Determining the Rigid-Body Inertia Properties of Cumbersome Systems: Comparison of Techniques in Time and Frequency Domain

Mucchi, Emiliano; Fiorati, Stefano; Gregorio, Raffaele Di; Dalpiaz, Giorgio

doi:10.1111/j.1747-1567.2009.00603.x

Cited by 9 publications

(4 citation statements)

References 14 publications

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“…The trifilar pendulum was applied for rotational inertia determination of bodies or mechanical parts [8,19,[21][22][23]. Du Bois, Lieven and Adhikari [21] performed an analysis of the uncertainty of a trifilar pendulum as a function of the misalignment of the center of mass of the test body to the center of the platform.…”

Section: Introductionmentioning

confidence: 99%

“…The accurate alignment of huge irregular bodies on trifilar support plates is arguably the most operational difficult experimental procedure, which motivates studies to describe an expression of suspension-centering correction [19]. Finally, oscillatory techniques based on multifilament pendulums (more than three cables) are presented as alternatives for the evaluation of the moment of inertia of large bodies [23,24].…”

Section: Introductionmentioning

confidence: 99%

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GUM-S1 to Evaluate Rotational Inertia Uncertainty Obtained by Acceleration–Deceleration Tests

Santana,

Reis,

Morais

et al. 2024

Iran J Sci Technol Trans Civ Eng

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This work has the goal of experimentally determining the rotational moment of inertia of a wind turbine rotor blade and quantifying the uncertainty of this inertia measurement. Rotational inertia is an important parameter for modelling wind turbine power capacity due to its great influence on powertrain performance. There is a directly proportional relationship between the inertia and rotational power machines. Among commonly used experimental methods, the accelerationdeceleration method was conducted for rotational moment of inertia measurement of a commercial HAWT (Horizontal-Axis Wind Turbines) iSTA Breeze® i-500 model. As recommended by GUM Supplement 1, the Monte Carlo method was used to estimate the measurement uncertainty related to wind turbine rotational inertia. Experimental accelerationdeceleration tests were performed using the motion capture software Tracker to collect angular position data by video capturing the rotational motion of a wind turbine attached to a falling mass, which is rolled to the rotor axis. After appropriate data processing, the experimental uncertainty measure was obtained by the Monte Carlo method. A statistical analysis was implemented to validate the measurement model via comparisons with other methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

GUM-S1 to Evaluate Rotational Inertia Uncertainty Obtained by Acceleration–Deceleration Tests

Santana,

Reis,

Morais

et al. 2024

Iran J Sci Technol Trans Civ Eng

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“…Rotational inertia, also known as the moment of inertia or angular mass, is one of the mass characteristic parameters (mass properties) of rigid bodies [1]. It determines the torque needed for a desired angular acceleration about a rotational axis.…”

Section: Introductionmentioning

confidence: 99%

A demodulation algorithm for processing rotational inertia signals using a torsion pendulum method based on differentiation and resonance frequency analysis

Zhang¹,

Wang²,

Lin³

et al. 2020

Meas. Sci. Technol.

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Sensor noise, such as low-frequency drift and white noise, often causes large measurement errors when an oscillation method is used to determine rotational inertia of a rigid body. A demodulation algorithm based on differentiation and resonance frequency analysis of torsional oscillation signals is proposed in this paper to eliminate the influence of sensor noise on inertia measurement. By using a torsion pendulum method as an example, a measurement approach involving a kinetics differential equation of damped torsional oscillation movement is developed and, on this basis, a rotational inertia measurement function in relation to the amplitude modulation parameter and oscillation frequency is derived. In the proposed algorithm, oscillation detection signals are first differentiated to extract local extremum points and calculate the amplitude modulation parameter. Next, with a certain frequency step, a series of reference signals are constructed and mixed with the original signals. The maximum product sum is calculated to determine the resonance frequency that is exactly equal to the oscillation frequency. Finally, the measurand can be determined by the measurement function. The simulation and experimental results show that this algorithm can effectively reduce the influence of sensor noise on measurement. The comparison of measurement results with other signal processing methods and other measurement systems is carried out, which verifies better effectiveness of the proposed method.

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“…In order to estimate the missing parameters, an experimental technique based on frequency response functions (FRFs) measurements was performed for the indirect measurement of the rigid body inertia properties; such a methodology is based on the well-known Inertia Restrain Method, a technique suitable for a wide range of applications when the mass distribution of components or assemblies is not known (e.g., Mucchi et al used it in medical [16] and mechanical [17] fields). This method requires that, in the FRFs, the mass line between the highest rigid body mode and the lowest flexible body mode is rather flat.…”

Section: Finite Element Analysis: Model Developmentmentioning

confidence: 99%

Numerical and Experimental Dynamic Analysis of IC Engine Test Beds Equipped with Highly Flexible Couplings

Cocconcelli

Troncossi

Mucchi

et al. 2017

Shock and Vibration

Self Cite

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Driveline components connected to internal combustion engines can be critically loaded by dynamic forces due to motion irregularity. In particular, flexible couplings used in engine test rig are usually subjected to high levels of torsional oscillations and time-varying torque. This could lead to premature failure of the test rig. In this work an effective methodology for the estimation of the dynamic behavior of highly flexible couplings in real operational conditions is presented in order to prevent unwanted halts. The methodology addresses a combination of numerical models and experimental measurements. In particular, two mathematical models of the engine test rig were developed: a torsional lumped-parameter model for the estimation of the torsional dynamic behavior in operative conditions and a finite element model for the estimation of the natural frequencies of the coupling. The experimental campaign addressed torsional vibration measurements in order to characterize the driveline dynamic behavior as well as validate the models. The measurements were achieved by a coder-based technique using optical sensors and zebra tapes. Eventually, the validated models were used to evaluate the effect of design modifications of the coupling elements in terms of natural frequencies (torsional and bending), torsional vibration amplitude, and power loss in the couplings.

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Determining the Rigid-Body Inertia Properties of Cumbersome Systems: Comparison of Techniques in Time and Frequency Domain

Cited by 9 publications

References 14 publications

GUM-S1 to Evaluate Rotational Inertia Uncertainty Obtained by Acceleration–Deceleration Tests

GUM-S1 to Evaluate Rotational Inertia Uncertainty Obtained by Acceleration–Deceleration Tests

A demodulation algorithm for processing rotational inertia signals using a torsion pendulum method based on differentiation and resonance frequency analysis

Numerical and Experimental Dynamic Analysis of IC Engine Test Beds Equipped with Highly Flexible Couplings

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