The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms

The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms

This paper deals with the new method to design the optimum design for hospital bed, which can separate the left and or right leg for patient's leg splint. GAs as an optimization method was selected to search the minimum mass of bed structure whilst fulfilling some structure constraints such as...

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Main Authors: Atthaphon Ariyarit, Rung Kittipichai
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2018
Subjects:
Engineering
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/14172
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Institution: Mahidol University
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spelling th-mahidol.141722018-06-11T11:48:54Z The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms Atthaphon Ariyarit Rung Kittipichai Mahidol University Engineering This paper deals with the new method to design the optimum design for hospital bed, which can separate the left and or right leg for patient's leg splint. GAs as an optimization method was selected to search the minimum mass of bed structure whilst fulfilling some structure constraints such as stress, displacement and buckling. The GAs and FE code were developed to analyze the structure in MATLAB. This paper showed the success in searching the minimum mass whilst the stress and displacement were accepted. The optimum design for the hospital bed was 49.25 kg. © (2012) Trans Tech Publications, Switzerland. 2018-06-11T04:48:54Z 2018-06-11T04:48:54Z 2012-01-01 Conference Paper Applied Mechanics and Materials. Vol.110-116, (2012), 4276-4283 10.4028/www.scientific.net/AMM.110-116.4276 16627482 16609336 2-s2.0-81255184727 https://repository.li.mahidol.ac.th/handle/123456789/14172 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=81255184727&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Engineering
spellingShingle Engineering
Atthaphon Ariyarit
Rung Kittipichai
The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
description This paper deals with the new method to design the optimum design for hospital bed, which can separate the left and or right leg for patient's leg splint. GAs as an optimization method was selected to search the minimum mass of bed structure whilst fulfilling some structure constraints such as stress, displacement and buckling. The GAs and FE code were developed to analyze the structure in MATLAB. This paper showed the success in searching the minimum mass whilst the stress and displacement were accepted. The optimum design for the hospital bed was 49.25 kg. © (2012) Trans Tech Publications, Switzerland.
author2 Mahidol University
author_facet Mahidol University
Atthaphon Ariyarit
Rung Kittipichai
format Conference or Workshop Item
author Atthaphon Ariyarit
Rung Kittipichai
author_sort Atthaphon Ariyarit
title The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
title_short The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
title_full The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
title_fullStr The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
title_full_unstemmed The optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
title_sort optimization design of hospital bed structure for independently separating left and or right leg using genetic algorithms
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/14172
_version_ 1763495834169638912

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