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Yogesh Sovani

Researcher at University of Birmingham

Publications -  10
Citations -  526

Yogesh Sovani is an academic researcher from University of Birmingham. The author has contributed to research in topics: Welding & Selective laser melting. The author has an hindex of 7, co-authored 10 publications receiving 363 citations.

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Mesoscale modelling of selective laser melting: Thermal fluid dynamics and microstructural evolution

TL;DR: In this paper, an integrated computational materials science approach for selective laser melting (SLM) at the mesoscale is presented a particle dropping model was developed to simulate the representative powder-bed particle distribution of a measured titanium alloy powder Thermal fluid flow and resulting microstructural evolution of a set of laser scanned single tracks with different powder layer thicknesses and scanning speeds were also studied using both computational and experimental approaches.
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On the role of thermal fluid dynamics into the evolution of porosity during selective laser melting

TL;DR: In this article, the morphology of pores changed from near-spherical to elongated shape as the laser scan speed increased, which is caused by the change of flow pattern in the melt pool which is dictated by forces such as vapour pressure, gravitational force, capillary and thermal capillary forces exerted on the metallic/gaseous interface.
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Modelling of thermal fluid dynamics for fusion welding

TL;DR: In this paper, a fluid dynamics approach to modeling of fusion welding in titanium alloys is proposed, which considers the temporal and spatial evolution of liquid metal/gas interface to capture the transient physical effects during the heat source-material interaction of a fusion welding process.
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Mean-field modelling of the intermetallic precipitate phases during heat treatment and additive manufacture of Inconel 718

TL;DR: In this paper, a multi-phase, multi-component mean-field model has been developed for simulating the intermetallic precipitation kinetics in Inconel 718.
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A computational study on the three-dimensional printability of precipitate-strengthened nickel-based superalloys

TL;DR: A computational framework to study the differences in process-induced microvoid and precipitate distributions during selective laser melting of two nickel-based superalloys representative of low (IN718) and high (CM247LC) volume fraction precipitate-strengthened alloys indicates that CM247LC has a higher propensity to form process- induced microvoids than IN718.