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Numerical investigation of ultrasonic cleaning in the rubber glove industry: A comparison of the linear helmholtz and commander-prosperetti models.
- Source :
-
Chemical Engineering & Processing . Jan2025, Vol. 207, pN.PAG-N.PAG. 1p. - Publication Year :
- 2025
-
Abstract
- • Linear Helmholtz and CP models show differences in pressure predictions. • Best pressure fields achieved by placing glove formers above transducers. • Higher bubble densities enhance pressure zones but introduce complexities. • Simulation offers guidelines for designing ultrasonic cleaning systems. Ultrasonic cleaning is an effective industrial method that enhances cleaning efficiency by reducing the time and chemicals needed. In the glove manufacturing sector, ultrasound accelerates cleaning, even without harsh chemicals. This study optimises ultrasonic cleaning systems specifically for ceramic glove formers through cavitation, which occurs when acoustic pressure exceeds Blake's threshold. The research compares two acoustic models: Linear Helmholtz and Commander and Prosperetti (CP), to simulate and enhance acoustic pressure fields in ultrasonic tanks. Finite Element Method (FEM) simulations using COMSOL Multiphysics assessed various factors, such as tank dimensions, transducer placements, and attenuation coefficients, on system performance. Results showed that the CP model provides a more accurate representation of acoustic pressure distribution by incorporating bubble dynamics and sound wave attenuation, while the Linear Helmholtz model tends to overestimate pressures. Simulations indicated that placing glove formers directly above transducers optimises pressure fields in the CP model, while the Helmholtz model preferred positioning them between transducers. Energy efficiency evaluations revealed approximately 58.33 W of energy required per glove former, achieving a power density of 7.41 W L⁻¹. This research highlights the importance of balancing acoustic pressure and energy efficiency for effective ultrasonic cleaning systems in industrial applications. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02552701
- Volume :
- 207
- Database :
- Academic Search Index
- Journal :
- Chemical Engineering & Processing
- Publication Type :
- Academic Journal
- Accession number :
- 181513452
- Full Text :
- https://doi.org/10.1016/j.cep.2024.110071