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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Li, Q.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (24/24 displayed)
- 2024Advanced Materials for Energy Harvesting and Soft Robotics: Emerging Frontiers to Enhance Piezoelectric Performance and Functionalitycitations
- 2024ABC block copolymer micelles driving the thermogelation: scattering, imaging and spectroscopycitations
- 2023Signature of quantum criticality in cuprates by charge density fluctuationscitations
- 2023A feed direction cutting force prediction model and analysis for ceramic matrix composites C/SiC based on rotary ultrasonic profile millingcitations
- 2022Local Structural Investigation of (Ba,Ca)(Zr,Ti)O<sub>3</sub> and Ca(Zr,Ti)O<sub>3</sub> by X-Ray Fluorescence Holographycitations
- 2021Co-hydrothermal carbonization of swine and chicken manurecitations
- 2021Simulation of deterministic tyre noise based on a monopole substitution modelcitations
- 2020Knocking on giants' doors: I. The evolution of the dust-to-stellar mass ratio in distant dusty galaxies
- 2020In pursuit of giants. I. The evolution of the dust-to-stellar mass ratio in distant dusty galaxiescitations
- 2017Promotion of neuronal regeneration by using self-polymerized dendritic polypeptide scaffold for spinal cord tissue engineering.citations
- 2016Self-assembled periodical polycrystalline-ZnO/a-C nanolayers on Zn nanowire.citations
- 20151,2,4-Triazolium perfluorobutanesulfonate as an archetypal pure protic organic ionic plastic crystal electrolyte for all-solid-state fuel cellscitations
- 2015The effect of preparation method on the proton conductivity of indium doped tin pyrophosphatescitations
- 2015Experimental and theoretical investigations of the electronic band structure of metal-organic frameworks of HKUST-1 typecitations
- 2014Mechanical properties and microstructure of single-wall carbon nanotube/elastomeric epoxy composites with block copolymerscitations
- 2012Electric field computation for a 400 kV composite cross-armcitations
- 2012Nanosession: Multiferroic Thin Films and Heterostructures
- 2012Influence of MWCNT dispersion on corrosion behaviour of their Mg compositescitations
- 2012Temperature-dependent electrical, elastic and magnetic properties of sol–gel synthesized Bi0.9Ln0.1FeO3Ln = Nd, Sm)citations
- 2011Corrosion behaviour of multiwall carbon nanotube/magnesium composites in 3.5% NaClcitations
- 2008Two-color InGaAsGaAs quantum dot infrared photodetectors by selective area interdiffusioncitations
- 2007Ultrafast Terahertz Conductivity of Photoexcited Nanocrystalline Siliconcitations
- 2006Thermal and electrical conductivity of single- and multi-walled carbon nanotube-epoxy compositescitations
- 2004Carbon nanotube/epoxy resin composites using a block copolymer as a dispersing agentcitations
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article
A feed direction cutting force prediction model and analysis for ceramic matrix composites C/SiC based on rotary ultrasonic profile milling
Abstract
<jats:p>Ceramic matrix composites have immense applications in the aerospace, aircraft, and automobile industries. Belonging to this class, carbon-fiber reinforced ceramic matrix composites (C/SiC) are used for critical applications due to their superior properties. However, these materials have also stringent properties of heterogeneity, anisotropy, and varying thermal properties that affect machining quality and process efficiency. So, developing a cutting force prediction model and analyzing machining parameters is an essential need for the accurate machining of such materials. In this study, a mechanistic-based feed direction cutting force prediction model for rotary ultrasonic profile milling of C/SiC composites is developed and validated experimentally. The experimental and simulation results closely match each other. The mean error and standard deviation were recorded as 1.358 % and 6.003, respectively. The parametric sensitivity analysis showed that cutting force decreased with increased cutting speed, whereas it increased with increased feed rate and cutting depth. The proposed cutting force model for rotary ultrasonic profile milling of C/SiC composites is robust and can be applied to predict cutting forces and optimize the machining process parameters at the industry level.</jats:p>