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Helmi Attia

Researcher at National Research Council

Publications -  85
Citations -  2750

Helmi Attia is an academic researcher from National Research Council. The author has contributed to research in topics: Machining & Tool wear. The author has an hindex of 20, co-authored 77 publications receiving 2166 citations. Previous affiliations of Helmi Attia include IAR Systems & McGill University.

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High performance cutting of advanced aerospace alloys and composite materials

TL;DR: An overview of the recent advances in high performance cutting of aerospace alloys and composite currently used in aeroengine and aerostructure applications is presented in this paper, focusing on the role of hybrid machining processes and cooling strategies (MQL, high pressure coolant, cryogenic) on machining performance.
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Cryogenic manufacturing processes

TL;DR: An overview of major cryogenic manufacturing processes, summarizing the state-of-the-art and significant developments during the last few decades, is presented in this article, with a summary of historic perspectives, including definitions, scope, and analysis of process mechanics and material performance covering tribological and thermo-mechanical interactions.
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Wear mechanisms and tool life management of WC–Co drills during dry high speed drilling of woven carbon fibre composites

TL;DR: In this article, the wear mechanisms of tungsten carbide (WC) drills during dry high speed drilling of quasi-isotropic woven graphite fiber epoxy composites were investigated.
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Wear mechanisms of WC coated and uncoated tools in finish turning of Inconel 718

TL;DR: In this article, the results of an experimental investigation on the wear mechanisms of uncoated tungsten carbide (WC) and coated tools (single layer (TiAlN) PVD, and triple-layer (TiCN/Al 2 O 3 /TiN) CVD) were presented.
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Advances in material and friction data for modelling of metal machining

TL;DR: Phenomenological and physically-based constitutive models commonly used in machining simulations are presented and discussed and thermo-physical properties for thermal modelling of the machining process, and microstructure data for the chip and workpiece together with relevant experimental methods are discussed.