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Volume 1 Issue 3 2024
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EDITORIAL
Unlocking the potential of digital twins in heating, cooling, and thermal energy storage technologies
Angelo Maiorino,
Fabio Petruzziello
International Journal of AI for Materials and Design 2024, 1(3), 1–3; https://doi.org/10.36922/ijamd.4532
(This article belongs to the Special Issue
Cooling, Heating, and Thermal Energy Storage Systems: Harnessing the Power of Digital Twins)
83 Download 4152 Views
REVIEW ARTICLE
Role of phase change materials and digital twin technology in thermal energy storage system: A review
Mohammad Waseem,
Mumtaz Ahmad,
G. Sree Lakshmi,
Areti M.S.V. Sushma, ... Mohammad Afazal
International Journal of AI for Materials and Design 2024, 1(3), 50–65; https://doi.org/10.36922/ijamd.4696
(This article belongs to the Special Issue
Cooling, Heating, and Thermal Energy Storage Systems: Harnessing the Power of Digital Twins)
131 Download 8354 Views
REVIEW ARTICLE
Examining the critical aspects of gas turbine blade failures caused by erosion using computational models: A comprehensive review
Surajit Mondal,
Shankha Shubhra Goswami
International Journal of AI for Materials and Design 2024, 1(3), 66–98; https://doi.org/10.36922/ijamd.5188
159 Download 9168 Views
ORIGINAL RESEARCH ARTICLE
CockpitGemini: A personalized design framework for smart vehicle cockpits integrating generative model-based multi-agent systems and human digital twins
Mengyang Ren,
Junming Fan,
Chunyang Yu,
Pai Zheng
International Journal of AI for Materials and Design 2024, 1(3), 4–19; https://doi.org/10.36922/ijamd.4220
153 Download 6807 Views
ORIGINAL RESEARCH ARTICLE
Prediction of wall geometry for cold-metal-transfer-based wire-arc additive manufacturing
Robin Kromer,
Eric Lacoste
International Journal of AI for Materials and Design 2024, 1(3), 20–32; https://doi.org/10.36922/ijamd.4285
(This article belongs to the Special Issue
AI Usage in the Analysis of the Additive Manufacturing Process)
268 Download 9395 Views
ORIGINAL RESEARCH ARTICLE
Layer porosity in powder-bed fusion prediction using regression machine learning models and time-series features
Vivek Mahato,
Suman Chatterjee,
Anesu Nyabadza,
Annalina Caputo,
Dermot Brabazon
International Journal of AI for Materials and Design 2024, 1(3), 33–49; https://doi.org/10.36922/ijamd.4812
(This article belongs to the Special Issue
AI Usage in the Analysis of the Additive Manufacturing Process)
154 Download 7416 Views