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Jianguo Lin

Researcher at Imperial College London

Publications -  326
Citations -  8617

Jianguo Lin is an academic researcher from Imperial College London. The author has contributed to research in topics: Creep & Hot stamping. The author has an hindex of 41, co-authored 319 publications receiving 6679 citations. Previous affiliations of Jianguo Lin include Coventry Health Care & University of Birmingham.

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A Novel Grip Design for High-Accuracy Thermo-Mechanical Tensile Testing of Boron Steel under Hot Stamping Conditions

TL;DR: In this paper, a new grip design for the Gleeble Materials-Simulator has been developed to reduce the long-standing problem of temperature gradient along a testpiece during thermo-mechanical tensile testing.
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Experimental investigations of the in-die quenching efficiency and die surface temperature of hot stamping aluminium alloys

TL;DR: In this paper, the performance of in-die quenching, reflected by the time of work-piece held within stamping dies and die surface temperature during the simulated hot stamping process of AA6082, was experimentally and analytically investigated.
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Effect of forming parameters on electron beam Surfi-Sculpt protrusion for Ti–6Al–4V

TL;DR: In this paper, the effect of forming parameters, including heat input and scanning frequency on the quality of protrusions and microstructure evolution was studied, and the micro-hardness of heat affected zone was greater than that of the molten zone and parent material.
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Approximating circular arcs by Bézier curves and its application to modelling tooling for FE forming simulations

TL;DR: In this paper, a combined numerical and analytical method is presented to investigate the error of approximating circular arcs using cubic Bezier curve segments, and the results obtained are applied to the creation of rigid tool surfaces for FE forming simulations.
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Influence of process parameters on properties of AA6082 in hot forming process

TL;DR: In this article, a new model was established to describe the strengthening of AA6082 by hot forming and cold-die quenching (HFQ) process, and the material constants in the model were determined using a genetic algorithm tool.