The main purpose in mango powder production research is to identify the most influencing independent variables, their interactions and obtain the optimum value for the variables. Based on experimental design method, variables chosen were nozzle size, feed flow rate and inlet temperature. The response chosen were moisture content and powder density. Manggo powder is produced with co-current spray dryer equipment model SD-04 while experimental result analysis is concluded using response surface methodology from “Statsoft Statistica 1999’ version 5.0 software. Response surface methodology were successfully used to link one or more responses to set of variables when firm interaction is known. Second degree polynomial equation is chosen to link responses behaviors to change of variable level. The equation model is tested with Anova analysis with 99% degree of confidence, The response surface methodology output (contour plot) yields the optimum nozzle size, feed rate and in inlet temperature of 1.6 mm, 27 ml/min and 190C, will produce powder with 4.554% moisture content and density of 1.372 g/cm3. The powder quality produced is the best and fulfills food standards. The pareto charts shows that the most influencing and major variables is the nozzle size with effect of 3.525, and interaction variable of nozzle size and feed rate is second in influencing the powder quality.
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机译:芒果粉生产研究的主要目的是确定影响最大的自变量,它们之间的相互作用并获得变量的最佳值。根据实验设计方法,选择的变量为喷嘴尺寸,进料流速和入口温度。选择的响应是水分含量和粉末密度。 Manggo粉末是使用SD-04型并流喷雾干燥器设备生产的,而实验结果分析是使用“ Statsoft Statistica 1999” 5.0版软件的响应面方法得出的。当知道牢固的相互作用时,响应面方法已成功用于将一个或多个响应与一组变量相关联。选择二阶多项式方程以将响应行为链接到可变水平的变化。方程模型通过Anova分析以99%的置信度进行了测试,响应表面方法的输出(轮廓图)产生了最佳的喷嘴尺寸,进料速度,并且在入口温度为1.6 mm,27 ml / min和190C的条件下会产生粉末水分含量为4.554%,密度为1.372 g / cm3。生产的粉末质量是最好的,并且符合食品标准。对比图显示,影响最大的主要变量是喷嘴尺寸,其影响为3.525,而喷嘴尺寸与进料速度的相互作用变量在影响粉末质量方面位居第二。
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