AM NEXT
Digitalization Break OutAndreas Graichen
siemens.com/am-energy© Siemens AG 2018 All rights reserved.
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 2
Introduction:
Our AM journey at Siemens in Finspong (Sweden)
Perceived fitness
of AM-Process
2009 2013 2018
Pre-Mature Hype?
Challenges
• Material knowledge
• Design culture
• Stand-alone software
• Training
• Machine performance
• Quality issues
• Health and Safety concerns
• ….
Disappointment: ”It is
not just 3D-Printing! It
is much more
complex…”
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 3
Vision: Unified chain of data transmission
Automated 3D Scanner
and X-Ray Tomography
Manufacturing Execution System
Tool control directly from CAD
Paperless Factory
Robotic cleaning
In- and offline monitoring
leading to Self-healing
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 4
Starting Position: 2017
2017/18
Traditional Workshop
“Siemens wants to make 3D-Printing in metal as simple as 2D-printing on paper!”
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 5
Step 1 (Today): Become ”Connected”
through MES and use build job simulation
Connected
Workshop
2018
Traditional Workshop
▪ MES & QMS
▪ Build simulation
▪ Encryption
▪ AM Network
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 6
Step 2: Become ”Learning Workshop”
through big data analytics and machine Learning
Connected Workshop
Learning
Workshop
2018 & 2019
Traditional Workshop
Big Data &
Machine Learning
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 7
Step 3: Become ”Intelligent Workshop” Through Robots, VR/AR
and Artificial Intelligence
Connected Workshop
LearningWorkshop
IntelligentWorkshop
2019
Traditional Workshop
e.g. Robots, VR/AR
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 8
Step 4: Become ”Autonomous”, closed loop and self healing
processes; gas turbines order spare parts by themselves
Connected Workshop
LearningWorkshop
IntelligentWorkshop
2020+
Traditional Workshop
AutonomousWorkshop
Cloud
IoT for AM
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 9
SUMMARY 1:
Different levels of digitalized Additive Manufacturing
Prototyping
Commercial
Production & Repair Integrated
Manufacturing
3D-Printer
Network
IoT for
Industrial
AM
Cloud
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 10
Digitalization Landscape Finspong (simplified)
AM Network(=Customer Portal with CAD-
upload; later automated
quotations; hosted on AWS, later
maybe Mindsphere)
MES(= Orders, Operator guidance,
Powder batch management,
Quality Assurance etc.)
QMS (=FY2019/Q3;
AMOM2; powder test
handling & test bars;
MES-plug in)
AM Monitor(= Big Data Collection of pictures
and sensor data, including
machine learning algorythms;
AWS and later Mindsphere)
Teamcenter
PLM2020
v11.5(= storage of all CAD and CAM
files, parameter settings; used as
platform for Model Based Design)
SAP ATLAS(=BoM & BoP, orders, economy, end storage of all order
relevant data)
Confidential
ID3D(= Encryption and
Authorization/Digital Rights
Management)
Metal SLM
(only EOS)
AM
Explorer
Customer
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 11
SUMMARY 2: IT-System Aspects in an Industrial Setting
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 12
Backup
October 2018 Andreas Graichen / Siemens AG
© Siemens AG 2018 All rights reserved.
Page 13
All Parts of the Digital Chain Should be Able to Communicate
Freely
Manufacturing Control
NX TeamCenter
Cloud = IoT powered by MindSphere