJ

106

View full text Add to dashboard Cite

show abstract

“…A variety of heat source models have been developed to present the keyhole effect and deep penetration phenomenon during electron beam welding such as segmented moving double ellipsoid heat source [25], conical body model [26], rotary Gaussian body model [27,28] and combined heat source model [29,30]. However, the electron beam was performed as non-melted heat source during rigid restraint TSCB, therefore Gaussian surface heat source model is more reasonable to reflect the heat transfer of electron beam in current work.…”

Section: Thermal Analysismentioning

confidence: 99%

Numerical Study on the Stress–Strain Cycle of Thermal Self-Compressing Bonding

Deng

Qiao

Tao

et al. 2018

Chin. J. Mech. Eng.

View full text Add to dashboard Cite

Thermal self-compressing bonding (TSCB) is a new solid-state bonding method pioneered by the authors. With electron beam as the non-melted heat source, previous experimental study performed on titanium alloys has proved the feasibility of TSCB. However, the thermal stress-strain process during bonding, which is of very important significance in revealing the mechanism of TSCB, was not analysed. In this paper, finite element analysis method is adopted to numerically study the thermal elasto-plastic stress-strain cycle of thermal self-compressing bonding. It is found that due to the localized heating, a non-uniform temperature distribution is formed during bonding, with the highest temperature existed on the bond interface. The expansion of high temperature materials adjacent to the bond interface are restrained by surrounding cool materials and rigid restraints, and thus an internal elasto-plastic stress-strain field is developed by itself which makes the bond interface subjected to thermal compressive action. This thermal self-compressing action combined with the high temperature on the bond interface promotes the atom diffusion across the bond interface to produce solid-state joints. Due to the relatively large plastic deformation, rigid restraint TSCB obtains sound joints in relatively short time compared to diffusion bonding.

show abstract

“…The annealing temperature option was used to simulate the loss of the hardening memory of the material. This was assumed to be 800°C for SUS316 stainless steel [11]. When the temperature of a material point is higher than the annealing temperature, the equivalent plastic strain is reset to zero.…”

Section: Fig 2 Views Of the Fe Mesh Showing The Transition From The mentioning

confidence: 99%

“…The heat source adopted to simulate the initial weld was the truncated cone power density distribution which is commonly chosen to simulate beam welding processes while the double ellipsoid was selected for the simulation of the TIG weld repair [10]. The geometric parameters of the heat sources were chosen to produce a plausible weld pool in both cases as shown in Figs.…”

Section: Fig 2 Views Of the Fe Mesh Showing The Transition From The mentioning

confidence: 99%

Numerical Simulation of Residual Stresses Induced by Weld Repair in a Stainless Steel Pipe Considering the Influence of an Initial Fabrication Weld

Salerno

Bennett

Sun

et al. 2016

Residual Stresses 2016

View full text Add to dashboard Cite

Abstract. This work presents the application of a finite element (FE) model developed to simulate the repair process in the case of components with a pre-existing stress state. The approach is tested in the case of a repair of a laser beam weld in a stainless steel pipe with the region of repair located in the heat affected zone of the original weld. The area of the repair is removed and refilled testing different approaches in terms of the number, and direction of the repair passes. The comparison between the refilling procedures is presented with the aim of evaluating the effects on the final residual stress distribution.

show abstract

Numerical simulation of the electron beam welding process

Cited by 91 publications

References 8 publications

Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. Part I: thermal analysis

Numerical simulation and experimental calibration of additive manufacturing by blown powder technology. Part I: thermal analysis

Numerical Study on the Stress–Strain Cycle of Thermal Self-Compressing Bonding

Numerical Simulation of Residual Stresses Induced by Weld Repair in a Stainless Steel Pipe Considering the Influence of an Initial Fabrication Weld

Contact Info

Product

Resources

About