Multi-level optimization of gear trains with spur gears

Taleb, Abdelmajid Ait; Sallaou, Mohammed; Zaghar, Hamid

doi:10.1109/icoa.2019.8727684

Cited by 2 publications

(3 citation statements)

References 6 publications

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“…KaoutarDaoudi [1] design minimum weight of optimal combination of spur gears by using GA. Takao Yokota [2] described GA in the optimization of gear weight. Abdelmajid [3] optimize gear trains with spur gears based on two level optimizations to reduce the weight. Tianpei Chen [4] optimizes volume of two-stage PGT by using differential evolution algorithm based on mathematical.…”

Section: Introductionmentioning

confidence: 99%

Optimize Volume for Planetary Gear Train by using Algorithm Based Artificial Immune System

Yaw

Chong²

2020

IJATCSE

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Planetary gear train (PGT) had widely used for power transmission in construction equipment and machinery. The main purpose of this paper is to present methods for minimize the volume of PGT as well as the minimum weight for space saving. This paper presents a comparison of develop algorithm based Artificial Immune System (AIS) to find the optimum combination of parameters design for minimize volume of two-stage PGT system. The developed algorithm is hybrid with Genetic Algorithm (GA) based AIS which named as Transform of Artificial Immune System (TRANS-AIS) and Three Parents Cross Transform of Artificial Immune System (X3PAIS). Developed algorithm were tested in three benchmark mathematic test function before apply in the PGT design. The optimum volume from this research are compared with other researchers and it is experimental that the presentation of TRANS-AIS and X3PAIS are as good as (if not superior) to other researchers' algorithm.

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Section: Introductionmentioning

confidence: 99%

Optimize Volume for Planetary Gear Train by using Algorithm Based Artificial Immune System

Yaw

Chong²

2020

IJATCSE

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“…Authors in [28] analyze the influence effects of center distance deviation on polymer gearbox life. Papers [29,30], using genetic algorithms, designed the minimum mass of the optimal combination of spur gears. By applying multi-objective optimization methods [31], two parameters, volume and center distance, are optimized and the Pareto frontier is obtained.…”

Section: Mass Reduction Impact On Improving Energy Efficiencymentioning

confidence: 99%

“…Solutions obtained by expressions ( 31) and ( 32) are shown in Table 5. Allowed stress on ring gear tooth root and bending stress on ring gear tooth root are determined according to expressions ( 29) and (30). Solutions for the ring gear, obtained using these expressions, are shown in Table 5.…”

Section: Stress Calculation Of Hypoid Bevel Gears In the Tooth Root A...mentioning

confidence: 99%

Influence of Open Differential Design on the Mass Reduction Function

Karakašić,

Konjatić,

Glavaš

et al. 2023

Applied Sciences

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The transmission of power and motion in road vehicles with internal combustion engines is achieved by different design variants of differential transmissions. The open differential transmission (ODT) is installed to a greater extent in passenger cars with rear-wheel drive due to its simpler design. Due to its robustness, it is possible to reduce its mass. Reducing the mass of the ODT, as well as reducing the mass of the other design elements of the vehicle, contributes to reducing the overall mass of the vehicle and improves the energy efficiency of the vehicle. The paper develops and proposes an algorithm that combines the design of the ODT according to ISO 23509:2006, the numerical calculation of the design elements (ring gear and drive shaft with pinion) using the finite element method (FEM) and the numerical global–local model, the topological optimization method (TOM) and the results of the FEM analysis in determining the design parameters. In addition, the proposed algorithm uses the application of the response surface method (RSM) in the construction of a mathematical model. With the proposed mathematical model, the mathematical objective function of the ODT overall mass reduction describes the influence of the previously selected design parameters on the overall mass reduction of the ODT. The mathematical model is also used to analyze the partial influence of the design parameters on the objective functions of the partial mass reduction of the ring gear and pinion drive shaft. Using the R2 and root mean square error (RMSE), an accuracy check of the proposed mathematical model was performed. According to the proposed algorithm and mathematical model, the two mentioned design elements of the ODT were optimized. After optimization, the overall mass of the ODM was reduced by 16.5%.

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Multi-level optimization of gear trains with spur gears

Cited by 2 publications

References 6 publications

Optimize Volume for Planetary Gear Train by using Algorithm Based Artificial Immune System

Optimize Volume for Planetary Gear Train by using Algorithm Based Artificial Immune System

Influence of Open Differential Design on the Mass Reduction Function

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