Paper Title
Artificial Intelligence Based Adsorptive Removal of a Textile Dye From Wastewater
Article Identifiers
Authors
Vinitrraj suresh patil , Raviraj kailas patil
Keywords
Textile Dye, Activated Carbon
Abstract
Textile knit industry uses large amount of organic and inorganic chemicals as dyes that are directly or indirectly responsible for producing wastewater. The rate of wastewater disposals from the textile industries is reaching a warning level nowadays. The discarding of colored wastes into the water bodies damages the environment and toxic to human and aquatic life. The wastewater contains very high concentration of COD and BOD; and huge amount of suspended solids and other contaminants. Most sophisticated methods are required for treating wastewater in textile industries. Methods such as chemical, coagulation, flocculation, reverse osmosis, Nano‐filtration, Ultra‐filtration have been recommended. However these methods are very much complex and expensive. That is why these methods are not affordable to textiles industries in developing countries like Bangladesh. Adsorption has gained supreme importance for environment protection by removing textile dyes from disposed water. Some of the adsorbents are effective in removing dyes and various pollutants, but some are not. That is why, new effective adsorbents are needed which should be cost effective, energy efficient, design flexible, biodegradable and available.
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How To Cite (APA)
Vinitrraj suresh patil & Raviraj kailas patil (February-2024). Artificial Intelligence Based Adsorptive Removal of a Textile Dye From Wastewater. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), c436-c440. https://ijnrd.org/papers/IJNRD2402250.pdf
Issue
Volume 9 Issue 2, February-2024
Pages : c436-c440
Other Publication Details
Paper Reg. ID: IJNRD_214277
Published Paper Id: IJNRD2402250
Downloads: 000121980
Research Area: Chemical EngineeringÂ
Country: Nandurbar, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2402250.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402250
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