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Application of Response Surface Methodology to Investigate the Effect of Different Variables on Fusion Slagging Index

机译:响应面方法的应用探讨不同变量对融合粘接指数的影响

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In this study, the effect of variables including ashing temperature (525°C - 625°C), CaO additive (0 - 4 wt%) and blending ratio of rice husk blending (0 - 50 wt%) for the improvement of fusion slagging index of biomass is investigated. Response surface methodology (RSM) was used to identify influential factor and predict the interaction between process variables and responses. The results demonstrate that the rice husk blending is the most significant variable for the improvement of fusion slagging index of biomass in comparison with CaO additive and ashing temperature. The optimum parameters for obtaining the highest fusion slagging index of 1470°C were obtained at ashing temperature of 575°C, rice husk blending of 50wt% and without CaO additive.
机译:在这项研究中,变量包括灰化温度(525℃-625℃),CaO添加剂(0-4wt%)和水稻壳混合(0-50wt%)的混合比例,用于改善融合渣研究了生物质指数。响应面方法(RSM)用于识别有影响因素并预测过程变量与响应之间的相互作用。结果表明,与CAO添加剂和灰化温度相比,稻壳混合是改善生物质融合粘结指数的最显着变量。在575℃的灰化温度下获得1470℃的最高熔融熔渣指数的最佳参数,50wt%且没有CAO添加剂。

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