Session: DAC-03-01-Novel AI or ML Frameworks for Design or Systems Science

Paper Number: 88971

88971 - Automated and Customized Cad Drawings by Utilizing Machine Learning Algorithms: A Case Study 

This paper describes a methodology for automation of measurements in Computer-Aided Design (CAD) software by enabling the use of supervised learning algorithms. The paper presents a proof of concept of how dimensions are placed automatically in the drawing at predicted positions. The framework consists of two trained neural networks and a rule-based system. Four steps compound the methodology. 1. Create a data set of labeled images for training a pre-built convolutional neural network (YOLOv5) using CAD automatic procedures. 2. Train the model to make predictions on 2D drawing imagery, identifying their relevant features. 3. Reuse the information extracted from YOLOv5 in a new neural network to produce measurement data. The output of this model is a matrix containing measurement location and size data. 4. Convert the final data output into actual measurements of an unseen geometry using a rule-based system for automatic dimension generation. Although the rule-based system is highly dependent on the problem and the CAD software, both supervised learning models exhibit high performance and reusability. Future work aims to make the framework suitable for more complex products. The methodology presented is promising and shows potential for minimizing human resources in repetitive CAD work, particularly in the task of creating engineering drawings.

Presenting Author: Javier Villena Toro Linköping University

Presenting Author Biography: Javier Villena Toro, born on 14-09-1995, is a junior researcher that started his Ph.D. studies in September 2021. After completing 4 years of Aerospace Engineering Bachelor at Universidad Politecnica de Madrid, Spain, he moved to Sweden to start a 2 years Master Programme in Aeronautical Engineering at Linköping Universitet. Later on, he decided to start his superior studies at the division of Product Realization in Linköping. His area of expertise is Design Automation and he is researching to couple Machine Learning with this discipline.

Authors:

Javier Villena Toro Linköping University
Mehdi Tarkian Linköping University