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Sylvie Castagne

Researcher at Katholieke Universiteit Leuven

Publications -  120
Citations -  1530

Sylvie Castagne is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Laser & Finite element method. The author has an hindex of 18, co-authored 111 publications receiving 1192 citations. Previous affiliations of Sylvie Castagne include University of Liège & Queen's University Belfast.

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Microstructure; bonding strength and thickness ratio of Al/Mg/Al alloy laminated composites prepared by hot rolling

TL;DR: In this article, the effect of reduction ratio and rolling temperature on the microstructure, bonding strength and thickness ratio of a hot roll bonding method on the composite was studied. And the authors showed that the bonding strength of the composite decreased with reduction ratio, due to an increase in the grain size and diffusion layer width.

Integrated Digital Design for Manufacture for Reduced Life Cycle Cost

TL;DR: It is shown that a knowledge 1⁄4 -based engineering (KBE) approach can be encoded as a methodology for exploiting 3-D design modelling and manufacturing simulation capabilities and the collaborative application of this to the fuselage of a commercial regional jet is presented.
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Modelling and monitoring of abrasive finishing processes using artificial intelligence techniques: A review

TL;DR: It is reported that most of the Artificial Intelligence algorithms available are not fully exploited for monitoring and modelling in abrasive finishing and emphasizes on bridging this gap.
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Integrated digital design for manufacture for reduced life cycle cost

TL;DR: In this article, the authors present a methodology that facilitates the integration of design and manufacturing modelling at the concept design stage, including cost, which allows the user to more readily exploit the digital manufacturing simulation capabilities offered through state-of-the-art software applications.
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A generic tool for cost estimating in aircraft design

TL;DR: In this article, a methodology to estimate the cost implications of design decisions by integrating cost as a design parameter at an early design stage is presented, which relies on a genetic-causal method where the drivers of each element of cost are identified relative to process capability.