摘要:
Processes for the simultaneous and selective growth of single walled and multiwalled carbon nanotubes in a single set of experiments are disclosed. The processes may include preparing a graphite electrode rod containing catalyst selected from Fe, Co, Ni, and a mixture thereof, acting as an anode. The process may include preparing another graphite electrode rod, each electrode having a distal and a proximal end. The process may include placing the above said two electrodes parallel to each other and their axis being substantially aligned in a chamber. The process may further include creating a DC-arc discharge inside the chamber by applying a DC-current voltage. The process may further include an cooling assembly having a cooling coil that surrounds the two electrodes. The cooling assembly may be used to maintain a temperature gradient that permits the depositing of single walled and multiwalled carbon nanotubes simultaneously in one experiment.
摘要:
The present invention provides a process for the simultaneous and selective growth of single walled and multiwalled carbon nanotubes using electric arc discharge technique. According to present development it is possible to synthesise and collect catalyst free carbon nanotubes from cathode deposit. A mechanism of cooling coil arrangement was designed and used inside the arc discharge chamber so as to be capable to grow sufficient amount of single walled carbon nanotubes in the form of webs surrounding the coil. The present invention offers a scalable way for producing both SWNTs and MWNTs in the single run.
摘要:
A method has been developed for predicting a remaining operational life of a turbine component including: obtaining crack flaw data regarding current crack flaws in the turbine component; using the crack flaw data with data regarding the structure and operating conditions of the turbine component to determine force loads applied to the turbine component and generate crack propagation data; applying a probalistic analysis to the crack flaw data and the generated crack propagation data to generate a statistical distribution of crack data, and applying the statistical distribution of crack data to predict a time to failure of the component by iteratively determining the force loads for successive periods of time.