An adaptive neuro-fuzzy inference system as a soft sensor for viscosity in rubber mixing process
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چکیده
Mixing rubber in an internal mixer is a complex nonlinear process in which viscosity of the rubber is one of the key quantities concerning end product quality. Since viscosity can’t be measured online, soft sensor methods for modelling viscosity are investigated to establish an online control of viscosity. This paper presents a black-box approach to modelling viscosity using an adaptive neuro-fuzzy inference system (ANFIS). As a result, models capable of depicting physical features of the process are found. On the basis of the results, needs for further research are outlined.
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