Coating thickness and process efficiency of reverse roll coating using a magnetized hybrid nanomaterial flow
Abstract Coating techniques are broadly used in the production of sticky tapes, plastic films, books, wallpapers and magazines, adhesive tapes, as well as the textile and metal preservation, packaging, material protection, and X-ray films. The rheology of the magneto-hydrodynamic (MHD) hybrid nanomaterial on the final coating thickness is studied by using the reverse roll coating technique. In the coating industry, the application of nanomaterials over the sheet/substrate has better non-Newtonian like rheological features as opposed to the ordinary fluid. The dimensionless governing equations are reduced using lubrication approximation theory, and the exact solutions for velocity and pressure gradient are obtained. To find the transition point, coating thickness, and other mechanical quantities, a numerical technique is utilized. Graphs and tables are used to study the impacts of hybrid nanoparticles and magnetic fields on the flow and engineering quantities in detail. The flow rate, transition point, and coating thickness decrease due to an increase in the nanoparticle volume fraction and MHD. Controlling these relevant parameters helps in engineering applications, including attaining an efficient coating process, protecting and prolonging the substrate life.
Authors
- Zaheer Abbas (ORCID: https://orcid.org/0000-0001-5785-2034)
- Mehmood Ahmad (ORCID: https://orcid.org/0000-0001-7497-6418)
- Sabeeh Khaliq (ORCID: https://orcid.org/0000-0001-9425-8472)
- Moin‐ud‐Din Junjua (ORCID: https://orcid.org/0000-0002-1251-1532)
- N. Shaheen
Institutions
- Zhejiang Normal University (CN)
- Islamia University of Bahawalpur (PK)
- Shaikh Zayed Medical College and Hospital (PK)
- Khwaja Fareed University of Engineering and Information Technology (PK)
Publication Details
- Journal
- Open Physics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1515/phys-2025-0173
- Citations
- 2
- Primary Topic
- Nanofluid Flow and Heat Transfer
- Type
- article
- Field-Weighted Citation Impact
- 1.35