Finding the optimal contact function and path in nanomanipulation process-based on AFM nanorobot

In the area of the body of literature based on AFM nanorobot, various contact theories have been presented. But, choosing the best contact theory entails taking in different situations. Also, during the nanomanipulation of particles, finding the optimal path to move takes on importance. Therefore, i...

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Bibliographic Details
Main Author: Khaksar, Hesam
Format: Conference Proceeding
Language:English
Subjects:
AFM nanorobot
Force
Genetic algorithms
Hybrid genetic algorithm
Manipulation
Mathematical model
Nanoparticles
Optimization
Path planning
Rough surfaces
Surface roughness
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Summary:In the area of the body of literature based on AFM nanorobot, various contact theories have been presented. But, choosing the best contact theory entails taking in different situations. Also, during the nanomanipulation of particles, finding the optimal path to move takes on importance. Therefore, in this research, choosing the optimal contact equation to be applied in manipulation and also finding the optimal path of movement using hybrid genetic algorithm method have been investigated. The findings of this study reflect that Jamari theory with an area of 21.689 nm 2 creates the highest level of contact compared to the two JKR and Hertz models. Also, in the sphere of finding the optimal path on a real path, it was found that the optimal length of the created path is 13.29 µm on a plate full of silver.
ISSN:2572-6889
DOI:10.1109/ICRoM48714.2019.9071812