Green manufacturing represents a pivotal shift in industrial practices, aimed at harmonizing economic growth with environmental stewardship. This chapter delves into the core principles and drivers behind green manufacturing, exploring how they collectively foster a more sustainable industrial...

This chapter touches upon the incorporation of such computational intelligence in the context of sustainable manufacturing of advanced materials from both present context and future prospect. The material creation framework depends on fundamental ideas, tools and techniques for producing...

The advent of new materials offers promising solutions for enhancing energy storage systems, improving energy efficiency, and mitigating environmental impacts. These advanced materials are characterized by their unique properties, which enable them to address the limitations of conventional...

Bio-based materials are those materials which are taken either wholly or partly from bio-based materials, e.g., plants & microorganisms. These materials can be distinguished by their renewability & some measure of carbon capture during their growth. They are gradually becoming famous as a viable...

Metallic NPs, particularly (AuNPs), have attracted great attention due to their unique characteristics and applications. NPs have unique surface qualities as compared to bulk substances, including diagnostics and medicine administration. Therapeutic plant extracts exhibit stability, making them...

In recent years, there has been a growing demand for development of eco-friendly material for long-lasting, lightweight, superior strength and fire retardant. This drawn the researchers to use various natural fiber as a reinforcing agent in a matrix material. The use of bio-fibers as...

The demand for sustainable energy storage has driven advancements in material science, where Computational Intelligence (CI) is emerging as a key tool. CI techniques like machine learning and neural networks optimize complex processes, enhancing material properties and manufacturing efficiency....

The chapter studies the use of AI-driven optimization to apply methods of sustainable manufacturing based on the scenario of eco-efficient production of advanced materials. It also shows how AI methods could be used, including machine learning and optimization algorithms, to increase the...

The chapter is focused on integrating machine learning and computational intelligence into green manufacturing processes. ML and CI offer data-driven solutions toward industries strive for reduced environmental impacts through resource usage, energy consumption, and waste reduction, among...

Intelligent manufacturing systems focus on enhancing product quality while reducing production costs through the optimization of process parameters. Researchers have faced various challenges in engineering design and process optimization, prompting the development of two variants of the...