Ajay Kumavat

Bio: Ajay Kumavat is an academic researcher. The author has contributed to research in topics: Water treatment & Arsenic. The author has an hindex of 1, co-authored 1 publications receiving 4 citations.

Use of marble and iron waste additives for enhancing arsenic and E. Coli contaminant removal capacity and strength of porous clay ceramic materials for point of use drinking water treatment

Abstract: This paper elaborates manufacture and performance analysis of new clay ceramic (CC) water filtration materials. The CC is manufactured from clay and sawdust mix. Waste marble powder and machined iron fines are used as additives to the mix for manufacturing the new modified materials. An equal volume of clay and sawdust were used to manufacture the control CC. Another ceramic, marble clay ceramic (MCC), was manufactured with distinct volume fractions of clay, sawdust, and marble (40:40:10). Third ceramic, ferrous clay ceramic (FCC), was manufactured from an equal volume of clay and sawdust and five percent by volume of iron fines. FCC showcased better arsenic (As (V)) contaminant removal from water at acidic pH while MCC showcased best As (V) removal at around pH of 8. Average flexural strength of MCC was comparatively better than FCC and CC. The modified materials showcased similar percolation rates at par with control CC. MCC showcased comparatively better E. coli removal capabilities than FCC and CC. Only limited volumetric addition of marble powder and iron fines were found to positively affect compressive strength. The results demonstrate new low-cost ways of modifying strength and specific water treatment characteristics of CC using waste materials from local marble-processing and iron-machining industries.

Article Application of neural network in metal adsorption using biomaterials (BMs): a review.

Abstract: With growing environmental consciousness, biomaterials (BMs) have garnered attention as sustainable materials for the adsorption of hazardous water contaminants. These BMs are engineered using surface treatments or physical alterations to enhance their adsorptive properties. The lab-scale methods generally employ a One Variable at a Time (OVAT) approach to analyze the impact of biomaterial modifications, their characteristics and other process variables such as pH, temperature, dosage, etc., on the removal of metals via adsorption. Although implementing the adsorption procedure using BMs seems simple, the conjugate effects of adsorbent properties and process attributes implicate complex nonlinear interactions. As a result, artificial neural networks (ANN) have gained traction in the quest to understand the complex metal adsorption processes on biomaterials, with applications in environmental remediation and water reuse. This review discusses recent progress using ANN frameworks for metal adsorption using modified biomaterials. Subsequently, the paper comprehensively evaluates the development of a hybrid-ANN system to estimate isothermal, kinetic and thermodynamic parameters in multicomponent adsorption systems.

Application of Marble Slurry a Low Cost Waste Material for the Removal of Co(II) Ions from Synthetic Aqueous Solutions

Abstract: The present paper deals with the equilibrium adsorption of Co(II) by marble slurry. The ad- sorption follows Langmuir, Freundlich and Tempkin isotherms. The maximum monolayer coverage (Q from Langmuir isotherm model has been found to be 322.58 mg/g, separation factor indicating a favorable adsorption experiment is 0.031. Adsorption intensity (1/n) has been calculated using Freundlich isother- m,which indicates favorable adsorption and correlation, values are 4.65 L/g, and 0.991 respectively. The heat of adsorption process has also been estimated using Tempkin isotherm model and found to be 5.07, which widely proves that the adsorption experiments followed both physical and chemical adsorption pro- cesses.