Based on the literature, Co-precipitation process has been narrowly studied from the “process” point of view thus far, which has led to the majority of this complex phenomenon remains unknown scientifically. This work firstly tries to deeply screen the synthesis procedure of γ-Alumina in terms of precipitation, whereas such key parameters ruling this process as temperature, reactant concentrations, mixing rate, and aging time are thoroughly analyzed by using Response surface methodology (RSM) for the very first time. Considering some significant novel interactions between these variables, the porosity of the final materials in terms of Specific Surface Area (SSA), Total Pore Volume (TPV), and Mean Pore Diameter (MPD) could be adjusted without using any surfactant or other additional organic compounds. For instance, a simultaneous enhancement in SSA, TPV, and MPD, respectively, up to 334.5 m². g^-1, 1.93 ml.g^-1, and 23.01 nm with a narrow pore size distribution were achieved only by adjusting the process variables which have not been reported ever before. The two optimum materials suggested by Central Composite Design (CCD) were reproduced, analyzed by using such techniques as XRD, FT-IR, BET, SEM, and TG analyses and then used to synthesis final Hydrotreating (HDT) catalyst for application in a trickle bed continuous hydrotreater.

根据文献，到目前为止，从“过程”的角度对共沉淀过程进行了狭窄的研究，这导致大多数这种复杂现象在科学上仍然未知。这项工作首先试图从沉淀的角度深入筛选γ-氧化铝的合成过程，而使用响应表面方法（RSM）彻底分析了决定该过程的关键参数，例如温度，反应物浓度，混合速率和老化时间。第一次。考虑到这些变量之间存在一些重要的新颖相互作用，可以在不使用任何表面活性剂或其他附加有机物的情况下调整最终材料的孔隙率，如比表面积（SSA），总孔体积（TPV）和平均孔直径（MPD）化合物。例如，²。克^-1，1.93 ml.g ^-1，并具有窄的孔径分布23.01 nm的仅通过调整以前没有报道过的过程变量来实现。复制了中央复合设计（CCD）所建议的两种最佳材料，并使用XRD，FT-IR，BET，SEM和TG分析等技术进行了分析，然后用于合成最终的加氢处理（HDT）催化剂，用于滴滤应用床连续加氢处理。