Monte Carlo Simulation of temperature dependence of grain growth kinetics in C-Mn Steel prior to hot rolling

A Monte Carlo simulation framework has been proposed to characterize grain growth phenomena during microstructural evolution of plain C-Mn steel under reheating condition prior to hot rolling. The effect of deformation temperature on the temporal evolution of the grains has been analyzed during reheating operation prior to hot rolling

Monte Carlo simulation of microstructure evolution during thermo-mechanical rolling of steel using grid computing technology

A Monte Carlo (MC) simulation methodology using high performance computing (HPC) has been proposed to characterize grain growth kinetics and recrystallisation phenomena during hot rolling of C-Mn and TRIP steels. The simulation framework comprises of mesoscale modelling of evolution of grain growth and microstructure incorporating the system energetics of grain boundary energy and stored energy which are essentially the driving force for the evolution process. An in-house MC computer code has been developed and implemented in the GARUDA grid. This facilitated achieving faster convergence of the MC algorithm for a given lattice structure. The simulated grain growth and microstructure evolution have been successfully validated with the published data. It is inferred that the MC simulation in conjunction with HPC grid capability can be a powerful tool to simulate material behaviour at mesoscopic scale during thermo-mechanical processing of materials

Data-Based Performance Modelling of Hydrocyclone for Processing Iron Ore Fines

In this study, a data driven performance characterization model of hydrocyclone has been developed using multiple experimental data set collected from the published literature pertaining to processing of iron ore fines. The cut size, d50, has been determined for a given cyclone operating conditions using Lagrangian interpolation technique. A reduced efficiency curve has been constructed to map the performance and the functional behaviour has been modeled employing three typical distribution functions, namely, Rosin-Rammler, Exponential and Logistic. All pertinent model parameters have been estimated in accordance with the experimental data sets. It has been observed that all these functions fairly mimic the performance of cyclone for processing iron ore in the particle size range 25-300 m. Rosin-Rammler distribution found to be a better function for fitting the experimental data set in comparison to Exponential and Logistic functions to characterize the performance

Performance characterization of water-only Cyclone for processing high ash Indian coal

In this study semi-empirical performance models have been employed to characterize the performance of water-only cyclone on the basis of experimental data modelling for fine coal cleaning. Experiments have been conducted in the laboratory on a 100 mm water only cyclone. High ash coals used for the experiments belong to the Patherdih and Munidih colliery in the Eastern part of India. Separation based on specific gravity was studied on Patherdih sample whereas size classification analysis has been carried out on Munidih sample. Washability studies on Patherdih sample have been undertaken to determine the specific gravity of effective separation for a desired coal quality. The Mayer curve has been employed to plot float-and-sink analysis from which the Tromp distribution curve is constructed. A reduced efficiency curve has been generated based on specific gravity as well as size classification analysis. Attempts have been made to describe the reduced efficiency curve by employing Rosin-Rammler and Logistic distribution function to characterize the performance of the cyclone. A simplified approach has been proposed to estimate the performance model parameters. Experiments were conducted by varying the operating parameters like spigot diameter, feed inlet pressure and percentage solids in the feed to study the sensitivity of operating conditions. The effect of operating variables on the performance of the cyclone in terms of classification function has been investigated. A graphical user interface (GUI) based user friendly software (HYDROSIM) has been developed based on semi-empirical models for calculating the cut-size (d50) under various operating conditions

Modelling performance of water-only cyclone as a gravity separator for fine coal cleaning

The performance of a gravity separator treating coal is characterized by plotting a Tromp distribution curve. In this study semi-empirical performance models have been employed to characterize the performance of water-only cyclone on the basis of experimental data modelling for fine coal cleaning. Experiments have been conducted in the laboratory on a 100 mm water only cyclone. Raw coal used for the experiments belong to Patherdih colliery in the Eastern part of India. Washability studies have been undertaken to determine the gravity separation for a desired coal quality. The Mayer curve has been employed to plot float-and-sink analysis from which the Tromp distribution curve has been constructed. A reduced efficiency curve has been obtained and attempts have been made to describe the behaviour using a Rosin-Rarnmler type distribution function characterizing the performance of the cyclone. A simplified approach has been purposed to estimate the model parameters

Time evolution of spin state of radical ion pair in microwave field: An analytical solution

The paper reports an exact solution for the problem of spin evolution of radical ion pair in static magnetic and resonant microwave field taking into account Zeeman and hyperfine interactions and spin relaxation. The values of parameters that provide one of the four possible types of solution are analysed. It is demonstrated that in the absence of spin relaxation, besides the zero field invariant an invariant at large amplitudes of the resonant microwave field can be found. The two invariants open the possibility for simple calculation of microwave pulses to control quantum state of the radical pair. The effect of relaxation on the invariants is analysed and it is shown that changes in the high field invariant are induced by phase relaxation.Comment: 18 pages, 7 figure

Electron spin relaxation can enhance the performance of a cryptochrome-based magnetic compass sensor

The radical pair model of the avian magnetoreceptor relies on long‐lived electron spin coherence. Dephasing, resulting from interactions of the spins with their fluctuating environment, is generally assumed to degrade the sensitivity of this compass to the direction of the Earth's magnetic field. Here we argue that certain spin relaxation mechanisms can enhance its performance. We focus on the flavin‐tryptophan radical pair in cryptochrome, currently the only candidate magnetoreceptor molecule. Correlation functions for fluctuations in the distance between the two radicals in Arabidopsis thaliana cryptochrome 1 were obtained from molecular dynamics simulations and used to calculate the spin relaxation caused by modulation of the exchange and dipolar interactions. We find that intermediate spin relaxation rates afford substantial enhancements in the sensitivity of the reaction yields to an Earth‐strength magnetic field. Supported by calculations using toy radical pair models, we argue that these enhancements could be consistent with the molecular dynamics and magnetic interactions in avian cryptochromes

Interactive Content-Based Image Retrieval with Deep Neural Networks

Peer reviewe

Effect of organic manures and microbial inoculants on yield, root colonization and total bacterial population in turmeric (Curcuma longa L.) intercropped in arecanut (Areca catechu L.) garden

The effect of combination of organic manures namely, compost, vermicompost, phosphocompost and mustard cake and microbial inoculants namely, Azospirillum brasilense and arbuscular mycorrhiza (Glomus fasciculatum) were evaluated for the organic production of turmeric (Curcuma longa) (cv. Suguna) grown as intercrop in arecanut (Areca catechu) (cv. Mohitnagar) plantation at Mondouri (Nadia, West Bengal) A significant difference in rhizome yield was noticed when organic manure-microbial inoculant combination was applied when compared with recommended dose of fertilizers (inorganic). Among different treatment combinations tried, the most effective treatment was vermicompost + Azospirillum sp. + Glomus sp. (28.94 t ha-1), followed by compost + Azospirillum sp. + Glomus sp. (26.93 t ha-1), as compared to recommended inorganic NPK (24.11 t ha-1). Maximum root colonisation (74%) with microbial inoculants at 180 days after planting was observed with vermicompost + Azospirillum sp. + Glomus sp. Maximum bacterial population (105.25 x 105 CFU g-1 soil) at harvest was noticed in compost + Azospirillum sp. + Glomus sp., as compared to lowest population with recommended NPK (56.35 x 105 CFU g-1 of soil). &nbsp

Fluorescence-detected magnetic field effects on radical pair reactions from femtolitre volumes

We show that the effects of applied magnetic fields on radical pair reactions can be sensitively measured from sample volumes as low as ~100 femtolitres using total internal reflection fluorescence microscopy. Development of a fluorescence-based microscope method is likely to be a key step in further miniaturisation that will allow detection of magnetic field effects on single molecules