Ansys Korea announced that it held a seminar on industry-tailored simulation AI solutions at COEX in Samseong-dong, Seoul on the 22nd and shared AI application strategies based on engineering simulation.
This seminar, titled "How AI is Transforming the Engineering Environment, from Design to Operation," explored how the role and scope of simulation are expanding with the introduction of AI. It also highlighted changes in simulation processes across the entire product development cycle and highlighted key trends in the industrial field, focusing on real-world examples. Approximately 190 engineers and practitioners from diverse industries, including manufacturing, automotive, electronics, and healthcare, attended the event.
The event began with opening remarks by Padmesh Mandloy, ANSYS' Vice President of Customer Support Asia. He emphasized that the combination of AI and simulation is emerging as a key element of engineering innovation and outlined the direction of change required across industries.
In a subsequent presentation, Kang Tae-shin, Executive Director of ANSYS Korea, outlined the challenges facing the manufacturing industry in the era of digital transformation and introduced an end-to-end simulation platform-based approach that connects the entire process from product design to manufacturing. Through this, he presented a strategic direction for companies to simultaneously secure development speed and quality competitiveness.
Lee Min-wook, a professional at ANSYS Korea, shared meta-model-based design analysis and robustness assessment methods, focusing on design understanding and optimization workflows using ANSYS Optislang. The session also explored ways to improve design process efficiency through the application of simulation-based AI.
Taejin Kim, a professional at ANSYS Korea, presented a case study of data mining automation based on PyANSYS and metamodel construction using Optislang. He also explained the role of simulation in the data generation and preprocessing required for AI learning. This strategy was presented as a practical application strategy in industrial environments requiring large-scale data acquisition.
Onstream CEO Lim Young-taek then presented a plan to build a physics-based AI model by generating virtual learning data using simulation and integrating real-world data. He highlighted the practical applicability of combining simulation and AI, along with the practical challenges arising from data utilization in manufacturing settings.
ANSYS Korea's Yang Kyung-mo introduced a strategy for implementing near-real-time digital twins using reduced-order models and hybrid analytics, explaining a simulation-based approach that supports predictive design and rapid decision-making.
Lastly, ANSYS Korea Manager Lee Jeong-won shared a case study of building a hemodynamic prediction model based on 4D flow MRI data using ANSYS SimAI, suggesting the potential of utilizing AI that combines medical imaging data and simulation.
Through this seminar, ANSYS presented specific directions for how the combination of simulation and AI can be utilized in industrial settings, and announced plans to continue expanding the technology and ecosystem that supports engineering innovation across the entire cycle from design to operation.
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