ORCID Profile
0000-0001-7123-4662
Current Organisation
Universiti Malaysia Terengganu
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Publisher: IEEE
Date: 06-2011
Publisher: IEEE
Date: 06-2011
Publisher: American Society of Mechanical Engineers
Date: 09-11-2012
Abstract: High speed planing craft as a unique vessel type play key commercial roles in niche passenger ferrying and high value cargo transport. In addition, they are used to support several critical maritime activities such as coastal surveillance, reconnaissance, and life-saving operations and many recreational pursuits. Formal optimization frameworks, despite their significant use across a range of domains, have rarely been proposed and developed to deal with the design challenges of high speed planing craft. Highlighted in this paper is an optimization framework drawing on both domain dependent and domain independent elements for the conceptual and preliminary design of high speed planing craft. A summary of the principal components of the optimization framework are presented, followed by several case study ex les. The solvers developed and employed are classified as being population based, evolutionary and stochastic in nature. These characteristics are well suited to design space exploration in all engineering and decision making contexts. Within the case studies presented, the s le key performance indicators include calm water resistance, resistance in waves, seakeeping and manoeuvring. The concept of scenario-based hydrodynamic design optimization is introduced using an ex le of a small rescue craft operating in a predefined sea-state. Finally, a multi-objective optimization case study considering total resistance, steady turning diameter and vertical impact acceleration is presented to demonstrate the capability to explore trade-offs while at the same time providing an understanding of the design intent of a basis ship. This work has significant purpose and relevance in both ab-initio and reverse engineering contexts. It also has natural extensions in both depth of analysis and breadth of application.
Publisher: American Scientific Publishers
Date: 11-2018
Publisher: Springer Singapore
Date: 2021
Publisher: Penerbit UMT, Universiti Malaysia Terengganu
Date: 31-07-2021
Publisher: IOP Publishing
Date: 18-09-2012
Publisher: Informa UK Limited
Date: 19-06-2014
Publisher: Informa UK Limited
Date: 10-2012
Publisher: MDPI AG
Date: 21-01-2023
DOI: 10.3390/JMSE11020256
Abstract: One of the biggest problems the maritime industry is currently experiencing is corrosion, resulting in short and long-term damages. Early prediction and proper corrosion monitoring can reduce economic losses. Traditional approaches used in corrosion prediction and detection are time-consuming and challenging to execute in inaccessible areas. Due to these reasons, artificial intelligence-based algorithms have become the most popular tools for researchers. This study discusses state-of-the-art artificial intelligence (AI) methods for marine-related corrosion prediction and detection: (1) predictive maintenance approaches and (2) computer vision and image processing approaches. Furthermore, a brief description of AI is described. The outcomes of this review will bring forward new knowledge about AI and the development of prediction models which can avoid unexpected failures during corrosion detection and maintenance. Moreover, it will expand the understanding of computer vision and image processing approaches for accurately detecting corrosion in images and videos.
Publisher: MDPI AG
Date: 10-10-2023
DOI: 10.3390/JMSE11101954
Publisher: Informa UK Limited
Date: 11-2011
Publisher: Elsevier BV
Date: 2013
Publisher: Springer Nature Singapore
Date: 08-07-2020
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 11-2020
Publisher: The Society of Naval Architects and Marine Engineers
Date: 08-03-2012
Publisher: Universitas Muhammadiyah Magelang
Date: 20-05-2022
DOI: 10.31603/MESI.6624
Abstract: This article reports a failure analysis of a diesel generator set connecting rod type 3516 B that has operated for 79,678 hours. From visual observation, connecting rod cylinder #10 has changed color in the shank area. This phenomenon may represent many cases of generator failure, so an analysis to identify the root cause of the failure is needed for scientific literature. In this case, fault tree analysis, SEM-EDX, chemical composition, and microstructure testing were performed to obtain more comprehensive results. Through fault tree analysis, we found that the connecting rod damage was caused by compression leakage due to wear on the cylinder liner. Scanning Electron Microscopy (SEM) analysis shows that the piston rod material is discolored due to heat, namely the formation of iron oxide. The heat level received by the connecting rod is around 200 °C. We also found a finely formed, easy-to-clean scale where the thickness ranged from 0.00127–0.008 mm. Finally, EDX analysis showed high levels of iron (Fe) and oxygen (O) confirming that the formation of iron-oxide on the metal surface was due to the influence of heat.
Publisher: IEEE
Date: 12-2017
No related grants have been discovered for Ahmad Faisal Mohamad Ayob.