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Yinghong Peng

Researcher at Shanghai Jiao Tong University

Publications -  238
Citations -  3442

Yinghong Peng is an academic researcher from Shanghai Jiao Tong University. The author has contributed to research in topics: Finite element method & Deformation (engineering). The author has an hindex of 26, co-authored 225 publications receiving 2545 citations.

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An integrated AHP and VIKOR for design concept evaluation based on rough number

TL;DR: Rough number is introduced to aggregate individual judgments and preferences and deal with the vagueness in decision-making and shows that the proposed decision- making method can effectively enhance the objectivity in design concept evaluation under subjective environment.
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EMG-Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks.

TL;DR: The experimental studies show that the proposed model has higher estimation accuracy and better robustness with respect to time and the combination of CNNs and RNNs can improve the model performance compared with using CNNs alone.
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Smooth and time-optimal S-curve trajectory planning for automated robots and machines

TL;DR: A smooth and time-optimal S-curve trajectory planning method is proposed to meet the requirements of high-speed and ultra-precision operation for robotic manipulators in modern industrial applications by utilizing a piecewise sigmoid function to establish a jerk profile with suitably chosen phase durations.
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Strain rate sensitivities of deformation mechanisms in magnesium alloys

TL;DR: In this article, the effects of strain rate sensitivity on mechanical behavior of Mg alloys under a wide range of applied strain rates by using an improved self-consistent polycrystal plasticity model is investigated.
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Experiment and crystal plasticity analysis on plastic deformation of AZ31B Mg alloy sheet under intermediate temperatures: How deformation mechanisms evolve

TL;DR: In this paper, the evolution of anisotropy (r-value), texture, and microstructure with respect to temperature and strain are examined, and the correlation between the experimental observations and deformation modes evolution is probed.