All Outputs (3)

Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements (2022)
Presentation / Conference Contribution
Vasantha, G., Purves, D., Corney, J., Canavan, M., Quigley, J., & Sherlock, A. (2022). Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements. In Advances in Manufacturing Technology XXXV (187-192). https://doi.org/

Training novice production engineers to design manufacturing fixtures is a time-consuming process involving significant input from experienced experts. Motivated by the vision of providing an intelligent support system for general mechanical design,... Read More about Towards Predictive Design: Tracking a CNC Fixture Design Process to Identify the Requirements.

Lead time prediction with the Bosch production line dataset (2022)
Data
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. Lead time prediction with the Bosch production line dataset. [Dataset]

Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse (2022)
Journal Article
Vasantha, G., Purves, D., Quigley, J., Corney, J., Sherlock, A., & Randika, G. (2022). Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse. Artificial intelligence for engineering design, analysis and manufacturing :

This research envisages an automated system to inform engineers when opportunities occur to use existing features or configurations during the development of new products. Such a system could be termed a `predictive CAD system' because it would be a... Read More about Assessment of Predictive Probability Models for Effective Mechanical Design Feature Reuse.