scholarly journals Oxidative Stability of Acylated and Hydrogenated Ricinoleates Using Synthetic and Natural Antioxidants

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
F. Murilo T. Luna ◽  
Davi Costa Salmin ◽  
Vanessa S. Santiago ◽  
Francisco J. N. Maia ◽  
Francisco O. N. Silva ◽  
...  
Keyword(s):  
Oxidative Stability ◽  
Vegetable Oils ◽  
Natural Antioxidants ◽  
Cashew Nut Shell Liquid ◽  
Chemically Modified ◽  
Cashew Nut ◽  
Resistance To Oxidation ◽  
Cashew Nut Shell ◽  
Induction Times ◽  
Esterification Reactions

As increasing environmental policies constrains are imposed, the demand for biodegradable products also increases. Although vegetable oils present some properties that favor its use for formulation of a bio-based lubricant, its poor resistance to oxidation hinders its application as such. In this study, the thermo-oxidative stability of bio-based products was compared to petroleum-based lubricants and vegetable oils through the PetroOXY method. Chemical modifications in the ricinoleic acids were carried out using long-chain alcohols in esterification reactions. Acetates were obtained from ricinoleates with and without hydrogenation steps. Additionally, commercial antioxidants and phenolic compounds (saturated and unsaturated cardanol) obtained from cashew nut shell liquid were added to the synthesized samples with higher induction times. The results show that the chemically modified bio-based products exhibited improved oxidative stability (up to 6 times) and depressed pour point (−42°C) when compared to pure castor oil. Overall, the addition of antioxidants increased from 6 to 20 times the oxidative stability of the bio-based products. Propyl gallate and saturated cardanol showed higher efficiency for retarding the oxidative process of bio-based samples than the commercial antioxidants.

Matrices from vegetable oils, cashew nut shell liquid, and other relevant systems for biocomposite applications

2014 ◽  
Vol 16 (4) ◽  
pp. 1700-1715 ◽  
Author(s):  
Rafael L. Quirino ◽  
Thomas F. Garrison ◽  
Michael R. Kessler
Keyword(s):  
Vegetable Oils ◽  
Cashew Nut Shell Liquid ◽  
Cashew Nut ◽  
Cashew Nut Shell

This review focuses on the progress made over the last decade, in the development of bio-based matrices for biocomposite applications.

Particleboard from Cashew Nut Shell Liquid

2007 ◽  
Vol 15 (1) ◽  
pp. 75-82 ◽  
Author(s):  
Lubi C. Mary ◽  
Eby Thomas Thachil
Keyword(s):  
Cashew Nut Shell Liquid ◽  
Cashew Nut ◽  
Cashew Nut Shell

Rheological studies of SBS/EVA blends modified with bio-based cashew nut shell liquid

2021 ◽  
pp. 009524432199040
Author(s):  
Isabela Pinto Ferreira ◽  
Alex da Silva Sirqueira ◽  
Taiane Andre dos Santos ◽  
Monica Feijo Naccache ◽  
Bluma Guenther Soares
Keyword(s):  
Ethylene Vinyl Acetate ◽  
Rheological Parameters ◽  
Creep Recovery ◽  
Cashew Nut Shell Liquid ◽  
Cashew Nut ◽  
Curve Fit ◽  
Significant Difference ◽  
Cashew Nut Shell ◽  
S Model ◽  
Styrene Butadiene

Research on bio-plasticizers is a topic of strategic interest in polymer blends. A bio-plasticizer, cashew nut shell liquid (CNSL), was studied in blends of ethylene-vinyl acetate copolymer (EVA) and styrene-butadiene-styrene copolymer (SBS). In the literature does not report the addition of plasticizers to SBS/EVA blend. Statistical analyses showed that there was a significant difference in mechanical properties (tension at break, hardness and elongation at break) vs. the unplasticized blend. The minimum CNSL concentration required for a statistical difference was 10 phr. The Carreau-Yasuda rheological model was used to obtain rheological parameters in these blends. The plasticizing influence of CNSL was confirmed by rheology. The effects of CNSL on creep and recovery were evaluated for the SBS/EBA blends. Burger´s model explained well SBS/EVA creep compliance. Moreover, its parameters (Newtonian dashpots and Hookean springs) were evaluated as a function of the CNSL concentrations. The bio-plasticizer concentration influenced significant correlations among the rheological creep-recovery tests, thus enabling a considerable increase in the elastic phase. Experimental creep-recovery data and curve fit were in good agreement.

Explorative Investigation on Cashew Nut Shell Liquid Biodiesel blended with Ethanol and Hydrogen in Direct Injection (DI) Diesel Engine and prediction through Artificial Neural Network

2021 ◽  
Author(s):  
Thanigaivelan V ◽  
Lavanya R
Keyword(s):  
Diesel Engine ◽  
Diesel Fuel ◽  
Direct Injection ◽  
Cashew Nut Shell Liquid ◽  
Single Cylinder ◽  
Direct Injection Diesel Engine ◽  
Cashew Nut ◽  
Di Diesel Engine ◽  
Artificial Neural ◽  
Cashew Nut Shell

Abstract Emission from the DI diesel engine is series setback for environment viewpoint. Intended for that investigates for alternative biofuel is persuaded. The important hitches with the utilization of biofuels and their blends in DI diesel engines are higher emanations and inferior brake-thermal efficiency as associated to sole diesel fuel. In this effort, Cashew nut shell liquid (CNSL) biodiesel, hydrogen and ethanol (BHE) mixtures remained verified in a direct-injection diesel engine with single cylinder to examine the performance and discharge features of the engine. The ethanol remained supplemented 5%, 10% and 15% correspondingly through enhanced CNSL as well as hydrogen functioned twin fuel engine. The experiments done in a direct injection diesel engine with single-cylinder at steadystate conditions above the persistent RPM (1500RPM). Throughout the experiment, emissions of pollutants such as fuel consumption rate (SFC), hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx) and pressure of the fuel were also measured. cylinders. The experimental results show that, compared to diesel fuel, the braking heat of the biodiesel mixture is reduced by 26.79-24% and the BSFC diminutions with growing addition of ethanol from the CNSL hydrogen mixture. The BTE upsurges thru a rise in ethanol proportion with CNSL hydrogen mixtures. Finally, the optimum combination of ethanol with CNSL hydrogen blends led to the reduced levels of HC and CO emissions with trivial upsurge in exhaust gas temperature and NOx emissions. This paper reconnoiters the routine of artificial neural networks (ANN) to envisage recital, ignition and discharges effect.

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