2021
DOI: 10.1016/j.asoc.2021.108031
|View full text |Cite
|
Sign up to set email alerts
|

Topology and size optimization for a flexure hinge using an integration of SIMP, deep artificial neural network, and water cycle algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(3 citation statements)
references
References 66 publications
0
3
0
Order By: Relevance
“…Many researchers have applied algorithms to the structural optimization of flexure mechanisms. 38,39 For the triangular bi-axial flexure hinge, the general expression of the optimized mathematical model is as follows:…”
Section: Optimization Of the Triangular Bi-axial Flexure Hingementioning
confidence: 99%
“…Many researchers have applied algorithms to the structural optimization of flexure mechanisms. 38,39 For the triangular bi-axial flexure hinge, the general expression of the optimized mathematical model is as follows:…”
Section: Optimization Of the Triangular Bi-axial Flexure Hingementioning
confidence: 99%
“…The first natural frequency of the proposed positioner is defined as the following equation: (31) which has the unit of Hertz.…”
Section: Dynamic Establishment For 1-dof Stagementioning
confidence: 99%
“…Primarily, analytical approaches comprise of a pseudo-rigid-body model (PRBM), compliance matrix method, elastic beam theory, and Castigliano's second theorem [30]. Besides, intelligence-based computational methods were well-formulated such as fuzzy logic, artificial neural network, and adaptive neuro-fuzzy inference system (ANFIS) [31]. Especially, the PRBM is well blended with the Largange method to rapidly assess the primary superiority performances of the positioners, e.g., force-displacement curve and dynamic response.…”
Section: Introductionmentioning
confidence: 99%