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Showing 1 - 20 results of 145 for search '"Machining"', query time: 0.02s Refine Results
  1. 1
    Performance evaluation of minimal quantity lubrication in high speed machining of stainless steel using coated carbide tools /
    by Ahmad Hamdan Ariffin
    Published 2010
    Subjects: “...High-speed machining....”
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  2. 2
    Effect of zirconium diboride addition on the properties of sintered Y-TZP ceramic /
    by Chew, Kelvin Wai Jin
    Published 2015
    Subjects: “...Ceramic materials Machining....”
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  3. 3
    Tool condition monitoring in turning with multiple sensors /
    by Bhuiyan, Md. Sayem Hossain
    Published 2012
    Subjects: “...Machining....”
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  4. 4
    A study of lubrication performance with suspended molybdenum disulfide (MoS[2]) nanoparticle in machining of aerospace AL6061-T6 alloy /
    by Rahmati, Bizhan
    Published 2012
    Subjects: “...Machining Materials....”
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  5. 5
    A study of ceramic tool fracture in interrupted turning /
    by Husni
    Published 2010
    Subjects: “...Ceramic materials Machining....”
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  6. 6
    Optimization of cuting parameters for ceramic tool having different edge geometries in hard turning of tool steel /
    by Rohaizad Jamaludin
    Published 2015
    Subjects: “...Ceramic materials Machining....”
    Thesis Book
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  7. 7
    Relationship between power consumption and input turning parameters for turned parts /
    by Lelana, Hani Kurniati
    Published 2011
    Subjects: “...Machining Equipment and supplies Energy consumption....”
    Thesis Book
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  8. 8
    The effect of lubricant entrainment direction on high speed milling of stainless steel /
    by Natasha A. Raof
    Published 2011
    Subjects: “...High-speed machining....”
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  9. 9
    Environmental performance analysis using Life Cycle Assessment (LCA) on dry machining and wet machining processes /
    by Roslan Muhamed
    Published 2010
    Subjects: “...Machining Environmental aspects....”
    Thesis Book
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  10. 10
    Effects of end milling cutting parameters and lubrication modes on residual stress and surface quality in medium carbon steel machining /
    by Nik Masmiati Nik Pa
    Published 2015
    Subjects: “...Machining....”
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  11. 11
    Evaluation of tool edge geometry for turning of assab DF-3 and aliminium using taguchi method /
    by Mohd Muhaymin Muhamad
    Published 2015
    Subjects: “...Hard materials Machining Mathematical models...”
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  12. 12
    Design and manufacturing of a new CNC gantry machine with double motion feed drive system /
    by Besharati, Seyed Reza
    Published 2015
    Subjects: “...Machine-tools Design and construction....”
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  13. 13
    Machine translation from the perspective of relevance theory : an evaluative study /
    by Yeo, Yvonne Hwee Hong
    Published 2002
    Subjects: “...Machine translating....”
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  14. 14
    Predicting the outcomes of football matches using machine learning techniques /
    by Haruna, Usman
    Published 2015
    Subjects: “...Machine learning....”
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  15. 15
    Classification of labour pain using electroencephalogram signal based on wavelet method /
    by Sai, Chong Yeh
    Published 2020
    Subjects: “...Support vector machines....”
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  16. 16
    A translation model using hybrid approaches to improve Arabizi dialect sentiment analysis in business tweet’s /
    by Abo, Mohamed Elhag Mohamed
    Published 2022
    Subjects: “...Translating machines....”
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  17. 17
    Two-state solated probabilistics automata /
    by Tan, Choon Peng
    Published 1972
    Subjects: “...Sequential machine theory....”
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  18. 18
    Automated scanned receipt processing with optical character recognition and machine learning /
    by Hor, Zhang Neng
    Published 2022
    Subjects: “...Machine learning....”
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  19. 19
    Deep learning-based breast cancer detection and classification using histopathology images /
    by Murtaza, Ghulam
    Published 2021
    Subjects: “...Deep learning (Machine learning)...”
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  20. 20
    Interpretable deep learning radiomics with synthetic data augmentation for breast cancer diagnosis /
    by Pang, Ting
    Published 2022
    Subjects: “...Deep learning (Machine learning)...”
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