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RISS 인기검색어
- 검색키워드
- 저자 : Masoud Shariatpanahi (검색결과 2 건)
- 무료
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Design and Implementation of a Novel Vertical Precision Positioner
Ali Abdi,Masoud Shariatpanahi,Mohammad-Reza Ha’iri-Yazdi,Saeed Mazraeh 한국정밀공학회 2021 International Journal of Precision Engineering and Vol.22 No.11
Vertical precision positioning is distinguished from positioning in horizontal plane due to the presence of gravitational forces that work differently in “lifting” and “lowering” modes. Vertical positioners also need a “locking mechanism” to avoid the unintentional lowering of the platform. We present a vertical precision positioner that works according to the “stick–slip” phenomenon. Using an adjustable off set coupling, the linear motion of a piezoelectric actuator is converted to the rotational motion of a low friction lead screw which results in the vertical motion of the screw. A microcontroller can adjust the grip, and hence the friction, between the coupling and the lead screw to ensure the uniformity of motion in lifting and lowering modes. The dynamic model of the mechanism is extracted, and simulations are performed to discover how the peak voltage and frequency of the saw-tooth signal affect the stick–slip motion of the mechanism. Additionally, equations are verified by comparing simulation results and experiments. They can be used in the control system design in future works.
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Abolfazl Rezaei Aderiani,Masoud Shariatpanahi,Ali Parvizi 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.3
Structural optimization of a typical locomotive carbody subjected to various operational loads is investigated using a simultaneous topology and size optimization approach. The proposed approach builds on a string representation of the structure in which the presence or absence of a structural element between specific nodes, as well as its cross-section, are represented by integers. Strings representing various structure topologies are then evolved according to a modified Genetic algorithm with improved genetic operators. The efficiency of the proposed model is verified through applying it to optimize the carbody structure of ER24PC locomotive. Operational load cases and performance criteria are adopted from the European standard EN12663. It is shown that the results based on the present optimal design have higher safety factors compared to the original design without a significant increase in weight. Besides, the computational cost of the optimization process is shown to be considerably less than that of the classical binary Genetic algorithm.
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