A Textbook on Additive Manufacturing Technologies

✍ Scribed by Mohit Hemanth Kumar

• Publisher: Nova Science Publishers
• Year: 2024
• Tongue: English
• Leaves: 184
• Category: Library

✦ Synopsis

Embark on a comprehensive exploration of additive manufacturing technologies with this informative text. Commencing with a thorough foundational overview, the book systematically introduces readers to the intricacies of additive manufacturing processes. Beyond rudimentary concepts, it delves into the meticulous construction of fundamental machines, providing readers with a nuanced comprehension of the machinery underpinning this innovative field. An engaging aspect of the book is its in-depth examination of the role played by Artificial Intelligence (AI) in optimizing additive manufacturing processes. Offering profound insights, the text elucidates how AI applications fundamentally transform the manufacturing landscape, enhance operational efficiency, and extend the boundaries of what is achievable in contemporary manufacturing. The scope of the book extends beyond technical details to encompass the realm of innovative product development. Readers are invited to explore the convergence of design theories, customer-centric approaches, and sustainable practices, discerning these elements' pivotal role in shaping the manufacturing trajectory. A substantial focus is directed towards the strategic integration of reverse engineering and additive manufacturing. This section furnishes strategic insights into sustainable lifecycle management, providing readers with a strategic framework for navigating the future of these technologies. For those interested in advanced manufacturing techniques, the book thoroughly covers modeling, various production methods, and the intricacies of digital data processing. This comprehensive examination equips readers with a profound understanding of the latest advancements, preparing them to navigate the intricate landscape of modern manufacturing. This textbook stands as an invaluable resource for a student embarking on an exploration of additive manufacturing, a researcher seeking to deepen their knowledge base, or a professional in the fiel

✦ Table of Contents

Contents
Preface
Chapter 1
Introduction to Additive Manufacturing Technologies
Abstract
Introduction
Evolution of Additive Manufacturing
Inception of Additive Manufacturing (1980s-1990s)
Advancements in Materials and Processes (2000-2010)
Mainstream Adoption and Industrialization (2010-2015)
Consumer 3D Printing on the Rise (2010-2015)
Bioprinting and Electronics Advancements (2015-2020)
Current Situation and Prospects (2020-Present)
Additive Manufacturing Process Chain: From Design to Production
Design and Computer-Aided Design (CAD) Modeling
File Preparation and Slicing
Material Selection and Preparation
Post-Processing
Process Classification in Additive Manufacturing
Classification Based on Applications
Future Considerations and Emerging Trends
Additive Manufacturing Design Principles and Process Selection
Applications of Additive Manufacturing Technology: Transforming Industries
Space Exploration
Defense and Military
Architectural Models
Part Pre- and Post-Processing in Additive Manufacturing Technologies
Future Directions of Additive Manufacturing Technologies
Certification and Standards: Industry-Wide Standards
Conclusion
References
Chapter 2
Construction of Basic Machines in Additive Manufacturing Technologies
Abstract
Introduction
Energy Delivery, Material Delivery, Nozzle, and Heating Systems in Additive Manufacturing Technologies
Material Delivery Systems
Nozzle Systems
Heating Systems
Optical and Optoelectronic Components in Additive Manufacturing Technologies
CNC and Process Controller in Additive Manufacturing Technologies
Environmental Control Systems in Additive Manufacturing Technologies
Rapid Tooling Equipment in Additive Manufacturing Technologies
Rapid Tooling Applications
Conclusion
References
Chapter 3
AI Applications in Optimizing Additive Manufacturing Process
Abstract
An Overview of Additive Manufacturing and Artificial Intelligence
Data Collection and Sensing in AI-based Additive Manufacturing
Data-Driven Design Approaches in AI
Design Optimization Applications
Material Optimization
Process Parameter Optimization
Predictive Maintenance
Conclusion
References
Chapter 4
Innovative Product Development: Bridging Design Theories, Customer-Centric Approaches, and Sustainable Practices
Abstract
Introduction
Modern Product Development and Design Theories
Process Tools
Understanding Customer Needs
Product Function
Tear Down and Experimentation
Key Testing Methodologies
Importance of Calibration and Traceability
Product Portfolio and Architecture
Generating Concepts and Selection
Modelling of Product Metrics
Robustness and Environmental Design
Quantifying Additive Manufacturing’s Sustainability
Designing Robust and Resilient Components
Ensuring Repeatability and Reliability
Lifecycle Considerations for Closed-Loop Systems
Conclusion
References
Chapter 5
Integrating Reverse Engineering and Additive Manufacturing: Strategies for Sustainable Lifecycle Management and Future Technologies
Abstract
Introduction
Need for Life Cycle Management
Life Cycle Phases
Strategies
Integration of Environmental Aspects
Life Cycle Assessment Techniques
Technology Forecasting
Conclusion
References
Chapter 6
Advanced Manufacturing Techniques: Modeling, Production Methods, and Digital Data Processing
Abstract
Introduction
Process Modelling
Machine Learning and Digital Twin
Direct and Indirect Method of Production
3D Data Capture and Processing
Image Processing Software
MIMICS Software
Medicine Modelling
Planning and Simulation of Complex Surgeries
Design and Fabrication of Customized Implants and Prosthesis
Design and Production of Medical Devices
Criteria for Medical Models When Made Using Additive Manufacturing
Forensic Science and Anthropology
Visualization of Biomolecules and Organ Printing
Automotive Industry
Conclusion
References
Index
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