SAM: Recent submissions
Now showing items 364-370 of 6182
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2022-09-28)Burr size is a real issue in aeronautic for machining highly critical parts, such as broaching of turbine disks, it may affect the mechanical resistance of the part. However, the analysis and modelling of the burr formation ...
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Article dans une revue avec comité de lecture(MDPI AG, 2023-09-27)In the thermography process, accurately determining emissivity is crucial to obtain precise temperature measurements as it enables the conversion of radiometric values to absolute temperatures. However, assessing emissivity ...
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Communication avec acte(Springer Nature Switzerland, 2023-08)Forging processes are defined by variables related to the workpiece, the tools, the machine, and the process itself, and these variables are called process variables. They have a direct impact on the quality of the finished ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2024-01)Natural cellular materials can be used directly or as a constituent of bio-sourced composites for industrial applications involving dynamic loadings, usually for the purpose of absorbing mechanical energy. These biological ...
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Article dans une revue avec comité de lecture(Elsevier BV, 2023-09)To assess the efficiency of remediating dense non-aqueous phase liquids (DNAPLs), here heavy chlorinated solvents, through injection of xanthan solutions with or without surfactant (sodium dodecylbenzenesulfonate: SDBS), ...
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Article dans une revue avec comité de lecture(2022-11-29)The activity of part orientation is of crucial importance in terms of impact on the quality of parts in powder bed additive manufacturing. To support the decision-making of Computer Aided Manufacturing (CAM) operators, ...
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Article dans une revue avec comité de lecture(Springer Science and Business Media LLC, 2023-04)Air jets for active flow control have proved effective in postponing the onset of stall phenomenon in axial compressors. In this paper, we use a combination of machine learning and genetic algorithm to explore the optimal ...