This study extensively explored the impact of integrating waste tire rubber into high-performance concrete (HPC) by substituting natural sand. Different fractions of rubber particles—5%, 10%, and 15% replacements of the fine aggregate—were rigorously investigated. Properties from fresh to hardened concrete were assessed, including compressive and tensile strength, modulus of elasticity, workability, and damping coefficient. Replacing up to 10% of sand with 0.6 mm rubber particles showed minimal strength compromise compared to standard HPC. However, at a 15% replacement rate, a noticeable decline in strength became evident, highlighting an optimal threshold for inclusion. Additionally, rubber incorporation notably enhanced concrete ductility and damping, marking a substantial improvement in dynamic properties. Efforts to offset strength reduction through increased fines content and mineral admixture could not counteract the decline at the 15% replacement level, suggesting limitations in compensatory measures. Methodological refinements enhanced data accuracy, including capping and surface treatments during compression testing. The study underlined the viability of controlled rubber substitution for bolstering HPC's dynamic attributes. Despite strength reductions at higher replacement rates, controlled waste tire rubber integration proves promising for enhancing HPC's dynamics without compromising structural integrity, advocating its suitability across diverse construction applications.

Steel fiber reinforced concrete (SFRC) offers improved toughness, crack resistance, and impact resistance. Nano-silica enhances the strength, durability, and workability of concrete. This study investigated the combined effect of nano-silica and steel microfibers, termed micro-concrete reinforced with steel fibers embedding nano-silica (MRFAIN), on the mechanical properties of concrete. The aim was to determine the influence of different percentages of nano-silica and steel microfibers on fresh state properties, mechanical strength, and mechanical performance of MRFAIN. MRFAIN mixtures were prepared with cement, sand, water, superplasticizer, varying dosages of nano-silica (0–2%), and steel microfibers (0–2% by volume). Mechanical properties evaluated at 28 days included compressive strength, flexural strength, modulus of elasticity, and fracture energy. Incorporating steel microfibers reduced workability but enhanced mechanical properties like strength and ductility. Nano-silica addition showed variable effects on compressive strength but increased tensile strength. Optimal nano-silica content was 1% and steel microfibers 2%, giving compressive strength 122.5 MPa, tensile strength 25.4 MPa, modulus of elasticity 42.7 GPa. Using nano-silica and steel, microfibers enhanced the mechanical performance of steel fiber-reinforced concrete. This shows potential for reducing construction waste and pollution. Further research can optimize the proportions of nano-silica and steel microfibers in MRFAIN.

This review investigates the recent advancements aimed at optimizing the mechanical performance of three‐dimensional (3D)‐printed polymer matrix composites (PMCs), motivated by the need to overcome the inherent limitations of additive manufacturing (AM) in achieving desired mechanical properties. The study focuses on two primary areas: (1) microstructural refinements through strategic control of parameters such as reinforcement type, size, orientation, and interfacial properties and (2) processing enhancements involving the modification of build parameters, material formulations, and posttreatments. The review systematically analyzes the interdependencies between microstructure‐property relationships and processing‐performance characteristics. Key findings include an improvement of up to 50% in strength and toughness through optimized microstructure and printing techniques, which are compared with results from other studies that reported a maximum of 30%–40% improvement under similar conditions. The review also highlights the successful application of these approaches in various case studies, demonstrating their potential to substantially enhance the dimensional control and functional properties of 3D‐printed PMCs, making them suitable for diverse applications ranging from aerospace components to flexible sensors. Despite these advancements, challenges such as performance consistency, part quality, and scalability remain, emphasizing the need for continued research to fully exploit the potential of 3D‐printed PMCs.

This study investigates challenges and solutions for India’s battery supply chain in the growing electric vehicle (EV) market. Key obstacles include raw material dependency, supply chain complexity, production costs, environmental impacts, rapid technological changes, and skilled workforce shortages. Methods involve reviewing current supply chains, evaluating government policies like the FAME and PLI schemes, and analyzing strategic partnerships with countries rich in lithium, cobalt, and nickel. Results show heavy reliance on imports exposes India to geopolitical risks and price volatility, while a fragmented supply chain hinders coordination and quality control. Establishing gigafactories is crucial but requires substantial investment. The study recommends enhancing domestic production, securing raw materials through exploration and international partnerships, investing in R&D for advanced technologies and alternative chemistries, and developing a skilled workforce through specialized training. Implementing these strategies will ensure a robust and sustainable battery supply chain, supporting EV market growth and positioning India as a leader in electric mobility. Further research should focus on long-term environmental impacts and the economic implications of a localized supply chain.

In this experimental and statistical investigation, Silver (Ag) nanoparticles with varying particle sizes of 20 nm with the base fluid of EG and DI water are tested to improve the heat transfer properties of the car radiator. The thermophysical properties are tested at temperatures varying from 35 to 75 °C. Results showed that small nanoparticles had higher thermophysical properties than large nanoparticles. The heat transfer properties along with friction factor characteristics are measured. A total of 20 nm of Ag has higher thermal transfer properties than other nanofluids; it can be concluded that smaller nanoparticles can improve thermal properties and minimize the radiator size compared to traditional coolants. A systematic optimized RSM-based architecture has been developed to define the quantitative estimate of the specific design parameters influencing nanofluid heat transfer properties and friction factor characteristics. Finally, correlations are developed for experimental Nusselt number and friction factor values by regression analysis.