Mathematical Modelling of Sound Pressure Level Attenuation Transmitted by an Acoustic Screen in Industrial Environment

Tomozei, Claudia; Nedeff, Florin; Paraschiv, G.; Irimia, Oana; Ardeleanu, Greta; Petrovici, Alina

doi:10.30638/eemj.2014.194

Cited by 4 publications

(3 citation statements)

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“…4) is a software package for researchers, which allows the automation of the construction process of surfaces in a single processing step, where it matches and classifies about 36,000 of the more than 450 million integrated equations frequently encountered, allowing users to find the ideal model for their 3D data. Once the user has selected the best matching equation, it can issue functions and test the programming codes or generate quality reports and graphs for publications [1,[55][56][57][58]. It is worth mentioning that a number of 20,450 values were obtained, which were used for the elaboration of mathematical models [1].…”

Section: Realization Of the Mathematical Modelmentioning

confidence: 99%

Mathematical Model Regarding the Application of the Excitation-Emission Matrix Spectroscopy in Nanofiltration Process Using Humic Acid with a TiO2 Ceramic Membrane

Dascalu¹,

Nedeff²,

Sandu³

et al. 2019

Mat.Plast.

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A mathematical model regarding water filtration with a nanofiltration (NF) titanium dioxide ceramic membrane is presented. The experiments aimed to use the excitation-emission matrix (EEM) spectroscopy method to highlight the existence of humic acid (HA) in water, before and after the NF process. Following the established operating conditions, experiments were performed for each quantity of AH separately, leaving the installation to work at the appropriate parameters for 15 minutes. for each quantity of AH. The analyzes for EEM fluorescence were performed using the FP-8300 spectrofluorimeter. The collected samples were analyzed with Spectra Manager II software on fluorescence intensity (au - arbitrary units), with an emission wavelength (nm) between 460 and 640 nm and with an excitation wavelength (nm) between 350 and 600 nm. Following the experiments carried out, mathematical correlations were established between the parameters that influence the filtering process and the studied parameters. It is worth mentioning that as a result of the experiments carried out, a number of 20,450 values were obtained, which were used for the elaboration of mathematical models. These models, for sets of values of the order of tens of thousands, verified both from the point of view of the real values and from the point of view of the regression coefficients (coefficients close to the value 1), demonstrate the quantity and the very good quality of the experimental data, respectively of the measured and calculated sizes. In order to validate the generated equations, they were subjected to checks, the difference being obtained between the value obtained by experimental means and the value obtained within the mathematical model. And the value of the resulting relative error, gives information on the accuracy (truth) of the mathematical model, so that it can be extended to other experiences. It turns out that this method cannot quantitatively determine the value of a parameter, but it can highlight the presence and differences between two samples.

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Section: Realization Of the Mathematical Modelmentioning

confidence: 99%

Mathematical Model Regarding the Application of the Excitation-Emission Matrix Spectroscopy in Nanofiltration Process Using Humic Acid with a TiO2 Ceramic Membrane

Dascalu¹,

Nedeff²,

Sandu³

et al. 2019

Mat.Plast.

Self Cite

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“…This model characterizes the variation of sound pressure level propagation and the variation of attenuation of the sound pressure level propagated in an enclosed space. The authors realized experimental measurements and mathematical modeling, taking into account the position of the acoustic screen for the noise source and the height of the used microphone for recording [16].…”

Section: Introductionmentioning

confidence: 99%

Proposed Options for Noise Reduction from a Wastewater Treatment Plant: Case Study

et al. 2021

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Industry and industrial complexes are often located in the proximity of people’s homes. One of the negative effects of industry is noise emissions into the surrounding environment. With the increasing concentration of the human population and the increase in industrial production, more and more people are exposed to the negative effects of noise. This article discusses a comprehensive approach to reducing noise emissions from industrial operations, and the subsequent impacts on surrounding villages and human health. The first step of the whole process is to understand the current state of the acoustic situation in industrial operation and in the nearby villages, an important part of which is the identification and localization of dominant noise sources. For this purpose, a unique noise visualization tool was used, namely, an acoustic camera. The next important step is to propose a technical solution and measures to reduce the noise of the individual source. Consequently, it is necessary to create a mathematical model, i.e., noise maps, in order to verify whether the proposed measures will be sufficient. Once the proposed measures have been implemented, verification of the effectiveness of these measures needs to be carried out through repeated noise measurements in nearby villages and also on the site of the industrial installation. The above procedure was applied to the operation of a wastewater treatment plant that was causing noise exceeding the permissible levels in the surrounding villages. The application of this approach, the implementation of the proposed measures, and the subsequent verification confirmed a significant reduction in the noise levels in the affected villages, and the measures implemented were assessed as highly effective.

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“…The noise exposure of workers in industrial halls is mainly caused by noisy machines whose acoustic characteristics are specified, known. The most exposed to the noise are the workers close to the machine, also it's important their position towards the machine [3][4][5][6][7][8][9][10][11][12][13][14]. Also, a direct relationship is between industrial noise and the percentage of affected workers, disturbed by noise.…”

Section: Introductionmentioning

confidence: 99%

Measuring Noise Level in the Textile Industry

Tomozei¹,

PIPA²,

Irimia³

et al. 2018

JESR

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The Company SС Sonomа Trаding currently owns a production area, the activity being carried out on a placement has a built area of 275 m2. The monitoring of the noise level within the company Sonoma Trading SRL was carried out for three weeks, between 18.05.2015 - 5.06.2015; for the noisiest equipments. Result of noise level was in the range 82.41 dB – 63.73 dB. The background noise was 38.59 dB. Based on the results of the measurements made, the noise map for both tailoring rooms was prepared: the tailor room and the ironing - stapled - packing section. According to the obtained results, the noise level values within the company Sonoma Trading SRL do not exceed the maximum allowed imposed by the legislation in force.

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Mathematical Modelling of Sound Pressure Level Attenuation Transmitted by an Acoustic Screen in Industrial Environment

Cited by 4 publications

References 0 publications

Mathematical Model Regarding the Application of the Excitation-Emission Matrix Spectroscopy in Nanofiltration Process Using Humic Acid with a TiO2 Ceramic Membrane

Mathematical Model Regarding the Application of the Excitation-Emission Matrix Spectroscopy in Nanofiltration Process Using Humic Acid with a TiO2 Ceramic Membrane

Proposed Options for Noise Reduction from a Wastewater Treatment Plant: Case Study

Measuring Noise Level in the Textile Industry

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