2011
DOI: 10.1504/ijde.2011.048133
|View full text |Cite
|
Sign up to set email alerts
|

Design optimisation of bevel gear pair

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
5
0
1

Year Published

2017
2017
2020
2020

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 6 publications
(6 citation statements)
references
References 20 publications
0
5
0
1
Order By: Relevance
“…Jia et al [4] combined load-bearing contact analysis (LTCA) with intelligent optimization algorithm to establish an optimization model. By using Lingo and metaheuristic algorithm, Padmanabhan et al [5] optimized the bevel gear pair by setting the objective function. e effectiveness of the algorithm is verified by the gear design problem, and the comparison results are studied [5].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Jia et al [4] combined load-bearing contact analysis (LTCA) with intelligent optimization algorithm to establish an optimization model. By using Lingo and metaheuristic algorithm, Padmanabhan et al [5] optimized the bevel gear pair by setting the objective function. e effectiveness of the algorithm is verified by the gear design problem, and the comparison results are studied [5].…”
Section: Introductionmentioning
confidence: 99%
“…By using Lingo and metaheuristic algorithm, Padmanabhan et al [5] optimized the bevel gear pair by setting the objective function. e effectiveness of the algorithm is verified by the gear design problem, and the comparison results are studied [5]. Sanchez et al [6] studied the contact condition of tooth profile modification under load and explained the influence of tooth profile modification on the transmission error.…”
Section: Introductionmentioning
confidence: 99%
“…With the development of artificial intelligence in recent years, there have been certain intelligent optimization algorithms, such as genetic algorithms [3][4][5], ant colony algorithms [6,7], neural network algorithms [8][9][10], and particle swarm optimization (PSO) algorithms [11]. Padmanabhan et al [12] optimized the bevel gear pair by using a nonlinear programming optimizing software LINGO and metaheuristics. The efficiency of the proposed algorithms is validated through gear design problems and the comparative results are studied [12].…”
Section: Introductionmentioning
confidence: 99%
“…Padmanabhan et al [12] optimized the bevel gear pair by using a nonlinear programming optimizing software LINGO and metaheuristics. The efficiency of the proposed algorithms is validated through gear design problems and the comparative results are studied [12]. Dolen et al [13] used genetic algorithm to study the optimal design of four-stage gear train and proposed five different genetic coding schemes to solve the most critical constraints.…”
Section: Introductionmentioning
confidence: 99%
“…As an important transmission device, the bevel gear transmission system contains a variety of failure modes. Although research literatures on bevel gear pair addressing design optimization and reliability can be found [3,19,21], there is still a need for more in-depth research on the joint failure modelling of the bevel gear transmission system.…”
Section: Introductionmentioning
confidence: 99%