Strength of U-Shaped Bellows : 5th Report, Fatigue Strength under Axial Loading

実, 浜田; 茂男, 竹園; 貞一, 有田

doi:10.1299/kikai1938.32.1640

Cited by 4 publications

(1 citation statement)

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“…It can be noticed that Langer's analytical equation overestimates the design life by 300% to 62% and tends to give unsafe result solutions. Hamada and Takezono [59] confirmed that the fatigue life obtained by Langer's equation was non-conservative for U-shaped bellows made of SUS 27 stainless steel (a Japanese Standard). Based on the test data of axial loaded expansion bellows, Marcal and Turner [60] revealed that the application of Langer's analytical equation resulted in unsafe fatigue life prediction results.…”

Section: Langer Modelmentioning

confidence: 83%

Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless Steel

Abarkan

Shamass

Achegaf

et al. 2022

Journal of Pressure Vessel Technology

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Mechanical components are frequently subjected to severe cyclic pressure and/or temperature loadings. Therefore, numerical and analytical low cycle fatigue methods become widely used in the field of engineering to estimate the design fatigue lives. The primary aim of this work is to evaluate the accuracy of the most commonly used numerical and analytical low cycle fatigue life methods for specimens made of 316 LN austenitic stainless steel and subjected to fully reversed uniaxial tension-compression loading, in the room temperature condition. It was found that both Maximum shear strain and Brown-Miller criterions result in a very conservative estimation for uniaxially loaded specimens, however, Maximum shear strain criteria provides better results compared to the Brown-Miller criteria. The total strain energy density approach was also used, and both the Masing and non-Masing analysis were adopted in this study. It is found that the Masing model provides conservative fatigue lives, and non-Masing model results in a more realistic fatigue life prediction for 316 LN stainless steel for both low and high strain amplitude. The fatigue design curves obtained from the commonly used analytical low cycle fatigue equations were reexamined for 316 LN SS. The obtained design curves from Langer model and its modified versions are non-conservative for this type of material. Consequently, the authors suggest new optimized parameters to fit the given test data. The obtained curve using the currently suggested parameters is in better agreement with the experimental data for 316 LN SS.

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Section: Langer Modelmentioning

confidence: 83%

Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless Steel

Abarkan

Shamass

Achegaf

et al. 2022

Journal of Pressure Vessel Technology

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The nonlinear ciiaraterististics of u-shaped bellows — Calculations by the method of perturbation

徐润章¹,

姜晓丽²,

Jie³

1983

Appl Math Mech

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The optimization of bellows convolutions in bellows pump for better stress distribution

Gao

Ruan

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Bellows pump has been widely used for chemical transportation with excellent elasticity and seal ability of the core component bellows. Nevertheless, for repeated alternating compression and expansion, bellows convolutions, that is, the maximum stress points, are at risk of fatigue rupture, which leaves a safety hazard for practical applications. Though a special bellows shape with non-constant wall thickness was proposed as an effective method to strengthen the convolutions, it also affects other characteristics of bellows, such as stiffness, single-stroke displacement, and size, which are equally important for the bellows pump. This article designs a fine-tuned convolution structure on the premise of avoiding its effect on volume properties of bellows. Limiting the value of variables by the stability of bellows stiffness, the structure parameters are optimized with the combination of the finite element method (FEM) and whale optimization algorithm. To ensure the accuracy of the FEM, the stress–strain curve of bellows material and the bellows axial stiffness is measured. Finally, digital image correlation is employed to obtain the strain at convolutions before and after the optimization, and the significant reduction of the strain verifies the effectiveness of the optimization. We believe that this method is valuable for optimizing stress distribution and guiding the design of longer-life pump bellows.

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Strength of U-Shaped Bellows : 5th Report, Fatigue Strength under Axial Loading

Cited by 4 publications

References 0 publications

Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless Steel

Numerical and Analytical Studies of Low Cycle Fatigue Behavior of 316 LN Austenitic Stainless Steel

The nonlinear ciiaraterististics of u-shaped bellows — Calculations by the method of perturbation

The optimization of bellows convolutions in bellows pump for better stress distribution

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