Soft computing tool (intelligent techniques) for nanorefrigerants and nanolubricants

The current study explores the use of soft computing tools (intelligent approaches) in the field of nanorefrigerants and nanolubricants. The use of nanotechnology in refrigerants and lubricants has attracted significant attention due to the rising need for efficient and ecologically friendly cooling and lubricating systems. Artificial intelligence and machine learning algorithms, for instance, provide interesting options for enhancing the performance and features of these sophisticated fluids. The chapter reviews nanotechnology’s influence on refrigerants and lubricants, emphasizing their better heat conductivity, lubricating qualities, and friction reduction. It then looks into applying soft computing technologies like fuzzy logic, neural networks, genetic algorithms, and evolutionary computing to improve the formulation and performance of nanorefrigerants. Intelligent approaches allow effective forecasting and management of critical attributes such as thermal conductivity, viscosity, as well as flow behavior, resulting in improved energy economy and system efficiency. Furthermore, soft computing techniques allow for the design and production of customized refrigerants and lubricants depending on particular application requirements, like those found in automotive, aerospace, and industrial systems. The chapter also highlights contemporary breakthroughs and research trends in the subject, like nanomaterial integration, optimization algorithms, and hybrid intelligent systems. It emphasizes the ability of soft computing methods to overcome obstacles in the design, evaluation, and application of nanorefrigerants and nanolubricants. Overall, this chapter offers useful insights into the use of soft computing tools and intelligent methodologies to produce effective and sustainable cooling and lubricating systems based on nanorefrigerants and nanolubricants. It is a comprehensive reference for academics, engineers, and practitioners passionate about advancing nanotechnology in thermal management and lubrication applications by utilizing the potential of intelligent systems.