These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

117 related articles for article (PubMed ID: 34620900)

  • 1. Integrating object detection and image segmentation for detecting the tool wear area on stitched image.
    Lin WJ; Chen JW; Jhuang JP; Tsai MS; Hung CL; Li KM; Young HT
    Sci Rep; 2021 Oct; 11(1):19938. PubMed ID: 34620900
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generic Cutting Force Modeling with Comprehensively Considering Tool Edge Radius, Tool Flank Wear and Tool Runout in Micro-End Milling.
    Gao S; Duan X; Zhu K; Zhang Y
    Micromachines (Basel); 2022 Oct; 13(11):. PubMed ID: 36363826
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Wear and Breakage Detection of Integral Spiral End Milling Cutters Based on Machine Vision.
    Wei W; Yin J; Zhang J; Zhang H; Lu Z
    Materials (Basel); 2021 Sep; 14(19):. PubMed ID: 34640087
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multivariate time series data of milling processes with varying tool wear and machine tools.
    Denkena B; Klemme H; Stiehl TH
    Data Brief; 2023 Oct; 50():109574. PubMed ID: 37808546
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The Research of Tool Wear Mechanism for High-Speed Milling ADC12 Aluminum Alloy Considering the Cutting Force Effect.
    Meng X; Lin Y; Mi S
    Materials (Basel); 2021 Feb; 14(5):. PubMed ID: 33668143
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Study on In-Situ Tool Wear Detection during Micro End Milling Based on Machine Vision.
    Zhang X; Yu H; Li C; Yu Z; Xu J; Li Y; Yu H
    Micromachines (Basel); 2022 Dec; 14(1):. PubMed ID: 36677161
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cutting Performance of Different Coated Micro End Mills in Machining of Ti-6Al-4V.
    Liang Z; Gao P; Wang X; Li S; Zhou T; Xiang J
    Micromachines (Basel); 2018 Nov; 9(11):. PubMed ID: 30715067
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tool Wear Monitoring in Milling Based on Fine-Grained Image Classification of Machined Surface Images.
    Yang J; Duan J; Li T; Hu C; Liang J; Shi T
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366114
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Effect of ball nose flank wear on surface integrity in high-speed hard milling of AISI 4340 steel using MQL.
    Hassanpour H; Rasti A; Khosrowshahi JH; Farshi SS
    Heliyon; 2024 Sep; 10(18):e37337. PubMed ID: 39309910
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic Identification of Tool Wear Based on Convolutional Neural Network in Face Milling Process.
    Wu X; Liu Y; Zhou X; Mou A
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31487810
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temperature Field of Tool Engaged Cutting Zone for Milling of Titanium Alloy with Ball-End Milling.
    Yang S; He C; Zheng M; Wan Q; Zhang Y
    Micromachines (Basel); 2018 Dec; 9(12):. PubMed ID: 30567371
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Tool-Wear-Estimation System in Milling Using Multi-View CNN Based on Reflected Infrared Images.
    Jang WK; Kim DW; Seo YH; Kim BH
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772248
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Tool Wear Prediction When Machining with Self-Propelled Rotary Tools.
    Umer U; Mian SH; Mohammed MK; Abidi MH; Moiduddin K; Kishawy H
    Materials (Basel); 2022 Jun; 15(12):. PubMed ID: 35744115
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Cutting Performance Evaluation of the Coated Tools in High-Speed Milling of AISI 4340 Steel.
    Li Y; Zheng G; Cheng X; Yang X; Xu R; Zhang H
    Materials (Basel); 2019 Oct; 12(19):. PubMed ID: 31591321
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fundamental Investigation into Tool Wear and Surface Quality in High-Speed Machining of Ti6Al4V Alloy.
    Abbas AT; Al Bahkali EA; Alqahtani SM; Abdelnasser E; Naeim N; Elkaseer A
    Materials (Basel); 2021 Nov; 14(23):. PubMed ID: 34885282
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Optimization Method of Tool Parameters and Cutting Parameters Considering Dynamic Change of Performance Indicators.
    Yue D; Zhang A; Yue C; Liu X; Li M; Hu D
    Materials (Basel); 2021 Oct; 14(20):. PubMed ID: 34683770
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Tool Wear and Milling Characteristics for Hybrid Additive Manufacturing Combining Laser Powder Bed Fusion and In Situ High-Speed Milling.
    Sommer D; Pape D; Esen C; Hellmann R
    Materials (Basel); 2022 Feb; 15(3):. PubMed ID: 35161178
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Publisher Correction: Integrating object detection and image segmentation for detecting the tool wear area on stitched image.
    Lin WJ; Chen JW; Jhuang JP; Tsai MS; Hung CL; Li KM; Young HT
    Sci Rep; 2021 Nov; 11(1):21729. PubMed ID: 34725427
    [No Abstract]   [Full Text] [Related]  

  • 19. Hybrid ABC Optimized MARS-Based Modeling of the Milling Tool Wear from Milling Run Experimental Data.
    García Nieto PJ; García-Gonzalo E; Ordóñez Galán C; Bernardo Sánchez A
    Materials (Basel); 2016 Jan; 9(2):. PubMed ID: 28787882
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Laser-Assisted High Speed Machining of 316 Stainless Steel: The Effect of Water-Soluble Sago Starch Based Cutting Fluid on Surface Roughness and Tool Wear.
    Yasmin F; Tamrin KF; Sheikh NA; Barroy P; Yassin A; Khan AA; Mohamaddan S
    Materials (Basel); 2021 Mar; 14(5):. PubMed ID: 33803364
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.