Additive Manufacturing Process Planning

This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.

Current market trends have resulted in the need for more efficient and robust manufacturing paradigm. Additive manufacturing (AM) can fabricate parts directly from digital models. Thus it can significantly shorten product development cycle while satisfying customized design requirements. However, compared with traditional manufacturing process, AM process also have disadvantages. Many researchers have extensively studied some critical processes and proposed novel solutions to improve the process. However, all these process planning methods are still mainly based on trial and error. This book, therefore, investigated the main principles and key techniques of AM process, formulated predicative mathematics models, proposed various optimization approaches and conducted simulation and physical experiments for verification. The proposed method can fundamentally and efficiently improve the AM process constrained by the current technique conditions. This research work should be useful to professionals in advanced manufacturing especially additive manufacturing fields, or anyone else who are interested in process modeling, optimization and simulation.