Classification and identification of surface defects in friction stir welding: An image processing approach

Ranjan, Ravi; Khan, Aaquib Reza; Parikh, Chirag R.; Jain, Rahul; Mahto, Raju Prasad; Pal, Srikanta; Pal, Surjya K.; Chakravarty, Debashish

doi:10.1016/j.jmapro.2016.03.009

Cited by 93 publications

(25 citation statements)

References 21 publications

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“…Ranjan et al 2016 [12] have studied for defect-free weld and mainly focused on surface defects during the FSW process. They have used digital image processing techniques to identify suraface defect using image pyramid and image reconstruction algorithms.…”

Section: Surface Defectsmentioning

confidence: 99%

A Review paper on Friction Stir Welding (FSW)

Dewangan¹,

Chakrawarti²

2020

RJET

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Friction Stir Welding (FSW) is a new solid-state welding technique which finds application in various industries. It involves the joining of metals without any help of fusion or filler material. The joint between two metals can be formed through the combined action of frictional heating and mechanical deformation which is developed due to a rotating tool. The material that flows around the tool undergoes an extreme level of plastic deformation. Rotation generates enough friction and the friction generates sufficient heat to plastify the material. FSW is handy for welding aluminum alloys. However, interest is growing in utilizing the process in a wider range of applications that also employ non aero engine metallic materials. Therefore, it is the objective of this to provide a broad view of the capabilities of the FSW process for joining metals. This review article covers various work performed on friction stir welding, and the basics of the process and the fundamental aspects of operating an FSW. This includes a description of the different parameters that have been involved in this process. And also studied the material flow, forces, and other output responses, including defects, and strain rates that is produced.

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Section: Surface Defectsmentioning

confidence: 99%

A Review paper on Friction Stir Welding (FSW)

Dewangan¹,

Chakrawarti²

2020

RJET

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“…Welds with a pitch of over 0.8 tend to have internal defects such as worm-holes, voids, and incomplete welds. More detail on defect classification and detections is available from [49][50][51][52][53]. Inspection of the response surface suggests that the optimal process parameters that will minimize the defects will be located at the apex of the surface.…”

Section: Optimal Process Parametersmentioning

confidence: 99%

Optimization of Friction Stir Weld Joint Quality Using a Meshfree Fully-Coupled Thermo-Mechanics Approach

Fraser

Kiss

St-Georges

et al. 2018

Metals

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Abstract:There is currently a need for an efficient numerical optimization strategy for the quality of friction stir welded (FSW) joints. However, due to the computational complexity of the multi-physics problem, process parameter optimization has been a goal that is out of reach of the current state-of-the-art simulation codes. In this work, we describe an advanced meshfree computational framework that can be used to determine numerically optimized process parameters while minimizing defects in the friction stir weld zone. The simulation code, SPHriction-3D, uses an innovative parallelization strategy on the graphics processing unit (GPU). This approach allows determination of optimal parameters faster than is possible with costly laboratory testing. The meshfree strategy is firstly outlined. Then, a novel metric is proposed that automatically evaluates the presence and severity of defects in the weld zone. Next, the code is validated against a set of experimental results for 1 /2" AA6061-T6 butt joint FSW joints. Finally, the code is used to determine the optimal advancing speed and rpm while minimizing defect volume based on the proposed defect metric.

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“…Moreover, with an inconsistent concentration of the micro-size particle in relatively high tag area (in a few square centimetres), numerous tags can be printed with a very low probability of reproducing the same particle positioning again. The particle distribution on the secured tag is located using image-processing tools that are frequently used in surface classification and identification technologies (one such example can be found in [46]). Further, two distinct features (strong particle clusters and empty areas location, further explained in the 'Methodology' section) were extracted using particle locations and encoded to form the secure code.…”

Section: Designmentioning

confidence: 99%

A secured tag for implementation of traceability in textile and clothing supply chain

Agrawal

Koehl

Campagne

2018

Int J Adv Manuf Technol

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Textile and clothing industry is one of the oldest manufacturing industries and is a major contributor in the economic growth of developing countries. However, from past few decades, it has been criticised for its opaque, unsecured and untraceable nature of supply chain. Addressing these challenges, the paper proposes a system approach to introduce an item-centric secured traceability concept to monitor and control manufacturing processes and supply chain activities. In order to implement such secured traceability system, the paper describes the process for manufacturing, encoding and validating an innovative two-factor secured tag based on particle randomness that is printed on the surface of textile. Being micro-sized, the particles are easy to read and validate with pattern recognition. Further, as achieved through an uncontrolled manufacturing process, the randomness is unclonable to produce counterfeit tags. Furthermore, a sequence of experimental analyses has been conducted using various simulated scenarios to verify its applicability. A secured tag can be a low-cost and durable substitute for detachable, unsecured identifiers commercially available in the market.

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Classification and identification of surface defects in friction stir welding: An image processing approach

Cited by 93 publications

References 21 publications

A Review paper on Friction Stir Welding (FSW)

A Review paper on Friction Stir Welding (FSW)

Optimization of Friction Stir Weld Joint Quality Using a Meshfree Fully-Coupled Thermo-Mechanics Approach

A secured tag for implementation of traceability in textile and clothing supply chain

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