U
Ubaidillah
Researcher at Sebelas Maret University
Publications - 143
Citations - 1597
Ubaidillah is an academic researcher from Sebelas Maret University. The author has contributed to research in topics: Magnetorheological fluid & Magnetorheological elastomer. The author has an hindex of 19, co-authored 124 publications receiving 1069 citations. Previous affiliations of Ubaidillah include Universiti Teknologi Malaysia & Universiti Teknikal Malaysia Melaka.
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Recent Progress on Magnetorheological Solids: Materials, Fabrication, Testing, and Applications†
TL;DR: Magnetorheological (MR) materials are classified as smart materials due to their responsiveness to external magnetic stimuli as discussed by the authors, and they have led to broad applications in several potential fields.
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A review on the fused deposition modeling (FDM) 3D printing: Filament processing, materials, and printing parameters
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A high performance magnetorheological valve with a meandering flow path
Fitrian Imaduddin,Saiful Amri Mazlan,Mohd Azizi Abdul Rahman,Hairi Zamzuri,Ubaidillah,Burhanuddin Ichwan +5 more
TL;DR: In this paper, a meandering flow path is formed by combining multiple annular, radial and orifice flow channels to increase the effective area so that the MR fluid can be regulated within a small-sized valve.
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The Field-Dependent Rheological Properties of Magnetorheological Grease Based on Carbonyl-Iron-Particles
TL;DR: In this paper, the authors present dynamic viscoelastic properties of magnetorheological (MR) grease under variation of magnetic fields and magnetic particle fractions using both rotational and oscillatory shear rheometers.
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Constitutive models of magnetorheological fluids having temperature-dependent prediction parameter
Irfan Bahiuddin,Irfan Bahiuddin,Saiful Amri Mazlan,I Shapiai,Fitrian Imaduddin,Ubaidillah,Seung-Bok Choi +6 more
TL;DR: In this paper, the authors presented constitutive models of magnetorheological (MR) fluids, which can predict the shear and dynamic yield stress depending on temperature, using the extreme learning machine (ELM) method.