Investigation of Acceleration Effect on the Flexural Strength of Vibratory Dissimilar Welded Joints

Kalpana, J.; Rao, P. Srinivasa; Rao, P. Govinda

doi:10.1166/mat.2017.1388

Cited by 2 publications

(2 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The high cost and time required for using destructive test methods has made the NDE a sought-after technique for many industries [8,9]. Furthermore, since some parts of the Industrial Revolution 4.0 are gaining Processes 2022, 10, 1923 2 of 11 traction both in the manufacturing and the oil and gas industry lately [10,11]. It is believed, therefore, that innovation in the management and implementation of the NDE techniques, especially for welding technology, will greatly impact the concept [12].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Intelligent Model for the Classification, Identification, and Determination of Data Clusters and Defect Location in a Welded Joint

2022

View full text Add to dashboard Cite

In this paper, a data-driven approach that is based on the k-mean clustering and local outlier factor (LOF) algorithm has been proposed and deployed for the management of non-destructive evaluation (NDE) in a welded joint. The k-mean clustering and LOF model algorithm, which was implemented for the classification, identification, and determination of data clusters and defect location in the welded joint datasets, were trained and validated such that three (3) different clusters and noise points were obtained. The noise points, which are regarded as the welded joint defects/flaws, allow for the determination of the cluster size, heterogeneity, and silhouette score of the welded joint data. Similarly, the LOF model algorithm was implemented for the detection, visualization, and management of flaws due to internal cracks, porosity, fusion, and penetration in the welded joint. It is believed that the management of welded joint flaws would aid the actualization of the Industry 4.0 concept in the development of lightweight products for manufacturing.

show abstract

Section: Introductionmentioning

confidence: 99%

Data-Driven Intelligent Model for the Classification, Identification, and Determination of Data Clusters and Defect Location in a Welded Joint

2022

View full text Add to dashboard Cite

show abstract

“…The mechanical properties which are produced under the effect of excitations are validated with the finite element analysis. J. Kalpana et.al [5][6] introduced another new technique i.e., metal engravers to enhance the weld joint mechanical properties of the welded joints by. Here the dissimilar metals were considered for welding process.…”

Section: Introductionmentioning

confidence: 99%

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Rao*,

Prasad,

Suresh

2019

IJITEE

View full text Add to dashboard Cite

Welding plays a major role in modern technology. During welding, a portion of the specimen is subjected to heating. Because of different heating and cooling cycles of the specimen, residual stresses induced in the specimen i.e., mechanical properties gets reduced. To enhance the mechanical properties there are different techniques are available i.e., thermal and non-thermal methods. Vibratory welding is the one of the non-thermal method; mechanical properties of steel specimens are analyzed under with and without vibrations under different power source condition. In this paper input parameters which are considered is straight polarity, reverse polarity and alternate current. Tensile and hardness property of the steel specimen are analyzed and compared with the without vibratory condition.

show abstract

Investigation of Acceleration Effect on the Flexural Strength of Vibratory Dissimilar Welded Joints

Cited by 2 publications

References 0 publications

Data-Driven Intelligent Model for the Classification, Identification, and Determination of Data Clusters and Defect Location in a Welded Joint

Data-Driven Intelligent Model for the Classification, Identification, and Determination of Data Clusters and Defect Location in a Welded Joint

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Contact Info

Product

Resources

About