Gurminder Singh – författare

4D Printing of Composites: Methods and Applications provides comprehensive coverage of the theory behind this emerging technology, its impact on materials development, functional characterization, and the technical details required for readers to investigate novel emerging applications. The advantages and limitations of the technology are discussed in detail as well as laboratory developments, industrial implications, commercialization, and avenues for future development. The book will be a valuable reference resource for academic and industrial researchers working in materials science, mechanical engineering, and product design and those working in composite materials development and manufacturing engineering in various industries.

Provides in-depth technical discussion on the mechanisms of 4D printing for compositesCovers 4D printing process modelling and optimizationIncludes mathematical/simulation studies of composite 4D printingExamines multi-material 4D printing of different composite materialsDiscusses 4D printing features of developed industrial products and their characterization

Machine Learning for Powder-based Metal Additive Manufacturing outlines machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costs. The book combines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applications. The book covers ML for design in AM, ML for materials development and intelligent monitoring in metal AM, both geometrical deviation and physics informed machine learning modeling, as well as data-driven cost estimation by ML.In addition, optimization for slicing and orientation, ML to create models of materials for AM processes, ML prediction for better mechanical and microstructure prediction, and feature extraction by sensing data are all covered, and each chapter includes a case study.

Covers machine learning (ML) methods for additive manufacturing (AM) of metals that will improve product quality, optimize manufacturing processes, and reduce costsCombines ML and AM methods to develop intelligent models that train AM techniques in pre-processing, process optimization, and post-processing for optimized microstructure, tensile and fatigue properties, and biocompatibility for various applicationsDiscusses algorithm development of ML for metal AM, metal AM process modeling and optimization, mathematical and simulation studies of metal AM, and pre- and post-processing smart methods for metal AM

Handbook of Post-Processing in Additive Manufacturing is a key resource on postprocessing treatments available for additive manufactured products. It provides broad coverage of the theory behind emerging technology, material development, functional characterization, and technical details required to investigate novel applications and methods and put them to use.The handbook presents experimental breakthroughs of novel methodologies that treat additively manufactured parts, which are suitable for demanding engineering applications. This handbook emphasizes the various types of post-processing technologies that can effectively eliminate the inferiorities of additively manufactured components. It also provides a collection of key principles, literature, methodologies, experimental results, case studies, and theoretical aspects of the different types of postprocessing techniques, along with different classes of materials and end-applications.This book is an ideal reference for libraries and post-graduate courses as well as the professional market, including, but not limited to manufacturing, mechanical and industrial engineering, and materials science.

Handbook of Post-Processing in Additive Manufacturing is a key resource on postprocessing treatments available for additive manufactured products. It provides broad coverage of the theory behind emerging technology, material development, functional characterization, and technical details required to investigate novel applications and methods and put them to use.The handbook presents experimental breakthroughs of novel methodologies that treat additively manufactured parts, which are suitable for demanding engineering applications. This handbook emphasizes the various types of post-processing technologies that can effectively eliminate the inferiorities of additively manufactured components. It also provides a collection of key principles, literature, methodologies, experimental results, case studies, and theoretical aspects of the different types of postprocessing techniques, along with different classes of materials and end-applications.This book is an ideal reference for libraries and post-graduate courses as well as the professional market, including, but not limited to manufacturing, mechanical and industrial engineering, and materials science.

In today's society researchers are more focused on cleaner materials production for environmental sustainability. This approach aims at reducing waste and the development of materials with enhanced properties and functionality. This book focuses on optimizing manufacturing processes for sustainable composite materials. It discusses optimum utilization of resources by using minimum effort to save cost and energy.