ITP Aero – Improving Melting Curves for Lost Wax Processes
ITP Aero
Sector: Industry
Business Case
The goal is to reduce defects in the final product by modifying the melting curves of the material ingots using data-driven models.
Objectives
Improve product quality.
Use case
Identify all parameters of the melting curves relevant to product quality. Collect and store melting curves and final part defect data. Construct ML models that correlate final defect occurrence with melting curve shapes. Infer necessary curve modifications to minimise final part defects.
Infrastructure
On Premise
Technology
Machine learning and deep learning
Data
Time series Private dataset
Resources
IT staff (2), process engineers (2), manufacturing technologists (2) and data scientists (2).
Difficulties and learning
Dirty or non-existent required data. Unbalanced samples (few defects). Collecting information from the machine. Complex process, combined work with process specialists is necessary.
KPIs (business impact and metrics of the model)
% defective parts
Funding
–
Collaborators, Partners
No
