International Journal of Engineering
Trends and Technology

Research Article | Open Access | Download PDF
Volume 74 | Issue 9 | Year 2026 | Article Id. IJETT-V74I9P142 | DOI : https://doi.org/10.14445/22315381/IJETT-V74I9P142

Vibration and Acoustic Emission Diagnostics for Identifying Nano-Additive Effects under Particulate Contamination in Rolling Bearings


R. T. Chander, Partha Sarathi Chakraborty, S. Nallusamy, V. S. Hariharan, K. Manogar

Received Revised Accepted Published
25 Jun 2026 15 Jul 2026 21 Aug 2026 30 Sep 2026

Citation :

R. T. Chander, Partha Sarathi Chakraborty, S. Nallusamy, V. S. Hariharan, K. Manogar, "Vibration and Acoustic Emission Diagnostics for Identifying Nano-Additive Effects under Particulate Contamination in Rolling Bearings," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 9, pp. 609-623, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I9P142

Abstract

This study improves and endorses Vibration and Acoustic Emission (AE) based diagnostic methods to assess the in-service performance of nano-additives in mineral oil-lubricated rolling bearings under solid contamination. Tests were performed using base oil and three nano-additives, namely Tungsten Disulfide (WS₂), Graphene Nanoplatelets (GNP), and Al₂O₃, under quartz particulate ingress. High-frequency AE and accelerometer vibration signals were recorded with friction, temperature, and wear measurements. Time- and frequency-domain features, including RMS, spectral band energies, AE counts, and hit energy, were extracted and examined and compared to the contaminated base oil, WS₂ and GNP formulations reduced vibration RMS by approximately 33% and 26%, respectively, while AE RMS values decreased by nearly 40% and 32%. Correspondingly, the wear rate was reduced by 65% for WS₂ and 55% for GNP. AE counts and peak energies provided indicators of incipient abrasive events. Envelope and spectral analyses revealed frequency signatures associated with third-body impacts and tribo-film sliding. Correlation analysis confirmed strong relationships (r>0.8) between vibration and RMS, AE RMS, envelope peak amplitude and wear rate. Random Forest classification demonstrated that a subset of AE and vibration features could discriminate the responses of the tested lubricant conditions, particularly the film-forming WS₂ and GNP formulations from the Al₂O₃ condition. Surface analyses using SEM, XPS, and Raman spectroscopy confirmed tribo-film formation for WS₂ and GNP and severe ploughing for Al₂O₃. The diagnostic framework offers monitoring of lubricant additive efficacy in industrial bearings.

Keywords

Vibration Diagnostics, Acoustic Emission, Nano-Additives, Tribofilm, Bearing Contamination, Wear Monitoring.

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