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Duc-Toan Nguyen

Researcher at Hanoi University of Science and Technology

Publications -  52
Citations -  405

Duc-Toan Nguyen is an academic researcher from Hanoi University of Science and Technology. The author has contributed to research in topics: Formability & Finite element method. The author has an hindex of 11, co-authored 48 publications receiving 272 citations. Previous affiliations of Duc-Toan Nguyen include Hanoi University & Jeju National University.

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Application of TGRA-Based Optimisation for Machinability of High-Chromium Tool Steel in the EDM Process

TL;DR: In this paper, a multi-criteria decision-making for computing the optimal process factors required to enhance the performance of the electrical discharge machining (EDM) process was employed.
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Uncoupled ductile fracture criterion considering secondary void band behaviors for failure prediction in sheet metal forming

TL;DR: In this paper, a new phenomenological ductile fracture criterion that is associated with the micro mechanisms of void nucleation, void growth, and evolution of void coalescence is proposed, and a series of upsetting test results of aluminum 2024-T351 and TRIP RA-K40/70 steel are used to construct and compare the accuracy of fracture locus proposed by Modified Mohr-Coulomb criterion, and extend Lou-Huh criterion.
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Ductile Fracture Prediction in Rotational Incremental Forming for Magnesium Alloy Sheets Using Combined Kinematic/Isotropic Hardening Model

TL;DR: In this article, a combined kinematic and isotropic hardening law is implemented and evaluated from the histories of the ductile fracture value (I) using a finite element analysis.
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Finite element method study of incremental sheet forming for complex shape and its improvement

TL;DR: In this article, a combination of both computer-aided manufacturing (CAM) and finite-element modelling (FEM) simulation, is implemented and evaluated from the histories of stress and strain value by means of finite element analysis.
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Characteristics optimization of powder mixed electric discharge machining using titanium powder for die steel materials

TL;DR: In this article, a combination of the Taguchi method and grey relational analysis is applied to optimize simultaneously four quality characteristics of powder mixed electric discharge machining, including material removal rate, tool wear rate, surface roughness, and microhardness surface.