Parameter Estimation of Fiber Lay-down in Nonwoven Production - An Occupation Time Approach-
This work addresses parameter estimation for nonwoven manufacturing, a domain-specific problem, and the results are incremental as they apply existing occupation time concepts to a new industrial context.
The paper introduces a stochastic model for fiber lay-down in nonwoven production and proposes an optimization procedure based on occupation time to estimate model parameters from mass per unit area data. The method is validated via Monte-Carlo simulations and tested with industrial software FYDIST, demonstrating feasibility for industrial application.
In this paper we investigate the parameter estimation of the fiber lay-down process in the production of nonwovens. The parameter estimation is based on the mass per unit area data, which is available at least on an industrial scale. We introduce a stochastic model to represent the fiber lay-down and through the model's parameters we characterize this fiber lay-down. Based on the occupation time, which is the equivalent quantity for the mass per unit area in the context of stochastic dynamical systems, an optimization procedure is formulated that estimates the parameters of the model. The optimization procedure is tested using occupation time data given by Monte-Carlo simulations. The feasibility of the optimization procedure on an industrial level is tested using the fiber paths simulated by the industrial software FYDIST.