000			02424nab a2200193 4500
005			20260520001139.0
008			260224s2015 xxu
245	0	0	_aParameter estimation for comprehensive pyrolisis modeling _bGuidance and critical observations
260			_a _b _cmar. 2015
270			_a06/01/2020 ; 06/01/2020
300			_a34 p. ; 443-477
520			_aTranscripción del resumen del autor. A process for conducting parameter estimation for comprehensive pyrolysis models is proposed in this study based on the authors’ experience and opinions. This estimation process was developed with following principles and approaches: (1) parameter estimation is about being consistent, applying engineering common-sense and correctly following the steps in this guide; (2) parameter estimation is conducted by breaking down the problem into groups of unknowns of similar character and considering them separately; (3) parameter estimation is conducted in consideration of an appropriate complexity in model set-up using certain approximations for simplifications; and (4) parameter estimation is conducted with direct measurements of parameters from independent experiments, literature search and/or numerical optimization paired with certain pyrolysis models. Additionally, limitations in parameter estimation are discussed by considering example cases. They are shown to demonstrate how simplifying the microstructure, modeling thermal decomposition kinetics and applying numerical optimization methods affect the estimation results. The process developed is applied to modeling of real-world materials: thermoplastics, corrugated cardboard, fiberglass reinforced polymer composites and plywood. Understanding the limitations in parameter estimation, it was noted that (1) the estimated parameter values are compensated by other parameter values in a parameter set allowing optimization methods to optimize for multiple optimal, linked parameter sets; however, (2) when modeling is well-configured with appropriate complexity, the optimized parameter values may become closer to those of independent measurements, highlighting the possibility of utilizing optimization methods to estimate for effective material properties.
581			_a2
773	0		_tFire Technology _g
942			_cARTICULO
100	1		_aKim, E. _959291
100	1		_aDembsey, N. _959292
999			_c193244 _d193244