Artificial Intelligence in Additive Manufacturing, The future of manufacturing where artificial intelligence (AI) and additive manufacturing converge to revolutionize the production landscape. AI's data-driven insights and machine learning algorithms bring a new dimension to additive manufacturing processes, optimizing efficiency and precision. Through predictive maintenance, AI ensures the seamless operation of 3D printers by identifying potential issues before they arise, reducing downtime and enhancing productivity. Additionally, AI algorithms analyse design data to suggest optimizations, improving the manufacturability of complex components. This synergistic relationship between AI and additive manufacturing not only streamlines operations but also unlocks the full potential of this innovative technology, paving the way for a more intelligent and adaptive manufacturing ecosystem.
Title : A proposal of chemical sensor based on polycrystalline Cu2O nanofilm
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Plant-mediated synthesis of silver nanoparticles and zinc oxide nanoparticles and application of AgNPs for the development of antimicrobial biopolymer films in food packaging
Garva Anup Karmarkar, Vishwakarma Institute of Technology, India
Title : Thermodynamic analysis of a combined modified Kalina–GT-MHR cycle with porous medium effects
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Non-newtonian rheology on curved circular squeeze films using the Rabinowitsch fluid model
Rakesh Manilal Harjivandas Patel, Government Science College, Gandhinagar, India
Title : Ferrofluid mediated synthesis of nanomagnetic polymer materials in supercritical fluids
M G H Zaidi, G B Pant University of Agriculture & Technology, India
Title : Shape memory phenomena and twinning-detwinning reactions and crystallographic transformations in shape memory alloys
Osman Adiguzel, Firat University, Turkey