In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step.
| Published in |
American Journal of Theoretical and Applied Statistics (Volume 3, Issue 6-1)
This article belongs to the Special Issue Statistical Engineering |
| DOI | 10.11648/j.ajtas.s.2014030601.12 |
| Page(s) | 19-22 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2014. Published by Science Publishing Group |
Monte Carlo Simulation, Taguchi, Multiobjective Optimization
| [1] | Han, F .; Kambala, V.S.R .; Srinivasan, M .; Rajarathan, D .; Naidu, R.Tailored titanium dioxide photocatalysts for the degradation of organic dyes in wastewater treatment: A review. Applied Catalysis A: General, Vol. 359, p. 25-40, 2009. |
| [2] | Search, G.; Berardinelli, S.; Resini, C.; Arrighi, L. Technologies for the removal of phenol from fluid streams: A short review of recent Developments. Journal of Hazardous Materials, vol. 160, p. 265-288, 2008. |
| [3] | Doocey, D.J.; Sharratt, P.N.; Cundy, C.S.; Plaisted, RJ Zeolite-Mediated Adavanced model chlorinated phenolic oxidation of aqueous waste Part 2: Solid Phase Catalysis. Institution of Chemical Engineers, v.82, p. 359-364, 2004. |
| [4] | Gogate, P. R. Treatment of wastewater streamscontaining phenolic compounds using hybrid techniques Bades on cavitation: A review of the G culo status and the way forward.UltrasonicsSonochemistry, v.5, p. 1-15, 2008. |
| [5] | Charpentier, J.C. In the frame of globalization and sustainability, process intensification the path to the future of chemical and process engineering (molecules into money). Chemical Engineering Journal, vol. 134, p. 84-92, 2007. |
| [6] | Dixon, D.A.; Feller, D. Computational Chemistry and process design. Chemical Engineering Science, vol. 54, p. 1929, 1999. |
| [7] | Barati, R.; Setayeshi, S. On the operator action to reduceoperational risk analysis in research reactorsRaminBarati *, Saeed Setayeshi. Process Safety and Environmental Protection, 2 0 1 4. |
| [8] | Angelotti, W.F.D.; Fonseca, A.L.; Torres, G.B.; Custodio, R. A simplified approach to quantum Monte Carlo method: the slução integral to the problem of electronic distribution. Química Nova, v. 31, p. 433-444, 2008. |
| [9] | Mcleod, A.S; Blackwell, R. Monte Carlo simulation of the selective hydrogenation of acetylene. Chemical Engineering Science, vol. 59, p. 4715 - 4721, 2004. |
| [10] | Bao-guo, T .; Ji-tao, S .; Yan.Z .; Hong-tao, W .; Ji-ming, H. Approach of technical decision-making by element analysis and Monte-Carlo simulation of municipal solid waste stream flow. Journal of Environmental Sciences, v. 19, p. 633-640, 2007. |
| [11] | Linden, R. Genetic Algorithms: An Important Tool in Computational Intelligence. Publisher Brasport books Multimedia LTD. Rio de Janeiro: Brasport399 p. availableem:http://books.google.com.br/books?id=it0kv6UsEMEC&printsec=frontcover&hl=ptBR&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false. Accessed on 01/11/2014 |
| [12] | LazoLazo, J. G. Determination of the value of real options by simulation with montecarlo approach for fuzzy numbers and algorithms genéticos.190 f. Thesis (PhD Electrical Engineering) - Catholic University PUC-Rio, Rio de Janeiro, 2004. |
| [13] | Kaur, A.; Bakhshi, A. K. Change in optimum genetic algorithm solution with changing banddiscontinuities and band widths of electrically Conducting copolymers. Chemical Physics, vol. 369, p. 122-125, 2010. |
APA Style
Ana Paula Barbosa Rodrigues de Freitas, Leandro Valim de Freitas, Carla Cristina Almeida Loures, Aneirson Francisco da Silva, Lúcio Gualiato Gonçalves, et al. (2014). Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. American Journal of Theoretical and Applied Statistics, 3(6-1), 19-22. https://doi.org/10.11648/j.ajtas.s.2014030601.12
ACS Style
Ana Paula Barbosa Rodrigues de Freitas; Leandro Valim de Freitas; Carla Cristina Almeida Loures; Aneirson Francisco da Silva; Lúcio Gualiato Gonçalves, et al. Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. Am. J. Theor. Appl. Stat. 2014, 3(6-1), 19-22. doi: 10.11648/j.ajtas.s.2014030601.12
AMA Style
Ana Paula Barbosa Rodrigues de Freitas, Leandro Valim de Freitas, Carla Cristina Almeida Loures, Aneirson Francisco da Silva, Lúcio Gualiato Gonçalves, et al. Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment. Am J Theor Appl Stat. 2014;3(6-1):19-22. doi: 10.11648/j.ajtas.s.2014030601.12
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Download@article{10.11648/j.ajtas.s.2014030601.12,
author = {Ana Paula Barbosa Rodrigues de Freitas and Leandro Valim de Freitas and Carla Cristina Almeida Loures and Aneirson Francisco da Silva and Lúcio Gualiato Gonçalves and Messias Borges Silva},
title = {Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment},
journal = {American Journal of Theoretical and Applied Statistics},
volume = {3},
number = {6-1},
pages = {19-22},
doi = {10.11648/j.ajtas.s.2014030601.12},
url = {https://doi.org/10.11648/j.ajtas.s.2014030601.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtas.s.2014030601.12},
abstract = {In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step.},
year = {2014}
}
TY - JOUR T1 - Taguchi Orthogonal Array Combined with Monte Carlo Simulation in the Optimization of Wastewater Treatment AU - Ana Paula Barbosa Rodrigues de Freitas AU - Leandro Valim de Freitas AU - Carla Cristina Almeida Loures AU - Aneirson Francisco da Silva AU - Lúcio Gualiato Gonçalves AU - Messias Borges Silva Y1 - 2014/12/27 PY - 2014 N1 - https://doi.org/10.11648/j.ajtas.s.2014030601.12 DO - 10.11648/j.ajtas.s.2014030601.12 T2 - American Journal of Theoretical and Applied Statistics JF - American Journal of Theoretical and Applied Statistics JO - American Journal of Theoretical and Applied Statistics SP - 19 EP - 22 PB - Science Publishing Group SN - 2326-9006 UR - https://doi.org/10.11648/j.ajtas.s.2014030601.12 AB - In this work was performed a Monte Carlo Simulation for a mathematics model to experimental planning of Taguchi. The software has enabled an upgrading of the variables planning value of 54,26% of TOC, 53,28% of DQO and 6,58% of Total Phenols, that feature the importance of the method for the experimental optimizations, and thereafter reduction of experiments to be realized in the job first step. VL - 3 IS - 6-1 ER -
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