ADVANCED MATERIALS & PROCESSES | SEPTEMBER 2024 16 Additive manufacturing (AM) has transformed the manufacturing landscape exponentially. The process begins with creating a digital model using computer-aided design (CAD), slicing it into thin layers, and converting these layers into printable instructions for AM equipment. Using a diverse array of base materials including polymers, metals, ceramics, THE EMERGING ROLE OF AI IN CERAMIC ADDITIVE MANUFACTURING The integration of artificial intelligence for predictive modeling and adaptive learning allows manufacturers to achieve unprecedented levels of efficiency and precision in ceramic AM products. Bhargavi Mummareddy,* Dimensional Energy, Ithaca, New York Kalyan Immadisetty, St. Jude Children’s Research Hospital, Memphis, Tennessee *Member of ASM International rapid prototyping and customization, AM gained quick popularity. It has become indispensable across sectors including aerospace, automotive, health- care, and consumer goods, fostering innovation and efficiency in product development and manufacturing. The capability to iterate designs swiftly and reduced time-to-market has established AM as a cornerstone of and composites, AM techniques fuse materials through either binder or en- ergy application, marking a significant leap over traditional manufacturing methods. Due to the substantial advantages of AM technologies compared to traditional manufacturing methods including unmatched precision in creating intricate geometries, material waste reduction, and facilitation of Fig. 1 — Applications of ML in additive manufacturing[1]. Shown are some of the ML techniques and how they can be adopted to harness the printing process.
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