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OptimisatiOn Of prOcess parameters in high energy mixing as a methOd Of cOhesive pOwder flOwability imprOvement

机译:作为高粘性粉末流动性改进方法的高能量混合过程参数的优化

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Flowability of fine, highly cohesive calcium carbonate powder was improved using high energy mixing (dry coating) method consisting in coating of CaCO3particles with a small amount ofAerosil nanoparticles in a planetary ball mill.As measures of flowability the angle of repose and compressibility index were used.As process variables the mixing speed, mixing time, and the amount ofAerosil and amount of isopropanol were chosen. To obtain optimal values of the process variables, a Response Surface Methodology (RSM) based on Central Composite Rotatable Design (CCRD) was applied. To match the RSM requirements it was necessary to perform a total of 31 experimental tests needed to complete mathematical model equations. The equations that are second-order response functions representing the angle of repose and compressibility index were expressed as functions of all the process variables. Predicted values of the responses were found to be in a good agreement with experimental values. The models were presented as 3-D response surface plots from which the optimal values of the process variables could be correctly assigned. The proposed, mechanochemical method of powder treatment coupled with response surface methodology is a new, effective approach to flowability of cohesive powder improvement and powder processing optimisation.
机译:通过在行星式球磨机中用少量Aerosil纳米颗粒包覆CaCO3颗粒的高能量混合(干涂)方法,改善了高粘性的细碳酸钙粉末的流动性。作为流动性的度量,使用了休止角和可压缩指数选择混合速度,混合时间,Aerosil的量和异丙醇的量作为工艺变量。为了获得过程变量的最佳值,应用了基于中央复合旋转设计(CCRD)的响应面方法(RSM)。为了满足RSM要求,有必要执行总共31个实验测试以完成数学模型方程式。作为代表休止角和可压缩指数的二阶响应函数的方程式表示为所有过程变量的函数。发现响应的预测值与实验值非常吻合。这些模型以3-D响应面图的形式呈现,可以从中正确分配过程变量的最佳值。提出的粉末化学机械化学方法与响应表面方法相结合,是一种新的有效方法,可用于改进粘性粉末的流动性和优化粉末工艺。

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