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    A physics-based topology optimization method for enhancing precision in metal am parts
    (TU Delft, 2022) Ranjan, Rajit
    A physics-based topology optimization method for enhancing precision in metal am parts | TU Delft Repository TU Delft Library search Press enter to search in title/abstract in title/abstract in authors local_library Repository Title Metadata Abstract Files A physics-based topology optimization method for enhancing precision in metal am parts Conference paper (2022) Authors R. Ranjan Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering Zhuoer Chen Chalmers University of Technology C. Ayas Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering M. Langelaar Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering Matthijs Langelaar Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering A. van Keulen Mechanical Engineering Research Group Computational Design
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    Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes
    (Springer, 2023-11) Ranjan, Rajit
    Computational process modelling of metal additive manufacturing has gained significant research attention in recent past. The cornerstone of many process models is the transient thermal response during the AM process. Since deposition-scale modelling of the thermal conditions in AM is computationally expensive, spatial and temporal simplifications, such as simulating deposition of an entire layer or multiple layers, and extending the laser exposure times, are commonly employed in the literature. Although beneficial in reducing computational costs, the influence of these simplifications on the accuracy of temperature history is reported on a case-by-case basis. In this paper, the simplifications from the existing literature are first classified in a normalised simplification space based on assumptions made in spatial and temporal domains. Subsequently, all types of simplifications are investigated with numerical examples and compared with a high-fidelity reference model. The required numerical discretisation for each simplification is established, leading to a fair comparison of computational times. The holistic approach to the suitability of different modelling simplifications for capturing thermal history provides guidelines for the suitability of simplifications while setting up a thermal AM model.