Overview

Understand a new set of tools for incorporating additive manufacturing into design Additive Manufacturing, also known as 3D printing, is a method for building three-dimensional objects by layering materials. It has revolutionized every area of the manufacturing industry, permitting the rapid and precise fabrication of complex objects constructed of heterogeneous materials and with varied applications. The race is now on for design principles and technologies to keep pace with this explosive new manufacturing market. Design for Additive Manufacturing responds to this demand for new design methods with a thorough and cutting-edge overview. Beginning with fundamental principles of additive manufacturing, the book analyzes how decisions made at the design stage will impact the final product, before building out a comprehensive framework for understanding the interplay between additive manufacturing and design. The result is a must-have resource for students, researchers, and industry professionals alike. Design for Additive Manufacturing readers will also find: Tools for quickly identifying the most suitable design approach by which to incorporate additive manufacturing into a given project Detailed coverage of the latest trends in design for additive manufacturing, including data-driven design Examples and case studies highlighting different AM design methods Design for Additive Manufacturing is ideal for students and instructors in additive manufacturing courses, as well as mechanical engineers, designers, and researchers working with additive manufacturing elements.

Full Product Details

Author:   Yaoyao Fiona Zhao (McGill University, Montreal, Canada) ,  Yunlong Tang (Monash University, Melbourne, Australia) ,  Sheng Yang (University of Guelph, Ontario, Canada) ,  Guoying Dong (University of Colorado, Denver, CO, USA)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
ISBN:  

9781394168408

ISBN 10:   1394168403
Pages:   192
Publication Date:   29 April 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

Dedication Preface Acknowledgements List of Abbreviations About the Authors Chapter 1 – Introduction Additive Manufacturing Design for Additive Manufacturing (DfAM) Challenges and Future Directions of DfAM Chapter 2 – Engineering Design Process Design Function Analysis Concept Generation Geometric Modeling Detailed Design Computational Design Bridging the Gap: From Traditional Design to Design for Additive Manufacturing Chapter 3 – Design Conceptualization with Additive Manufacturing Introduction DfAM Worksheet Design Heuristic Cards Integrated DfAM Method Automated AM Candidacy Prediction Tools Multifunctional Bio-inspired Design Method Chapter 4 – Part Consolidation and Assembly-Level DfAM What is Part Consolidation? Literature Review The Holistic Part Consolidation Design Workflow Part Candidate Selection Functional-Entity–Based Fusion Emerging Trends in Part Consolidation and Assembly-free Design Chapter 5 – Manufacturing Constraints and Design Guides for Additive Manufacturing General Constraints and Guidelines for AM Design Guidelines for Polymeric AM process Design Guidelines for metal AM process Design Guidelines for other AM process Conclusions Chapter 6 – Topology optimization, structural optimization and multi-functional optimization Basic concepts of engineering optimization Structural and topology optimization for AM Multi-disciplinary Design Optimization for AM Reliability-based design optimization Conclusions Chapter 7 – Lattice structure design and simulation Introduction to lattice structures Design methodology for lattice structures Numerical simulation of lattice structures Lattice structure optimization approaches Design cases of lattice structures Bio-inspired lattice design Conclusion Chapter 8 – Advanced Topics in DfAM: Digital Materials and Emerging Paradigms Introduction to digital materials Fabrication of digital materials Multi-materials design Voxel printing design Fiber-reinforced composite design Summary Chapter 9 – Data-Driven and Machine Learning-Based Design for Additive Manufacturing Foundations of Data-Driven and Machine Learning-Based DfAM ML across DfAM workflow Cross-Cutting Strategies and Future Directions Index

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Author Information

YAOYAO FIONA ZHAO, PhD, is Associate Professor and William Dawson Scholar in the Department of Mechanical Engineering at McGill University in Montreal, Canada, where she established the Additive Design and Manufacturing Laboratory (ADML), one of the leading research laboratories in additive manufacturing. YUNLONG TANG, PhD, is a lecturer with joint appointments in the Department of Mechanical and Aerospace Engineering and the Department of Materials Science and Engineering, Monash University, Melbourne, Australia. He has worked extensively in research and development projects in Canada, China, Singapore, and Europe. SHENG YANG, PhD, is Assistant Professor at the University of Guelph, Ontario, Canada. He is a past recipient of the ACU Blue Charter Fellowship, the ASME DFMLC Best Paper Award, and the McGill Engineering Doctoral Award. GUOYING DONG, PhD, is Assistant Professor in the Department of Mechanical Engineering at the University of Colorado, Denver. His research focuses on the intelligent design and manufacturing of advanced materials and structures.

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