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P. Nivesrangsan

Bio: P. Nivesrangsan is an academic researcher from Heriot-Watt University. The author has contributed to research in topics: Acoustic emission & Attenuation. The author has an hindex of 3, co-authored 3 publications receiving 113 citations.

Papers
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Journal ArticleDOI
TL;DR: In this paper, two source location techniques, a traditional wave velocity-based and an energy-based technique, using triangular sensor arrays, are used to locate source positions on the cylinder head of a 74kW diesel engine using simulated sources (pencil lead break) and real sources (e.g. injectors and exhaust valves during engine running).

74 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the characteristics of AE wave transmission around and through the cylinder head of a small four-stroke fuel injection diesel engine, using a nine-sensor array.

41 citations

Proceedings ArticleDOI
13 Jun 2005
TL;DR: This paper reports the development of a ray firing procedure to model the transmission of rays both across the surface and through the interior of a complex mechanical solid.
Abstract: This paper investigates the feasibility of predicting the attenuation of AE signals travelling within a complex solid body. Such AE can occur due to external stimulation (e.g. impact) or internal events (i.e. crack propagation). The attenuation of these signals is affected not only by material properties but also by the geometry of the object. For example, wave propagation on a typical engine block is complex because of its intricate shape with variations and discontinuities in thickness and surface curvature. In contrast to much of the reported work in computer graphics (CG) literature that models the transmission of sound in rooms and buildings, this paper reports the development of a ray firing procedure to model the transmission of rays both across the surface and through the interior of a complex mechanical solid. The attenuation rate is proportional to the AE path length so the challenge of modelling the physical phenomena involves calculating the path lengths between the sensor and the source. The results of the computational simulation are compared with those obtained by experiment and found to be in good agreement.

6 citations


Cited by
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Journal ArticleDOI
TL;DR: In this article, the air-borne acoustic signals in the vicinity of injector head were recorded using three microphones around the fuel injector (120° apart from each other) and an independent component analysis (ICA) based scheme was developed to decompose these acoustic signals.

121 citations

Journal ArticleDOI
TL;DR: In this paper, the authors used non-linear theory for cylindrical shell to derive motion equation under simply supported boundary condition and solved the motion equation by using Galerkin method that resulted in a system of nonlinear equations with 6 degrees of freedom.

119 citations

Journal ArticleDOI
TL;DR: In this paper, two source location techniques, a traditional wave velocity-based and an energy-based technique, using triangular sensor arrays, are used to locate source positions on the cylinder head of a 74kW diesel engine using simulated sources (pencil lead break) and real sources (e.g. injectors and exhaust valves during engine running).

74 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented a theoretical investigation of the acoustic emission to detect the internal leakage rate through a valve and experimental validation of the AE signals generated by internal liquid and gas leakage through valves.

68 citations

Journal ArticleDOI
01 Feb 2008
TL;DR: In this paper, acoustic emission testing for faults in static equipment has been used since the 1970s, but its use as a monitoring technology for various machinery conditions has been poorly adopted by industry, despite a significant volume of work having been published over the past twenty years describing success in detecting rotating and reciprocating machinery faults.
Abstract: Managing asset integrity is crucial for the cost-effective asset management of processing plants. Consequently, new techniques for detection and classification of incipient faults are continuously being sought by industry and developed by research and development professionals, both corporate and academic. Although acoustic emission (AE) testing for faults in static equipment has been used since the 1970s, its use as a monitoring technology for various machinery conditions has been poorly adopted by industry, despite a significant volume of work having been published over the past twenty years describing success in detecting numerous rotating and reciprocating machinery faults. Anecdotal evidence from industry suggests that many ‘tried and failed’. The authors believe that this is because applying AE monitoring to industrial plant is fraught with poorly documented challenges, obstacles, and limitations that must be well understood and overcome before any reported results can be replicated. Thus, t...

67 citations