Sarat Chandra Mohanty’s research while affiliated with Ayush & Health Sciences University Chhattisgarh and other places

Water treatment is paramount in tackling the increasingly pressing environmental issues associated with water contamination. The present study investigates the progression of novel nanomaterials as exceptionally effective adsorbents for water purification while also evaluating their potential ecological consequences. The significance of water treatment cannot be overstated when it comes to protecting the environment and ensuring public health. This is due to the intricate and varied pollutants that are brought into water sources from many sources of waste, such as household, industrial, and environmental concerns. Adsorbents are crucial in capturing and immobilizing contaminants, making them essential instruments in this particular setting. Nanomaterials have garnered attention as potential adsorbents owing to their notable specific surface area and adjustable features. These materials possess a large surface area, reactivity, and configurable surface chemistry, rendering them intriguing candidates for adsorption applications. This manuscript presents the Innovative Nanoparticles for Water Treatment Framework (INM-WTF). This innovative approach utilizes state-of-the-art nanoparticles to improve water treatment processes' efficiency significantly. The outcomes of the INM-WTF experiment include the following parameters: Pollutant Removal Efficiency of 96.5%, Permeate Flux of 395 L/m²h, Adsorption Capacity of 155 mg/g, Photocatalytic Degradation Rate of 85%/hour, Membrane Filtration Efficiency of 97.5%, and Water Quality Compliance of 1.7 µg/L. The results indicate significant progress in water treatment capabilities, emphasizing nanomaterials' potential to tackle environmental issues, enhance water quality, and guarantee adherence to rigorous regulatory benchmarks.

A prodigious research work is being effectuated to endorse the optimal machining parameters while entailing present day machining techniques to bring outclassy products. This research work insisted on suggesting the optimum process parameters of die sinking EDM with 8mm diameter copper electrode during machining AISI D2 steel using TOPSIS.Taguchi’s L9 Orthogonal Array method was adopted to design 9 experiments in total and Pulse on time (T on ), Servo voltage (SV) and Peak current (I P ) are chosen as input parameters. Three levels of each parameter were selected for designing the experimentation. EDM oil which is a synthetic oil is selected as dielectric and all the values of Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) for each experiment were noted as the output responses. Analysis of Variance (ANOVA) was done to recommend the impact of each input parameter on output responses. Analytical Hierarchy Process (AHP) was used to select the weightage of each response and then Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) which is a multi-criteria decision analysis method, was accompanied for determination of ideal parameters for machining AISI D2 steel. Eventually it is descried that the amalgamation of level 3 of pulse on time, level 3 of Peak Current and level 3 of servo voltage propounds the optimum result.

A colossal research work is being consummated to propose the optimal machining parameters while necessitating current machining techniques to attain elegant products. This research work foregrounded the optimum process parameters of die sinking EDM with 8mm diameter copper electrode during machining AISI D2 steel. Taguchi’s L9 OA method was adopted to design 9 experiments in total and Pulse on time (T on ), Servo voltage (SV) and Peak current (IP) are chosen as input parameters. Three levels of each parameter were selected for designing the experimentation. A natural vegetable oil named Canola oil which is an extract from Canola seeds is taken as dielectric and all the values of Material Removal Rate (MRR), Tool Wear Rate (TWR) and Surface Roughness (SR) for each experiment were noted as the output responses. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Grey Relational Analysis (GRA) which are two Multi-Criteria Decision Making (MCDM) methods were accompanied for determination of ideal parameters for machining AISI D2 steel. Ultimately it is espied that the coalescence of level 3 of pulse on time, level 2 of Peak Current and level 2 of servo voltage propounds the optimum result by performing TOPSIS and GRA.

In the current examination, adjustment of epoxy resin has been conducted by multi-walled carbon nanotube (MWCNT) by a consecutive cycle containing stirring, sonication and followed by vacuum degassing (VD). Accentuation has been centred on the impact of I) VD time (4, 12, 18 and 50 hours) of MWCNT/epoxy mixture and ii) MWCNT content in the epoxy resin (0.1 and 0.3 wt. % w.r.t epoxy) on flexural properties of MWCNT installed glass/epoxy-composite (MWCNT- GE) concerning the control glass/epoxy (GE) composites. Greatest flexural quality in the MWCNT (0.1%)- GE composite was acquired with 18 hours VD (27% higher than the control GE), whereas modulus was found to be maximum with 12 hours VD (nearly22% higher than control GE). Incorporation of a higher MWCNT content (0.3wt. %)resulted in a poor flexural performance due to agglomeration as confirmed from scanning electron microscope(SEM).