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University of Maryland Mechanical Engineering Department Structures ‘at the bottom’: Carbon nanotubes (CNT) few nm diameter 10-100  m length (avg human.

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Presentation on theme: "University of Maryland Mechanical Engineering Department Structures ‘at the bottom’: Carbon nanotubes (CNT) few nm diameter 10-100  m length (avg human."— Presentation transcript:

1 University of Maryland Mechanical Engineering Department Structures ‘at the bottom’: Carbon nanotubes (CNT) few nm diameter 10-100  m length (avg human hair is 70  m wide) already available commercially (5 manufacturers) Already being applied in commercial products

2 University of Maryland Mechanical Engineering Department How do we Arrange Stuff into this ‘Space at the Bottom’ ? (Nanoscale Fabrication: Molecular Manipulation) Machine-phase synthesis AFM, MFM, STM, nanotweezers Self-assembly (e.g., DNA moletronics) Atomic layer epitaxy AFM Tips AFM Tips CNT CNT Probe Si Substrate

3 University of Maryland Mechanical Engineering Department Carbon nanotube shaft with benzene ring gears [Jie Han et al] max rpm in vacuum w/o slipping: 50-100 GHz fabrication is done by STM (IBM has recently used STM to move organic molecules 1.5 nm dia, consisting of 173 atoms) molecular dynamics simulation shows chatter/chaos

4 University of Maryland Mechanical Engineering Department MEMS gear trains have been driven upto 250,000 RPM Comparison with Larger Scales: MEMS

5 University of Maryland Mechanical Engineering Department SWNT Twisting SWNT Axial Comp. SWNT Bending MWNT Bending Molecular Simulations of CNT Deformation

6 University of Maryland Mechanical Engineering Department Molecular models based on Interatomic Potential Functions: Morse Born-Oppenheimer Lennard-Jones Tersoff-Brenner Costly and Size-limited: requires simultaneous integration of 6N DEs; limited to ~10 5 atoms today Dynamic inaccuracies (wrong nonlinear behavior) Difficult to address nonlinearities Difficult to address realistic boundary conditions Continuum models miss some molecular conformations Molecular Models


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