An overview on characteristics and performance of ultrasonic welding process on different materials

Jasmin, N. Mary; Lewise, K. Anton Savio; Raguraman, D.; Muthtamilselvan, M.; Aditya, S.S.V.S.; Reddy, T. S.; Krishna, S. Hari; Subbiah, Ram

doi:10.1016/j.matpr.2021.09.096

Cited by 6 publications

(2 citation statements)

References 30 publications

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“…Recently, and especially in the last decade, the applications of ultrasound waves have expanded significantly. Among the applications of high-power ultrasound, welding [1], machining [2], forming [3], ultrasonic surgical tools, and homogenization can be mentioned. Considering the broad applications of ultrasound technology in different fields and the need to perform different modeling in the design stage, it is better to do this with maximum accuracy.…”

Section: Introductionmentioning

confidence: 99%

Performance characteristics of an ultrasonic homogenizer by analytical, numerical and experimental methods

Saber Jahromi,

Abedini,

Fartashvand

2024

J Braz. Soc. Mech. Sci. Eng.

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The following paper discusses the modeling of an ultrasonic homogenizer, and the characteristics obtained from the modeling and the results of experimental tests are examined and compared. Analytical solution method, electromechanical equivalent circuit, and finite element simulation can be used in designing and modeling an ultrasonic tool. This paper aims to compare three modeling methods to obtain the advantages and applications of each one. Experimental tests such as measuring the amplitude of the vibration using the inductive gap sensor and impedance test to calculate the impedance value in a frequency range have also been carried out. Finally, the data obtained from the experimental tests have been compared with the modeling results. A comparison of the results shows that for the design of an ultrasonic tool, design parameters such as resonance frequency and amplitude output of the tool can be obtained with good accuracy using modeling. The finite element method is a powerful tool for designing and modeling the ultrasonic system and determining its modal and harmonic characteristics .

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Section: Introductionmentioning

confidence: 99%

Performance characteristics of an ultrasonic homogenizer by analytical, numerical and experimental methods

Saber Jahromi,

Abedini,

Fartashvand

2024

J Braz. Soc. Mech. Sci. Eng.

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“…Moreover, these wide applications are increasing with the development of technologies [1]. Joining processes such as brazing [2,3], soldering [4,5], arc welding [6,7], laser welding [8,9], hybrid welding [10,11], electron beam welding [12,13], resistance welding [14,15], ultrasonic welding [16,17], friction crush welding [18,19] and other types of welding processes have been covered in literature. Arc welding processes among all these processes appear as not recommended processes for obtaining felicitous dissimilar welds such as Al-steel based on features of the arc-induced melting and hardening process such as the evolution of brittle intermetallic compounds (IMCs) [20].…”

Section: Introductionmentioning

confidence: 99%

A Review on the Friction Stir Brazing for Joining Dissimilar Materials

Subhi

2022

IJOIR

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Friction stir brazing (FSB) is a new technology developed for its ability to join similar and dissimilar metals and alloys resulting in a joint with considerable characteristics through the use of interlayer (braze) material under the action of a pinless rotating tool and other FSB parameters. The frictional heat during FSB is responsible for the melting of the braze material between the two workpieces, while the shoulder action must be satisfactory for the extrusion of the excess braze liquid phase depending on the FSB parameters used. The parameters of FSB also have a considerable impact on the microstructure and mechanical characteristics of friction stir brazed (FSBed) joints. Sound interfacial bonding can be observed in the central zone of FSBed joints, where intermetallic compounds (IMCs) can be formed by direct diffusion among the dissimilar workpieces after extrusion of liquid phase rather than by mechanical mixing or solidification of braze material. Increasing the transverse speed at a constant rotational speed has an influence on the peak temperature, but it remarkably reduces the holding time owing to the increased cooling rate. The use of vibration in the FSB increments the fluidity of the molten braze material among the joining workpieces resulting in a more homogeneous distribution of IMCs particles. In this review article, FSB parameters, bonding mechanisms, as well as the microstructure, and mechanical properties of FSBed joints are reviewed.

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FEM-driven machine learning approach for characterizing stress magnitude, peak temperature and weld zone deformation in ultrasonic welding of metallic multilayers: application to battery cells

Al-Matarneh

2024

Modelling Simul. Mater. Sci. Eng.

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This study investigates the innovative application of machine learning (ML) models to predict critical parameters—stress magnitude (SM), peak temperature (PT), and plastic strain (PS)—in ultrasonic welding of metallic multilayers. Extensive numerical simulations were employed to develop and evaluate three ML models: Radial Basis Function (RBF), Random Forest (RF), and Kernel Ridge Regression (KRR). According to the results, the KRR model demonstrated superior performance, achieving the lowest RMSE and highest R² values of 0.068 (R² = 0.941) for SM, 0.075 (R² = 0.929) for PT, and 0.071 (R² = 0.946) for PS, with fewer data samples required. KRR also exhibited low squared bias and variance values, ranging from 1×〖10〗^(-4)-3.2×〖10〗^(-4) for bias and 2.2×〖10〗^(-4)-3.6×〖10〗^(-4) for variance, indicating its precision in predicting the output targets. Moreover, the systematic categorization of input features, including material properties, geometrical factors, and welding parameters, highlighted their significant influence on predictive accuracy, particularly the crucial role of welding parameters at higher output values. Finally, a case study on ultrasonic welding of copper multilayers underscores the model's effectiveness in unraveling complex relationships, providing a robust tool for optimizing and advancing ultrasonic welding processes.

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An overview on characteristics and performance of ultrasonic welding process on different materials

Cited by 6 publications

References 30 publications

Performance characteristics of an ultrasonic homogenizer by analytical, numerical and experimental methods

Performance characteristics of an ultrasonic homogenizer by analytical, numerical and experimental methods

A Review on the Friction Stir Brazing for Joining Dissimilar Materials

FEM-driven machine learning approach for characterizing stress magnitude, peak temperature and weld zone deformation in ultrasonic welding of metallic multilayers: application to battery cells

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