المؤلفون: Yuan-Yuan Ren, Bao-Guo Jia, Min Wan, Hui Tian

المصدر: Journal of Manufacturing and Materials Processing, Vol 8, Iss 3, p 122 (2024)

مصطلحات موضوعية: micro-tool FRFs, micro-milling cutting force, tool breakage curve, stability prediction, Production capacity. Manufacturing capacity, T58.7-58.8

وصف الملف: electronic resource

العلاقة: https://www.mdpi.com/2504-4494/8/3/122Test; https://doaj.org/toc/2504-4494Test

الوصول الحر: https://doaj.org/article/be8500ae1b2848e98f17c53ecf7176edTest

المؤلفون: Leilei Li, Yan Qin, Renke Kang, Zhigang Dong, Hongxia Song, Yidan Wang

المصدر: Applied Sciences; Volume 13; Issue 14; Pages: 8168

مصطلحات موضوعية: Nomex honeycomb core, ultrasonic cutting, disc cutter, tool wear, tool breakage

جغرافية الموضوع: agris

وصف الملف: application/pdf

العلاقة: Mechanical Engineering; https://dx.doi.org/10.3390/app13148168Test

الإتاحة: https://doi.org/10.3390/app13148168Test

المؤلفون: Li, Xuebing, Yue, Caixu, Liu, Xianli, Zhou, Jiaqi, Wang, Lihui

المصدر: Robotics and Computer-Integrated Manufacturing. 85

مصطلحات موضوعية: Tool breakage monitoring, Milling tool, Imbalanced data, Generative adversarial network, ACWGAN-GP, Deep learning

وصف الملف: print

الوصول الحر: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-335183Test

المؤلفون: Chao Wu, Yixi Hu, Tao Wang, Yeping Peng, Shucong Qin, Xianbo Luo

المصدر: Metals; Volume 12; Issue 11; Pages: 1825

مصطلحات موضوعية: tool abrasion, tool breakage, machine vision, tool status monitoring

وصف الملف: application/pdf

العلاقة: Metal Casting, Forming and Heat Treatment; https://dx.doi.org/10.3390/met12111825Test

الإتاحة: https://doi.org/10.3390/met12111825Test

المؤلفون: Habibe Gursoy, Isa Yesilyurt

المساهمون: Havacılık ve Uzay Bilimleri Fakültesi -- Havacılık ve Uzay Mühendisliği Bölümü, Demir, Habibe Gürsoy

المصدر: Transactions of the Canadian Society for Mechanical Engineering. 47:26-42

مصطلحات موضوعية: Detection, Engineering, Support vector machine, Ranrandom forest, SVM, Mechanical Engineering, Tool breakage, Milling, Neural network, Continuous wavelet transform

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af0088394e0a63f9a17ca0bfc5a0a1d9Test
https://doi.org/10.1139/tcsme-2022-0052Test

المؤلفون: Yifan Gao, Jeong Hoon Ko, Heow Pueh Lee

المصدر: Metals; Volume 11; Issue 2; Pages: 215

مصطلحات موضوعية: tool stress regulation, feed rate scheduling, finite element method, uncut chip geometry, tool breakage prediction

وصف الملف: application/pdf

العلاقة: Computation and Simulation on Metals; https://dx.doi.org/10.3390/met11020215Test

الإتاحة: https://doi.org/10.3390/met11020215Test

المؤلفون: Min-Jae Jeong, Sang-Woo Lee, Woong-Ki Jang, Hyung-Jin Kim, Young-Ho Seo, Byeong-Hee Kim

المصدر: Sensors, Vol 21, Iss 8, p 2808 (2021)

مصطلحات موضوعية: tool condition monitoring, drill tool wear, drill tool breakage, infrared sensor, Chemical technology, TP1-1185

العلاقة: https://www.mdpi.com/1424-8220/21/8/2808Test; https://doaj.org/toc/1424-8220Test; https://doaj.org/article/1197c4069fa44824a4933dd7cdd8b07cTest

الإتاحة: https://doi.org/10.3390/s21082808Test
https://doaj.org/article/1197c4069fa44824a4933dd7cdd8b07cTest

المؤلفون: Guang Li, Yan Fu, Duanbing Chen, Lulu Shi, Junlin Zhou

المصدر: Sensors; Volume 20; Issue 17; Pages: 4896

مصطلحات موضوعية: tool breakage, deep learning, anomaly detection, spindle current

وصف الملف: application/pdf

العلاقة: Physical Sensors; https://dx.doi.org/10.3390/s20174896Test

الإتاحة: https://doi.org/10.3390/s20174896Test

المؤلفون: Dastgerdi, Amin Karimi, Lange, Dirk, Mercorelli, Paolo

المساهمون: Bansal, Jagdish Chand, Sharma, Harish, Chakravorty, Antorweep

المصدر: Dastgerdi , A K , Lange , D & Mercorelli , P 2023 , Faulty Process Detection Using Machine Learning Techniques . in J C Bansal , H Sharma & A Chakravorty (eds) , Congress on Smart Computing Technologies : Proceedings of CSCT 2022 . Smart Innovation, Systems and Technologies , Springer Singapore , pp. 321-333 , Congress on Smart Computing Technologies, 2022 , New Delhi , India , 11.12.22 . https://doi.org/10.1007/978-981-99-2468-4_25Test

مصطلحات موضوعية: Drill tool breakage, Faulty process detection, Machine learning, Tool condition monitoring, /dk/atira/pure/core/keywords/559014392, Engineering

الإتاحة: https://doi.org/10.1007/978-981-99-2468-4_25Test
http://fox.leuphana.de/portal/de/publications/faulty-process-detection-using-machine-learning-techniquesTest(8a631c4d-5625-4b81-85d1-f38086471d6d).html
http://www.scopus.com/inward/record.url?scp=85168996986&partnerID=8YFLogxKTest
https://www.mendeley.com/catalogue/0f74059d-3666-3c6a-a64f-0f390f1ab81eTest/

المؤلفون: Kuntoğlu, Mustafa., Sağlam, Hacı.

المساهمون: Selçuk Üniversitesi, Teknoloji Fakültesi, Makine Mühendisliği Bölümü, Kuntoğlu, Mustafa., Sağlam, Hacı.

مصطلحات موضوعية: Anova, Optimization, Tool wear, Tool breakage, Taguchi method

وصف الملف: application/pdf

العلاقة: MEASUREMENT; Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı; Kuntoğlu, M., Sağlam, H. (2019). Investigation of Progressive Tool Wear for Determining of Optimized Machining Parameters in Turning. Measurement, 140, 427-436.; https://dx.doi.org/10.1016/j.measurement.2019.04.022Test; https://hdl.handle.net/20.500.12395/37950Test; 140; 427; 436

الإتاحة: https://doi.org/20.500.12395/37950Test
https://doi.org/10.1016/j.measurement.2019.04.022Test
https://hdl.handle.net/20.500.12395/37950Test