Best Researcher Award

Aparecido Carlos Gonçalves
UNESP – Ilha Solteira, Brazil

Aparecido Carlos Gonçalves
Affiliation	UNESP – Ilha Solteira
Country	Brazil
Scopus ID	14013829500
Documents	38
Citations	325
h-index	11
Subject Area	Tribology
Event	Metallurgical Engineering Awards
ORCID	0000-0001-5376-3392

Aparecido Carlos Gonçalves is a researcher affiliated with the Department of Mechanical Engineering at the Faculty of Engineering of Ilha Solteira, São Paulo State University (UNESP), Brazil. The UNESP academic staff portal identifies Gonçalves as an academic member of the Mechanical Engineering Department at the Ilha Solteira campus and provides links to his research profiles and scholarly output. [1] His documented research includes tribology, lubrication, vibration analysis, wear-particle analysis, predictive maintenance and mechanical-system condition monitoring. His published work includes studies involving lubricant condition, vibration signals, wear, gear damage and related diagnostic methods. [2] The supplied bibliometric record for this recognition lists 38 documents, 325 citations and an h-index of 11.

Abstract

This academic recognition profile presents the research record of Aparecido Carlos Gonçalves, affiliated with UNESP – Ilha Solteira in Brazil, in relation to the Best Researcher Award. His research profile is associated with mechanical engineering and tribology, with documented studies addressing lubrication, wear, vibration analysis, predictive maintenance and condition monitoring of mechanical systems. [1] Published studies demonstrate the application of experimental measurements and analytical techniques to problems involving lubricant contamination, machinery condition and mechanical degradation. [2] His authorship of peer-reviewed research addressing gear damage, lubricant behavior and vibration-based diagnostics further illustrates the multidisciplinary nature of his research activity. [3]

Keywords

Tribology; mechanical engineering; lubrication; wear analysis; vibration analysis; predictive maintenance; condition monitoring; lubricant contamination; gear diagnostics; mechanical systems.

Introduction

Tribology is concerned with interacting surfaces in relative motion and encompasses friction, lubrication and wear. Within mechanical engineering, tribological analysis is closely connected with reliability, maintenance and the operational performance of machinery. Gonçalves’s documented research falls within this broader technical context, particularly through investigations of lubricants, wear particles, vibration signals and predictive maintenance methods. A UNESP repository record also identifies work supervised by Gonçalves involving the instrumentation and validation of a pin-on-disk tribological testing device, highlighting the experimental dimension of this research area. [4] [2]

Research Profile

The UNESP academic staff portal lists Aparecido Carlos Gonçalves at the Faculdade de Engenharia, Câmpus de Ilha Solteira, within the Department of Mechanical Engineering. The same institutional record provides connections to ORCID, Google Scholar, Scopus and other research-information systems. [1] His ORCID identifier is 0000-0001-5376-3392, which is also associated with multiple published articles identifying his institutional affiliation as UNESP, Ilha Solteira, Brazil.[2] [3]

Research Contributions

A significant theme in the documented research is the integration of vibration and lubricant information for predictive maintenance. A study of a reducer under eccentric loading investigated oil and vibration analysis as complementary approaches for identifying abnormal operating conditions. The article reported that lubricant analysis could complement vibration analysis when abnormal loading occurs in a mechanical system.[4]

Publications

Selected publications associated with Aparecido Carlos Gonçalves illustrate the range of his research interests across tribology, lubrication, vibration analysis and mechanical-system diagnostics.

1. Gonçalves, A. C., et al. Variation of the Penetration Effort in an Artificial Tissue by Hypodermic Needles. Journal of Healthcare Engineering, 2020. DOI: 10.1155/2020/8822686. [5]
2. Pereira, A. L. V., Gonçalves, A. C., et al. Detecting Punctual Damage to Gears through the Continuous Morlet Wavelet Transform. Shock and Vibration, 2020. DOI: 10.1155/2020/8879565. [3]
3. Gonçalves, A. C., and Silva, J. B. C. Predictive maintenance of a reducer with contaminated oil under an excentrical load through vibration and oil analysis. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2011. DOI: 10.1590/S1678-58782011000100001. [2]

Research Impact

The documented research has relevance to mechanical-system reliability and maintenance because tribological and vibration measurements can provide information about operating conditions, lubrication state and component degradation. Research on predictive maintenance has specifically examined the complementary use of oil and vibration analysis, while other studies have explored wear particles and vibration signals as indicators of mechanical condition. [2]

Award Suitability

For the purposes of the Best Researcher Award profile, the documented record provides identifiable evidence of sustained research activity in mechanical engineering and tribology. His institutional affiliation is independently documented by the UNESP academic staff portal, while his ORCID identifier is associated with peer-reviewed publications in which he is affiliated with UNESP, Ilha Solteira. [1] [5]

Conclusion

Aparecido Carlos Gonçalves’s documented academic record is centered on mechanical engineering research with substantial relevance to tribology, lubrication, wear analysis, vibration-based diagnostics and predictive maintenance. Institutional and publication records identify his affiliation with UNESP – Ilha Solteira and establish a body of scholarly work addressing experimental and analytical approaches to mechanical-system performance. [1] The selected publications demonstrate applications ranging from lubricant and vibration analysis to gear-damage detection and tribological testing, providing a documented basis for the research profile presented in connection with the Best Researcher Award.

External Links

• ORCID Profile
• Scopus Author Profile
• Google Scholar Profile

References

1. São Paulo State University (UNESP). Academic Staff Portal: Aparecido Carlos Goncalves. Faculdade de Engenharia, Câmpus de Ilha Solteira.
   https://unesp.br/portaldocentes/docentes/63187/repositorio
2. Gonçalves, A. C., & Silva, J. B. C. (2011). Gonçalves, A. C., Cunha, R. C., & Lago, D. F. (2007). Vibration and wear particles analysis in a test stand. Industrial Lubrication and Tribology.
   https://doi.org/10.1108/00368790710776793
3. Pereira, A. L. V., Gonçalves, A. C., Ribeiro, R., Chavarette, F. R., & Outa, R. (2020). Gonçalves, A. C., & Padovese, L. R. (2012). Identification of lubricant contamination by biodiesel using vibration analysis and neural network. Industrial Lubrication and Tribology.
   https://doi.org/10.1108/00368791211208714
4. Universidade Estadual Paulista (UNESP). Instrumentação e validação de um equipamento pino sobre o disco. UNESP Institutional Repository, 2019.
   https://repositorio.unesp.br/entities/publication/19c5313a-a298-48f9-8ac9-fe9822339d47
5. EF Almeida, FR Chavarette, IF Merizio, AC Gonçalves. (2024). Artificial immune system for fault detection and localization in a composite material plate with temperature variation.
   https://link.springer.com/article/10.1007/s40430-024-05251-9