Abstract
Graphite nanoparticles are synthesized by comminution of coarse graphite particles over an extended period in a ball mill. The size reduction is modelled using artificial neural network to develop a predictive tool to minimize contamination due to attrition in the ball mill. The particle size analysis and microstructural characterization were carried out using X-ray diffraction, Scanning Electron Microscopy and Transmission Electron Microscopy. It was found that the strain stored in the graphite lattice reaches a saturation value and remains constant during extended milling. Thermal annealing at 600°C for 1h effectively relieves the residual stresses so that the nanosized graphite particles are stress free. This paper demonstrates that mechanical milling can be an effective tool to synthesize stress free nanosized graphite particles in bulk.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
