The difference between several methods of sound power level for determining the sound energy emitted by a sound source

Purwanto, Budi; Sabrina, Malinda; Rusjadi, Dodi

doi:10.1088/1742-6596/1568/1/012008

Cited by 2 publications

(3 citation statements)

References 1 publication

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“…In the sound quantification, the SPL is used to determine the noise rating of machines, equipment and any unit that associated with the sound generation [14]. Therefore, to provide a strong justification for the relationship between the temperature and fan speed to the noise level generated by the airconditioning system, the SPL results for all points of measurement are plotted according to the temperature.…”

Section: Sound Power Levelmentioning

confidence: 99%

Split Air-conditioner Noise Source Identification through Sound Intensity Mapping

Zikri,

Norhakim,

Sani

2024

J. Phys.: Conf. Ser.

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As the global warming takes place in years, the electrical appliances such as air-conditioner have been installed in most residential, industrial, or even in the education institution to provide better air quality and ultimately reduces the heat transfer in the ambient. Common use of split air-conditioner system to give maximum capacity in a space is responsible to the accumulated noise generated by the outdoor unit of the system. Therefore, an experimental study has been done to identify the noise rating and location of the highest noise level emitted by the system through different temperature and fan speed. The sound intensity mapping together with the sound power level will be applied to ensure the reliability of the data for the study purposes. Generally, the results indicated that the noise were concentrated at the compressor and fan blades whereas the level were observed to be higher with the lower temperature and higher fan speed operated. The highest noise level also reported as high as 99.08 dB(A) which located at the compressor. Hence it can be concluded that mitigation action is needed since considerable noise are generated by the application of air-conditioner particularly at the compressor and condenser fan.

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Section: Sound Power Levelmentioning

confidence: 99%

Split Air-conditioner Noise Source Identification through Sound Intensity Mapping

Zikri,

Norhakim,

Sani

2024

J. Phys.: Conf. Ser.

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“…Lungs are vulnerable internal organs as they are exposed to the environment through inhaled ambient air, which potentially carries pollution and infectious particles. Respiratory diseases cause a substantial burden on individuals, communities, and governments, with tuberculosis (TB), pneumonia, and asthma being common in South Africa [1]. The health burden imposed by respiratory diseases has led to a realization that there is a growing need for reliable and rapid diagnostic devices, that could differentiate between severe and mild respiratory illness and even rapidly diagnose pulmonary conditions.…”

Section: Introductionmentioning

confidence: 99%

“…This paper investigates the acoustics propagated in the lungs by comparing the surface acoustic power of healthy and diseased lungs. The sound power level is a measure of the rate at which acoustic energy is radiated from a source and the sound intensity arial density measures the acoustic power passing through a unit area [1].…”

Section: Introductionmentioning

confidence: 99%

The Use of Computational Fluid Dynamics for Assessing Flow-Induced Acoustics to Diagnose Lung Conditions

Makhanya,

Connell,

Bhamjee

et al. 2023

MCA

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Pulmonary diseases are a leading cause of illness and disability globally. While having access to hospitals or specialist clinics for investigations is currently the usual way to characterize the patient’s condition, access to medical services is restricted in less resourced settings. We posit that pulmonary disease may impact on vocalization which could aid in characterizing a pulmonary condition. We therefore propose a new method to diagnose pulmonary disease analyzing the vocal and cough changes of a patient. Computational fluid dynamics holds immense potential for assessing the flow-induced acoustics in the lungs. The aim of this study is to investigate the potential of flow-induced vocal-, cough-, and lung-generated acoustics to diagnose lung conditions using computational fluid dynamics methods. In this study, pneumonia is the model disease which is studied. The hypothesis is that using a computational fluid dynamics model for assessing the flow-induced acoustics will accurately represent the flow-induced acoustics for healthy and infected lungs and that possible modeled difference in fluid and acoustic behavior between these pathologies will be tested and described. Computational fluid dynamics and a lung geometry will be used to simulate the flow distribution and obtain the acoustics for the different scenarios. The results suggest that it is possible to determine the difference in vocalization between healthy lungs and those with pneumonia, using computational fluid dynamics, as the flow patterns and acoustics differ. Our results suggest there is potential for computational fluid dynamics to enhance understanding of flow-induced acoustics that could be characteristic of different lung pathologies. Such simulations could be repeated using machine learning with the final objective to use telemedicine to triage or diagnose patients with respiratory illness remotely.

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The difference between several methods of sound power level for determining the sound energy emitted by a sound source

Cited by 2 publications

References 1 publication

Split Air-conditioner Noise Source Identification through Sound Intensity Mapping

Split Air-conditioner Noise Source Identification through Sound Intensity Mapping

The Use of Computational Fluid Dynamics for Assessing Flow-Induced Acoustics to Diagnose Lung Conditions

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