Prediction of location specific mechanical properties of aluminum casting using a new CA-FEA (cellular automaton-finite element analysis) approach

Ridgeway, Colin D.; Gu, Cheng; Ripplinger, Keith; Detwiler, Duane; Ji, Mingshi; Soghrati, Soheil; Luo, Alan A.

doi:10.1016/j.matdes.2020.108929

Cited by 20 publications

(7 citation statements)

References 34 publications

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“…19 , before and after tensile testing [ 145 – 148 ]. Similar work was reported for brackets fabricated by AM with pores [ 149 ], and for pores in high pressure die castings in recent work [ 14 ], and for prediction of mechanical properties in aluminium castings [ 150 , 151 ], and for mechanical characterisation of AM nickel–chromium alloy samples [ 152 ]. A Bayesian-based statistical analysis was conducted for uncertainty quantification of pore distributions in AM components [ 153 ], which was later used for developing a probabilistic constitutive damage model.…”

Section: Review Of Hvm Applications Of Ibsimsupporting

confidence: 71%

A Review of Image-Based Simulation Applications in High-Value Manufacturing

Evans

Sozumert

Keenan

et al. 2023

Arch Computat Methods Eng

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Image-Based Simulation (IBSim) is the process by which a digital representation of a real geometry is generated from image data for the purpose of performing a simulation with greater accuracy than with idealised Computer Aided Design (CAD) based simulations. Whilst IBSim originates in the biomedical field, the wider adoption of imaging for non-destructive testing and evaluation (NDT/NDE) within the High-Value Manufacturing (HVM) sector has allowed wider use of IBSim in recent years. IBSim is invaluable in scenarios where there exists a non-negligible variation between the ‘as designed’ and ‘as manufactured’ state of parts. It has also been used for characterisation of geometries too complex to accurately draw with CAD. IBSim simulations are unique to the geometry being imaged, therefore it is possible to perform part-specific virtual testing within batches of manufactured parts. This novel review presents the applications of IBSim within HVM, whereby HVM is the value provided by a manufactured part (or conversely the potential cost should the part fail) rather than the actual cost of manufacturing the part itself. Examples include fibre and aggregate composite materials, additive manufacturing, foams, and interface bonding such as welding. This review is divided into the following sections: Material Characterisation; Characterisation of Manufacturing Techniques; Impact of Deviations from Idealised Design Geometry on Product Design and Performance; Customisation and Personalisation of Products; IBSim in Biomimicry. Finally, conclusions are drawn, and observations made on future trends based on the current state of the literature.

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Section: Review Of Hvm Applications Of Ibsimsupporting

confidence: 71%

A Review of Image-Based Simulation Applications in High-Value Manufacturing

Evans

Sozumert

Keenan

et al. 2023

Arch Computat Methods Eng

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show abstract

“…They used the Artificial Neural Network (ANN) approach to model the influence of these parameters on the mechanical properties of single alloy castings. Ridgeway et al [18] used the cellular automaton-finite element analysis (CE-FEA) approach for the prediction of local mechanical properties of castings. The microstructure was modelled, including imperfections and related mechanical properties depending on the local cooling rate.…”

Section: Discussionmentioning

confidence: 99%

CALCULATION OF MECHANICAL AND FOUNDRY CHARACTERISTICS OF Al-Si ALLOYS USING REGRESSION ANALYSIS

Blaško

Petrík

Palfy

et al. 2021

METAL Conference Proeedings

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“…For the past few years, researchers have added the finite element analysis (FEA) tool to the CA method, creating a tight coupling between the CA method and the FEA tool to simulate the solidification process of aluminum alloy under casting process conditions. This CA model could predict location-specific microstructures, including the secondary dendrite arm spacing and porosity [ 43 ]. In addition, some scholars have combined the CA method with the finite difference method (FDM) to establish a two-dimensional (2-D) multi-component and multi-phase CA model.…”

Section: Application Progress Of Ca In Microstructure Simulationmentioning

confidence: 99%

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

Zhi,

Jiang,

et al. 2024

Materials

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The cellular automata (CA) method has played an important role in the research and development of metallic materials. CA can interpret the microstructure changes of materials and obtain more abundant, accurate and intuitive information of microstructure evolution than conventional methods. CA can visually represent the process of grain formation, growth, development and change to us in a graphical way, which can assist us in analysis, thinking and solving problems. In the last five years, the application of CA in materials research has been rapidly developed, and CA has begun to occupy an increasingly important position in the simulation research of metallic materials. After introducing the advantages and limitations of CA compared to other widely used simulation methods, the purpose of this paper is to review the recent application progress on the microstructure simulation of metallic materials using CA, such as solidification, recrystallization, phase transformation and carbide precipitation occurring during forming and heat treatment. Specifically, recent research advances on microstructure simulation by CA in the fields of additive manufacturing, welding, asymmetrical rolling, corrosion prevention, etc., are also elaborated in this paper. Furthermore, this paper points out the future work direction of CA simulation in the research of metallic materials, especially in the simulation of the crystal structure, the prediction of mechanical properties, CA simulation software and rule systems, etc. These are expected to attract wide attention of researchers in the field of metallic materials and promote the development of CA in materials research.

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Prediction of location specific mechanical properties of aluminum casting using a new CA-FEA (cellular automaton-finite element analysis) approach

Cited by 20 publications

References 34 publications

A Review of Image-Based Simulation Applications in High-Value Manufacturing

A Review of Image-Based Simulation Applications in High-Value Manufacturing

CALCULATION OF MECHANICAL AND FOUNDRY CHARACTERISTICS OF Al-Si ALLOYS USING REGRESSION ANALYSIS

Review on Cellular Automata for Microstructure Simulation of Metallic Materials

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