Effects of welding parameters on material flow behavior during linear friction welding of Ti6Al4V titanium alloy by numerical investigation

Ji, Shude; Wang, Yue; Liu, Jianguang; Meng, Xiangchen; Tao, Jun; Zhang, Tiancang

doi:10.1007/s00170-015-7408-4

Cited by 22 publications

(9 citation statements)

References 17 publications

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“…The basic Coulomb’s law has been widely used, with and without variable-dependencies, in LFW process modelling studies. 63,64,67–69,79,80 The focus on all friction models is the determination of friction stress via the friction coefficient. At low-stress levels, the classic Coulomb’s law can reasonably estimate friction conditions.…”

Section: Methodsmentioning

confidence: 99%

“…Multiple studies have reported a quadratic relationship between friction coefficient and temperature in the computational modelling of plastic contact during LFW. 39,49,67,69,79,80 However, the friction coefficient depends on other measurable variables, such as sliding velocity and contact pressure, besides temperature. This variable dependence can be expressed as a function given by where σn is the contact pressure, v s is the slip velocity, and T is the interface temperature between the contacting bodies.…”

Section: Methodsmentioning

confidence: 99%

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Thermomechanical modelling for the linear friction welding process of Ni-based superalloy and verification

Okeke

Harrison

Tong

2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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This paper presents a fully coupled thermomechanical model for the linear friction welding process of Inconel-718 nickel-based superalloy by using the finite element method. Friction heat, plastic work, and contact formulation were taken into account for two deformable plastic bodies oscillating relative to each other under large compressive force. The modelling results of the thermal history at the weldline interface and thermal field at a distance away from the rubbing surfaces were compared to instrumented data sourced from related publications for model verification. Optimal linear friction welding process parameters were identified via comparison of weld temperature to the liquidus temperature of Inconel-718 alloy. Comparison of interface temperature showed a consistent range of values above the solidus melting temperature (1250 ℃) and below the liquidus melting temperature (1360 ℃) of Inconel-718 alloy. For the first time, a visible linear friction welding process window is identified using a thermomechanical computational modelling method. Through computational modelling, the influence of welding process parameters on the heat transfer and deformation of weld was systematically investigated.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Thermomechanical modelling for the linear friction welding process of Ni-based superalloy and verification

Okeke

Harrison

Tong

2020

Proceedings of the Institution of Mechanical Engineers, Part L:

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“…Similarly, in Fig.3c, it can be observed that some mass of Ti17 penetrated in the Ti64 side. This phenomenon is well known in the LFW literature as material flow [37] but, in addition to this, some diffusion may occur. This is particularly important for a dissimilar Ti17-Ti64 joint because the alloying elements of each side of the weld are different.…”

Section: Flash Morphology and Weld Microstructure Of The Ground-weldementioning

confidence: 93%

“…They consist in verifying if a certain set of welding parameters accomplishes the effective extrusion of tracking points at the weld interface by the end numerical simulations of the welding process [36,37,38,39]. Their limitations seem nonetheless to be that the tracking points bear the physical properties of the PM, instead of bearing those of the contaminants.…”

Section: Defect Layer Welding Parameters and Surface Preparationmentioning

confidence: 99%

“…Optimized welding parameters favour the effective extrusion of contaminants outside the weld interface into the flash [35]. Several authors have studied this issue by the use of numerical tools [36,37,38,39]. Tracking points in the weld interface are followed during simulations of the welding process to determine the efficiency of the welding parameters in terms of contaminants removal.…”

Section: Introductionmentioning

confidence: 99%

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Strength, fatigue strength and toughness of dissimilar Ti17–Ti64 linear friction welded joints: Effect of soft surface contamination and depletion of α precipitates

García

Esin

Morgeneyer

2021

Materials Science and Engineering: A

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The effect of microstructure of three dissimilar Ti17-Ti64 linear friction welded joints on the strength, fatigue strength and fracture toughness was studied. A special attention was paid to role of soft contaminants and α precipitate depletion. Three joints were produced: one in the as machined state after electrical discharge machining, one ground prior to welding, and one welded in the as machined state and post-weld heat treated. The microstructure of the weld centre zone (WCZ) exhibited an acicular entangled α martensite with a Widmanstätten morphology on the Ti64 side and fine equiaxed distorted β grains on the Ti17 side. A depletion of the strengthening α precipitates was observed in the WCZ and the thermo-mechanically affected zone (TMAZ) on the Ti17 side. For the studied welding parameters, the LFW selfcleaning mechanism failed to extrude the contaminants in the weld interface of the joint welded in the as machined state. These contaminants were related to prior to welding machining and were denominated soft contaminants due to their relatively low melting point. A defect layer was formed that led to a pseudo-brittle fracture in at the WCZ during tensile testing, cyclic loading and fracture toughness testing. During tensile testing of the joint that was ground prior to welding, failure occurred sometimes at the Ti64 parent material (PM) and sometimes at the Ti17 TMAZ. Fatigue cracks initiated at the latter weak zone with a reduced fatigue strength. Compared to the PM, fracture toughness of samples even without fatigue pre-crack was also reduced. Failure at the weak zone highlighted unexpected colonies of elongated dimples that nucleated on transgranular deformation bands.

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Friction Welding

Akinlabi¹,

Mahamood²

2020

Mechanical Engineering Series

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Effects of welding parameters on material flow behavior during linear friction welding of Ti6Al4V titanium alloy by numerical investigation

Cited by 22 publications

References 17 publications

Thermomechanical modelling for the linear friction welding process of Ni-based superalloy and verification

Thermomechanical modelling for the linear friction welding process of Ni-based superalloy and verification

Strength, fatigue strength and toughness of dissimilar Ti17–Ti64 linear friction welded joints: Effect of soft surface contamination and depletion of α precipitates

Friction Welding

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