http://nopr.niscair.res.in/handle/123456789/1094 Search the Channel search http://nopr.niscair.res.in/simple-search http://nopr.niscair.res.in/handle/123456789/1249 Title: Multi-component mass transfer in a single particle during gaseous propylene polymerization <br/> <br/>Authors: Veera, U Parasu; McKenna, T; Weickert, G <br/> <br/>Abstract: Mass transfer in the growing catalyst/polymer particle is modeled with dusty gas model (DGM), while the particle growth is described with Polymeric Flow. A Thiele modulus defined in terms of diffusion combined with viscous flow, is called viscous modulus, and used to analyze the dominating mechanism for mass transfer when there is an additional transport of reactant (convection) along with diffusion in a single reacting particle. Addition of high or low molecular weight inert/diluent gas affects mixture diffusivity and thus decreases or increases reaction rate respectively. Both propylene-N₂ and propylene-C₃H₈ systems, which are commonly employed in industry, are studied. Effect of low molecular weight inert is studied with propylene-He system. Porosity and pore size effect on reaction rate is also discussed. <br/> <br/>Page(s): 345-351 Thu, 29 Mar 2007 22:58:59 GMT http://nopr.niscair.res.in/handle/123456789/1248 Title: Comparative investigation using fuzzy model and OptSim on WDM systems in presence of FWM and dispersion compensation <br/> <br/>Authors: Singh, Amarpal; Sharma, Ajay K; Kamal, T S; Kamal; Singh, Paramjit <br/> <br/>Abstract: This paper, investigates the impact of pre-, post-, symmetrical using Dispersion Compensating Fiber (DCF) and Fiber Brag Grating (FBG) dispersion compensation methods on Four Wave Mixing (FWM) for 10 Gb/s non-return to zero (NRZ) links by varying the state of polarization and core effective area of fiber through computer simulation. Performance characteristics (FWM power, eye diagram and Q value at the output) are studied by simulating the optical communication systems. A fuzzy controller based on fuzzy rule base using Adaptive Neuro Fuzzy Inference System (ANFIS) has been reported. It is indicated that FBG technique has been found superior to all other methods. <br/> <br/>Page(s): 339-344 Thu, 29 Mar 2007 22:58:59 GMT http://nopr.niscair.res.in/handle/123456789/1247 Title: ANFIS for prediction of weld bead width in a submerged arc welding process <br/> <br/>Authors: Dhas, J Edwin Raja; Kumanan, S <br/> <br/>Abstract: This paper proposes an intelligent technique, Adaptive Neuro-Fuzzy Inference System (ANFIS), to predict the weld bead width in the submerged arc welding (SAW) process for a given set of welding parameters. Experiments are designed according to Taguchi’s principles and its results are used to develop a multiple regression model. Multiple sets of data from multiple regression analysis are utilized to train the intelligent network. The trained network is used to predict the quality of weld. The proposed ANFIS, developed using MATLAB functions, is flexible, accurate than existing models and it scopes for a better online monitoring system. <br/> <br/>Page(s): 335-338 Thu, 29 Mar 2007 22:58:59 GMT http://nopr.niscair.res.in/handle/123456789/1246 Title: Contribution of superannuated scientists to National S&T: A case study of CSIR emeritus scientist scheme <br/> <br/>Authors: Bhati, V S; Sharma, S K; Gupta, Archana; Luthra, Rajesh <br/> <br/>Abstract: Performance analysis of the CSIR Emeritus Scientist scheme has been carried out on the following criteria: i) Quality of output from the Emeritus Scientists; ii) Value attached to the scheme by scientific community; and iii) Acceptability of the scheme across research disciplines. Analysis reveals that the scheme selects high quality research workers who not only turn out work, acceptable in high-end journals, but also train students. The scheme attracts scientists equally from universities and R&D institutions, and enjoys high prestige across the scientific disciplines. <br/> <br/>Page(s): 330-334 Mon, 26 Feb 2007 22:58:59 GMT