Effect of design parameters on the static mechanical behaviour of metal bellows using design of experiment and finite element analysis

Kumar, J.; Kumar, Sourav; Jeyathilak, R. K. Sarathi; Венкатеш, М.; Christopher, A. Simon; Ganesh, K.C.

doi:10.1007/s12008-016-0306-7

Cited by 17 publications

(4 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, to optimize the design more effectively while reducing time and cost, we applied the design method using a meta-model. The meta-model technique has been developed in various engineering fields as a method to replace the actual analytical model, which requires much time and cost, by approximating the relationship between the response of the analytical model and the variable [14,15]. Since the sensor in this study includes many geometrical design variables and nonlinear characteristics, the Kriging model [16], which is a global approximation model, was adopted as a meta-model.…”

Section: Resultsmentioning

confidence: 99%

Study of Sensitive Parameters on the Sensor Performance of a Compression-Type Piezoelectric Accelerometer Based on the Meta-Model

Lee

Hwang²,

Park

et al. 2019

Energies

View full text Add to dashboard Cite

Through a numerical analytical approach based on piezoelectric analysis and meta-modeling, this study investigated the effect of the component design of an accelerometer sensor on sensitivity and resonance frequency. The results of the study confirmed that the resonance frequency obtained from the piezoelectric analysis was almost the same as the experimental value of the resonance frequency obtained from the fabricated sensing module and proved the validity of the piezoelectric analysis using a finite element method. Moreover, the results of examining the influence of the component design on the resonance frequency and electrical potential suggested that the diameter and height of the head (seismic mass) had the greatest influence. As the diameter and height of the head increased, the sensitivity increased, but the resonance frequency decreased, which indicates that it is necessary to select an appropriate mass to optimize the sensor performance. In addition, the increase in tail height and epoxy thickness had a positive effect on both the resonance frequency and electric potential, and the base diameter had a negative effect on both of them.

show abstract

Section: Resultsmentioning

confidence: 99%

Study of Sensitive Parameters on the Sensor Performance of a Compression-Type Piezoelectric Accelerometer Based on the Meta-Model

Lee

Hwang²,

Park

et al. 2019

Energies

View full text Add to dashboard Cite

show abstract

“…Using the DOE test points, we carried out metamodeling, which is known as more efficient than the actual analytical model [22,23], to approximate the relationship between the design variables (input) and the performances (output). Since the sensor in this work includes many geometrical design variables and nonlinear characteristics, the kriging model [24], which is a global approximation model, was adopted as a metamodel.…”

Section: Methodsmentioning

confidence: 99%

Design Optimization of Bulk Piezoelectric Acceleration Sensor for Enhanced Performance

Lee

Han

Park

et al. 2019

Sensors

View full text Add to dashboard Cite

While seeking to achieve high performances of a bulk piezoelectric acceleration sensor, we investigated the behavior of the design variables of the sensor components and optimized the sensor design using a numerical simulation based on piezoelectric analysis and metamodeling. The optimized results demonstrated that there was an exponential dependency in the trade-off relation between two performance indicators, the electric voltage and the resonant frequency, as induced by the design characteristics of the sensor. Among the design variables, a decrease in the base height and epoxy thickness and an increase in the piezo element’s inner diameter had a positive effect on two performances, while the head dimensions (diameter and height) exhibited the opposite effect on them. The optimal sensor designs are proposed within the valid range of resonant frequency (25–47.5 kHz). Our redesign of a commercial reference sensor improved the resonant frequency by 13.2% and the electric voltage by 46.1%.

show abstract

“…Ma et al [10] used the FE method to analyze the performance of bellows and obtained the stress, frequency and vibration type under 0~1.2 MPa. Prasanna et al [11] studied the effects of wall thickness, corrugation and convolution radius on the static mechanical characteristics of circular-type bellows. Yuan et al [12] put forward a theoretical analysis of reinforced S-shaped bellows and discussed the mechanical behavior of bellows under different loads.…”

Section: Introductionmentioning

confidence: 99%

Correction Method for the Bending Characteristics of Aero Ball Joints under High Temperature and High Pressure

et al. 2022

View full text Add to dashboard Cite

The aero ball joint is pivotal in aircraft duct systems due to its favorable properties, including displacement compensation and flexibility. In the stress assessment of air ducts, ball joints are usually simplified by using “Joints” connections to reduce the convergence problems caused by non-linearity, which requires a high degree of accuracy in the characteristic parameters of the ball joint. Accordingly, this paper builds a high temperature and pressure fatigue test platform to investigate the bending characteristics of the ball joint at different temperatures and pressures and points out the limitations of the current method. Then, a method combining finite element analysis (FEA) and the BP neural network is proposed to obtain the characteristic parameters of the ball joint. The results showed that the bending process of the ball joint tended to have two typically different stiffness properties, which were high rigidity and low rigidity. The bending characteristics were strongly influenced by pressure, but less influenced by temperature. The existing test platform increased the force reaction at the contact areas of the ball joint, resulting in errors in the measurement of characteristic parameters. The BP neural network prediction method could effectively alter the ball joint properties and reduce errors.

show abstract

Effect of design parameters on the static mechanical behaviour of metal bellows using design of experiment and finite element analysis

Cited by 17 publications

References 15 publications

Study of Sensitive Parameters on the Sensor Performance of a Compression-Type Piezoelectric Accelerometer Based on the Meta-Model

Study of Sensitive Parameters on the Sensor Performance of a Compression-Type Piezoelectric Accelerometer Based on the Meta-Model

Design Optimization of Bulk Piezoelectric Acceleration Sensor for Enhanced Performance

Correction Method for the Bending Characteristics of Aero Ball Joints under High Temperature and High Pressure

Contact Info

Product

Resources

About