Computational Study of Excitation Controlling Parameters Effect on Uniform Beam Deformation under Vibration

Lap-Arparat, P.; Tuchinda, Karuna

doi:10.5829/ije.2023.36.01a.08

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…Characteristic length of crack (  ) ;  = a/R = 0.05, 0.1, 0.25, 0.5, 0.75, 1 For the current study, the excitation directions and support conditions were varied to provide the different modes for the excited shaft. The modes of vibration depended on the direction of loading (58). The computational models consisted of two support conditions: cantilever support and fixed-end support.…”

Section: Crack Characteristics and Loading Conditionsmentioning

confidence: 99%

Development of Temperature-strain Prediction Based on Deformation-induced Heating Mechanism in SCM440 Surface Cracked Shaft under Ultrasonic Excitation

Lap-Arparat,

Tuchinda

2024

IJE

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The mechanisms behind temperature and material deformation in vibrothermography remain questionable, presenting a gap in understanding. This study investigates the deformation-induced mechanism, focusing solely on the heat generation associated with strain development. Both experimental and simulation approaches are incorporated. The experimental segment explores the temperature-strain relationship of SCM440 material, commonly used for rotating shafts. This behavior is examined through the connection between temperature change and material deformation during a uniaxial tensile test. Results indicate that temperature change and distribution can be predicted based on plastic strain development. Finite Element Method (FEM) simulation is utilized to model the excitation of a shaft with and without an elliptic surface crack. Various cracked shaft configurations are investigated, revealing distinct strain generation and distribution patterns. High strain alteration is notably observed around the crack tips, enabling the detection of shaft discontinuity. Consequently, a temperature prediction technique is developed to estimate temperature based on strain alteration during deformation. Adequate excitation power and the use of a high-sensitivity IR camera are recommended for the effective application of the temperature prediction technique. Additionally, this study provides insights into understanding the utility and limitations of vibrothermography for inspecting engineering component damage based on experimental temperature-strain relationships and computational predictions of strain distribution in cracked shafts under excitation. These findings offer guidance for engineering applications and future research endeavors.

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Section: Crack Characteristics and Loading Conditionsmentioning

confidence: 99%

Development of Temperature-strain Prediction Based on Deformation-induced Heating Mechanism in SCM440 Surface Cracked Shaft under Ultrasonic Excitation

Lap-Arparat,

Tuchinda

2024

IJE

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“…In regards to the applications of solving PDEs, the following articles shed light on diverse areas of research, including the dynamics of modified Peyrard-Bishop DNA models in bio-fluids, the analysis of protein oscillations through Langevin and Fokker-Planck equations, and the optimization of heat exchanger design for enhanced heat transfer rates and temperature distribution. Lap-Arparat and Tuchinda (35) explored the behavior of the modified Peyrard-Bishop DNA model within a thermostat as a bio-fluid. They investigate the soliton-like solutions in this system and discuss their implications for understanding the dynamics of DNA molecules.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Hybrid Analytical and Laplace Transform Approaches for Solving Partial Differential Equations in Python

Jalili,

Mahboob,

Shateri

et al. 2024

IJE

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This research presents a rigorous and innovative approach, the Homotopy Perturbation Method-Laplace Transform Method (HPM-LTM), implemented in Python, for the efficient solution of linear and nonlinear partial differential equations (PDEs). By combining the Homotopy Perturbation technique (HPM) with the Laplace Transform Method (LTM), our method successfully addresses the significant challenges posed by equations with nonlinear components. Through the utilization of He's polynomials, the HPM-LTM approach effectively handles nonlinear terms, resulting in accurate and reliable solutions. To demonstrate the efficacy of our method, we extensively apply it to five representative PDE scenarios, including heat and wave equations. Our comprehensive results substantiate the remarkable accuracy and reliability of the HPM-LTM approach, highlighting its superiority in comparison to conventional approaches that require restrictive assumptions or discretization, which can introduce round-off errors. Furthermore, our method overcomes the limitations imposed by numerical errors inherent in traditional HPM techniques. The robustness, effectiveness, and adaptability of our proposed approach are further validated by its successful application to a wide range of PDE problems across various fields. This research presents a significant contribution to the development of a powerful computational tool for resolving diverse PDE problems, with particular relevance to the engineering discipline.

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“…The vibrating U-tube design is based on the principal that a measured change in resonant frequency can be used to determine an unknown mass applied to the vibrating tube. The resonant frequency will have the greatest 2 of 21 change when the mass is at the antinode point, meaning that the effect of the mass will have a different effect on the frequency depending upon its position in the glass tube [3,4].…”

Section: Introductionmentioning

confidence: 99%

“…A range of glass tubes have been chosen for analysis in this research from 6 mm to 10 mm in external diameter. The tube is manufactured from a straight glass tube bent into a U-shape and is made from borosilicate glass with a density of 2.23 g/cm 3 and Young's modulus of 63 GPa. The glass tube is a component that forms part of a wider system, which, in its most basic form, includes supports for the glass tube, counter mass, exciter, frequency sensor, temperature control, and process control.…”

Section: Introductionmentioning

confidence: 99%

Design, Modelling, and Experimental Validation of a Glass U-Tube Mass Sensing Cantilever for Particulate Direct-on-Line Emissions Measurement

Nicklin

Darabkhani

2023

Atmosphere

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The requirement to monitor and control industrial processes has increased over recent years, therefore innovative techniques are required to meet the demand for alternative methods of particulate measurement. Resonant mass sensors are now strong candidates for accurate mass measurement and are frequently used in many diverse fields of science and engineering. This paper presents the design, modelling, and optimal geometry selection for sensitivity improvement of a U-shaped glass tube as a resonant mass sensing cantilever with a view to becoming a component of particulate measurement equipment. Finite Element Analysis (FEA) was used to develop the system which was validated experimentally using a physical model. This paper focuses on both the proof of concept and the geometry selection of the sensor using analysis of the system sensitivity for best selection. Modal and harmonic analysis were undertaken across a range of commercially available glass tube sizes from 6 mm to 10 mm diameter, to determine the optimal geometry selection, validated with practical experimental data. Results show a consistent difference of 3–5% between the simulation and experimental results, showing strong correlation. This research provides a methodology on the development of using a U-shaped glass tube for accurate mass measurement with a view to exploring the design as a component of particulate emissions equipment. The experimental and simulation results confirm that the highest sensitivity is achieved when the geometry dimensions, and therefore the vacant mass of the tube, is reduced. The 6 mm diameter tube with the smallest bend radius was the most suitable design to meet the design criteria. The calibration curve was plotted to allow an unknown mass to be calculated, which gave an R2 value of 0.9984. All experimental work was repeated three times with results giving an average of 0.44% between the minimum and maximum showing strong linearity and suggesting the potential for implementation of the methodology in its intended application. The design provides possible solutions to some of the issues currently seen with particulate measurement from stationary sources.

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Computational Study of Excitation Controlling Parameters Effect on Uniform Beam Deformation under Vibration

Cited by 3 publications

References 19 publications

Development of Temperature-strain Prediction Based on Deformation-induced Heating Mechanism in SCM440 Surface Cracked Shaft under Ultrasonic Excitation

Development of Temperature-strain Prediction Based on Deformation-induced Heating Mechanism in SCM440 Surface Cracked Shaft under Ultrasonic Excitation

A Comparative Study of Hybrid Analytical and Laplace Transform Approaches for Solving Partial Differential Equations in Python

Design, Modelling, and Experimental Validation of a Glass U-Tube Mass Sensing Cantilever for Particulate Direct-on-Line Emissions Measurement

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