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Parametric Sensitivity Analysis of Factors Affecting Sound Transmission Loss of Multi-Layered Building Elements Using Taguchi Method

Naveen Garg Anil Kumar Sagar Maji
Archives of Acoustics | 2014 | vol. 39 | No 2 | 165-176 | DOI: 10.2478/aoa-2014-0020
Keywords Spectrum adaptation terms (C, Ctr) weighted sound reduction index (Rw) L8 Orthogonal array (OA) Analysis of Variance (ANOVA) mass-air-mass resonance (m.a.m)
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Abstract

The paper presents application of Taguchi method in optimizing the sound transmission loss through sandwich gypsum constructions and those comprising of masonry concrete blocks and gypsum boards in order to investigate the relative influence of the various parameters affecting the sound transmission loss. The application of Taguchi method for optimizing sound transmission loss has been rarely reported. The present work uses the results analytically predicted on “Insul” software for various sandwich material configurations as desired by each experimental run in an L8 orthogonal array. The relative importance of the parameters on single-number rating, Rw (C, Ctr) is evaluated in terms of percentage contribution using Analysis of Variance (ANOVA). The ANOVA method reveals that type of studs, steel stud frame and number of gypsum layers attached are the key factors controlling the sound transmission loss characteristics of sandwich multi-layered constructions.

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Authors and Affiliations

Naveen Garg
Anil Kumar
Sagar Maji

Technical Notes: Practical Concerns Associated with Single-Number Ratings in Measuring Sound Transmission Loss Properties of Partition Panels

Naveen Garg Anil Kumar Sagar Maji
Archives of Acoustics | 2013 | vol. 38 | No 1 | 115-124 | DOI: 10.2478/aoa-2013-0014
Keywords Sound Transmission Loss (TL) sound transmission class (STC) spectrum adaptation terms (C; Ctr) ISO 717-1 weighted sound reduction index (Rw) spectrum adaptation term corresponding to noise source Cx
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Abstract

The paper presents an extensive review investigating the practical aspects related to the use of single- number ratings used in describing the sound insulation performance of partition wall panels and practical complications encountered in precise measurements in extensive frequency range from 50 Hz to 5 kHz. SWOT analysis of various single number ratings is described. A laboratory investigation on a double wall partition panel combination revealed the significant dependence of STC rating on transmission loss at 125 Hz attributed to 8 dB rule. An investigation conducted on devising alternative spectrums of aircraft noise, traffic noise, vehicular horn noise and elevated metro train noise as an extension to ISO 717-1 Ctr for ascertaining the sound insulation properties of materials exclusively towards these noise sources revealed that the single-number rating Rw + Ctr calculated using ISO 717-1 Ctr gives the minimum sound insulation, when compared with Rw + Cx calculated using the alternative spectrums of aircraft noise, traffic noise, etc., which means that material provides a higher sound insulation to the other noise sources. It is also observed that spectrum adaptation term Cx calculated using the spectrum of noise sources having high sound pressure levels in lower frequencies decreases as compared to ISO 717-1 Ctr owing to significant dependence of Ctr at lower frequencies.
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Authors and Affiliations

Naveen Garg
Anil Kumar
Sagar Maji

Investigation of deformation behaviour of steel, aluminium and copper alloys during hydro-mechanical drawing

Binayak Nahak Anil Kumar Anshul Yadav Jerzy Winczek
Archive of Mechanical Engineering | 2022 | vol. 69 | No 3 | 455-469 | DOI: 10.24425/ame.2022.141516
Keywords hydro-mechanical drawing EN10130 copper C12200 aluminium 8011 deformation
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Abstract

The hydro-mechanical drawing combines conventional deep drawing and sheet hydroforming and is widely used in the automotive industry. In this study, we designed and fabricated an indigenous experimental set-up that is low cost, low weight and portable. This study investigated the deformation of sheet metals into hemispherical cup-shaped parts made of different materials, viz., aluminium 8011 alloys, copper C12200 and steel EN10130 alloys. The initial thickness of sheet metal was 0.4 mm, the most common thickness range used in automotive applications. The deformation behaviour in terms of dome height has been measured by varying the pressure of the fluids. Aluminium 8011 alloy sheets showed a maximum dome height of 11.46 mm at a pressure of 1.47 MPa with no rupture. Steel EN10130 sheets had a maximum dome height of 10.89 mm at a pressure of 9.31 MPa. It was concluded that the behaviours of materials are different in the hydro-mechanical drawing process than in mechanical tests. Copper C12200 sheet showed superior formability with a maximum dome height of 18.91 mm at a pressure of 7.06 MPa than other materials without fracture.
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[14] A.A. Emiru, D.K. Sinha, A. Kumar, and A. Yadav. Fabrication and characterization of hybrid aluminium (Al6061) metal matrix composite reinforced with SiC, B 4C and MoS 2 via stir casting. International Journal of Metalcasting, 2022. doi: 10.1007/s40962-022-00800-1.
[15] F. Hasan, R. Jaiswal, A. Kumar, and A. Yadav. Effect of TiC and graphite reinforcement on hardness and wear behaviour of copper alloy B-RG10 composites fabricated through powder metallurgy. JMST Advances, 4:1–11, 2022. doi: 10.1007/s42791-022-00043-5.
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Authors and Affiliations

Binayak Nahak
1
ORCID: ORCID
Anil Kumar
2
ORCID: ORCID
Anshul Yadav
2
Jerzy Winczek
3
ORCID: ORCID
  1. Motilal Nehru National Institute of Technology Allahabad, Prayagraj – 211004, India
  2. Kamla Nehru Institute of Technology, Sultanpur – 228118, India
  3. Częstochowa University of Technology, Częstochowa, Poland

Fault diagnosis of electrical faults of three-phasei nduction motors using acoustic analysis

Adam Glowacz Maciej Sulowicz Jarosław Kozik Krzysztof Piech Witold Glowacz Zhixiong Li Frantisek Brumercik Miroslav Gutten Daniel Korenciak Anil Kumar Guilherme Beraldi Lucas Muhammad Irfan Wahyu Caesarendra Hui Lui
Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 1 | e148440 | DOI: 10.24425/bpasts.2024.148440
Keywords acoustic signal induction motor fault neural network
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Abstract

Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications.
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Authors and Affiliations

Adam Glowacz
1
ORCID: ORCID
Maciej Sulowicz
1
ORCID: ORCID
Jarosław Kozik
2
ORCID: ORCID
Krzysztof Piech
2
ORCID: ORCID
Witold Glowacz
3
ORCID: ORCID
Zhixiong Li
4 5
ORCID: ORCID
Frantisek Brumercik
6
ORCID: ORCID
Miroslav Gutten
7
ORCID: ORCID
Daniel Korenciak
7
Anil Kumar
8
ORCID: ORCID
Guilherme Beraldi Lucas
9
ORCID: ORCID
Muhammad Irfan
10
ORCID: ORCID
Wahyu Caesarendra
4 11
ORCID: ORCID
Hui Lui
12
ORCID: ORCID
  1. Cracow University of Technology, Faculty of Electrical and Computer Engineering, Department of Electrical Engineering, ul. Warszawska 24,31-155 Kraków, Poland
  2. AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of PowerElectronics and Energy Control Systems, al. A. Mickiewicza 30, 30-059 Kraków, Poland
  3. AGH University of Krakow, Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering, Department of AutomaticControl and Robotics, al. A. Mickiewicza 30, 30-059 Krakw, Poland
  4. Faculty of Mechanical Engineering, Opole University of Technology, Opole 45-758, Poland
  5. University of Religions and Denomina, Qom, Iran
  6. University of Zilina, Faculty of Mechanical Engineering, Department of Design and Machine Elements, Univerzitna 1, 010 26 Zilina, Slovakia
  7. University of Zilina, Faculty of Electrical Engineering and Information Technology, 8215/1 Univerzitna, 01026 Zilina, Slovakia
  8. Wenzhou University, College of Mechanical and Electrical Engineering, Wenzhou, 325 035, China
  9. Sao Paulo State University, Department of Electrical Engineering, Av. Eng. Luís Edmundo Carrijo Coube, 14-01, Bauru, Sao Paulo, Brazil
  10. Najran University Saudi Arabia, Electrical Engineering Department, College of Engineering, Najran 61441, Saudi Arabia
  11. Faculty of Integrated Technologies, Universiti Brunei Darusalam, Jalan Tungku Link, Gadong BE1410, Brunei
  12. China Jiliang University, College of Quality and Safety Engineering, Hangzhou 310018, China

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