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Combining Finite Element and Machine Learning Methods to Predict Structures of Architectured Interlocking Ceramics
Authors:Hossein Ravanbakhsh  Razyeh Behbahani  Hamidreza Yazdani Sarvestani  Elham Kiyani  Meysam Rahmat  Mikko Karttunen  Behnam Ashrafi
Affiliation:1. Department of Mechanical Engineering, McGill University, Montreal, Quebec, H3A 0C3 Canada;2. Department of Physics and Astronomy, The University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 3K7 Canada

The Centre for Advanced Materials and Biomaterials (CAMBR), The University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 5B7 Canada;3. Aerospace Manufacturing Technology Centre, National Research Council Canada, 5145 Decelles Avenue, Montreal, Quebec, H3T 2B2 Canada;4. Department of Mathematics, Middlesex College, The University of Western Ontario, London, Ontario, N6A 5B7 Canada;5. Aerospace Manufacturing Technology Centre, National Research Council Canada, 1200 Montreal Road, Ottawa, Ontario, K1A 0R6 Canada;6. Department of Physics and Astronomy, The University of Western Ontario, 1151 Richmond Street, London, Ontario, N6A 3K7 Canada

Abstract:
Keywords:interlocked ceramics  laser cutting  machine learning  thermal performance
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