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Weixing Zhang

Researcher at Nanjing Agricultural University

Publications -  8
Citations -  33

Weixing Zhang is an academic researcher from Nanjing Agricultural University. The author has contributed to research in topics: Chemistry & Polylactic acid. The author has an hindex of 2, co-authored 3 publications receiving 6 citations.

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Performance Comparison of Four Kinds of Straw/PLA/PBAT Wood Plastic Composites

TL;DR: In this paper, four kinds of straw fibers (sorghum, rice, corn, and soybean) as filling fibers, polylactic acid (PLA) and poly (adipic acid)/polybutylene terephthalate (PBAT) in a mixture (7:3) were used as matrix to prepare composite materials by a hot pressing molding process.
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Impact of Hot Water Treated Lotus Leaves on Interfacial and Physico-Mechanical of Gelatin/Lotus Leaf Composites

TL;DR: In this paper, the influence of leaf treatments on mechanical, physical and chemical properties and thermal stability of the gelatin/lotus leaf composites was analyzed, and it was found that longitudinal orientation delivered higher mechanical properties than that of the transverse and random orientation whether untreated or treated.
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Degradation of wheat straw/polylactic acid composites by Aspergillus niger

TL;DR: In this paper , Aspergillus niger was inoculated onto wheat straw/PLA composites containing different contents of sodium alginate, and the mass loss and characterization (microstructure, fourier transform infrared spectroscopy, thermal properties, and X-ray diffraction) of the composites were detected.
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Investigation and prediction of mechanical properties of hot water treated jute/poly(lactic acid) composite laminates using response surface methodology and genetic algorithm

Weixing Zhang, +1 more
- 23 Jun 2022 - 
TL;DR: In this paper , the usefulness of response surface methodology (RSM) and genetic algorithm (GA) in modeling and predicting the strength of jute/poly(lactic acid) (PLA) composite laminates was estimated.
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Modeling and Optimization of the Shear Strength of Cassava Starch-Based Adhesives Using Artificial Intelligence Methods

TL;DR: In this article , a GA-optimized ANN model was combined with the genetic algorithm (GA) to find the optimal combination of factors for the finalized optimized cassava starch adhesives (CSA-OP).