Showing 4,361 - 4,380 results of 7,394 for search 'parameter machine', query time: 0.11s Refine Results
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    Pre-Compensation Strategy for Tracking Error and Contour Error by Using Friction and Cross-Coupled Control by Minghao Liu, Yongmin Zhu, Hongliang Xu, Weirui Liu, Hui Yang, Xingjun Gao

    Published 2024-08-01
    “…Furthermore, the factors of multi-axis parameter mismatching that impact the machining profile accuracy are analyzed for multi-axis control. …”
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    Deep Learning-Based Performance Prediction of Electric Submersible Pumps Under Viscous and Gas–Liquid Flow Conditions by Haiwen Zhu, Hong Yu, Qiang Sun, Qiuchen Wang, Haorong Jing, Rakhymzhan Abdikadyrov

    Published 2025-02-01
    “…The findings demonstrate the advantages of machine learning over traditional methods, including an enhanced prediction accuracy, practical guidelines for efficient parameter tuning, and the ability to address incomplete pump curve data. …”
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    Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal C... by Sandip Mane, Rajkumar Bhimgonda Patil, Sameer Al-Dahidi

    Published 2025-03-01
    “…The MCFA is a sustainable high-velocity pulsed jet technique that has emerged as an eco-friendly approach for reducing the environmental impact and improving surface integrity in machining processes. The influence of key machining parameters, such as cutting speed, feed rate, and depth of cut, on the performance indicators was modeled using the response surface methodology (RSM) and the artificial neural network (ANN). …”
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  10. 4370

    Meshing Characteristic Analysis of CBR Reducer Considering Tooth Modification and Manufacturing Error by Xiaoxiao Sun, Zhihao Qian, Yaochen Xu, Jiacai Huang

    Published 2024-12-01
    “…Thirdly, the optimization of the modification parameters is conducted using Particle Swarm Optimization (PSO) to determine the optimal VISPM and isometric and offset modification (IOM) parameter values. …”
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    Magnetic Field Simulation and Torque-Speed Performance of a Single-Phase Squirrel-Cage Induction Motor: An FEM and Experimental Approach by Jhonny Barzola, Jonathan Chandi

    Published 2025-06-01
    “…However, in the FEMM simulation, rotor resistance showed a higher error of around 20% due to unavailable data on the exact number of windings turns, a modifiable parameter that can be corrected through further adjustments in the simulation. …”
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    Thermal Error Analysis of Hydrostatic Turntable System by Jianlei Wang, Changhui Ke, Kaiyu Hu, Jun Zha

    Published 2025-07-01
    “…The amount of heat mainly depends on the working parameters, such as the oil supply pressure and the oil film gap. …”
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    Probabilistic Analysis of Surface Integrity in CNC Turning: Influence of Thermal Conductivity and Hardness on Roughness and Waviness Distributions by Mohammad S. Alsoufi, Saleh A. Bawazeer

    Published 2025-05-01
    “…Surface roughness and waviness parameters were measured across five zones per material under controlled conditions. …”
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