Autor: Thamba, Narendiranath Babu - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Study of Effect of Linear Tip Relief Modification in Power Transmission Efficiency of Spur Gears
Autorzy:: Thamba, Narendiranath Babu
Tambare, Abhijeet Mukund
Ananthanarayanan, Krishna Caitanya
Duraiswamy, Rama Prabha
Thangavelu, Shankar
Easwara Pillai, Raj Kumar
Mangalaraja, Ramalinga Viswanathan
Powiązania:: https://bibliotekanauki.pl/articles/176575.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: linear gear tip relief profile modification
tooth profile deformation
transmission efficiency
TE
transmission error
Opis:: This paper explores the influence of linear gear tip relief modification on power transmission efficiency. In real time applications gears experience transmission error (TE) during operation which increases noise and vibration and also results in increased tooth profile deformation during operation of the gear. By providing tip relief profile modification this TE can be decreased. Using MATLAB for computation and ANSYS for the simulation of deformation, stress, strain, life, and factor of safety results for the gear assemblies are obtained. Deformation results are used for the computation change in power transmission efficiency followed by the modal and harmonic analysis of the gears and gear assemblies to determine change in the first mode of natural frequency.
Źródło:: Archives of Acoustics; 2020, 45, 2; 271-282
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Fault Analysis of Worm Gear Box Using Symlets Wavelet
Autorzy:: Thamba, Narendiranath Babu
Thatikonda Venkata, Kiran Kamesh
Nutakki, Sathvik
Duraiswamy, Rama Prabha
Mohammed, Noor
Wahab, Razia Sultana
Mangalaraja, Ramalinga Viswanathan
Manivannan, Ajay Vannan
Powiązania:: https://bibliotekanauki.pl/articles/177633.pdf
Data publikacji:: 2020
Wydawca:: Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:: worm gear box
FFT
Fast Fourier Transform
symlet wavelets
artificial neural Network
Opis:: This research highlights the vibration analysis on worm gears at various conditions of oil using the experimental set up. An experimental rig was developed to facilitate the collection of the vibration signals which consisted of a worm gear box coupled to an AC motor. The four faults were induced in the gear box and the vibration data were collected under full, half and quarter oil conditions. An accelerometer was used to collect the signals and for further analysis of the vibration signals, MATLAB software was used to process the data. Symlet wavelet transform was applied to the raw FFT to compare the features of the data. ANN was implemented to classify various faults and the accuracy is 93.3%.
Źródło:: Archives of Acoustics; 2020, 45, 3; 521-540
0137-5075
Pojawia się w:: Archives of Acoustics
Dostawca treści:: Biblioteka Nauki

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