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Rhoda Afriyie Mensah
Researcher at Nanjing University of Science and Technology
Publications - 37
Citations - 513
Rhoda Afriyie Mensah is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Flammability & Engineering. The author has an hindex of 8, co-authored 17 publications receiving 133 citations.
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Circular economy in biocomposite development: State-of-the-art, challenges and emerging trends
Vigneshwaran Shanmugam,Rhoda Afriyie Mensah,Michael Försth,Gabriel Sas,Ágoston Restás,Cyrus Addy,Qiang Xu,Lin Jiang,Rasoul Esmaeely Neisiany,Shuvra Singha,Gejo George,Tomlal Jose E,Filippo Berto,Mikael S. Hedenqvist,Oisik Das,Seeram Ramakrishna +15 more
TL;DR: In this article, a review of the state-of-the-art technologies for the adoption of the circular economy concept in biocomposite development is presented, highlighting the opportunities and challenges pertaining to the implementation of CE have been discussed in detail.
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A Review on the Flammability Properties of Carbon-Based Polymeric Composites: State-of-the-Art and Future Trends.
Karthik Babu,Gabriella Rendén,Rhoda Afriyie Mensah,Nam Kyeun Kim,Lin Jiang,Qiang Xu,Ágoston Restás,Rasoul Esmaeely Neisiany,Mikael S. Hedenqvist,Michael Försth,Alexandra Byström,Oisik Das +11 more
TL;DR: The effects of a wide variety of carbon-based material addition on reaction-to-fire of the polymer Composites are reviewed and the focus is dedicated to biochar-based reinforcements for use in flame retardant polymer composites.
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Thermal kinetics and reactive mechanism of cellulose nitrate decomposition by traditional multi kinetics and modeling calculation under isothermal and non-isothermal conditions
TL;DR: In this article, a high-fitting degree was obtained for isothermal and non-isothermal DSC experiments of cellulose nitrate, and the model corresponding to isothermal conditions was f(α) = 4(1 − α)[−ln( 1 − α)]3/4, while for nonisothermal conditions the model was identified as f( α) = (1 −α)3.
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Application of Adaptive Neuro-Fuzzy Inference System in Flammability Parameter Prediction
TL;DR: It can be inferred that ANFIS can handle the non-linearities in flammability modeling, making it apt as a modeling technique for accurate and effective flammable assessments.
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The Flame Retardancy of Polyethylene Composites: From Fundamental Concepts to Nanocomposites.
Erfan Rezvani Ghomi,Fatemeh Khosravi,Zahra Mossayebi,Ali Saedi Ardahaei,Fatemeh Morshedi Dehaghi,Masoud Khorasani,Rasoul Esmaeely Neisiany,Oisik Das,Atiye Marani,Rhoda Afriyie Mensah,Lin Jiang,Qiang Xu,Michael Försth,Filippo Berto,Seeram Ramakrishna +14 more
TL;DR: In this review article, research papers from the past 10 years on the flame retardancy of PE systems are comprehensively reviewed and classified based on the additive sources.