Use of Data-driven Model to Optimize Scale-up Production of Nanosized Silver Particles
Optimization on the synthesis of nanosized silver particles by chemical reduction using formaldehyde in aqueous solution was carried out based on the laboratory experimental data from the small scale system (loading 100 cc reacting mixtures in a 200 cc beaker and shaking in an isothermal shaker). Effects of the possible processing variables such as the reaction temperature T, the mole ratios of formaldehyde/AgNO3 and NaOH/AgNO3, PVP/AgNO3, and the molecular weight of protective agent PVP (polyvinyl-pyrrolidone) were achieved. In this study, the scale-up production (2 liters or more) of nanosized silver particles was desirable; we applied the identified data-driven model from the designed laboratory experimental data and the identified small scale model to find the optimal operating conditions for scale-up production. 19 experiments were carried out in the scale-up system to achieve the objective (minimum of the mean particle size of the silver colloid) and the objective (minimum of the mean particle size of the silver colloid at 85％ conversion of silver nitrate). For a scale-up system, the experiments usually require a large and expensive resource. Based on the optimization method proposed in this work, limited experiments were required and most of the experiments can produce near on-specification products such that the off-specification products can be minimized.
Experiment Design Scale-up Production Data-driven Model Nanosized Silver Particles
Jyh-Shyong Chang Tzu-Chun Hu
Department of Chemical Engineering,Tatung University,Taipei,Taiwan
国际会议
西安
英文
2007-08-15（万方平台首次上网日期，不代表论文的发表时间）