Abstract
Additive manufacturing (AM), commonly known as 3D printing, is gaining popularity in academia and business due to its distinct benefits over old-fashioned subtractive manufacturing. However, its processing parameters are challenging to control since they can significantly influence the printed parts, microstructure, and subsequent product performance. Building a process-structure-property-performance (PSPP) connection for AM is a complex undertaking. Understanding the combined effects of strain, strain rate, and temperature is essential for understanding the crashworthiness of the AM components. This can be done using numerical-analytical models and topology optimization. This chapter reviews the progress made in using topological optimization and numerical-analytical models for several parts of the am whole chain, including model creation, in situ monitoring, and quality assessment. The current difficulties in using conventional numerical and analytical models to analyze AM are then discussed, along with possible remedies.
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Ahmad, S., Rab, S., Soni, H. (2023). Advances in Additive Manufacturing and Its Numerical Modelling. In: Aswal, D.K., Yadav, S., Takatsuji, T., Rachakonda, P., Kumar, H. (eds) Handbook of Metrology and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-99-2074-7_136
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