Towards the design of energy-efficient bubble clusters and operation strategies for process control in sonochemical reactors.

Ferenc Kubicsek, Sára Molnár, Dániel Nagy, Ferenc Hegedűs

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In one paragraph

Article in Ultrasonics sonochemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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1 · What the graph read from it

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2 · The registry

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ferenc KubicsekDepartment of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: fkubicsek@hds.bme.hu.

Sára MolnárDepartment of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

Dániel NagyDepartment of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary.

Ferenc HegedűsDepartment of Hydrodynamic Systems, Faculty of Mechanical Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111 Budapest, Hungary. Electronic address: fhegedus@hds.bme.hu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Energy efficiency and process control are critical challenges in scaling sonochemical applications. To address this, we introduce a numerical optimisation framework focused on designing pre-seeded bubble clusters driven by impulse ultrasound to minimise energy consumption. The methodology efficiently handles the large parameter space (bubble sizes) by combining fast, reduced-order modelling of spherical bubbles and chemical kinetics with expensive multi-phase hydrodynamic simulations (ALPACA). The technique is demonstrated on two test cases: ammonia (NH

Indexed as

AmmoniaBubble clusterBubble dynamicsBubble size distributionHydrogenMicrobubbles

Identifiers

PMID41865724

DOI10.1016/j.ultsonch.2026.107819

PMCPMC13022677

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.