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  1. No Access

    Article

    A sensorless method for predicting force-induced deformation and surface waviness in robotic milling

    Process monitoring is essential to enable process parameter optimization, deformation prediction, and fault diagnosis in robotic milling. However, expensive costs and installation requirements limit the use of...

    Kenan Deng, Dong Gao, Chang Zhao, Yong Lu in The International Journal of Advanced Manu… (2023)

  2. No Access

    Article

    Robot error compensation based on incremental extreme learning machines and an improved sparrow search algorithm

    It is essential to improve the absolute position accuracy of industrial robot milling systems. In this paper, a method based on an incremental extreme learning machine model (IELM) is proposed to improve the ...

    Shoudong Ma, Kenan Deng, Yong Lu, Xu Xu in The International Journal of Advanced Manu… (2023)

  3. No Access

    Article

    Exploring the effectiveness of using a smartphone for position-oriented process monitoring

    Process monitoring is a practical approach for improving machining quality. However, expensive sensors and complex communication technologies render process-monitoring challenging. Smartphones with high-perfor...

    Kenan Deng, Dong Gao, Qinghe Guan… in The International Journal of Advanced Manu… (2023)