Vijaykumar S Jatti – författare

The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.

The self-learning ability of machine learning algorithms makes the investigations more accurate and accommodates all the complex requirements. Development in neural codes can accommodate the data in all the forms such as numerical values as well as images. The techniques also review the sustainability, life-span, the energy consumption in production polymer, etc. This book addresses the design, characterization, and development of prediction analysis of sustainable polymer composites using machine learning algorithms.

Additive manufacturing has transformed industries by enabling complex designs, rapid prototyping, and customization. Advances in techniques such as SLS, FDM, and SLA, along with progress in materials science, have improved precision and performance. However, challenges in quality control—particularly interlayer bonding, porosity, and surface finish—persist. Efforts by organizations like ASTM International aim to establish standardization. Material selection remains critical, and scalability continues to limit widespread industrial adoption.Despite these challenges, additive manufacturing holds strong potential for large-scale applications. This book explores these issues and emerging solutions to advance the field.Key Features:Increasing adoption of additive manufacturing in mass production.Integrating additive manufacturing with other digital manufacturing technologies.Selecting suitable materials is paramount for successful additive manufacturing outcomes.Ensuring quality control in additive manufacturing.Standardization of additive manufacturing