Search Results - "Ostad Ali Akbari, Vahid"

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  1. 1

    Vision-Assisted Probabilistic Inference of Milling Stability through Fully Bayesian Gaussian Process by Ostad Ali Akbari, Vahid, Eichenberger, Andrea, Wegener, Konrad

    Published in Metals (Basel ) (01-07-2024)
    “…This paper presents a physics-free Bayesian approach for the learning and inference of probabilistic stability charts in milling operations. The approach does…”
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    Journal Article
  2. 2

    Identification of in-process machine tool dynamics using forced vibrations in milling process by Ostad Ali Akbari, Vahid, Mohammadi, Yaser, Kuffa, Michal, Wegener, Konrad

    “…An accurate description of machine tool dynamics is essential for health monitoring, chatter prevention, and improvement of manufacturing accuracy. The…”
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    Journal Article
  3. 3

    Automated machine tool dynamics identification for predicting milling stability charts in industrial applications by Ostad Ali Akbari, Vahid, Schuppisser, Christian, Kuffa, Michal, Wegener, Konrad

    “…As the machine tool dynamics at the tooltip is a crucial input for chatter prediction, obtaining these dynamics for industrial applications is neither feasible…”
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    Journal Article
  4. 4

    Physics-informed Bayesian machine learning for probabilistic inference and refinement of milling stability predictions by Ostad Ali Akbari, Vahid, Kuffa, Michal, Wegener, Konrad

    “…This paper proposes an industrial-friendly approach based on physics-informed Bayesian machine learning for probabilistic inference and refinement of stability…”
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    Journal Article
  5. 5

    Physics-supported Bayesian machine learning for chatter prediction with process damping in milling by Ostad Ali Akbari, Vahid, Eichenberger, Andrea, Wegener, Konrad

    “…Chatter stability of milling operations is a complicated phenomenon causing serious productivity issues in the manufacturing industry, yet a shop-floor…”
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    Journal Article
  6. 6

    Substructure analysis of vibration-assisted drilling systems by Ostad Ali Akbari, Vahid, Ahmadi, Keivan

    “…Designing vibration-assisted drilling (VAD) toolholders requires accurately modeling the dynamics of the mechanical structure and its electromechanical…”
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    Journal Article
  7. 7

    Improving stability predictions in milling by incorporation of toolholder sound emissions by Ostad Ali Akbari, Vahid, Postel, M., Kuffa, M., Wegener, K.

    “…In this paper, a new approach for the identification of tool-holder contact parameters is proposed. The identification strategy is based on the sound emitted…”
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    Journal Article
  8. 8