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  1. 6861

    An Advanced Approach for Predicting Workpiece Surface Roughness Using Finite Element Method and Image Processing Techniques by Taoming Chen, Chun Li, Zhexiang Zou, Qi Han, Bing Li, Fengshou Gu, Andrew D. Ball

    Published 2024-11-01
    “…Thus, the proposed model provides a precise predictive tool for surface roughness, offering valuable guidance for optimizing machining parameters and supporting proactive control in the turning process, ultimately enhancing machining efficiency and quality.…”
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    Article
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    A Review of Finite Element Studies on Laser-Based Acoustic Applications in Solid Media by Evaggelos Kaselouris, Vasilis Dimitriou

    Published 2025-03-01
    “…Furthermore, this review provides a comprehensive synthesis of FEM simulations and experimental validation while also highlighting the emerging role of artificial intelligence and machine learning in optimizing FEM models and improving computational efficiency, which has not been addressed in previous studies. …”
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  4. 6864

    Research on Active–Passive Training Control Strategies for Upper Limb Rehabilitation Robot by Yongming Yang

    Published 2024-11-01
    “…It establishes an upper limb kinematic model based on the Lagrange method and builds a man–machine integration dynamics model for upper limb rehabilitation in MATLAB (R2016a)/Simulink. …”
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  8. 6868

    Enhanced Force Sensing Method Using BP Neural Network and Sensitive Point Analysis for Forging Manipulator Clamping Mechanism in Operational Conditions by Yangtao Xing, Fugang Zhai, Zhiqiang He, Xiaonan Wang, Runyuan Zhao

    Published 2025-03-01
    “…Next, a BP neural network model is constructed to analyze and decouple the forging state, exploring the impact of hidden layer neuron nodes on decoupling effectiveness and determining the optimal configuration of these nodes. …”
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  15. 6875

    Efficient Real-Time Tool Chatter Detection Through Bandpass Filtering by Javier Arenas, Jorge Martínez de Alegría, Patxi X. Aristimuño, Vicente Gómez

    Published 2025-04-01
    “…This enables efficient and optimal integration into the machine. The developed chatter detection system was validated through machine-based experimental testing.…”
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  20. 6880

    Identification of Tool-Wear State Using Information Fusion and SSA–BP Neural Network by Zishuo Wang, Hongwei Cui, Shuning Liang, Tao Ding, Xingquan Gao

    Published 2025-03-01
    “…Lastly, a tool-wear-state identification model based on the SSA–BP neural network is constructed. …”
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