Model-aided catalyst design, optimization and analysis
Catalyst, a material that can affect the rate of a reaction without being changed itself, plays an important role in chemical industry worldwide. Currently, the development of catalysts is based on experiments under the guidance of experience and intuition of chemists. Some chemists follow one-facto...
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sg-ntu-dr.10356-537192023-03-03T16:00:30Z Model-aided catalyst design, optimization and analysis Yan, Wenjin Yang Yanhui School of Chemical and Biomedical Engineering DRNTU::Engineering::Chemical engineering Catalyst, a material that can affect the rate of a reaction without being changed itself, plays an important role in chemical industry worldwide. Currently, the development of catalysts is based on experiments under the guidance of experience and intuition of chemists. Some chemists follow one-factor-at-a-time (OFAT) method, however, OFAT was proved to be suboptimal. As a result, the main objective of my study is to achieve rational model-based catalyst design and optimization. The basic part of this framework is response surface methodology (RSM), a combination of (1) design of experiments (DoE), (2) development of a data-based model and (3) model-based optimization. Based on this framework, other approaches may be combined to meet different requirements. Doctor of Philosophy (SCBE) 2013-06-07T02:11:30Z 2013-06-07T02:11:30Z 2012 2012 Thesis http://hdl.handle.net/10356/53719 en 162 p. application/pdf |
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DRNTU::Engineering::Chemical engineering Yan, Wenjin Model-aided catalyst design, optimization and analysis |
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Catalyst, a material that can affect the rate of a reaction without being changed itself, plays an important role in chemical industry worldwide. Currently, the development of catalysts is based on experiments under the guidance of experience and intuition of chemists. Some chemists follow one-factor-at-a-time (OFAT) method, however, OFAT was proved to be suboptimal. As a result, the main objective of my study is to achieve rational model-based catalyst design and optimization. The basic part of this framework is response surface methodology (RSM), a combination of (1) design of experiments (DoE), (2) development of a data-based model and (3) model-based optimization. Based on this framework, other approaches may be combined to meet different requirements. |
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Yang Yanhui |
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Yang Yanhui Yan, Wenjin |
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Theses and Dissertations |
author |
Yan, Wenjin |
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Yan, Wenjin |
title |
Model-aided catalyst design, optimization and analysis |
title_short |
Model-aided catalyst design, optimization and analysis |
title_full |
Model-aided catalyst design, optimization and analysis |
title_fullStr |
Model-aided catalyst design, optimization and analysis |
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Model-aided catalyst design, optimization and analysis |
title_sort |
model-aided catalyst design, optimization and analysis |
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2013 |
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http://hdl.handle.net/10356/53719 |
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1759854640991567872 |