http://nopr.niscair.res.in/handle/123456789/5181 Search the Channel search http://nopr.niscair.res.in/simple-search http://nopr.niscair.res.in/handle/123456789/11157 Title: The use of neural networks on VLE data prediction <br/> <br/>Authors: Bilgin, Mehmet; Hasdemir, I Metin; Oztas, Oguzhan <br/> <br/>Abstract: The neural network model is employed to predict the vapor-liquid equilibrium (VLE) data for six different binary systems having different chemical structures and solution types (azeotrope-nonazeotrope) in various conditions (isothermal or isobaric). A model based on a feed-forward back-propagation neural network is proposed. Only half of the experimentally determined VLE data are assigned to the designed framework as training patterns in order to estimate the VLE data of the whole system in given conditions. The VLE data are also calculated by the UNIFAC model, a calculation method widely used in this field. The mean deviations from the experimental data are determined for both the models. It is observed that the data found by neural network model gives an excellent agreement with the experimental data, while the UNIFAC model shows deviations, particularly at low pressures. In fact the neural network model can be treated as a potent means for VLE data prediction in a fast and reliable way, compared to the conventional thermodynamical models. <br/> <br/>Page(s): 336-343 http://nopr.niscair.res.in/handle/123456789/5434 Title: R&D Management Conference-2003 <br/> <br/>Authors: Sahni, Madhu <br/> <br/>Page(s): 386-390 http://nopr.niscair.res.in/handle/123456789/5427 Title: Studies on char morphology in relation to petrographic characteristics of some permian coals of India <br/> <br/>Authors: Choudhury, Nandita; Chaudhuri, S G; Chakraborty, C C; Boral, P <br/> <br/>Abstract: Optical microscopy is a useful tool for differentiating the performance of coals during pulverized coal combustion. Char morphology is related to the maceral, microlithotype (maceral associations), and rank of coal which in turn control the reactivity. Chars from four overall raw coal samples are obtained by devolatilising them at 900°C in a controlled condition. The char morphology study and pore size measurements are carried out using reflected light optical microscope. <br/> <br/>Page(s): 383-385 http://nopr.niscair.res.in/handle/123456789/5424 Title: Chemical characterization and enrichment of selected toxic elements in ambient particulate matter around a slag based cement plant in chhattisgarh state-A case study <br/> <br/>Authors: Sharma, Rajnikant; Pervez, Shamsh <br/> <br/>Abstract: <smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceType"><smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="PlaceName"><smarttagtype namespaceuri="urn:schemas-microsoft-com:office:smarttags" name="place"> Cement plants are one of the major emissions sources of toxic metal loaded particulate matter. The work describes a study conducted for a slag based cement plant located in southeastern part of Chhattisgarh State. Samples of Respirable Suspended Particulate Matter (RSPM) and Non-Respirable Suspended Particulate Matter (NRSPM) were collected and analyzed for selected toxic elements. Results indicated a high contribution of toxic elements in the ambient particulate matter by the stack emissions from the selected cement plant. The order of concentration of the elements analyzed in ambient particulate matter is found to be Ca > Mg > Fe > Al > Na > K > Mn > Cr > Ni > Cu > Zn > Co > Pb > Hg > Cd. Good positive correlation coefficient values were found for RSPM and metal concentration. Almost all the elements have shown higher enrichment factor values. Higher spatial variability values were obtained for RSPM metal concentration than NRSPM metal concentration. </smarttagtype></smarttagtype></smarttagtype> <br/> <br/>Page(s): 376-382