F
Fei Yin
Researcher at Purdue University
Publications - 35
Citations - 1336
Fei Yin is an academic researcher from Purdue University. The author has contributed to research in topics: Shot peening & Peening. The author has an hindex of 15, co-authored 26 publications receiving 941 citations. Previous affiliations of Fei Yin include Wuhan University of Technology.
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Preparation of carbon coated MoS2 flower-like nanostructure with self-assembled nanosheets as high-performance lithium-ion battery anodes
TL;DR: In this article, C@MoS2 composites with thin carbon overcoats stabilize the disordered structure of flower-like MoS2 nanosheets to accommodate more lithium-ions intercalation and maintain the structural and electrical integrity during cycling processes.
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Heterogeneous damage in Li-ion batteries: Experimental analysis and theoretical modeling
TL;DR: In this paper, the authors assess the heterogeneous electrochemistry and mechanics in a composite electrode of commercial batteries using synchrotron X-ray tomography analysis and microstructure-resolved computational modeling.
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A hybrid of back propagation neural network and genetic algorithm for optimization of injection molding process parameters
Fei Yin,Huajie Mao,Lin Hua +2 more
TL;DR: In this article, a hybrid optimization method for optimizing the process parameters during plastic injection molding (PIM) is presented, which combines a back propagation (BP) neural network method with an intelligence global optimization algorithm, i.e. GA.
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Back Propagation neural network modeling for warpage prediction and optimization of plastic products during injection molding
TL;DR: In this article, a Back Propagation (BP) neural-network model for warpage prediction and optimization of injected plastic parts has been developed based on key process variables including mold temperature, melt temperature, packing pressure, packing time and cooling time during PIM.
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Constitutive modeling for flow behavior of GCr15 steel under hot compression experiments
TL;DR: In this article, the thermal compressive deformation behavior of GCr15 (AISI-52100), one of the most commonly used bearing steels, was studied on the Gleeble-3500 thermo-simulation system at temperature range of 950-1150°C and strain rate range of 0.1-10 s−1.