Grey-box modelling of a viscose-fibre drying process

• Published in: Mathematical and computer modelling of dynamical systems Vol. 18; no. 3; pp. 307 - 325
• Main Authors: Schuster, Alexander, Kozek, Martin, Voglauer, Bernhard, Voigt, Andreas
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 01.06.2012; Taylor & Francis Ltd
• Subjects: cellulosic fibres; Computer simulation; Differential equations; Driers; Drying; drying kinetics; dynamic model; Dynamical systems; Fibers; Fibres; Heat transfer; Mathematical models; model predictive control (MPC); Moisture; Ordinary differential equations; physical modelling; Studies; through-air drying
• DOI: 10.1080/13873954.2012.662777
• ISSN: 1387-3954

A dynamic model of a through-air-drying process for viscose staple fibres is presented in this article. In this process fibres formed to a porous web are transported through a convective dryer that consists of numerous rotating drum sieves. Finally, the fibres pass through two remoistening drums. The structure of the model is modular and scalable. On applying spatial discretization the originally partial differential system equations (conservation of mass and energy) turn into a system of ordinary differential equations. Drying rates and heat transfer rates are calculated using phenomenological equations for heat and mass transfer. Kinetics of drying is separated into three phases, where viscose fibres are hygroscopic. The process model is able to simulate transient behaviour of the dryer like changes of the incoming fibre moisture, changes of the drying air temperature and humidity and changes of the thickness of fibre layer on the drums. Stationary validation of the longitudinal fibre moisture distribution along the dryer shows good accordance with measurement data at different operating points, for example, different temperature profiles. Dynamic data like temperature transients are utilized for both model fitting and validation of the dynamic model. For the remoistening process and disturbance behaviour concerning the thickness of the fibre web, black box models have been identified. Results of a successful application of the model in a predictive control algorithm are shown.