Optimization of needle punched nonwoven filter media for enhanced dust filtration performance

Keivan Naderi ¹, Parham Soltani ², Yu Song ³

⁰Department of Textile Engineering, Isfahan University of Technology, Isfahan, 84156-83111, Iran.

Scientific Reports +

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August 29, 2025

View abstract on PubMed

Summary

Optimizing polypropylene nonwoven fabric production enhances filtration efficiency. This study refined needle punching and calendering parameters, achieving high-performance filters for industrial air and automotive applications.

Area Of Science

Materials Science: Focuses on the development and characterization of advanced nonwoven fabrics for filtration.
Chemical Engineering: Investigates melt-spinning and needle-punching processes for optimizing material properties.
Mechanical Engineering: Analyzes the impact of process parameters on the structural integrity and performance of filter media.

Background

Nonwoven fabrics possess unique structural properties like high porosity and customizable fiber arrangements, making them suitable for diverse filtration needs.
Existing filtration technologies require optimization to meet increasing demands for efficiency and performance in industrial and automotive sectors.
Polypropylene nonwovens are widely used but their filtration capabilities can be significantly improved through precise process control.

Purpose Of The Study

To investigate the influence of key process parameters on the filtration performance of needle-punched nonwoven fabrics.
To develop predictive models for filtration efficiency, pressure drop, and quality factor based on process variables.
To determine optimal processing conditions for maximizing filter performance and validate them experimentally.

Main Methods

Polypropylene fibers of 1.5 and 3 denier were melt-spun and fabricated into nonwoven media using a semi-industrial needle punching line.
Response Surface Methodology (RSM-I-optimal) was employed to design experiments and analyze the effects of blending ratio, needle penetration, strokes, calendering temperature, and pressure.
Filtration performance (efficiency, pressure drop, quality factor) was assessed per ISO 11,057, with microstructural analysis via X-ray µCT and numerical simulations.

Main Results

Quadratic models were successfully developed to predict filtration efficiency, pressure drop, and quality factor, with ANOVA confirming parameter significance.
Optimal conditions were identified, predicting 94.99% efficiency, 61.07 Pa pressure drop, and 0.0456 1/Pa quality factor.
Experimental validation closely matched predictions, achieving 93.37% efficiency and 62.52 Pa pressure drop, demonstrating the effectiveness of the optimized process.

Conclusions

Careful optimization of needle punching and calendering parameters significantly enhances the filtration performance of nonwoven fabrics.
The developed models provide a reliable framework for predicting and optimizing filter media performance for industrial applications.
The optimized nonwoven filter media exhibit excellent filtration capabilities, validated through experimental testing, modeling, and CFD simulations.

Keywords:

Filtration performance Microstructural properties, numerical simulation Needled nonwoven fabric Process parameters RSM-I-optimal X-ray micro-computed tomography

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