Tillämpning av artificiell intelligens inom mekanisk konstruktion

Sammanfattning

The increasing availability of large language models and AI-based development tools has openednew possibilities for integrating artificial intelligence into engineering workflows. This thesis investigateshow AI can be applied as a support tool in a CAD-based design process, with focus ongeometry generation, automated assembly operations, and component dimensioning. The studywas conducted through a practical implementation in Autodesk Fusion, where an AI agent in thedevelopment environment Cursor was connected to the CAD system via a Model Context Protocolserver, enabling direct interaction between the AI agent and the CAD environment.The results demonstrate that AI-assisted CAD workflows are practically feasible and can contributeto increased efficiency in well-defined and recurring design tasks. However, the reliability of AIgeneratedresults was found to be highly dependent on the clarity of user instructions, and manualverification remained necessary throughout the process. A key finding is that the time required toverify AI-generated outputs in many cases exceeds the time savings gained through automation,particularly for more complex tasks. For AI-based CAD workflows to become genuinely competitivewith traditional methods, model reliability must improve to a level where users can trust generatedresults without reviewing each step individually. The study concludes that while AI holds significantpromise for the future of CAD-based engineering, its full potential is contingent on continuedimprovements in both model quality and cost-effectiveness