Titlebook: Recent Advances in Materials and Manufacturing; Proceedings of ISME C. V. Chandrashekara,N. Rajesh Mathivanan,K. Harih Conference proceedi

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Prediction of Hardness of Cast Iron Using Intelligent Tools,ents, making them valuable tools for materials science research. The model is trained using diverse data sources, including experimental data, published results, and foundry data. Subsequently, the trained model is employed to accurately predict the Brinell Hardness Number (BHN) of cast iron. The mo

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Study of Dry Sliding Wear Behaviour of Aluminium MMC,posite was harder than Al2219/1%Ni/1%B.C. Wear Analysis was performed using a Pin-on-Disc apparatus followed by Scanning Electron Microscopy. The wear test results show that Al2219/6%Ni/1%B.C composites have significantly higher wear resistance.

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Identification of Structural Damage Location and Severity Using Deep Learning,ge using deep learning algorithm. The natural frequencies are calculated using finite element software for both damaged and undamaged cases. In the damaged case, a crack has been introduced in an aluminium cantilever beam at twenty different locations with ten different sizes and the first five mode

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2195-4356 tionally graded materials. The book is useful for researchers and professionals working in the areas of manufacturing and materials engineering..978-981-97-3653-9978-981-97-3654-6Series ISSN 2195-4356 Series E-ISSN 2195-4364

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Prashant Kumar,Naveen Kumar Bankapalli,Vishal Gupta,Prateek Saxenaually associated with this complex subject. The book will help readers to discover diverse perspectives of statistical theory followed by relevant worked-out examples. Keeping in mind the needs of readers, as well as constantly changing scenarios, the material is presented in an easy-to-understand form..978-81-322-3421-0978-81-322-2514-0