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Demagna Koffi

Researcher at Université du Québec à Trois-Rivières

Publications -  16
Citations -  267

Demagna Koffi is an academic researcher from Université du Québec à Trois-Rivières. The author has contributed to research in topics: Fiber & Ultimate tensile strength. The author has an hindex of 7, co-authored 14 publications receiving 182 citations. Previous affiliations of Demagna Koffi include Université du Québec.

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Life and damage mode modeling applied to plastic gears

TL;DR: In this paper, a review of the multiple damage modes of plastic gears, including both general and plastic gear-exclusive modes, is provided, and a unique system of analysis of gear utilization perspectives that evaluates all possible damaging processes is built.
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Development of novel green and biocomposite materials: Tensile and flexural properties and damage analysis using acoustic emission

TL;DR: In this paper, a new green composite made of natural polyethylene (NPE) has never been produced using short birch fibers and compared with others biocomposites with matrices of linear low-density polyethylen (LLDPE) and high-density highdensity polyelene (HDPE), with fiber ratios of 10, 20, 30 and 40% were produced.
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Mechanical properties and drop-weight impact performance of injection-molded HDPE/birch fiber composites

TL;DR: In this article, the authors measured the drop weight impact, Izod impact strength, hardness, tensile strength and elastic modulus of birch-fiber-reinforced HDPE obtained by injection molding.
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Formulation and tensile characterization of wood–plastic composites: Polypropylene reinforced by birch and aspen fibers for gear applications

TL;DR: In this article, the effects of wood fibers and 3 wt% maleic anhydride-grafted polypropylene used as coupling agent on the tensile properties of wood composites were investigated.

Characterization of Tensile Damage for a Short Birch Fiber-reinforced Polyethylene Composite with Acoustic Emission

TL;DR: In this article, the authors used acoustic emission (AE) technique to characterize microstructural damage events leading to overall failure of a biocomposite and proposed a new damage mode definition based on a neural network with three parameters.