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RISS 인기검색어
- 검색키워드
- 저자 : A. K. Hoshiar (검색결과 2 건)
- 무료
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M. H. Korayem,S. Nosoudi,S. Khazaei Far,A. K. Hoshiar 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.2
Nanomanipulation plays a significant role in nanotechnology research. The process of Atomic force microscopy (AFM) based manipulation is complex and time-consuming, which can be improved using a path-planning algorithm to reduce its manipulation time and time complexity. Due to real-time monitoring limitation in AFM based manipulations, Virtual reality (VR) environments have been developed. One such developed VR environment, however, is limited to point to point manipulation and lacks any path information. Therefore, we propose using a hybrid Improved particle swarm optimization (IPSO), a cellular automata-based algorithm for path planning during manipulation of micro/nanoparticles. In this technique, the critical time-force diagram, representing the AFM based manipulation dynamic is considered as a constraint, and is subsequently used to find the best path. The main path is divided into several segments and is optimized. Used as an algorithm for manipulation, this technique provides a more precise path in the AFM-based manipulation. Finally, the ability of this technique was compared to the other path planner algorithms based on its efficiency in reducing time-complexity parameters.
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Sensitivity Analysis in 3D Manipulation of Biological Nanoparticles
Korayem, M. H.,Hoshiar, A. K.,Kim, M. O.,Yoon, J. American Scientific Publishers 2017 Journal of Nanoscience and Nanotechnology Vol.17 No.8
<P>Computer simulations to predict the motion of nanoparticles had been developed for Atomic Force Microscopy (AFM) based robots. The proposed model includes a system of coupled nonlinear equations which determine the system dynamics. As biological nanoparticles are fragile by nature, it is important to apply the exact amount of pressure during manipulation process. Therefore, the sensitivity analysis simulation has been performed to study the effects of inflectional parameters. Using derivative sensitivity analysis, the effects of geometrical (particle and cantilever shapes), process (user defined) and environmental parameters have been investigated and the most influential parameters have been introduced. The simulations provide a real-time platform and make the biological nanoparticles positioning more practical.</P>
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