Dehydration is called as the water removal from hydrated structure. Dehydration behavior is important for the usage areas and transportation of minerals. Magnesium borates can be used as additive materials in areas such as in the production of superconducting materials, in the composition of detergents, due to the content of boron in the frictionreducing additives in oils and insulating coating compositions due to their good mechanic and thermal properties. In this study, dehydration behavior of Inderite (Mg(B3O3(OH)5).5H2O) was experimented by both using microwave energy different and thermal analyses techniques. In microwave dehydration, power level was selected as 600W. Mass loss and drying rates were determined. In thermal dehydration, hydrated mineral was applied to thermal analysis (TG-DTG). Structural changes of hydrated and dehydrated samples were characterized using the techniques of XRD and FT-IR. XRD results show that crystallinity of sample may decrease in microwave dehydration. According to FT-IR results, characteristic band values of water disappeared at the end of the dehydration.

Abstract:In this research, the dehydration behavior of kurnakovite was studied under microwave irradiation. The kinetic parameters of the dehydration reaction were determined using different kinetic models. Kurnakovite was characterized by the techniques of X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), and scanning electron microscopy (SEM) before and after the dehydration process. According to the results, kurnakovite was identified as a compound with the powder diffraction file (pdf) number 00-024-0700 before the dehydration process and after the dehydration process amorphous formations were observed. Moreover, FT-IR results showed that dehydration was completed successfully because of the disappearance in the band values of structural water. The dehydration process was ended at 25, 20, and 15 min for the power levels of 360, 600, and 800 W, respectively. Among the models, the two-term exponential model best fits the drying experimental data. For the activation energy calculation, the Page model best fits the experimental data and was found as 9.92 W × g −1 .