A New Crack Propagation Algorithm Combined with the Finite Element Method

Ramalho, L.D.C.; Belinha, J.; Campilho, R.D.S.G.

doi:10.1017/jmech.2020.1

Cited by 8 publications

(4 citation statements)

References 53 publications

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“…If the simulation consistently predicts the result of the experiment [ 52 ], then the simulation is an experiment; the experimental work can be replaced by a validated simulation procedure to create a large database for AI training and obtain a small and accurate AI model for reliability life cycles prediction. Once we obtain the final AI model for a new WLP structure, developers can simply input the WLP geometries, and then the life cycle can be obtained.…”

Section: Finite Element Methods For Wlpmentioning

confidence: 99%

An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging

et al. 2021

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Several design parameters affect the reliability of wafer-level type advanced packaging, such as upper and lower pad sizes, solder volume, buffer layer thickness, and chip thickness, etc. Conventionally, the accelerated thermal cycling test (ATCT) is used to evaluate the reliability life of electronic packaging; however, optimizing the design parameters through ATCT is time-consuming and expensive, reducing the number of experiments becomes a critical issue. In recent years, many researchers have adopted the finite-element-based design-on-simulation (DoS) technology for the reliability assessment of electronic packaging. DoS technology can effectively shorten the design cycle, reduce costs, and effectively optimize the packaging structure. However, the simulation analysis results are highly dependent on the individual researcher and are usually inconsistent between them. Artificial intelligence (AI) can help researchers avoid the shortcomings of the human factor. This study demonstrates AI-assisted DoS technology by combining artificial intelligence and simulation technologies to predict wafer level package (WLP) reliability. In order to ensure reliability prediction accuracy, the simulation procedure was validated by several experiments prior to creating a large AI training database. This research studies several machine learning models, including artificial neural network (ANN), recurrent neural network (RNN), support vector regression (SVR), kernel ridge regression (KRR), K-nearest neighbor (KNN), and random forest (RF). These models are evaluated in this study based on prediction accuracy and CPU time consumption.

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Section: Finite Element Methods For Wlpmentioning

confidence: 99%

An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging

et al. 2021

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“…Many approaches are based on computationally demanding physical modeling of crack formation and propagation followed by fragmentation of the solid body [5][6][7]. An interactive method for modeling cracks and fragmentation, based on the determination of some regularities and parameters that provide control of the calculation procedure, is also widely used [8][9][10]. As a rule, to establish vibration diagnostic signs of the presence of a crack in machine elements, its "breathing" is taken into account [2,3,11].…”

Section: Introductionmentioning

confidence: 99%

Modeling of contact interaction of crack banks based on finite element schemes

Lukashevich

2024

E3S Web Conf.

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The problems of modeling the formation and propagation of cracks are relevant in a variety of applied fields: dynamics and strength of machines and mechanisms, mechanics of structural materials and structures, etc. When describing the fracture process, in addition to the fracture criteria, it is also important to correctly take into account changes in the rheology of the destroyed material, including the contact interaction between the surfaces of the cracks and fragments formed. This paper proposes a technique for calculating the stress-strain state of cracked bodies taking into account the contact interaction of crack banks in the normal direction. The technique is based on the transformation of a finite element grid with the introduction of double nodes, as well as an iterative algorithm for determining the contact zones of the crack banks. An example of calculating deformations of a shaft with a crack under the action of body weight at different angular positions of the shaft is given.

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“…Among the approaches based on the use of the finite element destruction and fragmentation models, one can also a mention should be made about the work [8], where the proposed algorithm iteratively expands the crack until the threshold maximum length is reached. In [9], crack propagation is performed by separating the mesh nodes along the most stressed sides.…”

Section: Introductionmentioning

confidence: 99%

Numerical modeling of crack formation and propagation using contact elements

Lukashevich

Lukashevich²

2023

E3S Web Conf.

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The work is devoted to modeling the process of formation, development and propagation of cracks. Currently, there is a large number of physical and mechanical-mathematical models describing the process of destruction of various materials. In addition to the fracture criteria, it is also important to correctly take into account changes in the rheology of the fractured material, including the contact interaction between the surfaces of cracks and fragments. This paper proposes a numerical approach to solving the problems of contact interaction and brittle fracture of elastically deformable bodies. Crack bank interactions, including frictional forces and contact pressures, is modeled by the means of frame-type contact finite elements (CFE) using a stepwise analysis method. Various contact conditions – separation, clutch, friction-sliding, as well as rheological properties of crack surfaces and fragments – contact layer pliability, adhesion strength, etc. are modeled with the help of CFE. The proposed approach was used in the numerical modeling of bone damage under the penetrating action of a rigid indenter. The conducted numerical studies have shown a good correspondence of the calculated and experimental results, despite the substantial approximation of the used calculation schemes.

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A New Crack Propagation Algorithm Combined with the Finite Element Method

Cited by 8 publications

References 53 publications

An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging

An Overview of AI-Assisted Design-on-Simulation Technology for Reliability Life Prediction of Advanced Packaging

Modeling of contact interaction of crack banks based on finite element schemes

Numerical modeling of crack formation and propagation using contact elements

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