Interfacial bonding mechanism in Al/coated steel dissimilar refill friction stir spot welds

Shen, Zhikang; Ding, Yifan; Chen, J.; Amirkhiz, Babak Shalchi; Wen, John Z.; Fu, Li; Gerlich, A.P.

doi:10.1016/j.jmst.2019.01.001

Cited by 71 publications

(27 citation statements)

References 60 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For FSpW welds of Al alloy to Zn-coated steel, a solid-liquid structure was produced, which was possibly induced by Zn melting and the dissolution of Mg-Al into Zn liquid [28]. Shen et al [29] fabricated FSpW welds of Al/Zn-coated steel and Al/AlSi-coated steel welds. Their results showed that Al-Zn eutectic layers with varied thickness were formed at the joint interface.…”

Section: Al/steel Dissimilar Alloy Weldmentioning

confidence: 99%

Refill Friction Stir Spot Welding of Similar and Dissimilar Alloys: A Review

Feng

Tang

et al. 2019

Acta Metall. Sin. (Engl. Lett.)

View full text Add to dashboard Cite

Refill friction stir spot welding, also known as friction spot welding (FSpW), is a solid-state welding process suitable for spot joining of lightweight materials. Through the efforts of improving joint quality for similar and dissimilar materials, for example, aluminum and magnesium, this joining technology is well developed. The joining mechanism and process characteristics of FSpW have been widely studied. However, the application of FSpW in industry has not been entirely successful. In this review article, the research of similar and dissimilar material joints, such as, Al/Cu, Al/Ti, Al/Mg and Al/ Steel, is summarized. The microstructural features and mechanical properties of the joints, welding tool and the application development are discussed in detail.

show abstract

Section: Al/steel Dissimilar Alloy Weldmentioning

confidence: 99%

Refill Friction Stir Spot Welding of Similar and Dissimilar Alloys: A Review

Feng

Tang

et al. 2019

Acta Metall. Sin. (Engl. Lett.)

View full text Add to dashboard Cite

show abstract

“…In particular, through the refill Friction Stir Spot Welding (refill FSSW) process, numerous solidification problems such as pores and cracks are avoided and high-quality joining of materials that are even considered as "unweldable" are enabled. The refill FSSW process was developed and patented by Helmholtz-Zentrum Geesthacht (HZG) [2,3] and many different material combinations in similar [4,5] and dissimilar joint configurations, such as Al/Mg [6,7], Al/steel [8,9] and Al/Ti [10,11], were already welded.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data

Bock¹,

Paulsen²,

Brkovic³

et al. 2021

Esaform 2021

View full text Add to dashboard Cite

The high-potential of lightweight components consisting of similar or dissimilar materials can be exploited by Solid-State Joining techniques. Whereas defects such as pores and hot cracking are often an issue in fusion-based joining processes, via solid-state joining processes they can be avoided to enable high-quality welds. To define an optimal process window for obtaining anticipated joint properties, numerous time and cost consuming experiments are usually required. Building a predictive model based on regression analysis enables the identification and quantification of process-property relationships. On the one hand, mechanical property and performance predictions based on specific process parameters are needed, on the other hand, inverse determination of required process parameters for reaching desired properties or performances are demanded. If these relations are obtained, optimized process parameter sets can be identified while vast numbers of required experiments can be reduced, as underlying physical mechanisms are utilized. In this study, different regression analysis algorithms, such as linear regression, decision trees and random forests, are applied to the refill Friction Stir Spot Welding process for establishing correlations between process parameters and joint properties. Experimental data sets used for training and testing are based on a Box-Behnken Design of Experiments (DoE) and additional test experiments, respectively. The machine-learning based regression analyses are benchmarked against linear regression and DoE statistics. The results illustrate a decryption of relationships along the process-property chain and its deployment to predict mechanical properties governed by process parameters.

show abstract

“…But zinc coating layer makes the surface characteristics of galvanized steel different from that of non-galvanized steel. These zinc coating layers are easy to damage in severe plastic deformation under external pressure and sliding friction [4][5][6]. It will also affect the formation of welding joints of stamping parts [7].…”

Section: Introductionmentioning

confidence: 99%

Mechanical Behavior and Damage of Zinc Coating for Hot Dip Galvanized Steel Sheet DP600

Gui

Long

2020

Coatings

View full text Add to dashboard Cite

Advanced high strength galvanized steel sheet has been one of the dominant materials of modern automotive panels because of its outstanding mechanical properties and corrosion resistance. The zinc coating thickness of hot dip galvanized steel sheet is only about 10–20 μm, which is a discarded object on the macro level. However, it is obvious to damage and impact on stamping performance. Therefore, this paper takes zinc coating as the research object and builds its mechanical constitutive model based on a nano-indentation test and dimensional analysis theory. We separated the zinc coating from the galvanized steel substrate and constructed a sandwich material model by introducing a cohesive layer to connect the zinc coating and the steel substrate. We obtained the interface binding energy between the zinc coating and the steel substrate through the nano-scratch test. The accuracy of the model is verified by the finite element analysis of hemispherical parts. We used the five-layers element model with 0 thickness cohesive layer to simulate the zinc coating damage of galvanized steel sheet. The hemispherical part drawing experiment is used to verify the feasibility of the finite element analysis results. The results demonstrate that it is more accurate to consider the finite element numerical simulation of the zinc coating, introducing the cohesive element to simulate damage between the coating and the substrate. Drawing depth, stamping force, and the strain of the numerical simulation are closer to the experimental results.

show abstract

Interfacial bonding mechanism in Al/coated steel dissimilar refill friction stir spot welds

Cited by 71 publications

References 60 publications

Refill Friction Stir Spot Welding of Similar and Dissimilar Alloys: A Review

Refill Friction Stir Spot Welding of Similar and Dissimilar Alloys: A Review

Evaluation of mechanical property predictions of refill Friction Stir Spot Welding joints via machine learning regression analyses on DoE data

Mechanical Behavior and Damage of Zinc Coating for Hot Dip Galvanized Steel Sheet DP600

Contact Info

Product

Resources

About