Analytical Method for the Calculation of Tool Machine Energy Consumption
| Autor: | Maher Barkallah, Anoire Ben Jdidia, Alain Riviere, Hichem Hassine, Mohamed Taoufik Khabou, Mohamed Haddar, Alain Bellacicco |
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| Přispěvatelé: | École Nationale d'Ingénieurs de Sfax | National School of Engineers of Sfax (ENIS), Laboratoire QUARTZ (QUARTZ ), Université Paris 8 Vincennes-Saint-Denis (UP8)-SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA)-Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Ecole Internationale des Sciences du Traitement de l'Information (EISTI), SUPMECA - Institut supérieur de mécanique de Paris (SUPMECA) |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
business.product_category Computer science business.industry Global warming Process (computing) 030206 dentistry 02 engineering and technology Energy consumption 7. Clean energy Automotive engineering Machine tool 03 medical and health sciences Nonlinear system [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation 0302 clinical medicine Machining 13. Climate action Manufacturing 8. Economic growth business Energy (signal processing) ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Lecture Notes in Mechanical Engineering Lecture Notes in Mechanical Engineering, Springer Heidelberg, pp.1255-1262, 2018, 7th Conference on Design and Modeling of Mechanical Systems, CMSM 2017, ⟨10.1007/978-3-319-66697-6_123⟩ Design and Modeling of Mechanical Systems—III ISBN: 9783319666969 |
| DOI: | 10.1007/978-3-319-66697-6_123⟩ |
| Popis: | There is no doubt that the industrial revolution has a monumental effect on the prosperity and the improvement of human conditions but on the other hand the bill was too expensive due to environmental degradation especially. Indeed the weather changing and global warming are directly linked with energy consumption. Industrial manufacturing is one of the biggest consumers of energy which needs a deep care especially in machining sequences to reduce energy consumption and to achieve the balance of humanity. To reduce the waste of energy during machining sequences, a new numerical approach to predict machine tool energy consumption is proposed in this study. It is about the spindle rotation and axis feed modeling as well as considering a nonlinear behavior between the tool and the workpiece during the manufacturing process. The proposed model provides an accurate tool for process planning in metal cutting which helps manufacturers to determine the optimal energy process plan. |
| Databáze: | OpenAIRE |
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