Showing 981 - 1,000 results of 7,454 for search 'tool parameters', query time: 0.20s Refine Results
  1. 981

    Concordance of Freehand 3D Ultrasound Muscle Measurements With Sarcopenia Parameters in a Geriatric Rehabilitation Ward by Jeremie Huet, Antoine Nordez, Aurélie Sarcher, Marie Mathieu, Christophe Cornu, Anne‐Sophie Boureau

    Published 2025-02-01
    “…ABSTRACT Background Sarcopenia is a devastating disease for older adults, but it lacks accessible and reliable tools for measuring total appendicular skeletal muscle mass (ASMM). …”
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    Article
  2. 982
  3. 983

    Assessment of Carotid Stiffness and Strain Parameters Using Speckle Tracking Strain Ultrasonography in Rheumatoid Arthritis Patients by Volkan Tasci, Ali Fuat Tekin, Huseyin Baygin, Alparslan Unsal, Mustafa Gok

    Published 2025-04-01
    “…All stiffness and strain parameters in axial and longitudinal planes showed statistically significant differences between the two groups (p < 0.05), except the circumferential strain parameter “displacement (DP)” (p = 0.074). …”
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  4. 984

    Identification of fuzzy boundaries of cutter power using control chart method by Andrey K. Tugengold, Andrey I. Izyumov, DmitryY. . Terekhov

    Published 2016-06-01
    “…A program sheet with the appropriate control charts and examples of their usage for the assessing the tool state and forecasting the boundary strip parameters is presented. …”
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  5. 985

    Investigating effects of cutting parameters on surface roughness machined by turning of C45 steel based on Taguchi methodology and ANOVA by Thanh Thuong Huynh, Hoai Tan Nguyen, Quoc Khanh Huynh, Van Cuong Nguyen, Van Huu Bui

    Published 2025-03-01
    “… The present study investigates the effects of cutting parameters (cutting speed, feed rate, and depth of cut) on the roughness of the finished surface during turning C45 steel using CNC QUICK TURN 150 SG (Mazak, Japan) with carbide inserts WNMG431PP CA525 (Kyocera Precision Tools TAC08616). …”
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    Article
  6. 986

    Investigating effects of cutting parameters on surface roughness machined by turning of C45 steel based on Taguchi methodology and ANOVA by Thanh Thuong Huynh, Hoai Tan Nguyen, Quoc Khanh Huynh, Van Cuong Nguyen, Van Huu Bui

    Published 2025-03-01
    “… The present study investigates the effects of cutting parameters (cutting speed, feed rate, and depth of cut) on the roughness of the finished surface during turning C45 steel using CNC QUICK TURN 150 SG (Mazak, Japan) with carbide inserts WNMG431PP CA525 (Kyocera Precision Tools TAC08616). …”
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    Article
  7. 987

    Statistical Modelling to Study the Implications of Coated Tools for Machining AA 2014 Using Grey Taguchi-Based Response Surface Methodology by Madhanagopal Manoharan, Arul Kulandaivel, Adinarayanan Arunagiri, Mohamad Reda A. Refaai, Simon Yishak, Gowthaman Buddharsamy

    Published 2021-01-01
    “…This paper discusses optimizing process parameters for machining the AA 2014 T 651 using a vertical milling machine with coated cutting tools. …”
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    Article
  8. 988

    Optimizing CNC turning of AISI D3 tool steel using Al₂O₃/graphene nanofluid and machine learning algorithms by Leta Daba Gemechu, Dame Alemayehu Efa, Robsan Abebe

    Published 2024-12-01
    “…Turning AISI (American Iron and Steel Institute) D3 tool steel can be challenging due to a lack of optimal process parameters and proper coolant application to achieve high surface quality and temperature control. …”
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    Article
  9. 989

    Ages of Large Magellanic Cloud Star Clusters with Gemini Multi-Object Spectrograph Integrated Spectroscopy: Systematic Comparison of Available Tools by Martina I. Tapia-Reina, Randa Asa’d, Andrea V. Ahumada, Carlos Gonzalo Díaz

    Published 2025-01-01
    “…We find that there is a good agreement between the parameters derived by the two tools and confirm that both tools provide consistent results with the literature parameters obtained from resolved photometry. …”
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    Article
  10. 990

    Multi-source data based refined transient modelling and analysis method for thermal performance of precision machine tool feed system by Yingjie Zheng, Lingtao Weng, Yuhong Dai, Yutao Fu, Kai Shi, Zheng Wang, Weiguo Gao, Dawei Zhang, Tian Huang

    Published 2025-09-01
    “…Variation in feed speed, acceleration, preload and other parameters significantly influence the inertia loss torque and friction torque within the feed system of machine tool. …”
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    Article
  11. 991

    Clinical significance of preoperative nutrition and inflammation assessment tools in gastrointestinal cancer patients undergoing surgery: a retrospective cohort study by Valentina Casalone, Sara Erika Bellomo, Enrico Berrino, Enrico Berrino, Simona Bo, Enrica Favaro, Alfredo Mellano, Elisabetta Fenocchio, Caterina Marchiò, Caterina Marchiò, Anna Sapino, Anna Sapino

    Published 2025-05-01
    “…Malnutrition risk, was assessed by preoperative validated Malnutrition Universal Screening Tool (MUST) score ≥2, lymphocyte count &lt;900 n/mm3, albumin value &lt;3.5 g/dL or a combination of the previous two parameters, the Prognostic Nutritional Index (PNI) &lt; 45; inflammation was evaluated using preoperative Neutrophil-to-Lymphocyte Ratio (NLR) &gt; 5, Platelet-to-Lymphocyte Ratio (PLR) &gt; 150 and Lymphocyte-to-Monocyte Ratio (LMR) &lt; 5. …”
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  12. 992

    The Influence of Tool Path Strategies on Cutting Force and Surface Texture during Ball End Milling of Low Curvature Convex Surfaces by Shaghayegh Shajari, Mohammad Hossein Sadeghi, Hamed Hassanpour

    Published 2014-01-01
    “…Various methodologies and computer tools have been developed by the manufacturers to improve efficiency of freeform surface machining. …”
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  13. 993

    Experimental Investigation of Heat-Treated Tool on Wire Electric Discharge Machining of Titanium Alloy (Ti-6Al-4V) by R. Manoj Samson, Ashvin Sridhar, R. Ranjith, Solomon Jenoris Muthiya, Joshuva Arockia Dhanraj, Murgayya S. Basavankattimath, Agegnehu Shara Shata

    Published 2022-01-01
    “…Ton (Pulse ON time), Toff (Pulse OFF time), wire feed, and Ip (Current) were the input parameters, and the response parameters such as surface roughness (Ra), material removal rate (MRR), tool wear rate (TWR), and recast layer thickness were optimized by TOPSIS optimization. …”
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  14. 994
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  17. 997

    NMR metabolomics as a complementary tool to brix-acid tests for navel orange quality control of long-term cold storage by Keeton H. Montgomery, Aya Elhabashy, Maria Del Carmen Reynoso Rivas, Gurreet Brar, V. V. Krishnan

    Published 2024-12-01
    “…Nevertheless, it is essential to note that many fruit metabolites can impact these parameters. Nuclear magnetic resonance (NMR) spectroscopy, particularly 1H-NMR, has become a popular tool for quality control in recent years due to its precision, sample preservation, and high throughput analysis. …”
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  18. 998
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  20. 1000

    Analysis of Surface Roughness and Machine Learning-Based Modeling in Dry Turning of Super Duplex Stainless Steel Using Textured Tools by Shailendra Pawanr, Kapil Gupta

    Published 2025-06-01
    “…To address this, this study employs flank-face textured cutting tools to enhance machining performance. Experiments were designed using the L<sub>27</sub> orthogonal array with three continuous factors, cutting speed, feed rate, and depth of cut, and one categorical factor, tool texture type (dimple, groove, and wave), along with surface roughness as an output parameter. …”
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