期刊文献+

微波干燥单宁锗的响应曲面法优化研究 被引量:2

Optimization on microwave drying tannic germanium with response surface methodology
下载PDF
导出
摘要 采用基于中心组合设计的响应曲面法,考察了干燥温度、时间和物料量的交互作用对单宁锗相对脱水率的影响,结果表明:实验因子与单宁锗相对脱水率的关系符合二次方程模型。在分析了各个因子的显著性和交互作用后,得到的最优化工艺条件为:干燥温度90℃、时间7min、物料量12 g,在此条件下,单宁锗实际相对脱水率为96.42%,与预测值基本吻合。 Microwave drying temperature,time and sample weight as experimental variables were investigated to test the effects on relative dehydration rate using response surface methodology(RSM) based on the central composite design(CCD).The results showed the relation between variables to the relative dehydration rate agree with the quadratic model.According to analysis of the significance and the interaction of each factor,the optimum condition was found as follows:microwave drying temperature is 90℃,time is 7min and sample weight is12g.Under the optimum condition,the relative dehydration rate of tannins germanium acid was 96.42%,the results indicated that the experimental data basically agreement with the predicted values.
机构地区 昆明理工大学
出处 《中国有色冶金》 北大核心 2010年第4期68-71,共4页 China Nonferrous Metallurgy
关键词 微波干燥 单宁锗 相对脱水率 响应曲面法 microwave drying tannic germanium relative dehydration rate response surface methodology
  • 相关文献

参考文献6

  • 1Azargohar R, Dalai A K. Production of activated carbon from Luscar char: Experimental and modeling studies[J]. Microporous and Mesoporous Materials, 2005, 85(3): 219-225.
  • 2Gangadharan D, Sivaramakrishnan S, Nampoothiri K M, et al. Response surface methodology for the optimization of alpha amylase production by Bacillus amyloliquefaciens[J]. Bioresource Technology, 2008, 99(11): 4597-4602.
  • 3Bourquin J, Schmidli H, Hoogevest P, et al. Comparison of artificial neural networks (ANN) with classical modelling techniques using different experimental designs and data from a galenieal study on a solid dosage form[J]. European Journal of Pharmaceutical Sciences, 1998,(7): 287-300.
  • 4Kandimalla K K, Kanikkannan N, Singh M. Optimization of a vehicle mixture for the transdermal delivery of melatonin using artificial neural networks and response surface method[J]. Journal of Controlled Release, 1999, 61(1-2): 71-82.
  • 5Gratuito M K B, Panyathanmaporn T, Chumnanklang R A, el al. Production of activated carbon from coconut shell: Optimization using response surface methodology[J]. Bioresoure. Technology, 2008, 99(11): 4887-4895.
  • 6Verma P, Agrawa L U S, Sharma A K, et al. Optimization of process parameters for the development of a cheese analogue from pigeon pea (Cajanus cajan) and soy milk using response surface methodology[J]. International Journal of Dairy Technology, 2005, 58(1): 51-58.

同被引文献160

  • 1李学鹏,杨斌,刘大春,王林.硫酸镍电解液净化除杂工艺研究[J].稀有金属,2010,34(2):271-275. 被引量:16
  • 2黄芳,王华,李军旗,袁华俊.高温热力学在高镁磷尾矿浸出过程中的应用[J].轻金属,2010(5):7-11. 被引量:3
  • 3王爱英,程军,刘建忠,周俊虎,岑可法.微波加热对褐煤干燥及成浆特性的影响[J].能源工程,2012,32(1):1-5. 被引量:8
  • 4金钦汉.微波化学[M].北京:科学出版社,2001.5.
  • 5李新冬,赵玲.微波技术应用于褐铁矿干燥脱水的试验研究[J].中国资源综台利用,2006,24(6):9-10.
  • 6C. A. Pickles. Microwave in extractive metallur:part 2-Re- view of applications [ J ]. Minerals Engineeling, 2009,22 (13) :1112-1118.
  • 7郑孝英,彭金辉,谭向东,等.微波辐射加热干燥高钛渣实验与研究[C].第十五届全国微波能应用学术会议,2011.
  • 8avid E C,Diane C F,Jon K W. Processing Materials with Microwave Energy [J]. Mat. Sci. Eng, 2000,287 ( 2 ) : 153-- 158.
  • 9Thostenson E T, Chou T W. Microwave processing: funda- mentals and applications [J]. Composites Part A-Applied Science&Manufacturing, 1999,30(9 ) : 1055-1071.
  • 10彭金辉,杨显万.微波能技术应用[M].云南:科技出版社,1997.

引证文献2

二级引证文献11

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部