Use of Design of Experiments to Optimize Scale-up Production of Nanosized Silver Particles

碩士 === 大同大學 === 化學工程學系(所) === 94 === In our previous work (Lee, 2005), optimization on the synthesis of nanosized silver particles by chemical reduction based on the data-driven model was studied. The results of our previous work were carried out based on the laboratory experimental data (loading 10...

Full description

Bibliographic Details
Main Authors: Tzu-Chun Hu, 胡子鈞
Other Authors: Jyh-Shyong Chang
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/39962864445896890588
Description
Summary:碩士 === 大同大學 === 化學工程學系(所) === 94 === In our previous work (Lee, 2005), optimization on the synthesis of nanosized silver particles by chemical reduction based on the data-driven model was studied. The results of our previous work were carried out based on the laboratory experimental data (loading 100 cc reacting mixtures in a 200 cc beaker and shaking in an isothermal shaker). In this work, the scale-up production (2 liter or more) of nanosized silver particles is desirable. Extension of the identified data-driven model from the laboratory experimental data to find the optimal operating conditions for scale-up production is achieved by the tailored experiment design. A reliable optimum condition for operating a process can be determined on the basis of the sequential constructed data-driven model originated from the identified model of a small-scale system. Only limited experiments are required. A simulated example and the experimental synthesis of nanosized silver particles were adopted as the testing systems. The proposed heuristic optimization algorithm was examined and proven to be applicable.