Applications Of Artificial Intelligence In Additive Manufacturing
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Applications of Artificial Intelligence in Additive Manufacturing
After the recent launch of home-based personal 3D printers as well as government funding and company investments in advancing manufacturing initiatives, additive manufacturing has rapidly come to the forefront of discussion and become a more approachable lucrative career of particular interest to the younger generation. It is essential to identify the long-term competitive advantages and how to teach, inspire, and create a resolute community of supporters, learners, and new leaders in this important industry progression. Applications of Artificial Intelligence in Additive Manufacturing provides instruction on how to use artificial intelligence to produce additively manufactured parts. It discusses an overview of the field, the strategic blending of artificial intelligence and additive manufacturing, and features case studies on the various emerging technologies. Covering topics such as artificial intelligence models, experimental investigations, and online detections, this book is an essential resource for engineers, manufacturing professionals, computer scientists, AI scientists, researchers, educators, academicians, and students.
Additive Manufacturing with Medical Applications
"This reference text introduces latest technologies in the field of additive manufacturing and their applications in medical field. It will serve as a useful text for graduate students and academic researchers in the fields of industrial engineering, manufacturing science, and mechanical engineering"--
Barriers to Adoption of Artificial Intelligence in Metal Additive Manufacturing
Artificial intelligence (AI) is poised to significantly impact metal additive manufacturing (AM). Understanding how one might use AI in AM is challenging because AM experts are not AI experts, nor the other way around. This document introduces AI in AM and guides researchers in accessing relevant literature. It also discusses the hype surrounding AI in AM, the rush to publish peer-reviewed papers that use AI in AM, and the resulting uneven quality of the literature. Conclusions regarding the application of AI in both large and small enterprises are discussed. This document is intended to help illuminate AI in AM for Hands-on engineers who need to quickly understand what levels of problems they might encounter when dealing with AI in AM Engineering managers who need to stay current on emerging trends in their technical realm of responsibilities Policymakers who may not have the relevant technical expertise Faculty and students who want an introduction to AI in AM ISBN 9781468609219 ISBN 9781468609226 https://doi.org/10.4271/EPR2025001