Open Access Open Access  Restricted Access Subscription or Fee Access

Simulated Annealing-Based Optimization of Biodegradable Plastic Synthesis


(*) Corresponding author


Authors' affiliations


DOI: https://doi.org/10.15866/iremos.v12i1.15852

Abstract


Modeling has been done in order to determine the effect of raw material composition of biodegradable plastic on the tensile strength, elongation, water absorption and biodegradability. The novel synthesis of biodegradable plastic has been the addition of cinnamon oil to the raw materials of NIPAM-chitosan and glycerol. The methods used have been linear and nonlinear regression. Based on statistical tests, linear regression has yielded significant results for all the tests. After the mathematical model has been done, the optimum composition of the biodegradable plastic has been formulated. The method used in the optimization has been the simulated annealing. The results show that the maximum tensile strength has been obtained at the best composition, which has been 9% NIPAM-Chitosan, 45% Glycerol and 0% Cinnamomum Burmannii. The maximum elongation has been determined at 9.9487% NIPAM-Chitosan, 49.5902% Glycerol, and 1.1084% Cinnamomum Burmannii. The minimum biodegradability has been reached at 2.9273% NIPAM-Chitosan, 46.9772% Glycerol and 10% Cinnamomum Burmannii.
Copyright © 2019 Praise Worthy Prize - All rights reserved.

Keywords


Plastic; Optimization; Biodegradable; Non Linear Regression; Simulated Annealing

Full Text:

PDF


References


Y. J.Jeon, J. Y. V. A. Kamil, and F. Shahidi, Chitosan as an edible invisible film for quality preservation of herring and Atlantic cod. Journal of Agricultural and Food Chemistry, Vol. 50(18): pp. 5167–5178, 2002.
https://doi.org/10.1021/jf011693l

B. L. Butler, P. J. Vergano, R. F. Testin, J. M. Bunn, and J. L. Wiles, Mechanical and Barrier Properties of Edible Chitosan Films as affected by Composition and Storage. Journal of Food Science, Vol. 61(5): pp. 953–956. 1996.
https://doi.org/10.1111/j.1365-2621.1996.tb10909.x

A. Muslim, Q. Li, and M. O.Tade, Modelling of Chlorine Contact Tank and the Combined Application of Linear Model Predictive Control and Computational Fluid Dynamic, Journal of Chemical Product and Process Modelling, Vol. 4(1), 2009.
https://doi.org/10.2202/1934-2659.1307

A. Muslim, Q .Li, and M. O. Tade, Simultaneous Model of Chlorine Dosing and Decay in Drinking Water Distribution System and Model Predictive Control Application, Asia Pacific Journal of Chemical Engineering, Vol. 3(6): pp. 613–621, 2008.
https://doi.org/10.1002/apj.132

A. Muslim, Mechanistic Model-Based Speciation of Copper Complexes Adsorbed on Resin in an Ammoniacal Thiosulphate Resin-Solution System, Adsorption Science and Technology, Vol. 31(9): pp. 777–789, 2013.
https://doi.org/10.1260/0263-6174.31.9.777

Muslim, A., Model-Based Optimization of Copper Complexes Adsorption in Ammoniacal Thiosuphate Resin Solution System, (2014) International Review on Modelling and Simulations (IREMOS), 7 (5), pp. 906-911.
https://doi.org/10.15866/iremos.v7i5.4250

Muslim, A., Ardy, S., Syaubari, S., Response Surface Methodology-Based Model and Optimization of CO2 Absorption Using Methyldiethanolamine Activated by Piperazine, (2017) International Review on Modelling and Simulations (IREMOS), 10 (4), pp. 296-302.
https://doi.org/10.15866/iremos.v10i4.10703

A. Muslim, Modelling and simulation of gold thiosulphate elution in ammoniacal thiosulphate resin solution system, International Journal of Modelling and Simulation, Vol. 35(2): pp. 1–6, 2015
https://doi.org/10.1080/02286203.2015.1111056

I. Safitri, M. Riza, and S. Syaubari, Mechanical Testing for Biodegradable Plastic Mechanical from Sago Starch and Poly (Nipam) Grafting-Chitosan with Addition of Cinnamon Oil (Cinnamomum burmannii) as Antioxidants. Jurnal Litbang Industri, Vol. 6 (2): pp. 107–116, 2016 [in Indonesian].
https://doi.org/10.24960/jli.v6i2.1914.107-116

S. H. Aghdeab, L. A.Mohammed, and A. M. Ubaid, Optimization of CNC turning for aluminum alloy using simulated annealing method. Jordan Journal of Mechanical and Industrial Engineering, Vol. 9(1), pp. 39–44, 2015.

G. Sachin, M. Ankush, and B. Yogesh, Wear Performance Optimization of Silicon Nitride Using Genetic and Simulated Annealing Algorithm. Journal of Engineering Science and Technology, Vol. 12(12): pp. 3120–3135, 2017.
https://doi.org/10.2174/1874464810666170503125052

Linear Regression Workflow - MATLAB & Simulink. (n.d.). Retrieved June 11, 2018, from https://www.mathworks.com/help/stats/linear-regression-workflow.html.

Create linear regression model - MATLAB fitlm. (n.d.). Retrieved June 11, 2018, from: https://www.mathworks.com/help/stats/fitlm.html.

Improve linear regression model by adding or removing terms-MATLAB. (n.d.). Retrieved June 11, 2018, from https://www.mathworks.com/help/stats/linearmodel.step.html.

S. Kirkpatrick, C. D.Gellat, and M. P.Vecchi, Optimization by Simulated Annealing. Science, Vol. 220(4598): pp. 671–680, 1983.
https://doi.org/10.1126/science.220.4598.671

X. S. Yang, Engineering Optimization An Introduction with Metheuristic Application. New Jersey: A John Wiley & Sons, Inc. 2010.


Refbacks

  • There are currently no refbacks.


Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize