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Artificial intelligence is intelligence revealed by software, as opposed to natural intelligence. It is the science and technology of intelligent machinery. It is also a technology that functions like people on the computer. The IoT Internet of Things is a web-based object network that can communicate and share data. AI and IoT are combined to achieve a more effective IoT process, namely AIoT, combined with the Internet and artificial intelligence. Recently, an efficient health care system was introduced with artificial intelligence (AI) and IoT research. In this paper, the usability of artificial intelligence is discussed, and the implementation of AI and IoT analytics are systematically examined as a way of enhancing the health system in the IoT model. Different AI-based and device algorithms are also explored. Edge Computing is a modern computer technology in which data are processed from the edge. Simulation result shows the accuracy, precision and specificity of decision tree approach than SVM and Naive Bayes. It offers lower bandwidth costs, more robust privacy and data security than cloud computing. Notably, advanced computing is easily used by artificial intelligence technologies.

A cable reel drum (CRD) from a hot-rolled slab lifting crane failed due to the breakage of the cable reel flat springs inside the spring cassette. The CRD is used for the movement of the tong cable, along with upward and downward movement of the crane hook. Stereoscopic observation revealed beach marks, and scanning electron microscopy showed striations confirming fatigue mode of failure. The springs should have been made of spring steel (Cr–Mo–V) as per IS 3431:1982 instead of a C–Mn steel. To find the reason of fatigue failure, the theoretical fatigue life of the flat spiral spring has been calculated. The calculation of number of fatigue cycles included bending moment, maximum stress on the spring, ultimate tensile strength and alternating stress. With all the required data, the calculated fatigue life turned to be ~9000 cycles, but the springs served 15,000 cycles, which clearly indicated beyond fatigue life usage. Different UTS values have been plotted with respect to number of fatigue cycles and clearly showed that the increase in UTS increases fatigue life. Higher UTS can be obtained by modifying the spring steel chemistry and by ensuring a proper tempered martensite microstructure. Field failures can be easily avoidable by changing the crane spring maintenance schedule from 2 years to 1.2 years, considering 600 cycles per month. For a better life, spring steel in a hardened and tempered condition, with a hardness of minimum 480 HV, should be used.

This work deals with the compression energy absorption aspects of an open-cell nickel foam–natural rubber hybrid material. A comprehensive numerical analysis and elaborate experiments were the main tools used in this investigation. Open-cell nickel foam was analyzed as tetrakaidecahedron geometry. Inputs to the geometric dimensions were obtained by subjecting the nickel foam samples to x-ray micro-computed tomography (µCT) technique. A Mooney–Rivlin 2 parameter-based material model was implemented for the rubber part. Analysis was carried out using finite element-based commercial software ANSYS® with explicit dynamics as the chosen analysis scheme. During analysis, symmetry boundary conditions were applied considering each unit cell to be a mirror image of the adjacent cells. Static compression experiments were conducted on fabricated samples for validation of analysis with regard to energy absorption behavior. Scanning electron microscopy examination was carried out on hybrid samples both pre- and post-compression test for better understanding of compression mechanism. The compression energy absorption value of hybrid sample is significantly better than open-cell nickel foam and natural rubber values. The study clearly demonstrates interfacial bonds failure coupled with progressive deformation of foam cell ligaments as the main reasons for enhanced energy absorption during compression loading and presents the results quantitatively as a novel feature. In the end, the paper thoroughly compares the analysis and results in a critical way.