Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling
Abstract
:1. Introduction
2. Literature Review on Modelling for AM
3. Proposing a Framework for Modelling and Optimizing AM Using MD
3.1. Description of MD and Literature Review on MD Approaches in AM
3.2. Proposing a Framework for Modelling and Optimization of AM Using MD
- Simulation protocol
- Two- or three-dimensional structure
- Dimensions of the simulation box
- Number of layers
- Timestep
- (a)
- Microcanonical, an adiabatic- no heat exchange process
- (b)
- Canonical with constant temperature
- (c)
- Isothermal-isobaric
- (d)
- Generalized with slow dynamics of disordered spin systems and parallel tempering.
3.3. Validation Plan of the Proposed Framework
- Specification of model parameters with specified range of values and associated uncertainties
- Determination of criteria that will be used to evaluate the framework
- Collection of data from the model
- Analysis of the model output
- Providing feedback and feedforward for the framework validation
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Type of AM | Modelling Approach | Literature |
---|---|---|
Selective Laser Sintering (SLS) | Discrete Element Method (DEM) | Averardi 2020 [10] |
Empirical | Panda 2016 [11] | |
MD | Cheung 2014 [12], Hu 2017 [13], Zhang 2018 [14] | |
Particle-scale numerical modelling | Maeshima 2020 [15] | |
Selective Laser Melting | MD | Babuska 2019 [16], Etesami 2020 [17], Guo 2017 [18], Kurian 2020 [19], Rahmani 2018 [20], Tan 2017 [21], Vo 2017 [22], Wang 2020 [23], Yao [24], Nandy 2019 [25], Nandy 2020 [26] |
Lattice Boltzmann Method | Cattenone 2019 [27] | |
FE | Johnson 2019 [28] | |
DEM | Cao 2019 [29], Steuben 2016 [30] | |
Process energy demand model | Peng 2018 [31] | |
Multiphysics simulation | Martin 2019 [32] | |
FVM/DEM | Wang 2018 [33] | |
MD/DEM/FEA | Zhang 2018 [34] | |
Phase Field | Zhang 2018 [35] | |
Computational Fluid Dynamics | Haley 2019 [36] | |
Wire Arc AM | MD/PF/FE | Geng 2021 [37] |
Filament Material Extrusion- Fused Deposition Modelling | Analytical +Empirical | Komineas 2018 [38] |
Hybrid AM | MD | Lin 2018 [39] |
Modelling Approach | Limitations | How MD Can Address This? | Relevant Reference |
---|---|---|---|
Lattice Boltzmann Method |
|
| [12] |
Computational Fluid Dynamics |
|
| [25] |
Discrete Element Method |
|
| [12,17,25] |
Particle-scale numerical modelling |
|
| [12,22] |
Process Energy demand model |
|
| [19] |
Phase field modelling |
|
| [12] |
Finite Element Analysis |
|
| [12,24] |
Empirical methods |
|
| [11,38] |
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Stavropoulos, P.; Panagiotopoulou, V.C. Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling. Modelling 2022, 3, 189-200. https://doi.org/10.3390/modelling3010013
Stavropoulos P, Panagiotopoulou VC. Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling. Modelling. 2022; 3(1):189-200. https://doi.org/10.3390/modelling3010013
Chicago/Turabian StyleStavropoulos, Panagiotis, and Vasiliki Christina Panagiotopoulou. 2022. "Developing a Framework for Using Molecular Dynamics in Additive Manufacturing Process Modelling" Modelling 3, no. 1: 189-200. https://doi.org/10.3390/modelling3010013