Formulation development, modeling and optimization of emulsification process using evolving RSM coupled hybrid ANN-GA framework
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- 作者：Partha Kundua ; Varun Paulb ; Vimal Kumara ; vksinfch@iitr.ac.in" class="auth_mail" title="E-mail the corresponding author ; Indra M. Mishraa ; c ; immishra49@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Emulsification ; Emulsion stability ; Process optimization ; Back-propagation neural networks (BPANN) ; Response surface methodology (RSM) ; Genetic algorithm (GA)
- 刊名：Chemical Engineering Research and Design
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：104
- 期：Complete
- 页码：773-790
- 全文大小：4392 K
文摘
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A novel framework for emulsification process formulation and optimization is proposed.
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An integrated modeling approach of GA-BPANN coupled with RSM-BBD is introduced.
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Compared to conventional models, the hybrid GA coupled with BPANN is more resilient.
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The proposed hybrid model is efficient for optimization of emulsification process.
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The proposed approach reduced time, surfactant quantity and energy expenditure.