Dewatering of Sludge Through Vibratory Sieving

The article describes the results obtained by the authors in sludge dewatering through new processes and evaluating their performance. The research is part of sustainable development by valorizing the sludge and agricultural waste in composite materials with applicability in the constructions from rural areas. The main method of sludge dewatering tested in this research is vibratory sieving dewatering. The experimental research examined three variable parameters: initial sludge moisture, sieve angle, and the engine speed causing sieve vibration. A three-factorial experiment was performed with four values for each of the three parameters considered, and the results were processed using descriptive and inferential statistics. Absolute and relative dewatering depend the most on the initial sludge moisture and sieve tilt angle. In conclusion, it was found that dewatering by vibrating sieving can achieve an almost double range of values for absolute performance, compared to pressing dewatering. However, the efficiency of dewatering by pressing is superior to dewatering by vibratory sieving. As a matter of absolute values, the two dewatering processes that were studied and described in this article perform below the values achieved by the classical processes: natural, thermal, and mechanical.

Authors

Institutions

Publication Details

Journal
Sustainability
Published
2024-12-27
DOI
https://doi.org/10.3390/su17010141
Citations
2
Primary Topic
Electrokinetic Soil Remediation Techniques
Type
article
Field-Weighted Citation Impact
0.42
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dewatering of Sludge Through Vibratory Sieving

Ion Durbaca, RADU IATAN, Elena Surdu, Petru Cârdei et al.
2 citations
Sustainability
Electrokinetic Soil Remediation Techniques
0.42
article

Dewatering of Sludge Through Vibratory Sieving

Ion Durbaca, RADU IATAN, Elena Surdu, Petru Cârdei, Dana-Claudia Farcas-Flamaropol, Nicoleta Sporea
article en
2 citations

Abstract

The article describes the results obtained by the authors in sludge dewatering through new processes and evaluating their performance. The research is part of sustainable development by valorizing the sludge and agricultural waste in composite materials with applicability in the constructions from rural areas. The main method of sludge dewatering tested in this research is vibratory sieving dewatering. The experimental research examined three variable parameters: initial sludge moisture, sieve angle, and the engine speed causing sieve vibration. A three-factorial experiment was performed with four values for each of the three parameters considered, and the results were processed using descriptive and inferential statistics. Absolute and relative dewatering depend the most on the initial sludge moisture and sieve tilt angle. In conclusion, it was found that dewatering by vibrating sieving can achieve an almost double range of values for absolute performance, compared to pressing dewatering. However, the efficiency of dewatering by pressing is superior to dewatering by vibratory sieving. As a matter of absolute values, the two dewatering processes that were studied and described in this article perform below the values achieved by the classical processes: natural, thermal, and mechanical.

SustainabilityVol. 17(1)
The National Institute of Research – Development for Machines and Installations Designed for Agriculture and Food Industry (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Zero hunger
Openalex Percentile: Top 36%
Electrokinetic Soil Remediation Techniques
0.42
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.