Artificial neural network model with the parameter tuning assisted by a differential evolution technique: the study of the hold up of the slurry flow in a pipeline

This paper describes a robust hybrid artificial neural network (ANN) methodology which can offer a superior performance for the important process engineering problems. The method incorporates a hybrid artificial neural network and differential evolution technique (ANN-DE) for the efficient tuning of ANN meta parameters. The algorithm has been applied for the prediction of the hold up of the solid liquid slurry flow. A comparison with selected correlations in the literature showed that the developed ANN correlation noticeably improved the prediction of hold up over a wide range of operating conditions, physical properties, and pipe diameters

Mass Handling of Materials

Material handling is defined as the operation of lifting and shifting . The object of all material handling is the reduction of handling cost, time, storage space, and effort. Mechanised handling permits synchronisation of operations, avoidance of bottlenecks keeping the job on the move and reduction of manual labour which may be devoted to more useful purpose requiring skill and inte-lligence.Mounting labour costs throughout the world have also directed attention to the expanding importance of mechanised handling in every field of industry

Green processes in process metallurgy

Environmental pollution ultimately governs the economic or industrial growth rate of the world. Ideal green processes, both conceptual and feasible are discussed and the advantages and limitations are brought out. Typical examples of novel techniques developed to combat pollution are presented. An integrated approach coupling energy saving with pollution control measures appears to be the best strategy

Process Engineering for Pollution Control and Waste Minimisation in Non -Ferrous Metallurgical Industries

The importance of industrial ecology in the materials cycle has been stressed.The different approaches to process design have been outlined and typical applications to non-ferrous metallurgy have been highlighted. The challenges and opportunities for pollution control and waste minimisation in the non-ferrous metallurgical industries with reference to gaseous emissions, liquid effluents and solid wastes have been examined

Top Yukawa coupling measurement with indefinite CP Higgs in e+e−→ttˉΦe^+e^-\to t\bar{t}\Phi

We consider the issue of the top quark Yukawa coupling measurement in a model in dependent and general case with the inclusion of CP-violation in the coupling. Arguably the best process to study this coupling is the associa ted production of Higgs boson along with a $t\bar t$ pair in a machine like the International Linear Collider (ILC). While detailed analyses of the sensitivity of the measurement assuming a Standard Model (SM) - like coupling are available in the context of ILC, conclude that th e coupling could be pinned down at about 10\% level with modest luminosity, our investigations show that the scenario could be different in case of a more general coupling. The modified Lorentz structure resulting in a changed functional dependence of the cross section on the couplin g, along with the difference in the cross section itself leads to considerable deviation in the sensitivity. Our studies with an ILC of center of mass energies of 500 GeV, 800 GeV and 1000 GeV show that moderate CP-mixing in the Higgs sector could change the sensitivity to about 20\ %, while it could be worsened to 75\% in cases which could accommodate more dramatic changes in the coupling. While detailed considerations of the decay distributions point to a need for a relook at the analysis strategy followed for the case of SM such as for a model independent analysis of the top quark Yukawa coupling measurement. This study strongly suggests that, a joint analysis of the CP properties and the Yukawa coupling measurement would be the way forward at the ILC and that caution must be excercised in the measurem ent of the Yukawa couplings and the conclusions drawn from it.Comment: 18 pages, 7 figures, uses revte

Silicon Membranes for Smart Silicon Sensors .

The development of smart Si sensors which combine active circuitry and sensor on the same chip, has drawn attention in terms of miniaturisation and cost-effectiveness of microsensors. Interest in micromachining of Si to fabricate membranes derives from the need for inexpensive and more versatile sensors. This paper reports the results on fabrication of Si membranes by anisotropic etching of Si in EDP solution. Good quality membranes of 10 Nanometer thickness were fabricated. Infrared detector based on thermopile structure was realised on 50 Nanometer thick Si membrane using polysilicon and Al junctions. Thermo-emf generated at 150 °c is nearly 8 mv

Dissociation Constants of Glycine, Alanine, Proline, Valine, Glutamine & γ-Aminobutyric Acid in Methanol & Ethanol-Water Mixtures

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Studies on Dissociation Constants of Substituted Salicylic Acids in Ethanol - Water Mixtures by Conductometric Method

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