02293nas a2200193 4500008004100000022001400041245009100055210006900146260007100215300001400286490000700300520158200307100002101889700002701910700001801937700001601955700002101971856010701992 2007 eng d a0888-588500aEffect of sparger design on the flow in a bubble column: symbolic analysis of LDA data0 aEffect of sparger design on the flow in a bubble column symbolic a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcMAY a2996-30070 v463 a

This paper aims at developing a methodology that helps in the characterization of the effects of a single point and multipoint sparger on the flow patterns in a bubble column reactor. The methodology uses the simultaneously measured instantaneous velocity-time data (two orthogonal velocity components) using LDA at different measurement locations. The data sets are transformed into their equivalent description in terms of polar coordinates, viz., resultant velocity vector and angle. This information is further transformed in terms of symbolic representation in a binary number format. The covariance matrices obtained from the binary data are analyzed for their eigenvalues, and the spectrum is used for the identification of the dominant, energy containing modes in the data. In the vicinity of the sparger, the nature of covariance matrix and the eigenvalue spectrum for the single point sparger (SPS) data was significantly different from that of the multipoint sparger (MPS). In the bulk region, for both types of spargers, the nature of the eigenvalues and the number of dominant modes is seen to be different from the near sparger region. In general, more numbers of eigenvalues are required to capture the total energy in the data for a multipoint sparger when compared to a single point sparger. This suggests a higher level of complexities existing due to the intricate hydrodynamics for the multipoint sparger. The possible use of this methodology for practical purposes, e.g., identification of malfunctioning of gas-liquid sparger reactors is discussed.

1 aKulkarni, A., A.1 aDeshpande, Suvarna, S.1 aJoshi, J., B.1 aKumar, Ravi1 aKulkarni, B., D. uhttps://library.ncl.res.in/content/effect-sparger-design-flow-bubble-column-symbolic-analysis-lda-data02089nas a2200193 4500008004100000022001400041245008500055210006900140260007100209300001400280490000700294520135300301100002501654700003601679700002401715700002701739700001601766856011301782 2009 eng d a0888-588500aEffect of flow structures on heat transfer in single and multiphase jet reactors0 aEffect of flow structures on heat transfer in single and multiph a1155 16TH ST, NW, WASHINGTON, DC 20036 USAbAMER CHEMICAL SOCcNOV a9428-94400 v483 a

High frequency experimental measurements by hot film anemometry (HFA) of liquid velocities and temperature in the region of vapor-liquid (VL) and solid-liquid (SL) interfaces for two important reactor types, namely, condensation jet and jet loop reactors, have been studied for their heat transfer characteristics. An algorithm for flow structure identification has been devised from velocity data based oil (i) zero crossings and (ii) continuous wavelet transform. The wavelet transform algorithm is especially found to be useful in accurately estimating both the age and size distributions of eddies near interfaces in a multiscale framework Using these distributions, it is shown that the calculated values of heat transfer coefficients (HTC) at the SL and VL interfaces show remarkable correspondence with the HTC values obtained experimentally from instantaneous temperature measurements. For this purpose, a modified capacitance model has been proposed that takes into account the information about both the age and size distributions. The results obtained by the present methodology show the improvement possible for calculating the HTC at interfaces when compared with the earlier surface renewal models. It may therefore be used to study the interaction between flow dynamics and heat transfer behavior in chemical process equipment

1 aDeshpande, Sagar, S.1 aMathpati, Channamallikarjun, S.1 aGulawani, Sagar, S.1 aJoshi, Jyeshtharaj, B.1 aKumar, Ravi uhttps://library.ncl.res.in/content/effect-flow-structures-heat-transfer-single-and-multiphase-jet-reactors-002701nas a2200241 4500008004100000022001400041245014500055210006900200260000900269300001200278490000800290520183600298653002102134653002102155653002202176653002202198653002002220653002502240100002602265700001602291700002102307856013102328 2015 eng d a0009-250900aEmbedded multiple shooting methodology in a genetic algorithm framework for parameter estimation and state identification of complex systems0 aEmbedded multiple shooting methodology in a genetic algorithm fr cSEP  a605-6180 v1343 a

A novel parameter estimation and state identification algorithm for nonlinear dynamical systems from data by embedding a multiple shooting methodology in the framework of a genetic algorithm (EMSGA) is described. The advantages of EMSGA are brought out by studies with two highly nonlinear examples, viz., the chaotic dynamics of a non-isothermal CSTR and the glycolysis regulation in Lactococcus lactis for production of lactic acid. For the chaotic dynamics with extremely high sensitivity to parameter values and initial conditions, EMSGA accurately estimates all process parameters while at the same time recovering the true dynamics of monitored and unmonitored variables from limited extents of noisy dynamic data. The superiority in accuracy and computational time of EMSGA over standalone genetic or multiple shooting algorithms for parameter estimation is shown for comparison purposes. In fact, EMSGA adapts well to the use of generalized canonical models, e.g., the S-system, where use of the fundamental Taylor series method of any order for integration becomes possible. This makes EMSGA highly efficient and exemplified here by estimating all the parameters of the derived higher dimensional 5-system model for the CSTR. Comparative studies with a well-known global-local enhanced scatter search method corroborate the suitability and advantages of the EMSGA methodology. For the glycolysis regulation example the numerical robustness of EMSGA is brought out by estimating a large number of model parameters when a majority of them are raised to the power of the state variables. Interestingly, we show that from noisy in vivo dynamic data it becomes possible to completely recover the noise-free dynamical behavior of unmonitored species concentrations using EMSGA. (C) 2015 Elsevier Ltd. All rights reserved.

10aCanonical models10aChaotic dynamics10aGenetic algorithm10aMultiple shooting10aNoise reduction10aparameter estimation1 aSarode, Ketan, Dinkar1 aKumar, Ravi1 aKulkarni, B., D. uhttps://library.ncl.res.in/content/embedded-multiple-shooting-methodology-genetic-algorithm-framework-parameter-estimation-and02137nas a2200193 4500008004100000245013500041210006900176260000800245490000700253520142000260100002501680700001701705700001801722700001901740700001601759700001801775700001901793856013101812 2018 eng d00aEvaluation of Candida tropicalis (NCIM 3321) extracellular phytase having plant growth promoting potential and process development0 aEvaluation of Candida tropicalis NCIM 3321 extracellular phytase cJAN0 v133 a

Phytase is known to provide a solution for depletion of phosphorus (P). It helps it by hydrolyzing the insoluble P source in soil which is phytate. In this study, provides insight on yeast Candida tropicalis (NCIM 3321) which produces cell bound and extracellular thermostable phytase. The media components were optimized to enhance the enzyme production and checked for plant growth promoting activity. On optimization the isolate exhibited enhanced cell bound and extracellular phytase activity by four folds (from 236 to 1024 IU DCG⁻¹) and by five folds (from 0.46 to 1.95 IU ml⁻¹) respectively in 36 h. The production time decreased to 24 h compare to shake flask on Up-scaling the production process upto 10 L scale, thus increasing the productivity of cell bound (1810 IU DCG⁻¹day⁻¹) and extracellular phytase (6.08 IU ml⁻¹ day⁻¹). The crude phytase (12 IU) from NCIM 3321 strain was studied for plant growth promotion activity in lab scale and field level experiments with maize crop. Findings of the study revealed that the extracellular phytase derived from non pathogenic C. tropicalis (NCIM 3321) was found to be plant growth stimulating by increasing the available P in soil. Our findings of phytase isolated from non-pathogenic yeast C. tropicalis NCIM 3321 exhibited dephytinization potential. Therefore, current study may have profound application in sustainable agriculture.

1 aPuppala, Kumar, Raja1 aNaik, Tejali1 aShaik, Alfina1 aDastager, Syed1 aKumar, Ravi1 aKhire, Jayant1 aDharne, Mahesh uhttps://library.ncl.res.in/content/evaluation-candida-tropicalis-ncim-3321-extracellular-phytase-having-plant-growth-promoting