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Article dans une revue avec comité de lecture(Elsevier BV, 2024-08)Among the various pharmaceutical forms, tablets offer numerous advantages, like ease of administration, cost-effectiveness in production, and better stability of biomolecules. Beyond these benefits, the tablet form opens ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2021-04-08)The machining of nickel-based superalloys is often challenging due to their excellent physical properties. High-temperature gradients are generated at the cutting zone, which accelerates the tool wear and impairs its ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-03-22)Friction phenomena at the chip/tool/workpiece interfaces during machining of material impacts significantly the cutting process. In this article, the effect of friction conditions (dry, emulsion, cryogenic) on the tribological ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2023-04-24)This article discusses the effect of machining assistance on the machinability and surface integrity of titanium and nickel-based alloys for turning operations. The presented results are based on a literature review of the ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2021-10-19)Hole shrinkage is a common phenomenon in drilling difficult-to-cut materials like Ti6Al4V due to their poor thermal properties and high elasticity, which can lead to increase in tool wear and decrease in surface integrity. ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2022-03-21)Titanium alloys are widely used in aerospace industries due to their excellent physical and mechanical performances, however, their poor machinability always induce fast tool wear. To better understand the interaction ...
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Enhancing Fault Diagnosis in Process Industries with Internal Variables of Model Predictive Control Article dans une revue avec comité de lecture(Elsevier BV, 2024-08)This paper introduces the use of internal variables, estimated through Model Predictive Control (MPC), for fault detection and diagnosis in process industries. To do so, a data-driven methodology is proposed. Three ...