Advanced Evaporation and Filtration Techniques for Reclaiming High – Purity Salts from Reactive Dying Wastewater
DOI:
https://doi.org/10.15662/IJEETR.2026.0802182Keywords:
Reactive dyeing, Salt recovery, Zero Liquid Discharge (ZLD), Total Dissolved Solids (TDS), Membrane separation, ATFD, Pusher centrifuge, Effluent treatment, Textile wastewater, SustainableAbstract
Cotton reactive dyeing continues to rely heavily on the use of large quantities of soluble inorganic salts such as sodium chloride and sodium sulphate to achieve optimum dyefibre fixation. Even with the emergence of low-salt dyeing technologies, commercial dyeing processes still generate effluents containing high total dissolved solids (TDS), accompanied by intense coloration and undesirable auxiliary chemicals. Discharge of such effluents poses significant environmental burdens, making recovery and reuse of salt a critical necessity for achieving sustainable Zero Liquid Discharge (ZLD) systems
Cotton reactive dyeing continues to rely heavily on the use of large quantities of soluble inorganic salts such as sodium chloride and sodium sulphate to achieve optimum dyefibre fixation. Even with the emergence of low-salt dyeing technologies, commercial dyeing processes still generate effluents containing high total dissolved solids (TDS), accompanied by intense coloration and undesirable auxiliary chemicals. Discharge of such effluents poses significant environmental burdens, making recovery and reuse of salt a critical necessity for achieving sustainable Zero Liquid Discharge (ZLD) systems
The ATFD system also provides operational advantages such as single-pass evaporation, low operating pressure, minimal film thickness, and high turndown ratio. The study concludes that salt recovery and reuse not only support ZLD compliance but also reduce environmental load and carbon footprint by substantially decreasing the need for fresh salt. Further research is recommended to enhance purification efficiency for salts recovered via pusher centrifuge and other methods
References
1. Erkanlı, M., Ruken Dilara ZAF, Yılmaz, L., ÇulfazEmecen, P. Z., &Yetiş, Ü. (2017). Recovery of brackish water from reactive dyeing wastewater by ultrafiltration. pp [01-18].
2. Chollom, M. N., Rathilal, S., Pillay, V. L., & Alfa, D. (2015). The applicability of nanofiltration for the treatment and reuse of textile reactive dye effluent. Water SA, pp [41].
3. A Case Study on Importance of Salt Recovery Plant in Textile Dyeing Industry.” Zerin, I., & Rasel, M. (2017). International Journal of Ecotoxicology and Ecobiology, pp[ 22].
4. Recovery of dyes and salts from highly concentrated (dye and salt) mixed water using nanofiltration ceramic membranes.” (2022), pp [232].
5. C.Nagarajan and M.Madheswaran - ‘Stability Analysis of Series Parallel Resonant Converter with Fuzzy Logic Controller Using State Space Techniques’- Taylor &Francis, Electric Power Components and Systems, Vol.39 (8), pp.780-793, May 2011. DOI: 10.1080/15325008.2010.541746
6. C.Nagarajan and M.Madheswaran - ‘Experimental verification and stability state space analysis of CLL-T Series Parallel Resonant Converter’ - Journal of Electrical Engineering, Vol.63 (6), pp.365-372, Dec.2012. DOI: 10.2478/v10187-012-0054-2
7. C.Nagarajan and M.Madheswaran - ‘Performance Analysis of LCL-T Resonant Converter with Fuzzy/PID Using State Space Analysis’- Springer, Electrical Engineering, Vol.93 (3), pp.167-178, September 2011. DOI 10.1007/s00202-011-0203-9
8. S.Tamilselvi, R.Prakash, C.Nagarajan,“Solar System Integrated Smart Grid Utilizing Hybrid Coot-Genetic Algorithm Optimized ANN Controller” Iranian Journal Of Science And Technology-Transactions Of Electrical Engineering, DOI10.1007/s40998-025-00917-z,2025
9. S.Tamilselvi, R.Prakash, C.Nagarajan,“ Adaptive sliding mode control of multilevel grid-connected inverters using reinforcement learning for enhanced LVRT performance” Electric Power Systems Research 253 (2026) 112428, doi.org/10.1016/j.epsr.2025.112428
10. S.Thirunavukkarasu, C. Nagarajan, 2024, “Performance Investigation on OCF and SCF study in BLDC machine using FTANN Controller," Journal of Electrical Engineering And Technology, Volume 20, pages 2675–2688, (2025), doi.org/10.1007/s42835-024-02126-w
11. C. Nagarajan, M.Madheswaran and D.Ramasubramanian- ‘Development of DSP based Robust Control Method for General Resonant Converter Topologies using Transfer Function Model’- Acta Electrotechnica et Informatica Journal , Vol.13 (2), pp.18-31,April-June.2013, DOI: 10.2478/aeei-2013-0025.
12. C.Nagarajan and M.Madheswaran - ‘DSP Based Fuzzy Controller for Series Parallel Resonant converter’- Springer, Frontiers of Electrical and Electronic Engineering, Vol. 7(4), pp. 438-446, Dec.12. DOI 10.1007/s11460-012-0212-0.
13. C.Nagarajan and M.Madheswaran - ‘Experimental Study and steady state stability analysis of CLL-T Series Parallel Resonant Converter with Fuzzy controller using State Space Analysis’- Iranian Journal of Electrical & Electronic Engineering, Vol.8 (3), pp.259-267, September 2012.
14. C.Nagarajan and M.Madheswaran, “Analysis and Simulation of LCL Series Resonant Full Bridge Converter Using PWM Technique with Load Independent Operation” has been presented in ICTES’08, a IEEE / IET International Conference organized by M.G.R.University, Chennai.Vol.no.1, pp.190-195, Dec.2007
15. Suganthi Mullainathan, Ramesh Natarajan, “An SPSS and CNN modelling based quality assessment using ceramic materials and membrane filtration techniques”, Revista Materia (Rio J.) Vol. 30, 2025, DOI: https://doi.org/10.1590/1517-7076-RMAT-2024-0721
16. M Suganthi, N Ramesh, “Treatment of water using natural zeolite as membrane filter”, Journal of Environmental Protection and Ecology, Volume 23, Issue 2, pp: 520-530,2022
17. A Comprehensive Review on the Sustainable Treatment of Textile Wastewater: Zero Liquid Discharge and Resource Recovery Perspectives.” (2022). pp [09-122].
18. Soundappan, S. J. (2026). Building Trustworthy AI: Explainability and Security in Modern Cloud-Native Data-Driven Ecosystem Platforms. International Journal of Engineering & Extended Technologies Research (IJEETR), 8(2), 570-579.
19. Sugumar, R. (2024). AI-Driven Cloud Framework for Real-Time Financial Threat Detection in Digital Banking and SAP Environments. International Journal of Technology, Management and Humanities, 10(04), 165-175.
20. Sugumar, R. (2025). Designing Resilient and Scalable Cloud-Native Frameworks for Generative AI Content Production. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13268-13279.
21. G. Vimal Raja, K. K. Sharma (2014). Analysis and Processing of Climatic data using data mining techniques. Envirogeochimica Acta 1 (8):460-467.





