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Modelling and optimization of a pneumatic microfeeder system

Modelling and optimization of a pneumatic microfeeder system

Xue, Xiangdong, Bailey, Christopher ORCID: 0000-0002-9438-3879, Turitto, Michele and Ratchev, Svetan (2009) Modelling and optimization of a pneumatic microfeeder system. International Journal for Simulation and Multidisciplinary Design Optimization, 3 (1). pp. 307-315. ISSN 1779-627X (Print), 1779-6288 (Online) (doi:https://doi.org/10.1051/ijsmdo/2009003)

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Abstract

This paper presents modelling and design optimization of a microfeeder which, as part of a microassembly system, is used for contactless object delivery. The microfeeder consists of an array of microactuators which are controlled
by electrostatic actuation and used for maneuvering outcoming air jet for object hovering and delibery. The airflow behaviour in the microactuator is analysed by means of fluid mechanics and Computational Fluid Dynamics (CFD) simulation from three aspects, theoretical analysis, initial design assessment, and design modifications. The focus is put on the basic types of the microfeeder structure and the effects of structural details to the systematic performance. The structural pattern of the microactuator for forming airflow nozzle is identified and two design plans are proposed as basic structure patterns of pneumatic microactuators. The optimized design numerically shows the ability of delivering objects. This paper analyses the flow distribution pattern in microactuators and points out a way for effective design of pneumatic microfeeder systems. The optimization strategy provided by the present paper has close relevance to the design and manufacture of pneumatic
microfeeder systems.

Item Type: Article
Uncontrolled Keywords: pneumatic microactuator, microfeeder, distributed manipulation, MEMS device, actuator design
Subjects: Q Science > QA Mathematics > QA76 Computer software
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Related URLs:
Last Modified: 13 Mar 2019 11:32
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/1509

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