Showing 241 - 260 results of 1,138 for search '"Friction"', query time: 0.06s Refine Results
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    Effect of Alternating Magnetic Field Treatment on the Friction/Wear Resistance of 20Cr2Ni4A Under Lubricated Conditions by Sufyan Akram, Mose Bevilacqua, Anatolii Babutskyi, Andreas Chrysanthou

    Published 2025-01-01
    “…The reasons for the effect of the alternating magnetic field treatment on the friction and wear properties are discussed in terms of the contribution of the magnetic field to the austenite-to-martensite phase transformation and the interaction between the magnetic domain walls and dislocations.…”
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    Evaluation of Self-Friction Three-Center Nuclear Attraction Integrals with Integer and Noninteger Principal Quantum Numbers n over Slater Type Orbitals by Ebru Çopuroğlu

    Published 2017-01-01
    “…We have proposed a new approach to evaluate self-friction (SF) three-center nuclear attraction integrals over integer and noninteger Slater type orbitals (STOs) by using Guseinov one-range addition theorem in standard convention. …”
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    Influences of multi-pass friction stir alloying on characterization of AZ91D alloy-based dual reinforcement bio-ceramic nano-composites by Surendra Kumar Patel, Guoxin Dai, Lu Liu, Zhen Sun, Lei Shi

    Published 2025-01-01
    “…The surface composites were successfully fabricated by friction stir processing method with a rotation speed of 800 rpm, travel speed of 80 mm/min and 2.5° tilt angle at multi-passes. …”
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    Friction Spot Joining of Aluminium Alloy AA 5052 To Pre-Holed Steel AISI 1006 By Extrusion Aluminium Into A Rivet Head Die by Isam Tareq Abdullah

    Published 2022-06-01
    “…The aluminium was extruded through the rivet head die passing through the steel hole using a friction spot technique by a rotating tool. Effect of the hole diameter, rotating speed and plunging depth of the tool on the rivet head dimensions and joints shear force and strength were analysed by the design of experiments method. …”
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    Optimizing the Prediction Accuracy of Friction Capacity of Driven Piles in Cohesive Soil Using a Novel Self-Tuning Least Squares Support Vector Machine by Doddy Prayogo, Yudas Tadeus Teddy Susanto

    Published 2018-01-01
    “…This research presents a novel hybrid prediction technique, namely, self-tuning least squares support vector machine (ST-LSSVM), to accurately model the friction capacity of driven piles in cohesive soil. …”
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