Titlebook: 2nd International Conference on Smart Sustainable Materials and Technologies (ICSSMT 2023); Smart Sustainable Ma M. Sumesh,João Manuel R. S

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M. Sumesh,João Manuel R. S. Tavares,Mario Orlando Discuss scientific results regarding smart sustainable materials.Increase your depth of understanding of Structure materials and applications.Enhances the reader‘s understanding of bio-inspired materi

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https://doi.org/10.1007/978-3-031-49826-8Smart Materials; Computational Materials Science; Adaptive Structural Stability; Intelligent Bio-inspir

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978-3-031-49828-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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https://doi.org/10.1007/978-3-662-61262-0the ANOVA result, the tool rotational speed is the best parameter to increase the hardness (88HV). The prediction of Hardness values can also be found by varying the input process parameter values through the ramp diagram. The optimized value of Hardness 70.9 is obtained for input process parameters

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https://doi.org/10.1007/978-3-662-61262-0oisson ratio, and in-plane and out-plane shear modulus of glass fibre hybrid composites by 0.95%, 7.12%, 6.44%, 2.66%, 2.47%, and 3.65% respectively. Furthermore, the electrical conductivity of these composites increased by 0.69% with the addition of 5 wt% graphene, compared to 1 wt% addition of gra

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https://doi.org/10.1007/978-3-662-61546-1for α-Fe.O. Nanoparticles (AIO-NPs) were a = b = 5.03421 Å and c = 13.746502 Å. The size of the particles was calculated from the XRD spectra with the help of Scherrer formula around 30 nm. Having increase in the annealing temperature phase transformation from magnetite (Fe.O.) to hematite (α-Fe.O.)