Authors:S. Pommé, F. Hardeman, N. Etxebarria, and P. Robouch
A spreadsheet application is developed for the prediction and optimization of the analytical performance of instrumental neutron activation analysis for matrices of more or less known composition. It assists in feasibility testing, sensivitity enhancement and cost reduction.
Authors:B.L. Dinesha, S. Hiregoudar, U. Nidoni, K.T. Ramappa, A.T. Dandekar, and M.V. Ravi
.7 Optimisation RSM coupled BBD was employed to optimise the process parameters to treat dairy industry wastewater using CTiO 2 nano-adsorbent. The responses are maximised to obtain the best conditions for the adsorption process ( Oladipo et al., 2017
It is always useful to predict the result of an experiment without having to carry it out. In cyclic activation analysis where the signal-to-noise ratio for the detection of short-lived nuclides in a given matrix is particularly sensitive to the value of the timing parameters, determination of the best conditions for the detection of a nuclide of interest, without resort to preliminary experiments, is most helpful. Simulation and optimisation of a gamma-ray spectrum is derived for a sample irradiated in cyclic mode. The simulation includes consideration of photopeak, Compton continuum, single and double escape peaks and bremsstrahlung. The simulation output forms the input to the signal-to-noise ratio optimisation routine. Consequently the sensitivities, and detection limits for the isotopes of interest can be deduced from the optimised spectrum. Interference from other gamma-lines is identified, if applicable. In addition, a graphical output of the simulated spectrum and a listing of the optimised activation parameters, detection limits and sensitivites are produced. The programme has been extended to include simulation of conventionally neutron activated samples. Examples for standard reference materials are given as illustrations, together with measured spectra.
Given a multiobjective optimization problem with the components of the objective function as well as the constraint functions
being composed convex functions, we introduce, by using the Fenchel-Moreau conjugate of the functions involved, a suitable
dual problem. Under a standard constraint qualification and some convexity as well as monotonicity conditions we prove the
existence of strong duality. Finally, some particular cases of this problem are presented.
Authors:Yu. Bourmistenko, I. Ivanov, V. Sviridova, and Yu. Feoktistov
The possibilities of using a computer to optimize the conditions of gamma-activation analysis are considered. Criteria of
optimum conditions are formulated. The optimization program is constructed of the following operations being automatically
performed: (1) determination of a list of isotopes and their gamma-lines formed during the interaction between the activating
bremsstrahlung and the substance whose elemental composition elements to be analyzed plus matrix is preliminarily given; (2)
optimization of the analysis time regimes and the value of the maximum energy of the activating bremsstrahlung; (3) choice
of a gamma-line of the isotope of an element to be analyzed by which the quantitative determination of this element is expedient.
For these purposes a catalogue of nuclear-physical constants (half-lives and energies which was compiled from published data
tables of gamma-line outputs obtained experimentally under standardized conditions for different values of the maximum energy
of the bremsstrahlung as well as mathematical models of the monoenergetic gamma-ray spectra) has been used.
Reactions with large negative enthalpy changes are often encountered in the chemical industry. Sometimes they give rise to
technical dangers and hazards, including explosions. This investigation concentrates on examination of adiabatic temperature-time-curves
and gives non-linear optimization procedures for obtaining kinetic parameters of simple decompositions,e.g. o-nitrobezaldehyde, two types of autocatalysis, consecutive reactions and competitive consecutive reactions. The advantage
of this computing method is that only differential kinetic equations are needed.