Coal pyrolysis is a complex process involving a large number of chemical reactions. Pyrolysis is a key step in all coal conversion processes. The Distributed Activation Energy Model (DAEM) is a state-of-the art approach to the problem of predicting the amount of volatile released versus activation energy or time. The distribution of mass released is usually assumed to be Gaussian. We present an inverse iterative approach together with a smoothing function to estimate the underlying distribution directly from volatilisation data.
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The cochlear microphonic (CM) is an electrical signal generated inside the cochlea in response to sound. This electrical signal reflects mechanical activity in the cochlea and the excitation processes involved in its generation. However, the difficulty of obtaining this signal and the simplicity of obtaining other signals such as otoacoustic emissions have discouraged the use of the cochlear microphonic as a tool for studying cochlear functions. In this article, a model of the cochlea is presented which integrates both mechanical and electrical aspects, enabling the interaction between them to be investigated. The resulting model is then used to observe the effect of the cochlear amplifier on the CM. The results indicate that while the cochlear amplifier significantly amplifies the basilar membrane displacement, the effect on the CM is less significant. Both of these outcomes are consistent with previous physiological findings. Moreover, the close match between mechanical and electrical predictions of the model and experimental measurements validates the model, and suggests that further investiga- tions using the model into various pathologies and anomalies are warranted.
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