Optimal weight design problem of elastic structure by GA

2007 ◽  
Vol 53 (2) ◽  
pp. 299-305 ◽  
Author(s):  
Takao Yokota ◽  
Shozo Wada ◽  
Takeaki Taguchi ◽  
Mitsuo Gen
Keyword(s):  
Design Problem ◽  
Elastic Structure ◽  
Optimal Weight ◽  
Weight Design

scholarly journals Optimal weight design problem of spur gears

2021 ◽  
Vol 4 (1) ◽  
pp. first
Author(s):  
Minh Nguyen ◽  
Nguyen Anh My ◽  
Le Quang Phu Vinh ◽  
Vo Thanh Binh
Keyword(s):  
Design Problem ◽  
Bending Strength ◽  
Grey Wolf Optimizer ◽  
Spur Gears ◽  
Penalty Term ◽  
Optimal Weight ◽  
Shaft Diameter ◽  
Face Width ◽  
Design Variables ◽  
Weight Design

Gear is one of the most common and important components in machinery. Evaluation on durability of gears plays crucial role in the assessment of the whole system reliability and service life. For other parts like shafts, the gears also act as loads. Therefore, dimensions and weight of the gears should be reduced as much as possible, contributing the size and weight reduction of the whole systems, which is essential to be cost-effectiveness. The current research focuses on optimal weight design problem of spur gears, such that the weight is minimized under the constraints taken from working conditions. The weight is a function of six variables, i.e. face width, shaft diameter of pinion, shaft diameter of gear, number of teeth on pinion, module and hardness. Constraints are derived based on AGMA standard and engineering handbooks, including the bending strength, the surface fatigue strength, the interference condition, the condition for uniform load distribution, the torsional strength of shaft on pinion and gear, and the center distance. The set of optimum design variables is determined by the heuristic algorithm Grey Wolf Optimizer (GWO). The accuracy and efficiency of the GWO in the optimal weight design problem of spur gears are assessed based on comparison with other popular methods, such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Simulated Annealing (SA). It is noted that in previous works, some of the constraints are still violated. Therefore, a penalty term is taken into the objective function, such that any set of design variables that violates constraints will be considered as ``unfit'' by the algorithm. It is demonstrated that using the proposed approach by current work, the optimal weight and the corresponding set of design variable are very close to reference data. Yet the advantage of the proposed approach is exhibited in the fact that all of the constraints are satisfied.

A solution method for optimal weight design problem of herical spring using genetic algorithms

1997 ◽  
Vol 33 (1-2) ◽  
pp. 71-76 ◽  
Author(s):  
Takao Yokota ◽  
Takeaki Taguchi ◽  
Mitsuo Gen
Keyword(s):  
Genetic Algorithms ◽  
Design Problem ◽  
Solution Method ◽  
Optimal Weight ◽  
Weight Design

A solution method for optimal weight design problem of 10 bar truss using genetic algorithms

1998 ◽  
Vol 35 (1-2) ◽  
pp. 367-372 ◽  
Author(s):  
Takao Yokota ◽  
Takeaki Taguchi ◽  
Mitsuo Gen
Keyword(s):  
Genetic Algorithms ◽  
Design Problem ◽  
Solution Method ◽  
Optimal Weight ◽  
Weight Design

GA-Based Method for Optimal Weight Design Problem of 23 Stories Frame Structure

2013 ◽  
pp. 345-351
Author(s):  
Takao Yokota ◽  
Kiyoshi Tsukagoshi ◽  
Shozo Wada ◽  
Takeaki Taguchi ◽  
C. Tarn
Keyword(s):  
Design Problem ◽  
Frame Structure ◽  
Optimal Weight ◽  
Weight Design

A grey wolf optimizer approach for optimal weight design problem of the spur gear

2018 ◽  
Vol 51 (6) ◽  
pp. 1013-1027 ◽  
Author(s):  
Murat Dörterler ◽  
İsmail Şahin ◽  
Harun Gökçe
Keyword(s):  
Design Problem ◽  
Spur Gear ◽  
Grey Wolf Optimizer ◽  
Grey Wolf ◽  
Optimal Weight ◽  
Weight Design

A solution method for optimal weight design problem of the gear using genetic algorithms

1998 ◽  
Vol 35 (3-4) ◽  
pp. 523-526 ◽  
Author(s):  
Takao Yokota ◽  
Takeaki Taguchi ◽  
Mitsuo Gen
Keyword(s):  
Genetic Algorithms ◽  
Design Problem ◽  
Solution Method ◽  
Optimal Weight ◽  
Weight Design

Optimal weight design of rotor systems with oil-film bearings subjected to frequency constraints

2001 ◽  
Vol 37 (10) ◽  
pp. 777-798 ◽  
Author(s):  
Yih-Hwang Lin ◽  
Sheng-Cheng Lin
Keyword(s):  
Frequency Constraints ◽  
Optimal Weight ◽  
Oil Film ◽  
Rotor Systems ◽  
Weight Design
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