2020
DOI: 10.1155/2020/4681796
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Analysis on the Impact Factors for the Pulling Force of the McKibben Pneumatic Artificial Muscle by a FEM Model

Abstract: Modelling the behaviour of Pneumatic Artificial Muscle (PAM) has proven difficult due to its highly complicated structure, nonlinear nature of rubbery material, and air compressibility. To overcome these limitations, a FEM (Finite Element Method) model using Abaqus and CATIA is derived for the quantitative analysis on the impact of different factors on the pulling force of PAM. In the Abaqus a two parameter Mooney–Rivlin model is utilized to consider the hyper-elastic nature of flexible material. Then both Aba… Show more

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Cited by 12 publications
(4 citation statements)
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“…The optimum values from the GA are then used as the initial points in the SQP algorithm, which converges to the true global optimum points after five more iterations. Further examination of the optimal design parameters reveals that the radius of the bladder and the braid angle are converged to their upper which is justifiable based on the existing relationship between each dimensional parameter of an MPAM and its force output [29,30,54,55]. Moreover, the nonlinear constraint on the volume ratio is active on its lower bound.…”
Section: Optimization Resultsmentioning
confidence: 99%
“…The optimum values from the GA are then used as the initial points in the SQP algorithm, which converges to the true global optimum points after five more iterations. Further examination of the optimal design parameters reveals that the radius of the bladder and the braid angle are converged to their upper which is justifiable based on the existing relationship between each dimensional parameter of an MPAM and its force output [29,30,54,55]. Moreover, the nonlinear constraint on the volume ratio is active on its lower bound.…”
Section: Optimization Resultsmentioning
confidence: 99%
“…PAMs suffer from large, nonelastic membrane deformations caused by their rubber-like material, which reduces actuator efficiency and introduces a nonlinear pressure-force relationship. 17 Soft fluidic/pneumatic robots are versatile, but only 25-49% mechanically efficient. 14,18 In mobile and dynamic applications, a low actuator efficiency is prohibitive: energy consumption increases, and output force and speed decrease.…”
Section: Introductionmentioning
confidence: 99%
“…Pneumatic artificial muscles (PAMs) are well-working, lightweight examples for remote actuation with high force and power output [38]. However, PAMs are actuated against the strain of their rubber-like bladder actuator, which decreases efficiency and power output, and increases control complexity [39].…”
Section: Introductionmentioning
confidence: 99%