AutoFix Automated Design of fixtures

In Autofix we want to introduce automation based on multidisciplinary optimization (MDO) and machine learning (ML). AutoFix delivers methods and tools that automatically optimize resource-intensive fixture design using design automation (DA), MDO, and ML.

We want to enable the possibility of in-sourcing from low-wage countries by allowing more work to be carried out while maintaining engineering hours. Efficient knowledge management and standardization that facilitates engineering work, which frees up time that can be used for value-creating activities and thereby increase efficiency in product and production development and thereby strengthen companies competitiveness. Knowledge building in the area of digitization in general, and specifically how machine learning creates better decision support in product and production development.
The project consists of five main work packages (WPs), summarized below: WP1 To develop new methods for creating detailed CAD models and for configuring them. WP2: Exploring the design space in a new way and optimizing fixtures WP3. To generate patterns and CAD instructions automatically using ML algorithms based on data generated from the MDO process in WP2. WP4 The methods developed in WP1 to WP4 are evaluated against the current development process WP5 The results of the project are spread continuously to create a broad utilization