1. Generative Design Automation:
• AI helps automate the design process, generating multiple optimal design options based on input parameters such as materials, costs, and intended use.
• For example, Generative Design uses AI to develop lighter and more sustainable structures.
2. Predictive Analytics:
• Based on data from sensors and IoT systems, AI can predict failures or problems before they occur.
• Applied in technical equipment maintenance (Predictive Maintenance), helping to reduce downtime and repair costs.
3. Simulation and optimization:
• AI assists in simulating real-world conditions and optimizing designs to minimize physical testing.
• For example, AI combines with simulation software such as Simufact to optimize welding or manufacturing processes.
4. Intelligent Robots and Automation:
• AI-powered robots are capable of learning and performing complex engineering tasks, from manufacturing to assembly.
• For example, AI robots in production lines can self-adjust operations based on real-time data.
5. Big Data and IoT:
• Combining AI with IoT helps collect, analyze, and use data from technical devices to make optimal decisions.
• For example, in the energy industry, AI analyzes data from sensors to optimize power plant performance.
Supporting engineers in training and testing:
• AI creates virtual environments for engineers to practice, test their skills, or test engineering solutions.
• AI systems support product quality testing in manufacturing by detecting errors that are difficult for the human eye to detect.
