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Authors = Abdul Muqeet Shah ORCID = 0000-0002-2596-1057

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13 pages, 6429 KiB  
Article
Combination of a Nondestructive Testing Method with Artificial Neural Network for Determining Thickness of Aluminum Sheets Regardless of Alloy’s Type
by Abdulilah Mohammad Mayet, Muhammad Umer Hameed Shah, Robert Hanus, Hassen Loukil, Muneer Parayangat, Mohammed Abdul Muqeet, Ehsan Eftekhari-Zadeh and Ramy Mohammed Aiesh Qaisi
Electronics 2023, 12(21), 4504; https://doi.org/10.3390/electronics12214504 - 2 Nov 2023
Cited by 1 | Viewed by 1445
Abstract
Non-destructive and reliable radiation-based gauges have been routinely used in industry to determine the thickness of metal layers. When the material’s composition is understood in advance, only then can the standard radiation thickness meter be relied upon. Errors in thickness measurements are to [...] Read more.
Non-destructive and reliable radiation-based gauges have been routinely used in industry to determine the thickness of metal layers. When the material’s composition is understood in advance, only then can the standard radiation thickness meter be relied upon. Errors in thickness measurements are to be expected in settings where the actual composition of the material may deviate significantly from the nominal composition, such as rolled metal manufacturers. In this research, an X-ray-based system is proposed to determine the thickness of an aluminum sheet regardless of its alloy type. In the presented detection system, an X-ray tube with a voltage of 150 kV and two sodium iodide detectors, a transmission detector and a backscattering detector, were used. Between the X-ray tube and the transmission detector, an aluminum plate with different thicknesses, ranging from 2 to 45 mm, and with four alloys named 1050, 3050, 5052, and 6061 were simulated. The MCNP code was used as a very powerful platform in the implementation of radiation-based systems in this research to simulate the detection structure and the spectra recorded using the detectors. From the spectra recorded using two detectors, three features of the total count of both detectors and the maximum value of the transmission detector were extracted. These characteristics were applied to the inputs of an RBF neural network to obtain the relationship between the inputs and the thickness of the aluminum plate. The trained neural network was able to determine the thickness of the aluminum with an MRE of 2.11%. Although the presented methodology is used to determine the thickness of the aluminum plate independent of the type of alloy, it can be used to determine the thickness of other metals as well. Full article
(This article belongs to the Special Issue Application of Artificial Neural Network in Non-destructive Testing)
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29 pages, 16686 KiB  
Review
Structural Performance of Waste Plastic Bottles Modified Asphalt: A Review
by Abdul Muqeet Shah, Rida Hameed Lodhi, Muhammad Faisal Javed, Michał Jasiński, Elżbieta Jasińska and Miroslava Gono
Resources 2023, 12(1), 10; https://doi.org/10.3390/resources12010010 - 6 Jan 2023
Cited by 12 | Viewed by 6131
Abstract
The usage of plastic materials in our daily life is increasing day by day. These plastic materials are somehow beneficial for us, but the disposal of waste plastic materials has become a serious problem. The use of plastic not only enhances road construction [...] Read more.
The usage of plastic materials in our daily life is increasing day by day. These plastic materials are somehow beneficial for us, but the disposal of waste plastic materials has become a serious problem. The use of plastic not only enhances road construction but also helps extend the life of roads and improves the environment. Waste plastics use in roads increases durability and also reduces water retention. This research reviews the use of waste plastics in asphalt pavement. In this study, the properties such as Marshall stability, flow, resilient modulus, fatigue, etc., are studied to boost the usage of waste plastic in asphalt pavements. It is concluded that with the use of waste plastic in asphalt pavement, the quality of roads will be enhanced, and it will also be very beneficial for our environment. The other major advantage is that it will be very cost-effective for underdeveloped countries. Full article
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