Published 2018
“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for
modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six
case studies are generated from collected dataset including four
cases of CNTs yield and one
case of ID/IG as single objective optimization problems,while the sixth
case represents multi-objective problem.The input parameters of each
case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The
models for the first three
case studies were mentioned in the original work.RSM is proposed to develop polynomial
models for the output responses in the other three
cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed
models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The
models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed
algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed
algorithms and other selected well-known
algorithms are
evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function
evaluations number compared to other well-known
algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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Thesis
