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Article Dans Une Revue Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture Année : 2022

Specific force map for smart machining applications with rotating tools

Résumé

Industry 4.0 is the need of the hour in current global market scenario and all the processes are moving towards automation and smart manufacturing. In machining, smart techniques implementation depends on developing a database for decision-making, which is the case for stack drilling in aerospace industry. In this application, choosing one optimal condition for several materials is a challenge due to their different machinability. Hence, material identification techniques are suitable approaches for adapting the cutting parameters in real time, which improves tool life, hole quality and productivity. In that regard, the goal of the present paper is to create a specific force data map for axial drilling and circular milling processes based on its experimental force and power measurements. To do that, experiments were separately carried out on Titanium and Aluminium workpieces in a range of cutting speed and feed conditions. The results show that specific cutting and feed forces for each material can be identified on distinct regions of the map, without thresholds overlapping. Given that, these maps can be used as a signature to distinguish two metallic materials in real time machining. In this case, the specific data points at the interface layers may offer advantage to accurately identify tool position unlike monitoring gradient of feed forces while drilling stacked materials. Therefore, smart machining techniques seeking cutting parameters optimization can be implemented for a particular material.
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Dates et versions

hal-03644109 , version 1 (18-04-2022)

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Sughosh Deshpande, Maria Clara Coimbra Gonçalves, Anna Carla Araujo, Pierre Lagarrigue, Yann Landon. Specific force map for smart machining applications with rotating tools. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2022, ⟨10.1177/09544054221100320⟩. ⟨hal-03644109⟩
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