ArticleMicromachines2021
Optimal Design for Compliant Mechanism Flexure Hinges: Bridge-Type.
Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed.
- Design and Analysis of XY Large Travel Micro Stage Based on Secondary Symmetric Lever Amplification.Micromachines · 2023Article
- Investigating Students' Perceptions towards Artificial Intelligence in Medical Education.Healthcare (Basel, Switzerland) · 2023Article
- Optimization and Evaluation for the Capacitive Deionization Process of Wastewater Reuse in Combined Cycle Power Plants.Membranes · 2023Article
- Study on the Fatigue Strength of Welding Line in Injection Molding Products under Different Tensile Conditions.Micromachines · 2022Article
- CFD Analysis and Optimum Design for a Centrifugal Pump Using an Effectively Artificial Intelligent Algorithm.Micromachines · 2022Article
- Optimal Design of a Leaf Flexure Compliant Mechanism Based on 2-DOF Tuned Mass Damping Stage Analysis.Micromachines · 2022Article
- Design and Performance Analysis of a Micro-Displacement Worktable Based on Flexure Hinges.Micromachines · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Compliant mechanisms' design aims to create a larger workspace and simple structural shapes because these mechanical systems usually have small dimensions, reduced friction, and less bending. From that request, we designed optimal bridge-type compliant mechanism flexure hinges with a high magnification ratio, low stress by using a flexure joint, and especially no friction and no bending. This joint was designed with optimal dimensions for the studied mechanism by using the method of grey relational analysis (GRA), which is based on the Taguchi method (TM), and finite element analysis (FEA). Grey relational grade (GRG) has been estimated by an artificial neural network (ANN). The optimal values were in good agreement with the predicted value of the Taguchi method and regression analysis. The finite element analysis, signal-to-noise analysis, surface plot, and analysis of variance demonstrated that the design dimensions significantly affected the equivalent stress and displacement. The optimal values of displacement were also verified by the experiment. The outcomes were in good agreement with a deviation lower than 6%. Specifically, the displacement amplification ratio was obtained as 65.36 times compared with initial design.
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Registered trials
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