• 920 Citations
  • 12 h-Index
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Fingerprint Dive into the research topics where Mohd. Zaki Nuawi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 9 Similar Profiles
Fatigue of materials Engineering & Materials Science
Fatigue damage Engineering & Materials Science
Wear of materials Engineering & Materials Science
Signal analysis Engineering & Materials Science
Sensors Engineering & Materials Science
Monitoring Engineering & Materials Science
Notch filters Engineering & Materials Science
Bearings (structural) Engineering & Materials Science

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Research Output 2008 2019

  • 920 Citations
  • 12 h-Index
  • 127 Article
  • 70 Conference contribution
  • 2 Review article
  • 1 Conference article

Analysis of wake region behind bluff body for piezoelectric energy harvester

Kazim, M. N. F. M., Mohammad Rasani, M. R., Nuawi, M. Z., Harun, Z., Hau, Y. K. & Majid, M. S. A., 1 Mar 2019, In : Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 55, 2, p. 249-263 15 p.

Research output: Contribution to journalArticle

Vortex shedding
Strouhal number

Cutting tool wear progression index via signal element variance

Kasim, N. A., Nuawi, M. Z., A Ghani, J., Rizal, M., Ahmad, M. A. F. & Che Haron, C. H., 1 Mar 2019, In : Journal of Mechanical Engineering and Sciences. 13, 1, p. 4596-4612 17 p.

Research output: Contribution to journalArticle

Cutting tools
Wear of materials
Feature extraction

Sound Properties Investigation of Date Palm Fiber

Mohammad, M., Nik Syukri, N. I. R. & Nuawi, M. Z., 1 Mar 2019, In : Journal of Physics: Conference Series. 1150, 1, 012003.

Research output: Contribution to journalConference article

Open Access
sound transmission
construction industry

Analysis of dimple structure fabricated using turning process and subsequent reduction in friction

A Ghani, J., Dali, M. N. A. M., Rahman, H. A., Che Haron, C. H., Wan Mahmood, W. M. F., Mohammad Rasani, M. R. & Nuawi, M. Z., 1 Jan 2018, (Accepted/In press) In : Wear.

Research output: Contribution to journalArticle

friction reduction
Silicon alloys

Characterization of wavelet decomposition strain signal using the k-mean clustering method

Rahim, A. A., Chin, C. H., Abdullah, S., Singh, S. S. K., Nuawi, M. Z. & Hassan, F. H. A., 1 Jan 2018, In : International Journal of Engineering and Technology(UAE). 7, 3, p. 158-162 5 p.

Research output: Contribution to journalArticle

Wavelet decomposition
Cluster Analysis
Fatigue of materials
Wavelet Analysis