Fail-safe design and analysis for the guide vane of a hydro turbine

Budiman, Bentang Arief; Suharto, Djoko; Djodikusumo, Indra; Aziz, Muhammad; Juangsa, Firman Bagja

doi:10.1177/1687814016658178

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…In stalled condition, the machine experienced overload. For this, a fail-safe mechanism by sacrificing the flange bolts to protect the flanges is typical in coupling design technique (Budiman, et al, 2016). This is because the cost to replace the bolts is much cheaper than the flanges.…”

Section: Mechanism Of Plastic Shredding Machine and Its Failurementioning

confidence: 99%

Failure Investigation of Plastic Shredding Machine’s Flange Coupling Based on Mechanical Analysis

Nurprasetio

Budiman²,

Triawan

2017

IJOST

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This paper presented the investigation of failure mechanism of plastic shredding machine's flange coupling which is made of cast steel. The machine unexpectedly stalled a few minutes after High-Density Polyethylene (HDPE) plastic bottles were fed into the machine. It was discovered afterward that the flange broke with the large crack surface. Finite element analysis (FEA) was performed to find the position and value of the critical stresses in the flange during operating condition. Subsequently, hardness test was conducted on the flange body to determine the Brinell hardness which was then converted into the approximate ultimate tensile strength (σu). As a result, a maximum Von Mises stress of 287 MPa was confirmed from the FEA to be concentrated in the flange's keyway. Although this was found to be lower than the approximate σu obtained from hardness testing i.e. 449 MPa, the critical stress indicated an unstable condition which may induce a crack initiation any time when vibration or dynamic load occurs. Based on these analyses, it was concluded that the failure had been initiated by dynamic rather than static loading generated during machine stall condition. The dynamic load caused crack initiation at a stress concentration point of the keyway. The crack then propagated rapidly, breaking the flange body.

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Section: Mechanism Of Plastic Shredding Machine and Its Failurementioning

confidence: 99%

Failure Investigation of Plastic Shredding Machine’s Flange Coupling Based on Mechanical Analysis

Nurprasetio

Budiman²,

Triawan

2017

IJOST

Self Cite

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“…That is, perception of fault signal (observation of symptoms), diagnosis of causes of failure (diagnosis of causes), and selection of maintenance decision-making schemes (development of treatment protocols). In the fault diagnosis process of hydro-turbine generating units, maintenance personnel often need to analyze multiple problems that are hydraulic, mechanical, and electrical (Budiman et al, 2016; Feng and Chen, 2018; Yan et al, 2017). Reference to and adoption of experience and methodologies of other industries will make the analysis of problems easier (Song et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

Cheng

Zhu

et al. 2019

Transactions of the Institute of Measurement and Control

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In order to improve the intelligent level of fault diagnosis and condition maintenance of hydropower units, an Imitation medical diagnosis method (IMDM) is proposed in this study. IMDM uses Bayesian networks (BN) as the technical framework, including three components: machine learning BN model, expert empirical BN model, and maintenance decision model. Its characteristics are as follows: (i) the machine learning model uses a new node selection method to solve the problem that the traditional fault diagnosis model is difficult to connect with the state monitoring system. (ii) The expert experience BN model improves the traditional method: using the fault tree model to transform the BN structure, Noisy-Or model to simplify conditional probability table, and fuzzy comprehensive evaluation method to obtain the conditional probability. (iii) By introducing the expected utility theory, a maintenance decision model is innovated, which makes sure the optimal maintenance decision scheme after the fault can be better selected. The performance of this proposed method is evaluated by using the experimental data. The results show that the accuracy of the fault reasoning model is higher than 80%, and the maintenance decision model successfully selects 236 optimal maintenance decision schemes from 3159 schemes generated by 13 faults.

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“…The phenomenon of pressure wave propagation due to water hammer in fluid-filled pipe has been studied in both experimentally and numerically [1][2][3]. A comprehensive understanding on this phenomenon is very useful for designing a reliable structure in engineering applications such as durable pipe for water hammer impact application [4], crashworthiness structures [5], suspension and damping systems [6], as well as to avoid component damage due to cavitation bubble collapse occurred during operation of fluid machinery [3,7].…”

Section: Introductionmentioning

confidence: 99%

Measurement of pressure wave speed in stainless-steel pipe generated by water hammer

et al. 2018

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This paper aims to demonstrate a measurement method of pressure wave speed in stainless-steel pipe filled with water caused by water hammer phenomenon. The pressure wave is generated using a self-developed drop impact testing equipment. An impactor is dropped to collide a buffer which then induces the water hammer phenomenon. The generated pressure and its propagation speed in the water are carefully measured here. Pressure measurement is conducted by a pressure transducer, while pressure wave speed is measured by two methods, which utilize peak time of the pressure recorded by pressure transducer and peak time of strains recorded by two strain gages positioned in a different location. These strain gages are oriented to the circumferential direction of the pipe. Measurement result shows that at 1.5 m height, impact pressure of between 0.86 to 1.16 MPa and wave velocity of 1250 m/s were obtained. From the experimental results, the characteristic of pressure wave in the water was able to be observed.

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Fail-safe design and analysis for the guide vane of a hydro turbine

Cited by 5 publications

References 13 publications

Failure Investigation of Plastic Shredding Machine’s Flange Coupling Based on Mechanical Analysis

Failure Investigation of Plastic Shredding Machine’s Flange Coupling Based on Mechanical Analysis

An Imitation medical diagnosis method of hydro-turbine generating unit based on Bayesian network

Measurement of pressure wave speed in stainless-steel pipe generated by water hammer

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