Evidence map›Paper›PMID 36614639›Full record

ArticleMaterials (Basel, Switzerland)2022

Material Defects in Friction Stir Welding through Thermo-Mechanical Simulation: Dissimilar Materials with Tool Wear Consideration.

Debtanay Das, Swarup Bag, Sukhomay Pal, Abhay Sharma

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Debtanay DasDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.ORCID 0000-0003-2019-903X
Swarup BagDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.ORCID 0000-0003-2553-831X
Sukhomay PalDepartment of Mechanical Engineering, Indian Institute of Technology Guwahati, Guwahati 781039, India.
Abhay SharmaFaculty of Engineering Technology, KU Leuven, Campus De Nayer, 2860 Sint-Katelijne-Waver, Belgium.ORCID 0000-0001-7069-3621

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the remarkable capabilities of friction stir welding (FSW) in joining dissimilar materials, the numerical simulation of FSW is predominantly limited to the joining of similar materials. The material mixing and defects' prediction in FSW of dissimilar materials through numerical simulation have not been thoroughly studied. The role of progressive tool wear is another aspect of practical importance that has not received due consideration in numerical simulation. As such, we contribute to the body of knowledge with a numerical study of FSW of dissimilar materials in the context of defect prediction and tool wear. We numerically simulated material mixing and defects (surface and subsurface tunnel, exit hole, and flash formation) using a coupled Eulerian-Lagrangian approach. The model predictions are validated with the experimental results on FSW of the candidate pair AA6061 and AZ31B. The influence of tool wear on tool dimensions is experimentally investigated for several sets of tool rotations and traverse speeds and incorporated in the numerical simulation to predict the weld defects. The developed model successfully predicted subsurface tunnel defects, surface tunnels, excessive flash formations, and exit holes with a maximum deviation of 1.2 mm. The simulation revealed the substantial impact of the plate position, on either the advancing or retreating side, on the defect formation; for instance, when AZ31B was placed on the AS, the surface tunnel reached about 50% of the workpiece thickness. The numerical model successfully captured defect formation due to the wear-induced changes in tool dimensions, e.g., the pin length decreased up to 30% after welding at higher tool rotations and traverse speeds, leading to surface tunnel defects.

Indexed as

CEL approachdefects in FSWdissimilar weldingfinite element modelfriction stir weldingsolid state joining

Identifiers

PMID36614639
PMCPMC9821955

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.