Showing 101 - 120 results of 188 for search 'Rotation cutting methods', query time: 0.11s Refine Results
  1. 101

    Monitoring biweekly dynamics of pan-tropical industrial plantations over 6 years using 100 m PROBA-V data by Audric Bos, Céline Lamarche, Fabrizio Niro, Pierre Defourny

    Published 2025-06-01
    “…This study addresses this gap by developing a near real-time sensor-agnostic method for monitoring deforestation and plantation rotation. …”
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    Article
  2. 102

    Effect of toe box size on basketball-specific movement performance by Jialu Zhang, Jialu Zhang, Zhaowei Chu, Taoping Bai, Taoping Bai, Ming Zhang, Ming Zhang, Weiyan Ren, Zhongyou Li, Zhongyou Li, Zhongyou Li, Zhongyou Li, Wentao Jiang, Wentao Jiang, Wentao Jiang

    Published 2025-08-01
    “…Thirty basketball players (25 males, five females; aged 18–20 years) performed standardized 5-m sprints, 180° lateral shuffling, and 45° sidestep cutting in six shoe versions. These versions systematically altered the toe allowance dividing line (TADL) (0, 1.5, 3 mm) and the sole center line (SCL) rotation (0°, 2°). …”
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  3. 103

    Automated combined unit with universal tillage adapter by B. Kh. Akhalaya, Yu. S. Tsench, A. V. Mironova

    Published 2024-06-01
    “…(Research purpose) The study aims to develop an automated combined unit equipped with a universal adapter designed to improve soil quality and increase the stability of the unit’s movement. (Materials and methods) The tillage adapter consists of two arc-shaped segments mounted at the front on a common axis that allows rotation. …”
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  4. 104

    Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

    Published 2023-12-01
    “…The present study compares the use of ANN and Random Forest to analyze the data from reaming operations to predict the torque and compares it with those of the Random Forest method and the polynomial regression model. The model is trained and tested using a well-structured dataset that includes multiple input parameters (e.g., material, tool radius, and rotation angle) and the related reaming outputs (e.g., torque) in the suggested supervised learning method. …”
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  5. 105

    Simulation-Based Analysis of Pressure Distribution on Rotary Soil Loosener Blades by V. I. Myalenko

    Published 2025-03-01
    “…These measurements facilitated the development of a regression equation that defines the external loading characteristics of the loosener blades. (Conclusions) Soil cutting during loosening with a rotary soil loosener occurs through three cutting edges: the lower blade edge and the two side edges of the blade. …”
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  6. 106

    Indoor Air Pollution Source Localization Based on Small-Sample Training Convolutional Neural Networks by Tiancheng Ye, Mengtao Han

    Published 2025-04-01
    “…By using the optimal cutting ratio (α = 0.25) and a rotation-enhanced dataset (θ = 10°, n = 36), the model reduced the cross-space sample requirement to 1/5 of that of the benchmark scenario while ensuring the accuracy of spatial representation. …”
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  7. 107

    СOMBINED LABORATORY ABRASION TEST OF WORKING TOOLS MATERIALS by S. A. Sidorov, S. N. Potkin, D. A. Mironov, I. V. Liskin

    Published 2016-12-01
    “…The authors developed the method of a research of materials wear with use of two stands. …”
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  8. 108

    A Solution for Predicting the Timespan Needed for Grinding Roller Bearing Rings by Cezarina Chivu, Mitica Afteni, Gabriel Radu Frumusanu, Florin Susac

    Published 2025-04-01
    “…The cause variables selected to describe the grinding process of the roller bearing rings were the inner and outer diameter of the ring, its width and weight, the machined surface roughness, the grinding stone rotation speed, the cutting speed, the feed rate, and the cutting depth, while the effect variable to be used by the process planner as the decision criterion was the timespan.…”
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  9. 109

    Research on the Timing of Replacing Worn Milling Cutters by Using Wear Transition Percentage Constructed Based on Spindle Current Clutter Signals by Zhihao Liu, Min Wang, Zhishan Wang, Tao Zan, Xiangsheng Gao, Peng Gao

    Published 2025-05-01
    “…Firstly, the Vold–Kalman filter is employed to remove the rotation frequency and its harmonic components from the spindle current, resulting in spindle current clutter signals (SCCS) with low correlation with cutting parameters. …”
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  10. 110

    Flexible intramedullary nail fixation for paediatric tibial diaphysis fractures by Rojgar Anwar Tawfeeq, Omer Ameen Saeed

    Published 2023-06-01
    “…Nail protrusion and skin irritation were the most common complications, found in 10 patients (20%), and reoperation was done in three of them by cutting tip of the nail. Conclusion:Flexible intramedullary nails are effective and minimally invasive method for treatment of paediatric tibial diaphysis fractures; they control the length, angulations and rotation, as they provide stability through three points of fixations for each nail. …”
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  11. 111

    A Normative Observational Study of the Relationship of the Philtral Ridges to the Columellar Base in South-Indian Population and its Significance on Cleft Lip Repair by Deyonna Deepthi Fernandes, Syed Altaf Hussain

    Published 2021-09-01
    “…Conclusion These finding assume a significance since, in a substantial proportion of the studied population, techniques of cleft lip repair such as the rotation advancement method, place a scar that crosses the upper third of the philtral ridge which may be undesirable.…”
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  12. 112

    Research on Failure Characteristics and Zoning Control Technology of Thick-Soft Surrounding Rock for Deep Gob-Side Entry Retaining by Jingke Wu, Wenbin Zhou, Hong Tao, Haowen Bai, Wei Yin, Wenhu Gu, Peng Zhang, Zejun Liu, Jiao Zhang

    Published 2020-01-01
    “…Systematic research is conducted on the lithologic characteristics, failure characteristics, and control methods of the surrounding rock. The research findings are as follows: (1) The low strength, softening, and water swelling of thick mudstone, as well as its cataclasis, dilatancy, and long-term creep under strong mining and high stress are the objective reasons for large deformation of the surrounding rock. (2) Due to the weak stability of the surrounding rock-support structure and low collaborative roof side bearing capacity, no complete supporting structure is formed with the supporting system, causing the support body in each area to be crushed one by one, which is the subjective reason for the deformation and failure of the surrounding rock. (3) The deformation and failure characteristics of thick and soft surrounding rock in gob-side entry retaining are primarily divided into eight types: roof bending and sinking type, roof cutting along filling body, rib spalling type, roof fall type, filling body rotation type, filling body crushing type, roof step type, and roof cutting along the coal side. …”
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  13. 113

    Comparison of mechanical properties and shaping performance of ProGlider and ProTaper ultimate slider by Jeyi Song, Ji-Hyun Jang, Seok Woo Chang, Shin Hye Chung, Soram Oh

    Published 2025-01-01
    “…Conclusions PG has a constant square cross-section, while PUS has a variable cross-section and alternating cutting-edge. Using PUS at recommended speed of 400 rpm ensures safe use with minimal screw-in force and surface alteration. …”
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  14. 114

    Design Features of the Seeder for Direct Sowing of Grain Crops by M. A. Eruslanova, K. V. Nemtinov, K. A. Eruslanov, V. A. Nemtinov

    Published 2025-03-01
    “…Seeds are supplied through hollow rotating shafts of spherical cutting discs. These discs are mounted on a frame with their concave part facing the soil surface. …”
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  15. 115

    The attitude of medical students toward applying virtual dissection table in the learning anatomy of thorax by Hamid Hojatdoost, Forouzan Kavarizadeh, Leila Noori, Vali Baigi, Yousef Mohamadi

    Published 2025-03-01
    “…Introduction:  The integration of simulation technologies in medical education represents a cutting-edge approach to enhancing learning experiences. …”
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  16. 116

    Numerical Analysis of the Mechanical Behavior and Failure Mode of Jointed Rock under Uniaxial Tensile Loading by Yang Zhao, Yongning Wu, Qing Xu, Lishuai Jiang, Wanpeng Huang, Peipeng Zhang, Zhongtao Niu

    Published 2020-01-01
    “…The effects of different joint angles (the inclination angle α, rotation angle β, and superimposed angle γ of α and β, where γ is the angle between the joint and horizontal plane), the density (n), and the rate of cutting area (RCA) of the specimen loading surface (LSS) on the tensile strength (σt), elastic modulus in tension (Et), and failure mode of the specimens were analyzed. …”
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  17. 117

    Evaluation of herbaceous legumes for crop-livestock systems in eastern Indonesia by Kendrick Cox, Jacob Nulik, Neal Dalgliesh, Esnawan Budisantoso, Paskalis Fernandes, Jefrianus Praing, Philip Dida, Jak Uran, Marcel Meomuku, Debora Kana Hau, Tony Basuki, Lindsay Bell

    Published 2025-01-01
    “…Clitoria ternatea regrew consistently after cutting and forage removal providing potential for extended forage production as growing conditions allow.…”
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  18. 118

    Advancing bridge resilience: a review of monitoring technologies for flood-prone infrastructure [version 2; peer review: 2 approved] by Vanni Nicoletti, Karina Buka-Vaivade, Fabrizio Gara

    Published 2025-03-01
    “…A central feature of this review is the extensive use of case studies, illustrating diverse SHM methods applied globally to monitor challenges such as debris accumulation, hydrodynamic forces, and scour—primary causes of bridge failures. …”
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    Article
  19. 119

    Distribution Characteristics of Machining Error in Turning Large Pitch External Thread by ZHANG Wei, ZHENG Min-li, JIANG Bin, LI Zhe, DING Yan

    Published 2019-04-01
    “…When we turn large pitch external threads with axial layered cutting method, the formation process of thread surface is unstable due to the influence of spindle rotation error, tool wear and vibration, and the distribution of processing errors along the axis is diverse. …”
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  20. 120