Title:
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Strategies for application of focused ion beams in micro and nano manufacturing
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This thesis presents a new methodology for high precision
nanoscale machining using Focused Ion Beam (FIB) processes. The
methodology is supported by several novel models and methods
developed during the PhD project.
Gallium focused ion beam instruments are capable of processing
virtually any material with a nanometre resolution. This has established
FIB based instruments as invaluable specimen preparation tools in
material science and circuit editing and failure analysis tools in the
semiconductor industry. So far, the technique has had limited application
in nano and micro- manufacturing, due to the high cost of the equipment
and the long process cycle times required . Nonetheless in recent years it
has been demonstrated that FIB can be a viable manufacturing technology
if employed in the fabrication of high precision replication tools and it has
the potential to replace existing electron and photon lithography
techniques. One of the current problems is that the existing FIB
procedures developed for material science are often not optimised for
quality and efficiency or not applicable in manufacturing.
A new machining methodology has been proposed that can be used
as a guide to optimise FIB processes for improved efficiency and
production quality. The methodology systematically looks into the material
selection, the choice of gas precursor and the optimisation of the scanning
parameters. To accomplish this several new models and methods are
developed.
A raster scanning model is proposed that links the probe current,
the dwell time, the number of loops and the step with the key process
parameters of refresh time, exposure time, dose, and dose distribution.
Furthermore, a new term apparent beam size and a method for its
measurement are suggested as an alternative to the commonly used
"knife edge diameter". The apparent beam size is found to be material
and precursor dependent and together with the overlap is accounted for
as a key factor in the dose uniformity criterion formulated in the project.
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