Duration 53:43

CESMII Nth Degree of Smart Manufacturing Smart Machines and the future of Manufacturing as a Service

Published 29 Mar 2021

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 group is broadly focused on Smart Manufacturing and data science in the markets of automotive, aerospace, and micro electronics. Contents 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 10:30 - 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 19:00 - 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 38:00 - Asset Management with Information Fusion 39:00 - 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.

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