A novel multi-component strain-gauge external balance for wind tunnel tests: Simulation and experiment

Tavakolpour-Saleh, A.R.; Setoodeh, A.R.; Gholamzadeh, M.

doi:10.1016/j.sna.2016.05.035

Cited by 32 publications

(32 citation statements)

References 9 publications

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“…Although the paper only considers bending moments, the same can be 2 applied to other parasitic loads. In multi-axis force/torque sensors, this behavior is called cross-talk, and eliminating cross-talk is the task of utmost importance is designing forcemeasuring instruments for robotics [8][9][10].…”

Section: Problem Statementmentioning

confidence: 99%

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

Gavrilenkov

2020

ITM Web Conf.

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This paper presents a digital education tool for learning the specifics and behavior of a multi-objective genetic algorithm (MOGA) used to solve the problem of optimal placement of strain gauges on the elastic element of a force sensor. The paper formulates the problem statement and specifies how this problem can be solved using the MOGA. For the problem, the design variables are the locations of strain gauges and angles at which they are positioned. The goal functions are the output signal of the sensor and the measurement error from bending moments, which can be caused by the off-centric application of load. The solution algorithm is implemented within a framework that can be used to investigate and learn how parameters of MOGA influence its performance. The framework is used to run computational experiments for the given problem to find the optimal placement of strain gauges on the elastic element of a given force sensor. The performance of the MOGA in solving this problem is compared to that of the traditional approach.

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Section: Problem Statementmentioning

confidence: 99%

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

Gavrilenkov

2020

ITM Web Conf.

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“…This difference in times is recorded by the probes for further analysis. Displacements corresponding to blade vibrations could be calculated using (1).…”

Section: Conventional Blade Tip-timing Systemmentioning

confidence: 99%

“…Therefore, there exists a need for continuous monitoring of the blade state under various operating conditions. Development of online-monitoring methods for rotating blades has become an important area of research in recent years, and various techniques, such as the strain-gauge technology [1], optical backscatter reflectometer [2], laser Doppler [3], acoustic emission [4], coherent laser radar [5], and blade-tip timing [6]- [8] have been devised. Amongst these methods, the BTT technology is considered to be the most promising owing to its advantages of low cost and non-contact utility [9]- [11].…”

Section: Introductionmentioning

confidence: 99%

Blade Tip-timing Technology with Multiple Reference Phases for Online Monitoring of High-speed Blades under Variable-speed Operation

Zhang

Ding

et al. 2018

Measurement Science Review

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High-speed blades form core mechanical components in turbomachines. Research concerning online monitoring of operating states of such blades has drawn increased attention in recent years. To this end, various methods have been devised, of which, the blade tip-timing (BTT) technique is considered the most promising. However, the traditional BTT method is only suitable for constant-speed operations. But in practice, the rotational speed of turbomachine blades is constantly changing under the influence of external factors, which lead to unacceptable errors in measurement. To tackle this problem, a new BTT method based on multi-phases is proposed. A plurality of phases was arranged as evenly as possible on the rotating shaft to determine the rotation speed. Meanwhile, the corresponding virtual reference point was determined in accordance with the number of blades between consecutive phases. Based on these reference points, equations to measure displacement due to blade vibrations were deduced. Finally, mathematical modeling, numerical simulation and experimental tests were performed to verify the validity of the proposed method. Results demonstrate that the error in measurement induced when using the proposed method is less than 1.8 %, which is much lower compared to traditional methods utilized under variable-speed operation.

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“…The six-axis force sensors can measure the six-dimensional force information in space which are widely used in robots, 1–3 wind tunnel tests, 4,5 and other fields. 6–8 For a six-axis force sensor, elastic structure is one of the most important parts.…”

Section: Introductionmentioning

confidence: 99%

Stiffness modeling and force mapping analysis of hybrid-limb six-axis force sensor

Yao

Ruan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part C:

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To meet the needs of large load and high reliability measurement under complex working conditions and downsize the outline of six-axis force sensor as much as possible, the design concept of hybrid limb is proposed to the design of parallel six-axis force sensor. A kind of heavy-load-bearing flexible integrated six-axis force sensor with hybrid limbs is proposed. The proposed force sensor adopts a hybrid-limb configuration integrating eight measuring redundant limbs and four load-bearing limbs. It is capable of measuring 5500 N vertical force, 3000 N horizontal force, 160 N·m moment about the vertical axis, and 130 N·m moment about the horizontal axis. Based on the superposition principle under small deformation, the whole stiffness matrix of force sensor and the analytical mapping relation are constructed, respectively. The accuracy of the theoretical modeling is verified by the stress analysis of the designed sensor using finite element method software ANSYS. Finally, the prototype is calibrated, and the results show that it has good linearity.

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A novel multi-component strain-gauge external balance for wind tunnel tests: Simulation and experiment

Cited by 32 publications

References 9 publications

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

A Framework for Optimal Placement of Strain Gauges on Elastic Elements of Force Sensors Using Genetic Algorithms

Blade Tip-timing Technology with Multiple Reference Phases for Online Monitoring of High-speed Blades under Variable-speed Operation

Stiffness modeling and force mapping analysis of hybrid-limb six-axis force sensor

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