A5028478070- Advanced Machining and Optimization Techniques
- Advanced machining processes and optimization
- Advanced Surface Polishing Techniques
- Laser Material Processing Techniques
- Electrospun Nanofibers in Biomedical Applications
- Solar Thermal and Photovoltaic Systems
- Injection Molding Process and Properties
- Bone Tissue Engineering Materials
- Solar Energy Systems and Technologies
- Phase Change Materials Research
- Natural Fiber Reinforced Composites
- Recycling and Waste Management Techniques
- Tribology and Wear Analysis
- Textile materials and evaluations
- Biochemical and biochemical processes
- Polymer Nanocomposite Synthesis and Irradiation
- Smart Grid Security and Resilience
- Magnesium Alloys: Properties and Applications
- Smart Agriculture and AI
- Solar-Powered Water Purification Methods
- Advanced Manufacturing and Logistics Optimization
- Polymer Nanocomposites and Properties
- Blockchain Technology Applications and Security
- Essential Oils and Antimicrobial Activity
- Diet and metabolism studies
Bundelkhand University
2015-2025
Indian Institute of Technology Bombay
2017-2019
Motilal Nehru National Institute of Technology
2014-2017
The objective of the present investigation was to assess potential magnesium oxide nanoparticle (MgO NP)-loaded electrospun polycaprolactone (PCL) polymer composites as a bone-soft tissue engineering scaffold. MgO NPs were synthesized using hydroxide precipitation sol-gel method and characterized field emission gun-scanning electron microscopy/energy-dispersive x-ray spectroscopy (FEG-SEM/EDS), gun-transmission microscopy (FEG-TEM), diffraction (XRD) analysis. PCL MgO-PCL nanocomposite...
Energy storage materials have the potential to improve performance of thermal systems due their excellent thermo-physical properties. Different energy been tested for different and found adequate performance. Present work focuses, (i) on development two composite (CESM) by mixing graphite black powder (obtained from lithium batteries cells) in paraffin wax coconut oil, (ii) testing these solar space heating inside similar air namely, Model-2 Model-3. Air trials conducted four configurations...
A novel composite biomaterial for bone-soft tissue fixation applications was developed. MgO-Silk-PCL, Silk-PCL and MgO-PCL composites were prepared with variable filler concentrations (0, 10, 20 30% w/w of MgO nanoparticles 0%, 5%, 10%, 20% degummed silk fiber) in PCL polymer. The highest mechanical properties obtained 10% Silk (MSP) wih 1.7× better tensile strength 7.5× modulus over PCL. It exhibited good cell viability, adhesion hemocompatibility, increased proliferation differentiation....
Free radical-scavenging antioxidants have the potential as protective agents against various degenerative diseases caused by oxidative damage. Microorganisms are shown to be a promising new source of natural antioxidants. In present study, supernatant (crude extract) and different solvent extracts (ethyl acetate, n-butanol, dichloromethane) Saccharomyces boulardii’s growth were evaluated for antioxidant activity using free radical scavenging (1,1-Diphenyl-2-picryl hydrazyl; DPPH) assay,...
Composites that were made stronger with jute fiber and glass used to test the performance of filament wound abaca composites. Tensile, bending, dynamic mechanical analyses figure out properties Fiber composites glass-fiber found have higher density than fiber-based This is because resin did not get into cell cavity fiber’s inner tissue structure. The worked worst those in which fibers pulled while on surface torn. fiber-reinforced epoxy circumferential composite interface junction twisting...
The development of an accurate model for the prediction surface roughness is still a key issue Micro Electro-Discharge Machining (micro-EDM) due to its complex nature. In this paper, Finite Element Method (FEM) based thermal developed estimate on geometry crater produced during micro-EDM process. obtained using temperature field in workpiece. More real considerations such as Gaussian heat flux distribution, dependent material properties, phase change phenomena and overlapping craters are...
Selection of machining conditions for improved performance characteristics has great importance during wire EDM, because numerous control factors contribute machining.In the present study an attempt been made to find optimal multi simultaneously by applying grey relational analysis using entropy measurement which Taguchi based L9 orthogonal array used conducting experiments.The considered are cutting rate and surface roughness.Peak current, pulse on time, off time feed as input...
Abstract Holes of diameter less than 1 mm has wide application manufacturing sector. Laser beam can be conveniently used for creation such hole in different materials. The Carbon Fiber Reinforced Composite (CFRP) is quickly replacing the conventional materials most engineering applications. Therefore, a detail parametric study to analyse influence factors like laser current, interaction time, pressure assist gas, workpiece thickness and incidence angle on geometrical accuracy terms...
Nonalcoholic fatty liver disease (NAFLD) is at the upward thrust global Representing a public fitness issue. Its coexistence with weight problems and Different metabolic changes relatively frequent. Therefore, present day remedy Interventions for NAFLD are especially centered on modern reduction Thru modulation of normal calorie consumption without or precise Macronutrient adjustments. Furthermore, different applicable dietary constructed meals choice time-restrained eating. Since Each...
Improving productivity and surface quality in sinking micro-electrical discharge machining (S-MEDM) process is still a challenging task for manufacturing engineers. In order to fulfil these requirements, modelling optimisation of the S-MEDM needed. this paper, prediction model has been developed using coupled methodology finite element method (FEM) artificial neural network (ANN). First, FEM-based incorporating realistic aspects such as Gaussian heat flux distribution, time dependent spark...
Improving productivity and surface quality in sinking micro-electrical discharge machining (S-MEDM) process is still a challenging task for manufacturing engineers. In order to fulfil these requirements, modelling optimisation of the S-MEDM needed. this paper, prediction model has been developed using coupled methodology finite element method (FEM) artificial neural network (ANN). First, FEM-based incorporating realistic aspects such as Gaussian heat flux distribution, time dependent spark...