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Dive into the research topics where Shriram S. Sonawane is active.

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Featured researches published by Shriram S. Sonawane.


Ultrasonics Sonochemistry | 2015

Ultrasound assisted biodiesel production from sesame (Sesamum indicum L.) oil using barium hydroxide as a heterogeneous catalyst: Comparative assessment of prediction abilities between response surface methodology (RSM) and artificial neural network (ANN).

Antaram Sarve; Shriram S. Sonawane; Mahesh N. Varma

The present study estimates the prediction capability of response surface methodology (RSM) and artificial neural network (ANN) models for biodiesel synthesis from sesame (Sesamum indicum L.) oil under ultrasonication (20 kHz and 1.2 kW) using barium hydroxide as a basic heterogeneous catalyst. RSM based on a five level, four factor central composite design, was employed to obtain the best possible combination of catalyst concentration, methanol to oil molar ratio, temperature and reaction time for maximum FAME content. Experimental data were evaluated by applying RSM integrating with desirability function approach. The importance of each independent variable on the response was investigated by using sensitivity analysis. The optimum conditions were found to be catalyst concentration (1.79 wt%), methanol to oil molar ratio (6.69:1), temperature (31.92°C), and reaction time (40.30 min). For these conditions, experimental FAME content of 98.6% was obtained, which was in reasonable agreement with predicted one. The sensitivity analysis confirmed that catalyst concentration was the main factors affecting the FAME content with the relative importance of 36.93%. The lower values of correlation coefficient (R(2)=0.781), root mean square error (RMSE=4.81), standard error of prediction (SEP=6.03) and relative percent deviation (RPD=4.92) for ANN compared to those R(2) (0.596), RMSE (6.79), SEP (8.54) and RPD (6.48) for RSM proved better prediction capability of ANN in predicting the FAME content.


Ultrasonics Sonochemistry | 2016

Ultrasound assisted two-stage biodiesel synthesis from non-edible Schleichera triguga oil using heterogeneous catalyst: Kinetics and thermodynamic analysis.

Antaram Sarve; Mahesh N. Varma; Shriram S. Sonawane

Present work deals with the ultrasound-assisted biodiesel production from low cost, substantial acid value kusum (Schleichera triguga) oil using a two-step method of esterification in presence of acid (H2SO4) catalyst followed by transesterification using a basic heterogeneous barium hydroxide (Ba(OH)2) catalyst. The initial acid value of kusum oil was reduced from 21.65 to 0.84 mg of KOH/g of oil, by acid catalyzed esterification with 4:1 methanol to oil molar ratio, catalyst concentration 1% (v/v), ultrasonic irradiation time 20 min at 40 °C. Then, Ba(OH)2 concentration of 3% (w/w), methanol to oil molar ratio of 9:1, ultrasonic irradiation time of 80 min, and temperature of 50 °C was found to be the optimum conditions for transesterification step and triglyceride conversion of 96.8% (wt) was achieved. This paper also examined the kinetics as well as the evaluation of thermodynamic parameters for both esterification and transesterification reactions. The lower value of activation energy and higher values of kinetic constants indicated a fast rate of reaction, which could be attributed to the physical effect of emulsification, in which the microturbulence generated due to radial motion of bubbles, creates an intimate mixing of the immiscible reactants causing the increase in the interfacial area, giving faster reaction kinetics. The positive values of Gibbs-free energy (ΔG), enthalpy (ΔH) and negative value of entropy (ΔS) revealed that both the esterification and transesterification were non-spontaneous, endothermic and endergonic reactions. Therefore, the present work has not only established the escalation obtained due to ultrasonication but also exemplified the two-step approach for synthesis of biodiesel from non-edible kusum oil based on the use of heterogeneous catalyst for the transesterification step.


Journal of Experimental Nanoscience | 2015

Effect of sonication time on enhancement of effective thermal conductivity of nano TiO2–water, ethylene glycol, and paraffin oil nanofluids and models comparisons

Shriram S. Sonawane; Rohit S. Khedkar; Kailas L. Wasewar

This paper presents experimental and theoretical determination of the effective thermal conductivity of various base fluids and nano TiO2 composition. Ultrasonically assisted sol–gel method was used for synthesising anatase TiO2 nanoparticles and dispersing them into base fluids using sonication for the synthesis of nanofluids. It is observed that thermal conductivity enhancement is significantly higher than that of base fluid. The thermal conductivity shows an increment with the addition of nanoparticles and confirms a 22% enhancement achievable in base fluids. The effect of base fluids is a complex idea and difficult to understand; lower base fluid viscosities were supposed to contribute higher in enhancement of thermal conductivity, but another important factor; i.e. fluid nanoparticles surface interaction, nanoparticles crystal type also contributes in enhancement. In the further study, as the sonication time increases; an improvement in the thermal conductivity of nanofluids is also observed. Except water-based nanofluids, all others show reasonably good agreement with the data predicted by Bruggeman model and the prediction is in the range of 5%. This study is important since it covers base fluids with a wide range of thermal conductivity and viscosity.


Polymer-plastics Technology and Engineering | 2010

Comparative Study of the Mechanical and Thermal Properties of Polyamide-66 Filled with Commercial and Nano-Mg(OH)2 Particles

Shriram S. Sonawane; Satyendra Mishra; Navinchandra G. Shimpi; Ajit P. Rathod; Kailas L. Wasewar

In the present work, polyamide-Mg(OH)2 nanocomposites were prepared via melt intercalation on a twin-screw extruder. Different particle sizes (24, 20, 11 nm) of Mg(OH)2 were synthesized by in-situ deposition technique and its shape and sizes was confirmed on transmission electron microscope (TEM). Nano-Mg(OH)2 was added from 1 to 4 wt% in the polyamide. Properties such as tensile strength, elongation at break, hardness, and flame retardency were studied. These results were then compared with commercial Mg(OH)2-filled composites. There was propounding effect to be observed on properties of polyamide nanocomposites due to uniform dispersion of nano-Mg(OH)2 and commercial Mg(OH)2. Moreover, thermal property like thermal degradation was studied on TGA. Extent of dispersion of nano-Mg(OH)2 was studied along with microcracks generated during tensile testing using AFM. It was found that nano-Mg(OH)2 is thermally more stable compared to that of commercial Mg(OH)2. Besides that, Tg and M.T. are studied on DSC.


RSC Advances | 2015

Response surface optimization and artificial neural network modeling of biodiesel production from crude mahua (Madhuca indica) oil under supercritical ethanol conditions using CO2 as co-solvent

Antaram Sarve; Mahesh N. Varma; Shriram S. Sonawane

The present study describes the renewable, environment-friendly approach for the production of biodiesel from low cost, high acid value mahua oil under supercritical ethanol conditions using carbon dioxide (CO2) as a co-solvent. CO2 was employed to decrease the supercritical temperature and pressure of ethanol. A response surface method (RSM) is the most preferred method for optimization of biodiesel so far. In last decade, the artificial neural network (ANN) method has come up as one of the most efficient methods for empirical modeling and optimization, especially for non-linear systems. This paper presents the comparative studies between RSM and ANN for their predictive, generalization capabilities, parametric effects and sensitivity analysis. Experimental data were evaluated by applying RSM integrated with a desirability function approach. The importance of each independent variable on the response was investigated by using sensitivity analysis. The optimum conditions were found to be temperature (304 °C), ethanol to oil molar ratio (29 : 1), reaction time (36 min), and initial CO2 pressure (40 bar). For these conditions, an experimental fatty acid ethyl ester (FAEE) content of 97.42% was obtained, which was in reasonable agreement with the predicted content. The sensitivity analysis confirmed that temperature was the main factor affecting the FAEE content with the relative importance of 39.24%. The lower values of the correlation coefficient (R2 = 0.868), root mean square error (RMSE = 4.185), standard error of prediction (SEP = 5.81) and absolute average deviation (AAD = 5.239) for ANN compared to those of R2 (0.658), RMSE (7.691), SEP (10.67) and AAD (8.574) for RSM proved the better prediction capability of ANN in predicting the FAEE content.


Polymer-plastics Technology and Engineering | 2009

Effect of Commercial & Nano-Ca3(PO4)2 on Mechanical and Thermal Properties of Polyamide Composites

Satyendra Mishra; Shriram S. Sonawane; Navinchandra G. Shimpi

Polyamide/Ca3(PO4)2 nanocomposites were prepared via melt intercalation on twin-screw extruder. Different particle sizes (21, 17, 11 nm) of Ca3(PO4)2 were synthesized by in situ deposition technique and its sizes were confirmed on X-ray difractometer. Amount of loading of nano-Ca3(PO4)2 in the polyamide was ranges in the 1 to 4-wt%. Properties such as tensile strength, elongation at break, hardness, and flame retardency were studied. These results were then compared with commercial Ca3(PO4)2 filled polyamide composites. Improvement in properties was due to uniform dispersion of nano-Ca3(PO4)2 and commercial Ca3(PO4)2. Moreover, thermal property like degradation, weight loss was studied on TGA. Extent of dispersion of nano-Ca3(PO4)2 was studied along with cracks generated during tensile testing using scanning electron microscope (SEM). Nano-Ca3(PO4)2 was found to be thermally more stable compared to that of commercial Ca3(PO4)2. Besides that, the shape and sizes of nano-Ca3(PO4)2 was confirmed on transmission electron microscope (TEM).


Polymer-plastics Technology and Engineering | 2009

Effect of Nano-CaCO3 on Mechanical and Thermal Properties of Polyamide Nanocomposites

Shriram S. Sonawane; Satyendra Mishra; Navin Shimpi

Polyamide-CaCO3 nanocomposites were prepared by melt intercalation on twin-screw extruder. Various particle sizes (23, 17 and 11 nm) of CaCO3 were synthesized by in-situ deposition technique. The shape and sizes of nano-CaCO3 particles were confirmed by transmission electron microscopy (TEM). Nano-CaCO3 was added from 1 to 4 wt% in the polyamide. Properties such as Tensile strength, Elongation at break, Hardness, and Flame retardency were studied. These results were compared with commercial CaCO3 filled composites. Nano-CaCO3 filled in polyamide shows, 3 fold improvement in Youngs modulus in comparison to commercial CaCO3 and 4–7 folds to virgin polyamide. Besides that, a polyamide nanocomposite shows 2 times improvements in flame retarding and vicat softening properties compared to commercial CaCO3. Moreover, thermal degradation was studied on TGA and found to be improved compared to commercial CaCO3. This was due to uniform dispersion of nano-CaCO3 with greater surface area in comparison to commercial CaCO3 in the polyamide matrix. Extent of dispersion of nano-CaCO3 was studied along with microcracks generated during tensile testing using scanning electron microscope (SEM).


Korean Journal of Chemical Engineering | 2017

Esterification of propionic acid with isopropyl alcohol over ion exchange resins: Optimization and kinetics

Vishal S. Chandane; Ajit P. Rathod; Kailas L. Wasewar; Shriram S. Sonawane

The esterification of propionic acid with isopropyl alcohol was studied in an isothermal batch reactor. The activities of three different types of ion exchange resin catalysts (Amberlyst 15, Amberlyst 70 and Dowex 50 WX8) were investigated, and Amberlyst 15 was found to be an effective catalyst for the reaction. The effects of process parameters, namely, catalyst loading, alcohol to acid molar ratio and reaction temperature, were studied and optimized. Response surface methodology (RSM) was applied to optimize the process parameters as well as to investigate the interaction between process parameters. The internal and external diffusion limitations were found to be absent at a stirring speed of 500 rpm. The RSM model predicted response (83.26%) was verified experimentally with a good agreement of experimental value (83.62±0.39%). Moreover, the kinetics was studied and the Langmuir-Hinshelwood model was used to fit the kinetic data.


Korean Journal of Chemical Engineering | 2017

Process optimization and kinetic modeling for esterification of propionic acid with benzyl alcohol on ion-exchange resin catalyst

Vishal S. Chandane; Ajit P. Rathod; Kailas L. Wasewar; Shriram S. Sonawane

Benzyl propionate, an ester with floral and fruity odor, has significant applications in perfumery and flavor industries. This paper describes the optimization of the synthesis of benzyl propionate catalyzed by Amberlyst-15. The effects of various process parameters such as catalyst loading, alcohol-to-acid molar ratio and reaction temperature on propionic acid conversion and yield of ester were assessed by response surface methodology (RSM). The external and internal mass transfer limitations were found to be absent. Analysis of variance (ANOVA) showed that the acquired quadratic model successfully interpreted the experimental data with the coefficient of determination values, (R2>0.98) and adjusted R2 values, (>0.97). The RSM model was validated by good agreement between the model predicted and experimental values for responses. Pseudohomogeneous (PH) kinetic model was used and validated (R2>0.95) with the experimental data. The activation energy and frequency factor were evaluated as 42.07 kJ mol−1 and 19,874.64 L mol−1 min−1, respectively.


International Journal of Food Engineering | 2011

Study of Whey Protein Concentrate Fortification in Cookies Variety Biscuits

Vishal R. Parate; Dilip K Kawadkar; Shriram S. Sonawane

Whey protein concentrate is one of the most cheaply available rich sources of quality proteins offering many health benefits, and it has the ability to improve the food products due to its various functional properties. In improving the nutritional status of biscuits, the incorporation of whey protein concentrate has proved its ideality. The objective of present study was to explore the possibility of fortifying the whey protein concentrate in the formulation of biscuits. Biscuits were prepared from the blend (wheat flour and whey protein concentrate) containing various wt% levels of whey protein concentrate (0, 20, 25, 30, 35 and 40 percent) using traditional creaming method. Prepared biscuits were then evaluated for chemical, physical and sensory properties. It was observed that the thickness of whey protein concentrate fortified biscuits increased with increasing wt% level of whey protein concentrate, whereas diameter, spread ratio, spread factor and weight decreased with increasing wt% level of incorporation. The sensory evaluation supported incorporation of maximum 25 percent level of whey protein concentrate.

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Kailas L. Wasewar

Visvesvaraya National Institute of Technology

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Mahesh N. Varma

Visvesvaraya National Institute of Technology

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Ajit P. Rathod

Visvesvaraya National Institute of Technology

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Abhijit Gadhe

Visvesvaraya National Institute of Technology

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Rohit S. Khedkar

Visvesvaraya National Institute of Technology

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Shirish H. Sonawane

National Institute of Technology

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Nishant Kumar

Visvesvaraya National Institute of Technology

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Antaram Sarve

Visvesvaraya National Institute of Technology

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Satyendra Mishra

North Maharashtra University

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Vishal S. Chandane

Visvesvaraya National Institute of Technology

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