OPTIMUM DESIGN OF HYDRODYNAMIC JOURNAL BEARINGS USING MULTI-OBJECTIVE GENETIC ALGORITHMS
Khaled Mohamed Gamal El-Din Mohamed Kotb El-Shafee;
Abstract
Summary:
This work presents the design and optimization of a hydrodynamic journal bearing. The
multi-objective Genetic Algorithms technique is used to find the optimum design. Two
objective functions are considered and four design parameters are chosen to be the design
variables. The results show the optimum design according to an applied load and a
rotating speed. The results of this thesis are compared with other researches results to
show the improvements of the used objective functions.
This work presents the design and optimization of a hydrodynamic journal bearing. The
multi-objective Genetic Algorithms technique is used to find the optimum design. Two
objective functions are considered and four design parameters are chosen to be the design
variables. The results show the optimum design according to an applied load and a
rotating speed. The results of this thesis are compared with other researches results to
show the improvements of the used objective functions.
Other data
| Title | OPTIMUM DESIGN OF HYDRODYNAMIC JOURNAL BEARINGS USING MULTI-OBJECTIVE GENETIC ALGORITHMS | Other Titles | التصميم الأمثل لكراسي المحاور الهيدروديناميكية بإستخدام الخواريزمات الجينية متعددة الأهداف | Authors | Khaled Mohamed Gamal El-Din Mohamed Kotb El-Shafee | Issue Date | 2018 |
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