This chapter emphasizes the significance of sustainable manufacturing processes in mitigating environmental impacts. It highlights strategies to reduce carbon footprints, improve operational efficiency, and enhance competitiveness. Important areas include renewable energy integration, energy efficiency measures, material efficiency, waste reduction, supply chain optimization, technological innovations, and best practices. Renewable energy sources like solar, wind, and hydroelectric power can reduce reliance on fossil fuels. Energy efficiency measures, such as equipment upgrades and energy-saving technologies, can lower operational costs. Material efficiency and waste reduction initiatives minimize resource consumption and waste generation. A circular economy can be promoted through recycling, reuse, and waste-to-energy programs. Sustainable manufacturing is promoted through technological innovations like 3D printing, IoT-enabled systems, and AI-driven optimization. Real-world case studies provide valuable insights.

The density of aluminum is around onethird that of steel or copper. This is one among the lightest metals currently available on the market. It is an essential

It is well-known that nanofluids differ significantly from traditional heat transfer fluids in terms of their thermal and transfer characteristics. Two of CO2 transfer characteristics, its thermal conductivity and its viscosity, are crucial to improved oil retrieval methods and industries refrigeration. By combining molecular modelling with various machine learning algorithms, this study predicts the conduction characteristics of iron oxide CO2 nanofluids. It is possible to evaluate the accuracy of these transfer parameter estimates by applying machine learning methods such as decision tree, K-nearest neighbors, and linear regression. Predicting these transfer qualities requires knowing the size, fraction of nanoparticle volume, and temperature. To determine the characteristics, molecular dynamics simulations are run using the large-scale atom Vastly equivalent simulant. An inter- and intra-variable Pearson correlation was established to confirm that the input variables were reliant on m and thermal conductivity. The results were finally confirmed by using statistical coefficients of determination. For a variety of temperature ranges, volume fractions, and nanoparticle sizes, the study found that the decision tree model was the best at predicting the transport parameters of nanofluids. It has a 99% success rate.

The single pass shell and multi-tube heat exchanger with double segmental baffles'’ performance improvement were experimentally investigated by two methods of air injection into shell side when an increase in air bubble created an effect in the corresponding values of shell and tube heat exchanger such as the overall heat transfer coefficient, effectiveness, NTU and the pressure loss. In the first method, air bubble injection into shell side was parallel to the cold water flow; also in the second method, air bubble injection into shell side was cross flow to the cold water with different air flow rates to calculate approximately the most favourable performance conditions. 1–6 LPM of air flow rates and 10–20 LPM shell side water flow rates were transformed with constant tube side hot water flow rate.

This study introduces a novel solar still design that stores energy in a PCM with the use of fins. Three distinct types of stills were considered for this study of the fin and energy storage unit. Type I stills were conventional type, whereas Type II stills added round hollow fins above the basin liner. As with Type II, Type III used fins in addition a PCM-packed energy storage unit located below the basin liner. Over the basin liner, fins were added to the absorber to increase its surface area. Experiments were conducted using all three types, with the water level in the basin maintained at 3 cm throughout. It was calculated that conventional solar still may produce up to 3.25 L per m2 per day. In contrast, Type II and Type III show increases in production of 17.54% and 48.61%, and 55.69%, respectively. In addition, modified solar still is proven to have a shorter pay-back period than conventional solar still.

Materials prepared using powder metallurgy route exhibit dimensional stability which is required to manufacture critical parts such as brake pads, inlet valves and nozzles. In this paper, composite materials consisting of 5 and 10 wt. % of Titanium-diboride reinforcement in AA6061 aluminium alloy was produced by the sintering process via green compaction. 2 wt. % of alumina was added as the secondary reinforcement to produce the hybrid composites. The produced composites and its hybrid were compared with the base material AA6061 to determine the changes in its density, wear and hardness. The green density and sintered density of the composites and its hybrids reduced by as much as 8.47 % compared to the respective theoretical density. Microscopic examinations showed that the addition of alumina with the Titanium-diboride reinforcement increased the wear resistance of the hybrid composites by 1.22 % compared to the base material. The hardness of the sintered composite increased with the addition of the two reinforcement materials. The hardness for the hybrid composite increased by 74.94 % compared to the base material. After wear test, the hardness of the base material reduced by 6.83 % but the hardness of hybrid composite having the highest composition of both reinforcement particles increased by 6.36 %. The study revealed that the sintering process and subsequent hardening of the composites and its hybrid enhance its hardness property compared to the base material. Interestingly, the wear which leads to the changes in its tribological properties increased the hardness property of the composite and its hybrid.