Published Paper Details:

The application of big data processing, artificial intelligence, and advanced robotics technology, as well as their interconnectivity, to improve industrial performance and optimize energy consumption, is known as smart manufacturing. Analyzing advanced materials' characteristics and behaviours to optimize their performance in manufacturing processes is part of defining them for smart manufacturing. For materials to be developed that can react, adjust, or self-optimize in real-time during production, this characterization is essential. In this paper, the idea of "advanced materials for smart manufacturing" is defined, its characteristics are discussed, its current implementation status is stated, the difference between the current manufacturing system and the anticipated future smart manufacturing system is analyzed, and the related technologies and their contributions to smart manufacturing technology are discussed. Additionally, important methods and elements of the characterization of innovative materials for smart manufacturing were discussed, along with potential, implementation issues, and future directions. To guarantee that materials satisfy the demanding requirements of contemporary production settings, characterization of new materials for smart manufacturing necessitates the use of an extensive range of methodologies. Through the application of these characterization techniques, producers can create and employ materials that improve productivity, effectiveness, and creativity in intelligent manufacturing systems.