يعرض 1 - 10 نتائج من 435 نتيجة بحث عن '"cutting tool wear"', وقت الاستعلام: 1.04s تنقيح النتائج
  1. 1
    مؤتمر
    Maintenance of Operable Condition of a Flexible Production System Through the Development and Implementation of a Method for Cutting Tools and Workpieces Operational Control

    المؤلفون: Basova, Tatiana V., Andreev, Yuri S.

    المصدر: 2024 International Russian Smart Industry Conference (SmartIndustryCon) Russian Smart Industry Conference (SmartIndustryCon), 2024 International. :488-493 Mar, 2024

    Relation: 2024 International Russian Smart Industry Conference (SmartIndustryCon)

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  2. 2
    مؤتمر
    The Cutting Tool Technical State Forecasting During the Technological Production Preparation Stages

    المؤلفون: Basova, T. V., Andreev, Y. S.

    المصدر: 2023 International Ural Conference on Electrical Power Engineering (UralCon) Electrical Power Engineering (UralCon), 2023 International Ural Conference on. :106-110 Sep, 2023

    Relation: 2023 International Ural Conference on Electrical Power Engineering (UralCon)

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  3. 3
    مؤتمر
    The Development of Cutting Tools Active Control Methodology for Numerical Control Milling Machines

    المؤلفون: Basova, Tatiana Vladimirovna, Andreev, Yuri Sergeevich, Basova, Maria Vladimirovna

    المصدر: 2022 International Ural Conference on Electrical Power Engineering (UralCon) Electrical Power Engineering (UralCon), 2022 International Ural Conference on. :108-112 Sep, 2022

    Relation: 2022 International Ural Conference on Electrical Power Engineering (UralCon)

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  4. 4
    مؤتمر
    Machine learning for monitoring and predictive maintenance of cutting tool wear for clean-cut machining machines

    المؤلفون: Bonci, Andrea, Di Biase, Alessandro, Franco Dragoni, Aldo, Longhi, Sauro, Sernani, Paolo, Zega, Alessandro

    المصدر: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA) Emerging Technologies and Factory Automation (ETFA), 2022 IEEE 27th International Conference on. :1-8 Sep, 2022

    Relation: 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)

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  5. 5
    دورية أكاديمية
    Surface roughness and tool wear monitoring in turning processes through vibration analysis using PSD and GRMS

    المؤلفون: Bouchama, RoumaissaAff1, IDs0017002312742x_cor1, Bouhalais, Mohamed Lamine, Cherfia, Abdelhakim

    المصدر: The International Journal of Advanced Manufacturing Technology. 130(7-8):3537-3552

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  6. 6
    دورية أكاديمية
    Cutting tool wear prediction based on the multi-stage Wiener process

    المؤلفون: Wang, Yuping, Chang, Miaoxin, Huang, XianzhenAff1, Aff2, IDs00170023126488_cor3, Li, Yuxiong, Tang, Jiwu

    المصدر: The International Journal of Advanced Manufacturing Technology. 129(11-12):5319-5333

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  7. 7
    دورية أكاديمية
    An improved soil abrasion testing method for shield tunnelling based on LCPC

    المؤلفون: Zhiyong YANG, Junwei ZHU, Xing YANG, Xiaokang SHAO, Yusheng JIANG, Yunlong WANG

    المصدر: Shuiwen dizhi gongcheng dizhi, Vol 50, Iss 6, Pp 90-98 (2023)

    مصطلحات موضوعية: lcpc abrasivity test, shield tunnel, soil abrasivity, particle breakage, cutting tool wear, Geology, QE1-996.5

    وصف الملف: electronic resource

    Relation: https://doaj.org/toc/1000-3665

    URL الوصول: https://doaj.org/article/082cbd3b293d47c08265e213c6024aec

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  8. 8
    مؤتمر
    Influence of Cutting Tool Wear on Core Losses and Magnetizing Demand of Electrical Steel Sheets

    المؤلفون: Regnet, Martin, Kremser, Andreas, Reinlein, Michael, Szary, Philipp, Abele, Ulrich

    المصدر: 2019 9th International Electric Drives Production Conference (EDPC) Electric Drives Production Conference (EDPC), 2019 9th International. :1-6 Dec, 2019

    Relation: 2019 9th International Electric Drives Production Conference (EDPC)

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  9. 9
    دورية أكاديمية
    Machine vision-based gradient-boosted tree and support vector regression for tool life prediction in turning

    المؤلفون: Bagga, Prashant J., Patel, Kaushik M., Makhesana, Mayur A.Aff1, IDs00170023111372_cor3, Şirin, Şenol, Khanna, NavneetAff3, Aff4, Krolczyk, Grzegorz M.Aff4, IDs00170023111372_cor6, Pala, Adarsh D., Chauhan, Kavan C.

    المصدر: The International Journal of Advanced Manufacturing Technology. 126(1-2):471-485

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  10. 10
    دورية أكاديمية
    An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression

    المؤلفون: Zhiming Rong, Yuxiong Li, Li Wu, Chong Zhang, Jialin Li

    المصدر: Sensors, Vol 24, Iss 11, p 3394 (2024)

    مصطلحات موضوعية: cutting tool wear prediction, brownian motion, bayesian inference, uncertainty quantification, support vector regression, Chemical technology, TP1-1185

    وصف الملف: electronic resource

    Relation: https://www.mdpi.com/1424-8220/24/11/3394; https://doaj.org/toc/1424-8220

    URL الوصول: https://doaj.org/article/1c0b139cbd0b42619b2af122992246d7

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