Elham Mirkoohi

TL;DR: In this article, a physics-based analytical model is proposed in order to predict the temperature profile during metal additive manufacturing (AM) processes, by considering the effects of temperature history in each layer, temperature-sensitivity of material properties and latent heat.

TL;DR: Five different heat source models are introduced to predict the three-dimensional temperature field analytically and the proposed temperature field models based on differentHeat source approaches are validated using experimental measurement of melt pool geometry from independent experimentations.

TL;DR: In this paper, a physics-based analytical model is presented to predict 3D temperature distribution in SLM with consideration of heat transfer boundary conditions so that the effects of build edges and geometries can be considered in the context of a closed-form solution.

TL;DR: In this article, an analytical model for postprinting grain size prediction in metal additive manufacturing is presented, where the solution of a moving point heat source for the convection-diffusion equation, which is utilized to describe the thermal equilibrium during the additive manufacturing process, is deduced to calculate the temperature distribution in the build part.

TL;DR: In this paper, a thermomechanical analytical model is proposed to predict the in-process elastoplastic hardening thermal stress and strain for single-track scan strategy, which is validated using experimental results of melt pool geometry.