The people of all ages are changing the way they live as technology advances, while younger people are experiencing more bone injuries from activity and accidents, seniors are still more prone to broken bones and joint issues. Biomaterials, which are natural or created materials such as titanium, nickel, cobalt, and stainless steel alloys, are used to repair damaged body parts. Stainless steel is a frequently utilized biomaterial due to its ready availability, reasonable price, and ease of shaping. However, it is susceptible to corrosion, suffers from wear, and doesn’t always interact well with the body; furthermore, its properties are considerably altered by the conditions within a human being. Corrosion is particularly dangerous for stainless steel biomaterials, as it releases harmful materials which could damage health and cause numerous serious complications. This analysis offers a thorough evaluation of how stainless steel biomaterials corrode, the specific difficulties with various stainless steel types, and methods to alter the surface of steel to improve durability, corrosion protection, compatibility with the body and how long an implant will last.
Electric vehicles’ (EVs’) accelerated expansion is changing transportation systems and making managing the charging infrastructure and power grid much more difficult. In order to handle issues like demand variations, charging congestion, grid instability, intermittent renewable energy, and cybersecurity risks, intelligent coordination techniques are needed. Through data-driven forecasting, predictive control, and automated decision-making, artificial intelligence (AI) has become a crucial enabling technology for optimizing EV charging networks. An organized and thorough analysis of AI methods used in intelligent infrastructure for EV charging is presented in this research. System architecture, operational difficulties, optimization techniques, deployment obstacles, and new research avenues are all methodically examined in this paper. To guarantee openness and repeatability, a PRISMA-based approach for choosing literature is used. The scalability and practical viability of major AI technologies are compared, including deep learning for predictive maintenance, optimization-based scheduling, machine learning for demand forecasting, and reinforcement learning in order for real-time charging control. Additionally, this assessment highlights important implementation gaps in the areas of economic modeling, cybersecurity integration, distributed intelligence, and standards. Future research avenues for secure, self-optimizing, and autonomous charging ecosystems are explored. Academics, system operators, and politicians working toward the widespread implementation of AI-enabled EV infrastructure can use the findings as technical assistance.
Pineapple Leaf Fibre (PF) is a highly promising natural reinforcing material for polymer composites, potentially substituting ramie fibre due to its equivalent characteristics. Objective of using nanofiller at polymer composites were improve their mechanical characteristics. Theoretically, integration of high-strength and high-stiffness nanofiller, specifically reduced graphene oxide (rGO), should yield enhanced composite characteristics. The primary obstacles in integrating this nanofiller are its inadequate aggregation and dispersion within epoxy, attributable to its elevated the robust Van der Waals forces and surface area between rGO layers. This research employed an effective functionalization approach to promote the dispersion of rGO and introduced zinc oxide filler to improve the shear mechanism of platelets. The highly dispersive zinc nanospheres were incorporated into the tactoid shape of stacked rGO nanosheets to generate significant shear pressures during milling and facilitate the exfoliation of rGO. Hybrid nanofiller-altered epoxy polymers was infused at PF assess mechanical charcteristics of PFRP system by compression, drop-weight, tensile, flexural, and impact tests. The synergistic effect of zero-dimensional zinc oxide and two-dimensional rGO nanoplatelets improved the mechanical properties of PFRP, particularly in Pineapple Leaf Fibre + 1 wt
Natural fibers have become a viable substitute for traditional synthetic fibers at composites owing to equivalent mechanical qualities, economic efficiency, environmental durability, and high strength ratio. The primary objective of study were analyze and evaluate mechanical characteristics of composites from natural agave americana and sisal fibers. The feasibility of the fibers as alternatives to aramid, carbon fibers or glass, was assessed. Subsequent to hand lay-up, their tensile and flexural strengths, as well as impact, was assessed using mechanical test. The incorporation of sisal (30
The utilization of fiber-reinforced composite materials is increasingly prevalent in the aerospace, structural and automotive industries, owing to lightweight characteristics. This research evaluates tamarind seed shell powder (TSSP) reinforced Waru bark-Banana pseudostem (WBBP) fiber composites, fabricated using compression molding. TSSP was incorporated at weight ratios of 0, 2, 4, 6, and 8 wt
