International Journal of Industrial Engineering & Production Research

 Abstract: Determination of the diffusion coefficient on the base of solution of a linear inverse problem of the parameter estimation using the Least-square method is presented in this research. For this propose a set of temperature measurements at a single sensor location inside the heat conducting body was considered. The corresponding direct problem was then solved by the application of the heat fundamental solution.

  Abstract : In this study, we prepared a LaNi_0.3Al_0.7O₃ perovskite catalyst using a sol-gel related method (with prop ionic acid as a solvent) for use in the methane dry reforming reaction to produce synthesis gas. We defined the catalyst structure on the basis of X-ray diffraction analysis and measurements of the specific surface area and particle size distribution. The mixed oxide structure was shaped into a cylindrical pellet before being measured for its mechanical strength. The shaped perovskite catalyst was then tested in the methane dry reforming reaction to produce synthesis gas at atmospheric pressure. The results are compared with the predictions of a mathematical model that is used to estimate the concentration profile within the pellet. The outlet concentration of the reactants and conversion products calculated by the mathematical model has been consistent with the results obtained by experiments conducted in a fixed bed reactor.

Nowadays, the popularity of social networks as marketing tools has brought a deal of attention to social networks analysis (SNA). One of the well-known Problems in this field is influence maximization problems which related to flow of information within networks. Although, the problem have been considered by many researchers, the concept behind of this problem has been used less in business context. In this paper, by using a cost-benefits analysis, we propose a multi-objective optimization model which helps to identify the key nodes location, which are a symbol of potential influential customers in real social networks. The main novelty of this model is that it determines the best nodes by combining two essential and realistic elements simultaneously: diffusion speed and dispersion cost. Also, the performance of the proposed model is validated by detecting key nodes on a real social network