Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Study on the Strategy Model of Maintaining Temperature in Container

Authors
Xi Ze
Corresponding Author
Xi Ze
Available Online June 2016.
DOI
https://doi.org/10.2991/mecs-17.2017.79How to use a DOI?
Keywords
Genetic Algorithm, inverse proportional curves.
Abstract
Life and work often need to maintain the working fluid temperature constant within a container, such as bath in the bathtub. This paper develops a model of water temperature variation to determine the optimal strategy to achieve the goal about temperature maintaining. This paper devises three schemes for adding water. This article first sets a fixed value of injected water, then, study impacts of flow of water and time of adding water on water consumption. Next, changes the temperature of injected water to calculate the minimum water consumption of each scheme by utilizing Genetic Algorithm. Fit the numerical solutions into three inverse proportional curves. By comparison, obtain the optimal scheme as strategy for container.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
https://doi.org/10.2991/mecs-17.2017.79How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xi Ze
PY  - 2016/06
DA  - 2016/06
TI  - Study on the Strategy Model of Maintaining Temperature in Container
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.79
DO  - https://doi.org/10.2991/mecs-17.2017.79
ID  - Ze2016/06
ER  -