A Computational Framework for Boundary-Value Problem Based Simulations

A framework is presented for step-by-step implementation of weighted-residualmethods (MWR) for simulations that require the solution ofboundary-value problems. A set of Matlab-based functions ofthe computationally common MWR solution steps has beendeveloped and is used in the application of eigenfunction expansion,collocation, and Galerkin-projection discretizations oftime-dependent, distributed-parameter system models. Fourindustrially relevant examples taken from electronic materialsand chemical processing applications are used to demonstrate thesimulation approach developed

Parameter Identification and Simulation of a Thin Film Conducting Polymer Gas Sensor

Thin film conducting polymer gas composition sensors can be used forindustrial safety monitoring, environmental pollution control, and numerousother applications. In this paper, a sensor system model is developed andthis model is used to compare a lumped circuit to a transmission lineformulation of the equivalent circuits describing the polymer film andelectrodes; the sensor model includes the adsorption/desorption processand the electric properties of the sensor. The simulation approachcombines physically based modeling and parameter estimation, in which asubset of model parameters are estimated using published experimentaldata. The simulation results are found to be useful for interpretingconduction polymer sensor responses to different gas species