Sensors, Data and HPC, the Untapped and Rapidly...

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Sensors, Data and HPC, the Untapped and Rapidly Approaching Opportunities for Manufacturing Thomas R. Kurfess, Ph.D., P.E. HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control Woodruff School of Mechanical Engineering Georgia Institute of Technology Atlanta, Georgia USA

Transcript of Sensors, Data and HPC, the Untapped and Rapidly...

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Sensors, Data and HPC, the Untapped and Rapidly Approaching Opportunities

for Manufacturing

Thomas R. Kurfess, Ph.D., P.E. HUSCO/Ramirez Distinguished Chair in Fluid Power and Motion Control

Woodruff School of Mechanical Engineering Georgia Institute of Technology

Atlanta, Georgia USA

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Why Manufacturing Matters

! Conducts 70% of US R&D, 90% of patents issued ! Close connection between R&D, design, and manufacturing ! Health of industrial commons (know how, process engineering

capability, workforce skills, suppliers) ! Manufacturing multiplier ($1.40 for $1 of manufacturing output) ! Critical for national security

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Some Key Terminology

! Internet of things (IoT) –  Linking everything together

! Industrial Internet –  Linking everything in industry together

! Big Data –  Lots of data and they are free (sort of)…

! Industry 4.0 –  4th Industrial Revolution

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Common Connections via Standards Enable…

Information: verifying simulation with REAL data Utilization, OEE, consumable needs, maintenance, quality/inspection results…

Improved Management: Scheduling, process sequencing (macro planning), process variables (microplanning), CAM programs, facilities, tooling, quality metrics, rates, cost, plant wide integration, asset management…

Data: Sensor-based status, failures/faults, process/tooling/machine, energy, quality data/inspection output…

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Connectivity / Big Data – Overview

! Machine monitoring ! Operational visualization ! Data utilization ! Ease of implementation ! Leveraging open options

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Simple Cloud Architecture for Manufacturing

6

WebServer

BusinessLogic Database

Web Page

Machine Data

Cloud Services

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Separate Data Capture – Fog Computing

! High frequency data acquisition –  Analog, digital, serial

! Embedded computing platforms –  Arduino –  Beaglebone –  Raspberry Pi

! Computation performed on embedded device –  Transmit data in MTConnect format to agent –  Interface directly with database

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Data Storage: Enterprise Cloud Solutions ! Amazon Web Services (AWS)

–  Send data to the cloud database using HTTP post –  Easy management of the database –  Webpage hosting –  Real time data

! Database Server Storage Costs –  10 GB can store ~200 million records –  $0.10 per GB-month storage costs –  10 GB storage is $1/month (+ server)

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Data Storage and Analysis: Google Sheets

! Google Apps Scripts –  Allows publishing data to Google Sheets –  Capable of getting data from online machines –  Cloud based analysis –  Internet accessible –  No cost (2 million cells) –  1 Machine = 1000 cells

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Mobile Device Integration – Smartphones / Tablets ! Local and Online Machines

–  Direct access to machine data –  Display the current status

! Cloud for local machines –  Data transmits to a cloud database

(AWS, Google Sheets) –  Display current and historical data

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Going Probabalistic

! 

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Statistical Data Fusion

StateofHealth

Accelerometer

Dynamometer

MTConnect

PowerMeter

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Beyond Machining

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HPC Applications in Subtractive and Additive

! Allows for easy creation of organic or non-traditional geometry –  Parts that would normally be candidates for additive manufacturing

! Virtual platform implementation (Desktop as a Service, DaaS)

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Scaled Trial in ME UG Course

! The virtualized implementation 2nd year design/build course

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Where are We Going? ! Distributed manufacturing ! Tools will morph to leverage new workforce ! Security / Safety / Privacy ! Embedded low cost systems (processing, memory, connectivity) ! Web and Desktop as a Service will be commonplace ! Flexibility / customization will grow ! Not just OEMs, but suppliers as well ! Open source / repurposed hardware will rule

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Analog Digital Compressed Distributed

1D:Sound

2D:Image

TIME

3D:Volume

1991 201x

1987 1992

BREP, CSG, Triangular

mesh

Voxel model

201x

201x

New volume representation

and compression technology

Cloud computing, Parallel

processing, GPGPU

1982

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Back to the Big Picture ! Wealth creation ! Enabling SME’s ! A new workforce foundation ! New technical leadership for policy ! The United States of America

–  Enabling innovation –  Ensuring the talent pipeline

! The World – Making a difference “In times of change, learners inherit the earth; while the learned find themselves beautifully equipped to deal with a world that no longer exists.” (Eric Hoffer 1902-1983)