D. Brunel

Bio: D. Brunel is an academic researcher from University of Nice Sophia Antipolis. The author has contributed to research in topics: Crossover & Deconvolution. The author has an hindex of 3, co-authored 4 publications receiving 71 citations.

Different kinetic equations analysis

Abstract: A software is described enabling kinetic analysis under non-isothermal or isothermal conditions from DSC, or from TG data. The program offers thirteen methods of kinetic analysis for DSC, three for isothermal analysis and two for TG, with eight different functions for the choice of the proper mechanism for each of them.

Neural networks for kinetic parameters determination, signal filtering and deconvolution in thermal analysis

Abstract: Feedforward neural networks have been used for kinetic parameters determination and signal filtering in differential scanning calorimetry. The proper learning function was chosen and the network topology was optimized, using an empiric procedure. The learning process was achieved using simulated thermoanalytical curves. The resilient-propagation algorithm have led to the best minimization of the error computed over all the patterns. Relative errors on the thermodynamic and kinetic parameters were evaluated and compared to those obtained with the usual thermal analysis methods (single scan methods). The errors are much lower, especially in presence of noisy signals. Then, our program was adapted to simulate thermal effects with known thermodynamic and kinetic parameters, generated electrically, using a PC computer and an electronic interface on the serial port. These thermal effects have been generated by using an inconel thread.

Development of genetic algorithms in order to perform data processing of flame temperatures

Abstract: A program is described which enables performing of genetic algorithms for the determination of two positive real parameters. These new types of procedures are tested on a software of determination of flame temperatures previously developed in a fully classic way. The genetic operators used are crossover and mutation. They perform operations on a binary coded form of the parameters. The goal of the present study consists in developing and optimizing a genetic determination of the parameters at a given temperature. We succeed in selecting the general architecture of the procedure and implementing it in our main software of calculation of flame temperature. We have chosen this pyrotechnic field of application because we knew the behaviour of the real parameters, so the debugging operations were easier.

A computer program to perform data processing of flame temperatures of pyrotechnic reactions

Abstract: A program is described which enables data processing of theoretical temperatures of flames of pyrotechnic reactions. This software has been developed with simplified mathematics. A very large database of thermodynamic characteristics allows a very important number of different calculations of temperatures. The program takes into account the phenomena of dissociation of the most important species present in the reactions that we have to use. The results that we obtained with this computer program are very satisfying.