Acoustic Analysis Using Sound Level Meter to Determine the Period of Usage of the Spindle Bearing of a Radial Drilling Machine

• Autorzy: Charles S. , Vijaya Joslin D.

Identyfikatory

DOI

10.24425/aoa.2019.129265

• Języki publikacji: EN

Abstrakty

EN

The condition monitoring techniques like acoustic emission, vibration analysis, and infrared thermography, used for the failure diagnosis of bearings, require longer processing time, as they have to per form acoustical measurement followed by signal processing and further analysis using special software. However, for any bearing, its period of usage can be easily determined within an hour, by measuring the bearing sound, using sound level meter (SLM). In this paper the acoustical analysis of the spindle Bering of a radial drilling machine was performed using SLM, by measuring the sound pressure level of the bearing in decibels, for different frequencies, while muting all the other noises. Then using an experimental set up, two database readings were taken, one for new bearing and the other for completely damaged bearing, both are SKF6207, which itself is the spindle bearing. From these three sets of sound pressure level readings, the period of usage of the spindle bearing, was calculated using an interpolation equation, by substituting the life of the bearing from the manufacturer’s catalogue. Therefore, for any machine with a SKF6207 bearing, its usage time can be estimated using the database readings and one measurement on that machine, all with the same speed.

Słowa kluczowe

EN

acoustical condition monitoring; radial drilling machine; spindle bearing; sound level meter; sound pressure level; sound muting transducer

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2019
• Tom: Vol. 44, No. 3
• Strony: 505--510
• Opis fizyczny: Bibliogr. 11 poz., fot., rys., tab., wykr.

Twórcy

autor

Charles S.

• Department of Mechanical Engineering, SNS College of Technology, Coimbatore – 641 035, Tamilnadu, India

autor

Vijaya Joslin D.

• Department of Mechanical Engineering, JCT College of Engineering and Technology, Coimbatore – 641 105, Tamilnadu, India

Bibliografia

• 1. Ambekar A. G. (2006), Mechanical vibrations and noise engineering, Prentice-Hall of India Private Limited, India.
• 2. AlShammari F., Addali A. (2015), Bearing condition monitoring with acoustic emission techniques, International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering, 9, 12, 2081-2085.
• 3. Devi S., Siva Kumar L., Shanker N. R., Prabakaran K. A. (2010), A comparative study between vibration and acoustic signals in HTC cooling pump and chilling pump, IACSIT International Journal of Engineering and Technology, 2, 3, 273-277.
• 4. Hajra Choudhury S. K., Hajra Choudhury A. K., Nirjhar Roy (2013), Elements of workshop technology, 6th Ed., Media Promoters & Publishers Pvt. Ltd., Mumbai, India, pp. 239-277.
• 5. Peterson A. P. G. (2013), Handbook of noise measurement, 9th Ed., GenRad, Concord, Massachusetts.
• 6. Popoli W. (2000), Spindle-bearing basics, Manufacturing Engineering, 125, 5, 52-52.
• 7. Senthilraja C., Vinoth L. (2015), A review on fault diagnosis of ball bearing using sound and vibration signals, International Journal of Innovative Research in Science, Engineering and Technology, 4, 13, 381-393.
• 8. Seo J., Choi N., Kim W., Hong D. (2012), Infrared thermography quantitative diagnosis in vibration mode of rotational mechanics, Journal of the Korean Society of Non-destructive Testing, 32, 3, 291-295.
• 9. Sheng C., Li Z., Qin L., Guo Z., Zhang Y. (2011), Recent progress on mechanical condition monitoring and fault diagnosis, Procedia Engineering, 15, 142-146.
• 10. Veggeberg K. (2008), Octave analysis explored, Evaluation Engineering, 47, 8, 40-43.
• 11. Yanfang D., Zude Z., Mingyao L. (2016), A new model based machine tool spindle bearing preload optimization method, International Journal of Engineering and Technology, 6, 11, 416-423.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).