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Mathieu RITOU

ENSEIGNANT-CHERCHEUR

Professeur des universités LS2N - IUT de Nantes
HDR

: Mathieu.Ritouatls2n.fr

Page pro : https://www.linkedin.com/in/mathieu-ritou-36a76b132/

Adresse :



Publications référencées sur HAL

Revues internationales avec comité de lecture (ART_INT)

    • [1] V. Godreau, M. Ritou, C. de Castelbajac, B. Furet. Diagnosis of spindle failure by unsupervised machine learning from in-process monitoring data in machining. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2024, vol. 131.
      https://hal.science/hal-04200150v1
    • [2] B. Lavisse, X. Tardif, D. Bondarenko, M. Ritou, G. Germain. In process temperature and tool wear for the machining of aeronautic aluminum under different lubrication conditions. In Machining Science and Technology ; éd. Taylor & Francis, 2023, vol. 27, num. 5.
      https://hal.science/hal-04210302v1
    • [3] H. Chabeauti, M. Ritou, B. Lavisse, G. Germain, V. Charbonnier. Digital twin of forged part to reduce distortion in machining. In CIRP Annals - Manufacturing Technology ; éd. Elsevier, 2023, vol. 72, num. 1.
      https://hal.science/hal-04200127v1
    • [4] A. Ladj, Z. Wang, O. Meski, F. Belkadi, M. Ritou, C. da Cunha. A knowledge-based Digital Shadow for machining industry in a Digital Twin perspective. In Journal of Manufacturing Systems ; éd. Elsevier, 2021, vol. 58.
      https://hal.science/hal-02913533v1
    • [5] O. Meski, F. Belkadi, F. Laroche, M. Ritou, B. Furet. A generic knowledge management approach towards the development of a decision support system. In International Journal of Production Research ; éd. Taylor & Francis, 2021, vol. 59, num. 22.
      https://hal.science/hal-02971860v1
    • [6] Z. Yahouni, A. Ladj, F. Belkadi, O. Meski, M. Ritou. A smart reporting framework as an application of multi-agent system in machining industry. In International Journal of Computer Integrated Manufacturing ; éd. Taylor & Francis, 2021, vol. 34, num. 5.
      https://hal.science/hal-03236857v1
    • [7] Z. Wang, M. Ritou, C. da Cunha, B. Furet. Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model. In International Journal of Computer Integrated Manufacturing ; éd. Taylor & Francis, 2020, vol. 33, num. 10-11.
      https://hal.science/hal-02888452v1
    • [8] O. Özşahin, M. Ritou, E. Budak, C. Rabréau, S. Le Loch. Identification of spindle dynamics by receptance coupling for non-contact excitation system. In Procedia CIRP ; éd. ELSEVIER, 2019, vol. 82.
      https://hal.science/hal-02289335v1
    • [9] Z. Wang, C. da Cunha, M. Ritou, B. Furet. Comparison of K-means and GMM methods for contextual clustering in HSM. In Procedia Manufacturing ; éd. Elsevier, 2019, vol. 28.
      https://hal.science/hal-02100702v1
    • [10] M. Ritou, F. Belkadi, Z. Yahouni, C. da Cunha, F. Laroche, B. Furet. Knowledge-based multi-level aggregation for decision aid in the machining industry. In CIRP Annals - Manufacturing Technology ; éd. Elsevier, 2019, vol. 68, num. 1.
      https://hal.science/hal-02103742v1
    • [11] V. Godreau, M. Ritou, E. Chové, B. Furet, D. Dumur. Continuous improvement of HSM process by data mining. In Journal of Intelligent Manufacturing ; éd. Springer Verlag (Germany), 2019, vol. 30, num. 7.
      https://hal.science/hal-01819020v1
    • [12] M. Ritou, C. Maurin, S. Bonnet, B. Furet, O. Legoff. mobile machines for the machining of large dimension parts. In MM Science Journal ; éd. MM Science Journal, 2019, vol. 4, num. 04.
      https://hal.science/hal-02368666v1
    • [13] A. Gerasimenko, M. Ritou, V. Godreau, B. Furet. Monitoring of trimming operation for lightweight composite structure. In Procedia CIRP ; éd. ELSEVIER, 2018, vol. 72.
      https://hal.science/hal-01828282v1
    • [14] C. Rabreau, J. Kekula, M. Ritou, M. Sulitka, J. Shim, S. Loch, B. Furet. Influence of bearing kinematics hypotheses on ball bearing heat generation. In Procedia CIRP ; éd. ELSEVIER, 2018, vol. 77.
      https://hal.science/hal-02012335v1
    • [15] D. Tlalolini, M. Ritou, C. Rabréau, S. Le Loch, B. Furet. Modeling and characterization of an electromagnetic system for the estimation of Frequency Response Function of spindle. In Mechanical Systems and Signal Processing ; éd. Elsevier, 2018, vol. 104.
      https://hal.science/hal-01819017v1
    • [16] A. Boudelier, M. Ritou, S. Garnier, B. Furet. Cutting force model for machining of CFRP laminate with diamond abrasive cutter. In Production Engineering ; éd. Penton Publishing, 2018, vol. 12, num. 2.
      https://hal.science/hal-01819018v1
    • [17] M. Ritou, C. Rabréau, S. Le Loch, B. Furet, D. Dumur. Influence of spindle condition on the dynamic behavior. In CIRP Annals - Manufacturing Technology ; éd. Elsevier, 2018, vol. 67, num. 1.
      https://hal.science/hal-01819019v1
    • [18] E. Maleki, F. Belkadi, M. Ritou, A. Bernard. A Tailored Ontology Supporting Sensor Implementation for the Maintenance of Industrial Machines. In Sensors ; éd. MDPI, 2017, vol. 17, num. 9.
      https://hal.science/hal-01676945v1
    • [19] C. Rabréau, D. Noel, S. Loch, M. Ritou, B. Furet. Phenomenological model of preloaded spindle behavior at high speed. In International Journal of Advanced Manufacturing Technology ; éd. Springer Verlag, 2017, vol. 90, num. 9-12.
      https://hal.science/hal-01819016v1
    • [20] C. de Castelbajac, M. Ritou, L. Sylvain, B. Furet. Monitoring of distributed defects on HSM spindle bearings. In Applied Acoustics ; éd. Elsevier, 2014, vol. 77.
      https://hal.science/hal-00852246v1
    • [21] M. Ritou, S. Garnier, B. Furet, J. Hascoët. Angular approach combined to mechanical model for tool breakage detection by eddy current sensors. In Mechanical Systems and Signal Processing ; éd. Elsevier, 2014, vol. 44, num. 1-2.
      https://hal.science/hal-00862232v1
    • [22] D. Noel, M. Ritou, B. Furet, S. Le Loch. Complete Analytical Expression of the Stiffness Matrix of Angular Contact Ball Bearings. In Journal of Tribology ; éd. American Society of Mechanical Engineers, 2013, vol. 135, num. 4.
      https://hal.science/hal-00862772v1
    • [23] A. Boudelier, M. Ritou, S. Garnier, B. Furet. Investigation of CFRP machining with diamond abrasive cutters, Journal of Composite and Advanced Materials. In Revue des composites et des matériaux avancés = Journal of Composite and Advanced Materials ; éd. IIETA, 2013, vol. 23, num. 3.
      https://hal.science/hal-00954986v1
    • [24] C. Dumas, A. Boudelier, S. Caro, S. Garnier, M. Ritou, B. Furet. Développement d'une cellule robotisée de détourage des composites. In Mechanics & Industry ; éd. EDP Sciences, 2012, vol. 12, num. 6.
      https://hal.science/hal-00862195v1
    • [25] A. Boudelier, M. Ritou, S. Garnier, B. Furet. Optimization of Process Parameters in CFRP Machining with Diamond Abrasive Cutters. In Advanced Materials Research ; éd. Trans Tech Publications, 2011, vol. 223.
      https://hal.science/hal-00862205v1
    • [26] M. Ritou, S. Garnier, B. Furet, J. Hascoët. A new versatile in-process monitoring system for milling. In International Journal of Machine Tools and Manufacture ; éd. Elsevier, 2006, vol. 46, num. 15.
      https://hal.science/hal-00861905v1
    • [27] C. Lartigue, C. Tournier, M. Ritou, D. Dumur. High-performance NC for high-speed machining by means of polynomial trajectories. In CIRP Annals - Manufacturing Technology ; éd. Elsevier, 2004, vol. 53, num. 1.
      https://hal.science/hal-00861903v1

Conférences internationales avec comité de lecture et actes (COMM_INT)

    • [28] Z. Wang, M. Ritou, C. da Cunha, B. Furet. Contextual classification of chatter based on unsupervised machine learning. In 19th CIRP Conference on Modeling of Machining Operations, 2023, Karlsuhe, Allemagne.
      https://hal.science/hal-04090349v1
    • [29] Y. Iwao, A. Pratap, M. Ritou, A. Beaucamp. Development of On-Machine System for Measurement of Workpiece Substrate Properties and Topography. In 19th International Conference on Precision Engineering (ICPE 2022), novembre 2022, Nara / Japan, Japon.
      https://hal.science/hal-04200188v1
    • [30] M. Monvoisin, P. Leray, M. Ritou. Unsupervised co-training of bayesian networks for condition prediction. In 34th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2021, 2021, Kuala Lumpur, Malaisie.
      https://hal.science/hal-03172024v1
    • [31] M. Monvoisin, P. Leray, M. Ritou. Unsupervised condition monitoring with bayesian networks: an application on high speed machining. In 31th European Safety and Reliability Conference, ESREL 2021, 2021, Angers, France.
      https://hal.science/hal-03324339v1
    • [32] Z. Wang, M. Ritou, C. da Cunha, B. Furet. Classification contextuelle pour système d'aide à la décision pour machines-outils. In Colloque National S-mart/AIP-PRIMECA, avril 2019, Les Karellis, France.
      https://hal.science/hal-02100713v1
    • [33] O. Meski, F. Belkadi, F. Laroche, B. Furet, M. Ritou. La structuration des connaissances pour l'aide à la décision dans le contexte de l'industrie 4.0. In 24éme Congrès Français de Mécanique(CFM 2019), août 2019, Brest, France.
      https://hal.science/hal-02302619v1
    • [34] L. Kamgaing Souop, Y. Landon, J. Senatore, A. Daidié, M. Ritou. Orbital Drilling Optimization in High Speed Machining and Fatigue Life Enhancement by Orbital Roller Burnishing: Application to an Aluminum Alloy. In SAE International Conference, septembre 2019, Bordeaux, France.
      https://ut3-toulouseinp.hal.science/hal-02462039v1
    • [35] O. Legoff, M. Ritou, C. Maurin, S. Bonnet, B. Furet. Mobile machines for the machining of large dimension parts.. In 15th InternatIonal Conference High Speed Machining advances in manufacturing technology (HSM 2019), octobre 2019, Prague, République tchèque.
      https://hal.science/hal-02498209v1
    • [36] L. Kamgaing Souop, A. Daidié, Y. Landon, J. Senatore, M. Ritou. Investigation of Aluminum Alloy Properties During Helical Roller Burnishing Through Finite Element Simulations and Experiments. In International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing, juin 2018, Carthagena, Espagne.
      https://hal.science/hal-02119950v1
    • [37] Z. Wang, C. da Cunha, M. Ritou, B. Furet. Comparison of K-means and GMM methods for contextual clustering in HSM. In International Conference on Changeable, Agile, Reconfigurable and Virtual Productio, octobre 2018, Nantes, France.
      https://hal.science/hal-01982520v1
    • [38] C. Rabréau, M. Ritou, S. Le Loch, B. Furet. Investigation of the Evolution of Modal Behavior of HSM Spindle at High Speed. In 16th CIRP Conference on Modelling of Machining Operations, juin 2017, Cluny, France.
      https://hal.science/hal-01819025v1
    • [39] P. Elodie, S. Garnier, M. Ritou, B. Furet, D. Vincent. The implementation of a methodology for robotic repair operations on composite structures. In JCM 2016, International Joint Conference on Mechanics, Design Engineering & Advanced Manufacturing, septembre 2016, catania, Italie.
      https://hal.science/hal-01693086v1
    • [40] C. Rabreau, D. Tlalolini, M. Ritou, S. Le Loch, B. Furet. Experimental Investigation of the Dynamic Behavior of High Speed Machining Spindles with an Electromagnetic Excitation Device. In International Conference on Leading Edge Manufacturing in 21st century (LEM21), octobre 2015, Kyoto, Japon.
      https://hal.science/hal-01819024v1
    • [41] D. Noel, S. Le Loch, M. Ritou, B. Furet. HSM spindle model updating with physical phenomena refinements. In 11th ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, août 2013, Portland, états-Unis.
      https://hal.science/hal-00862363v1
    • [42] D. Bondarenko, A. Pashkevich, S. Briot, M. Ritou, B. Furet. Elasto-Dynamic Model of Robotic Milling Process Considering Interaction between Tool and Workpiece. In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis (ESDA 2012), juillet 2012, Nantes, France.
      https://hal.science/hal-00667610v1
    • [43] D. Noel, M. Ritou, S. Le Loch, B. Furet. Bearings Influence on the Dynamic Behavior of HSM Spindle. In ASME 11th Biennial Conference on Engineering Systems Design and Analysis, juillet 2012, Nantes, France.
      https://hal.science/hal-00790645v1

Conférences nationales avec comité de lecture et actes (COMM_NAT)

    • [44] M. Monvoisin, P. Leray, M. Ritou. Unsupervised co-training of Bayesian networks for condition prediction. In 10èmes journées francophones sur les réseaux bayésiens et les Modèles graphiques probabilistes JFRB 2021, 2021, Ile de Porquerolles, France.
      https://hal.science/hal-03364413v1
    • [45] Z. Wang, M. Ritou, C. da Cunha, B. Furet. Identification du contexte d’usinage basée sur le modèle de mélange gaussien : application au broutement. In Conférence Manufacturing21, juin 2021, Angers, France.
      https://hal.science/hal-03436801v1
    • [46] O. Legoff, M. Ritou, C. Maurin, S. Bonnet, B. Furet. Étude de moyens d'usinage mobiles pour pièces de grandes dimensions. In 24e Congrès Français de Mécanique (CFM 2019), août 2019, Brest, France.
      https://hal.science/hal-02498166v1
    • [47] C. de Castelbajac, M. Ritou, S. Laporte, J. Iwanow, D. Le Borgne, B. Furet. Analyse de l'exploitation des broches en UGV aéronautique. In 6° Assises Machines et Usinage à Grande Vitesse, octobre 2010, Cluny, France.
      https://hal.science/hal-00699828v1
    • [48] A. Caillaud, M. Ritou, S. Garnier, B. Furet. Choix de procédés de parachèvement pour les pièces en matériaux composites = Choice of finishing process for composite parts. In JNC 16, juin 2009, Toulouse, France.In Philippe OLIVIER et Jacques LAMON (éds.), Recueil des résumés et comptes rendus des 16èmes Journées Nationales sur les Composites. AMAC, 2009.
      https://hal.science/hal-00389695v1

Ouvrages - Chapitres d‘ouvrages et directions d‘ouvrages (OUV)

    • [49] E. Paquet, S. Garnier, M. Ritou, B. Furet, V. Desfontaines. Implementation of a new method for robotic repair operations on composite structures. In Advances on Mechanics, Design Engineering and Manufacturing. 01-01-2017
      https://hal.science/hal-01691351v1

Theses et HDR (THESE)

    • [50] M. Ritou. Surveillance d'usinage en fraisage de pièces complexes par un suivi de la broche. Thèses : Université de Nantes, Ecole Centrale de Nantes (ECN), .
      https://theses.hal.science/tel-00355721v1
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