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Dr Oliver Vogt's Outputs (3)

Recursive autoencoder network for prediction of CAD model parameters from STEP files (2024)
Presentation / Conference Contribution
Miles, V., Giani, S., Vogt, O., & Kafieh, R. Recursive autoencoder network for prediction of CAD model parameters from STEP files

Databases of 3D CAD (computer aided design) models are often large and lacking in meaningful organisation. Effective tools for automatically searching for, categorising and comparing CAD models, therefore, have many potential applic... Read More about Recursive autoencoder network for prediction of CAD model parameters from STEP files.

Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition (2023)
Journal Article
Miles, V., Giani, S., & Vogt, O. (2023). Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition. Journal of Computational and Applied Mathematics, 427, Article 115166. https://doi.org/10.1016/j.cam.2023.115166

Machining feature recognition is a key task in the intelligent analysis of 3D CAD models as it represents a bridge between a part design and the manufacturing processes required for manufacture and can, therefore, increase automation in the manufactu... Read More about Approaching STEP file analysis as a language processing task: A robust and scale-invariant solution for machining feature recognition.

Recursive Encoder Network for the Automatic Analysis of STEP Files (2022)
Journal Article
Miles, V., Giani, S., & Vogt, O. (2023). Recursive Encoder Network for the Automatic Analysis of STEP Files. Journal of Intelligent Manufacturing, 34(1), 181-196. https://doi.org/10.1007/s10845-022-01998-x

Automated tools which can understand and interface with CAD (computer-aided design) models are of significant research interest due to the potential for improving efficiency in manufacturing processes. At present, most research into the use of artifi... Read More about Recursive Encoder Network for the Automatic Analysis of STEP Files.