On the performance of metallurgical behaviour of Stellite 6 cladding deposited on SS316L substrate with PTAW process

Калыанкар, В. Д.; Bhoskar, Avishkar; Deshmukh, D. D.; Patil, Sanjay

doi:10.1080/00084433.2022.2031681

Canadian Metallurgical Quarterly

2022

DOI: 10.1080/00084433.2022.2031681

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On the performance of metallurgical behaviour of Stellite 6 cladding deposited on SS316L substrate with PTAW process

В. Д. Калыанкар

Avishkar Bhoskar

D. D. Deshmukh³

et al.

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2023

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Cited by 28 publications

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“…and pure Cu in order to fill the research gap that has been identified. The past research [16][17][18][19][20][21][22][23][24] shows the application of RSM for welding processes. The RSM approach is most useful technique for analysis of welding charecteristics [25].…”

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confidence: 99%

Mechanical and Electrical Characterization of Friction Stir Welded Copper and Aluminum Alloys

Yugesh Anil Kharche, Santosh Rama Shekokar

2023

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Friction Stir Welding, often known as FSW, is a progressive solid state welding process that can be used to combine materials that are similar to one another as well as those that are completely unlike. The motivation behind this exploration is to provide an in-depth evaluation of FSW, with an accentuation on its applications in aluminum alloy welding. The fundamental ideas of FSW, the devices and hardware expected for the interaction, the benefits and drawbacks of FSW, and the different angles that effect weld quality will be generally explored. This paper covers a review that was directed to upgrade input boundaries to expand the rigidity, miniature hardness, and electrical resistivity. The micro hardness dissemination was most elevated in the weld joint's base zone, with lower readings in the center locale and middle readings on the top surface.

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confidence: 99%

Mechanical and Electrical Characterization of Friction Stir Welded Copper and Aluminum Alloys

Yugesh Anil Kharche, Santosh Rama Shekokar

2023

tjjpt

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Welding fault detection and diagnosis using one-class SVM with distance substitution kernels and random convolutional kernel transform

Melakhsou

Batton‐Hubert

Casoetto³

2023

Int J Adv Manuf Technol

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Welding defect detection is still often performed by the human visual inspection or with non destructive tests. These quality inspections methods can be time consuming and can have an important error rate. In this paper, we propose an approach for the detection of welding faults through the detection of abnormal subsequences of the welding voltage signal. The approach is based on the One-Class SVM with distance substitution kernels. The One Class-SVM has been used in many works for the detection of abnormal subsequences. However, often after transforming the subsequences into a set of features. Nevertheless, finding the relevant features for anomaly detection may be challenging. Dealing with the raw subsequences in distance-based approaches, on the other hand, are known to be effective and can generalize well to different problems but they often suffer from high computational cost, which may restrict their application, especially with the need of real time predictions in an industrial context. We show in this work that the One-Class SVM can be successfully used directly with the raw subsequences. This is achieved by employing distance substitution kernels. These class of kernels has not yet gained widespread adoption for time series anomaly detection. The results show that the approach is both accurate and fast, which makes it more suitable for real-time welding monitoring. We further propose an approach for automatic diagnosis of welding defects.

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Assessing thermal properties of multipass weld beads using active thermography: microstructural variations and anisotropy analysis

Sesana,

Santoro,

Curà

et al. 2023

Int J Adv Manuf Technol

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In the present paper, the results of a research focused on microstructure investigation of steel welded joints by means of non destructive thermographic technique are presented. In particular, two rough joints obtained by means of irregular manual welding are analyzed. Active lock in thermography phase analysis is applied, basing on the evidence that thermal diffusivity is related to the thermal diffusion length, using the phase contrast trend as a function of the distance from the laser spot. Diffusivity is expected to be dependent on the local microstructure and vary through different directions. By the variation in diffusivity, it is possible to investigate the level of anisotropy.The results are compared with micrographic analysis. The proposed method provides an active lock-in infrared thermography analysis by means of a thermal camera and an exciting laser head to evaluate thermal diffusivity.

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On the performance of metallurgical behaviour of Stellite 6 cladding deposited on SS316L substrate with PTAW process

Cited by 28 publications

References 37 publications

Mechanical and Electrical Characterization of Friction Stir Welded Copper and Aluminum Alloys

Mechanical and Electrical Characterization of Friction Stir Welded Copper and Aluminum Alloys

Welding fault detection and diagnosis using one-class SVM with distance substitution kernels and random convolutional kernel transform

Assessing thermal properties of multipass weld beads using active thermography: microstructural variations and anisotropy analysis

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