摘要：Scattered data and the behaviour determined by state parameters of vegetable oil thermo-physical properties imposed the need to develop mathematical models that could cover with precision the values from an extended range of these properties. As consequence, this work was focused on finding a possibility to correlate density and viscosity of 10 vegetable oils (olive, peanuts, sesame, almond, cotton, corn germ, sunflower, soybean, grape seed and flaxseed) with temperature and oil tabular hierarchy number. The available data were analysed and used as inputs in various software which helped to generate several mathematical models. In the case of vegetable oil density four polynomial equations were developed in order to fit the existing literature data value, while for dynamic viscosity variation a polynomial and the Arrhenius equation or "vapour pressure" model gave the best results. The adequacy of the new mathematical models was verified by using correlation coefficient, relative error and ANOVA test and their evaluation revealed a very good fit with the experimental data. The proposed mathematical mod els can be loaded in the widespread PC software for storing, organizing and manipulating data ava ilable both for industrial and academic users and they could be valuable for designing or evaluating handling and processing systems and equipment that are involved in the storage, handling and utilization of vegetable oils.
