A model-free sparse approximation approach to robust formal reaction kinetics

AbstractAutoclave molding of prepregs is an established fabrication method to produce composite components to be used in the aerospace industry and elsewhere. The process involves the excess resin to flow out and curing of the resin. The process model simulation, which is very effective to optimize the process parameters and laminate properties, requires various sub-models to account for resin flow and resin curing. This work focuses on the curing behavior and development of kinetic sub-model of a quartz fabric prepreg impregnated with cyanate ester-based resin. Differential scanning calorimetry (DSC) in both dynamic and isothermal modes has been used for the study. The dynamic study reveals that two distinct reaction mechanisms were involved during curing. The dynamic study data is used to obtain the activation energy using model-free iso-conversional method. The kinetic expression obtained using the isothermal DSC scan data is able to predict the complexity of the overall reaction which can be described by nth-order reaction kinetics for the initial phase of reaction followed by the autocatalytic reaction kinetics.

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Reconstructing Large-scale Cellular Networks Using a Sparse Approximation Approach**This work was supported in part by the 973 Program (2009CB320602, 2012CB316504), the NNSFC (61174122 and 51361135705), and the SRFDPHE (20110002110045).

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.134 ◽

2015 ◽

Vol 48 (28) ◽

pp. 251-256

Author(s):

Wanhong Zhang ◽

Yan Zhang ◽

Tong Zhou

Keyword(s):

Cellular Networks ◽

Large Scale ◽

Sparse Approximation ◽

Approximation Approach

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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