9th Edition of
International Conference on Materials Science and Engineering
March 23-25, 2026 | Singapore
Artificial Intelligence in Additive Manufacturing
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.
Harry Ruda
University of Toronto, Canada
Stanislaw Dzwigaj
Sorbonne University, France
Piotr Gebara
Czestochowa University of Technology, Poland
M G H Zaidi
G B Pant University of Agriculture & Technology, India
Alain Portavoce
IM2NP/CNRS, France
Silvie Maria Tanu Halim
McMaster University, Canada
An Yi Chang
University of California San Diego, United StatesSubmit your abstract Today
Title : Application of vanadium and tantalum single-site zeolite catalysts in heterogeneous catalysis
Stanislaw Dzwigaj, Sorbonne University, France
Title : Developing novel sensing platforms using nanostructures
Harry Ruda, University of Toronto, Canada
Title : Solid state UV cross-linking for advanced manufacturing
Huang WM, Nanyang Technological University, Singapore
Title : The effect of substitution of Mn by Pd on the structure and thermomagnetic properties of the Mn1−xPdxCoGe alloys (where x = 0.03, 0.05, 0.07 and 0.1)
Piotr Gebara, Czestochowa University of Technology, Poland
Title : Evaluation of mineral jelly as suitable waterproofing material for ammonium nitrate
Ramdas Sawleram Damse, HEMRL, India
Title : The role of tunable materials in next-gen reconfigurable antenna design
Nasimuddin, Institute for Infocomm Research, A-STAR, Singapore