Haresh Malkani interviews Dr. Satich Bukkapatnam of Texas A&M University. The topic is Intelligent Machine Tools for Smart Manufacturing. This video will be of interest to machine tool manufacturers, system integrators in the machine tool and additive manufacturing arena. The Texas A&M group is broadly focused on Smart Manufacturing and data science in the markets of automotive, aerospace, and micro electronics.


3:50 – Why we need intelligent machine tools
4:15 – Transformation of manufacturing is happening
6:00 – Manufacturing transitioning to As-a-Service
9:00 – Focus on equipment capability
9:40 – Is the equipment reliable
– Is product quality meeting expectations
13:00 – IT and OT must come together to characterize manufacturing capability
14:50 – A smart machine tool delivering multi functions
16:00 – Sensorizing machine tools and adding data collection
– Sensor Fusion – Taking related signals and combining for a conclusion
20:00 – Combining domain knowledge with sensor data to improve manufacturing
22:00 – Camera technology is inexpensive and can deliver a wide variety of data
26:00 – Domain experts are key to driving machine learning – interpretation of results for the ML – adding context.
28:00 – Unsupervised ML learning method
29:00 – Graph representation of image data
30:00 – identifying the usual patterns and differentiating from unusual
32:00 – Analysis needs to be performed at the machine and in real-time
33:30 – Processing can also be cloud based for QA after manufacturing
35:00 – Real-time imaging is possible now for defect detection
– Asset Management with Information Fusion
– Plant Floor Platforms will grow at 6.5% to $322 billion by 2024
41:00 – Manufacturing monitoring at an Automotive Plant
42:00 – Historical data can be used to predict machine failures and timing
43:00 – Predictions from 30 minutes to 500 minutes to failure
44:00 – Hazardogram breakdown prediction
48:00 – Summary – benefits of intelligence in machines and layered machine learning
49:00 – will have greater flexibility when we can leverage small and medium manufacturers with manufacturing as a service capabilities.