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Nadhir Lebaal

Researcher at Centre national de la recherche scientifique

Publications -  51
Citations -  581

Nadhir Lebaal is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Finite element method & Sequential quadratic programming. The author has an hindex of 11, co-authored 45 publications receiving 425 citations. Previous affiliations of Nadhir Lebaal include Universite de technologie de Belfort-Montbeliard.

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Tool path optimization for single point incremental sheet forming using response surface method

TL;DR: An optimization procedure tested for a given forming strategy is shown, in order to reduce the manufacturing time and homogenize thickness distribution of an asymmetric part.
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Optimization Based Simulation of Self-expanding Nitinol Stent

TL;DR: In this paper, an optimization based simulation methodology was developed in order to improve the fatigue endurance of the self-expanding Nitinol (nickel-titanium alloy) stent, which was used in conjunction with Kriging interpolation and sequential quadratic programming (SQP) algorithm.
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Design and optimization of three-dimensional extrusion dies, using constraint optimization algorithm

TL;DR: The computational approach incorporates three-dimensional finite element simulations software Rem3D^(R) and includes an optimization algorithm based on the global response surfaces with the Kriging interpolation and SQP algorithm within an adaptive strategy of the search space to allow the location of the global optimum with a fast convergence.
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Optimised lattice structure configuration for additive manufacturing

TL;DR: A new optimization method using design of experiment and surrogate model to configure lattice structures in specified 3D hulls to gain both mass and computation efficiency for structure design is proposed.
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Rheological parameters identification using in situ experimental data of a flat die extrusion

TL;DR: In this paper, the rheological parameters of the melt are identified through optimisation by a response surface method, and the objective is to minimize the differences between the measured pressure obtained in flat die and the pressures computed by one-dimensional finite difference code program.