Our site saves small pieces of text information (cookies) on your device in order to deliver better content and for statistical purposes. You can disable the usage of cookies by changing the settings of your browser. By browsing our site without changing the browser settings you grant us permission to store that information on your device.
LIU JIANHUA1, LV XIAOJUN1,* , LAI YANQING1, LI JIE1, LIU YEXIANG1
Synthesis parameters of magnesium aluminate spinel (MAS) were optimized using central composite design (CCD) of response surface methodology (RSM). A quadratic equation model was proposed to describe the corresponding relationships between the spinelisation rate and main factors such as holding time, calcination temperature and mass fraction of AlCl3. The results show that the spinelisation rate of MAS is significantly affected by the mass fraction of AlCl3 and the calcination temperature. The optimum conditions that contribute to the maximum spinelisation rate are as follows: holding time of 189.00 min, calcination temperature of 1143.89 °C and mass fraction of AlCl3 of 5.42 wt.%. The maximum predicted spinelisation rate of MAS is 80.42%, which is consistent with the experimental value of 80.06% under the optimized conditions. It suggests that the regressive equation fits the spinelisation rates perfectly. X-ray diffraction (XRD) result reveals that MAS is synthesized by solid-state reaction. AlCl3 addition can enhance the formation of MAS from alumina and magnesia without any contamination..
Magnesium aluminate spinel, Spinelisation rate, AlCl3, Response surface methodology.
LIU JIANHUA, LV XIAOJUN, LAI YANQING, LI JIE, LIU YEXIANG, Optimizing the synthesis of magnesium aluminate spinel by response surface methodology, Optoelectronics and Advanced Materials - Rapid Communications, 10, 7-8, July-August 2016, pp.594-599 (2016).
Submitted at: Nov. 21, 2014
Accepted at: Aug. 3, 2016
Optoelectronics and Advanced Materials - Rapid Communications
(2022): 0.5 - 2022 Journal Citation Reports (Clarivate Analytics, 2023)
Active accounts were imported to the new platform and assigned a random password by default. In order to access your account you need to access the login page and go through the Lost Password dialog (involves the system sending you an email with instructions) in order to reset your password. This step is necessary as passwords are kept in hashed form and the new platform uses modern hashing algorithms incompatible with the previous ones.