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www.grantadesign.com Web seminar May 12, 2015 Materials information management for Additive Manufacturing

Materials information management for Additive Manufacturing · Materials information management for Additive Manufacturing . CONFIDENTIAL . Agenda • Introducing Granta Design (Dr

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www.grantadesign.com

Web seminar May 12, 2015

Materials information management for Additive Manufacturing

CONFIDENTIAL

Agenda

• Introducing Granta Design (Dr Will Marsden) – Granta and the MDMC – Why Additive Manufacturing? – Granta materials information management infrastructure

• Additive Manufacturing experiences (Dr James Goddin) – Example project: AMAZE – Industry requirements

• Demonstration (Josh Scharnweber)

• Summary

• Q&A

www.grantadesign.com

Dr Will Marsden

Introducing Granta Design

Introducing Granta Design

Our mission is to lead materials information technology – to advance materials engineering and education,

and to enable better, greener, safer products.

We do this through…

Software Information Services Network + + +

Granta Design—innovating since 1994

…related to engineering materials and their properties

Materials information technology is…

Software

Materials information

management

Materials decision

support tools

Materials support for CAD, CAE,

PLM

Information

+

Materials reference

information

CONFIDENTIAL

Consortia and example customers

Perkins Engines

Pratt & Whitney

PSA Peugeot Citroën

Raytheon

Rheinmetall (KSPG Auto)

Rhodia

Rolls-Royce

RUAG Space

Sandia National Labs

Suzlon

Sulzer

Thales

TRW Automotive

United Technologies Corp

Vestas

US Army Research Lab

US Air Force Research Lab

Consortia Material Data Management Consortium

EMIT Consortium

AutoMatIC

DePuy

Donaldson

Doosan Power

Embraer

Emerson Electric

ESA

Ethicon Surgical Care

GE

General Motors

GKN Aerospace

Airbus

Airbus Helicopters

Airbus Defence & Space

AWE

ASCO Industries

Baker Hughes

Boeing

Bombardier Aerospace

Bosch

Constellium

Honeywell

Huntsman

Hutchinson

Jaguar Land Rover

KSPG

Lab 126 (Kindle)

Lockheed Martin

Los Alamos National Lab

MBDA Group

MTU

NASA

Northrop Grumman

Novo Nordisk

NPL

Oak Ridge National Lab

Philips Technologie

Parker Aerospace

CONFIDENTIAL

MDMC is helping define our approach to AM

Perkins Engines

Pratt & Whitney

PSA Peugeot Citroën

Raytheon

Rheinmetall (KSPG Auto)

Rhodia

Rolls-Royce

RUAG Space

Sandia National Labs

Suzlon

Sulzer

Thales

TRW Automotive

United Technologies Corp

Vestas

US Army Research Lab

US Air Force Research Lab

Consortia Material Data Management Consortium

EMIT Consortium

AutoMatIC

DePuy

Donaldson

Doosan Power

Embraer

Emerson Electric

ESA

Ethicon Surgical Care

GE

General Motors

GKN Aerospace

Airbus

Airbus Helicopters

Airbus Defence & Space

AWE

ASCO Industries

Baker Hughes

Boeing

Bombardier Aerospace

Bosch

Constellium

Honeywell

Huntsman

Hutchinson

Jaguar Land Rover

KSPG

Lab 126 (Kindle)

Lockheed Martin

Los Alamos National Lab

MBDA Group

MTU

NASA

Northrop Grumman

Novo Nordisk

NPL

Oak Ridge National Lab

Philips Technologie

Parker Aerospace

CONFIDENTIAL

Why Additive Manufacturing?

• It’s an exciting technology – Scope to transform part manufacture for

many industries

• Our customers are asking for support – They need systems to manage AM-related data

• Industry needs match Granta strengths – Manage (large volumes of) materials data – Handle complex inter-relationships between data – Bridge multiple disciplines: R&D, part design, simulation, production, supply chain

– Ensure traceability (e.g., for future certification / qualification) – Do all of the above with practical, usable tools

Image courtesy of Renishaw

CONFIDENTIAL

Our GRANTA MI infrastructure

EXTERNAL MATERIALS REFERENCE DATA Metals, plastics, composites, ceramics, substances, coatings…

PROPRIETARY MATERIALS DATA Testing, research, QA, design, simulation, suppliers…

CONSOLIDATE DATA

VISUALIZE & ANALYZE

SUPPORT PLM, CAD, CAE MAKE DECISIONS

BROWSE, SEARCH & REPORT

Some key infrastructural elements

Flexible importer technology Get data in, e.g., from specific test machines. Easy, remote upload.

Integration with simulation Export of data and embedded MI:Materials Gateway technology

Schema Configurable data structures to capture specific data types and their inter-relationships

Intuitive interfaces Probe relationships between materials, processes and the parts they produce

CONFIDENTIAL

GRANTA MI supports many different roles

Inform decisions

TESTING / QA

MATERIALS ENGINEERING

MATERIALS EXPERTS

MANUFACTURING

PRODUCT DESIGN & DEVELOPMENT

ENVIRONMENTAL & REGULATORY

PROCUREMENT

SUPPLIERS

SIMULATION

CONFIDENTIAL

Relevant for Additive Manufacturing

TESTING / QA

MATERIALS ENGINEERING

MATERIALS EXPERTS

MANUFACTURING

PRODUCT DESIGN & DEVELOPMENT

ENVIRONMENTAL & REGULATORY

PROCUREMENT

SUPPLIERS

SIMULATION

How can we help?

www.grantadesign.com

Dr James Goddin

Additive Manufacturing experiences

CONFIDENTIAL

Granta Collaborative Projects

Materials Information

Additive Manufacturing

Composites

Advanced Metallurgy

Coatings & Substitution

Resource Efficiency

Risk Management

Computational Materials Science RESCOM

Circular Economy Metrics

HITEA

AMSCA

LAYERS

SAMULET

Computational Materials Data Network TM

Structural Materials Data Demonstration Project Materials data laboratory

CONFIDENTIAL

AMAZE

• Additive Manufacturing Aiming Towards Zero Waste & Efficient Production of High-Tech Metal Products

• Objectives – To rapidly produce large defect-free additively-manufactured (AM)

metallic components up to 2m in size, – Ideally with close to zero waste. – For use in the following high-tech sectors: Aeronautics Space Automotive Nuclear fusion Tooling.

CONFIDENTIAL

The AMAZE Consortium

• The largest and most ambitious consortium ever assembled on this topic • 28 partners • €20M ~ $24.6M ~ £15.7M • 4.5 years (Jan 2013 – Jun 2016) • AMAZE 2 already being discussed

CONFIDENTIAL

Granta’s role in AMAZE

• Providing an overarching materials information management system for the consortium – Based on a new Granta AM Schema + additional AMAZE-specific

schema components

• Partners use GRANTA MI as a single go-to source for – All materials & process data – All properties measured for process refinement – All data needed for inter-partner coordination on the above – Enabled by use of Remote Import technology

• Integration with simulation activities within the project to enable effective design of AM parts

CONFIDENTIAL

Benefits for the Consortium

• Data gathering is standardised across the project

• Less data is duplicated

• More effective benchmarking

• Greater value can be leveraged from the data – More data across more areas – More eyes looking at it – Reveals opportunities that may otherwise be hidden

Schema Requirements

Feed materials • Bulk properties • Simulation input data • Microstructure

Processes (Machines and simulations) • Type and capabilities details • Processing parameters stores • Project-specific data

Fabricated parts • Characterization and measurements

Materials Processes

Parts

Low density alloys High temp alloys Medical alloys Innovative alloys Polymers

Direct laser deposition Laser sintering Electron beam deposition Other electro-mechanical, …

Managing this:

www.grantadesign.com

Josh Scharnweber

Demonstration GRANTA MI:Additive Manufacturing

CONFIDENTIAL

Granta AM Schema V1

CONFIDENTIAL

Granta AM Schema V1

Currently includes over 800 attributes

Machines Materials Part Design Material Batches Builds PartsGeneral Information General Information General Information Project Information Project Information Project InformationCalibration General Properties Original Design General Batch Information General Information Part InformationMachine Specifications Composition overview Re-Design Manufacturing Build Information Part SpecificationsMaterial Bulk Mechanical Properties Dimensions Material Quality General Build Parameters SamplesMachine Properties Bulk Thermal Properties General Material Properties Particle Properties and Size Distribution Build Atmosphere Visual InspectionBuild Environment Bulk Electrical Properties Processing Interstitial contamination Material Used Accuracy TestingLaser Properties Biological Static Tensile Properties Flowability Support NDT TestingElectron Beam Properties Chemical High-cycle fatigue properties Wire Properties Filament Information Post Processing

Eco Fracture Toughness Chemical Analysis and Composition Substrate Heat TreatmentCost Fatigue Crack Growth Quality of Welding Consumables HIPSafety and Handling Surface Roughness Requested Build Alarms MachiningGeneral Information Other Requested Properties Themes Used Laser PolishingRequirements Final Part Details Powder Build Parameters Other Post ProcessingComposition Quality Assurance Wire Build ParametersPhysical Properties Key Benefits Laser PropertiesFurther Information Electron Beam Properties

Arc PropertiesIn-Process RollingIn-Process Analysis

Layout Headings - Granta AM Schema v1.01

CONFIDENTIAL

Demo

Content:

1. Additive Manufacturing Schema – Schema Map and tables

2. Mechanical Benchmarking Sample Data – Capture all information from materials over processes to parts – Reporting on results – compare test results of different builds

3. Integration with Additive Manufacturing Machines – Automated import of log files

CONFIDENTIAL

Simulation integration options

Export

Test data

Design data

Interactive Gateway

API

www.grantadesign.com

Dr Will Marsden

Summary

Just one typical workflow we can support

VISUALIZE & ANALYZE

SUPPORT PLM, CAD, CAE MAKE DECISIONS

BROWSE, SEARCH & REPORT

1. Import logfiles directly from AM machines 2. Store process parameters,

extract logged data for specific builds

4. Capture finishing, inspection, test data for parts

3. Link build info directly to supplier data on materials processed to make a part

5. Feed these results into statistical analyses to determine properties

6. Export properties for use in simulation and design

7. Capture simulated outputs for use in optimizing part design

8. Make full knowledge-base available to collaborative teams

Just one typical workflow we can support

1. Import logfiles directly from AM machines 2. Store process parameters,

extract logged data for specific builds

4. Capture finishing, inspection, test data for parts

3. Link build info directly to supplier data on materials processed to make a part

5. Feed these results into statistical analyses to determine properties

6. Export properties for use in simulation and design

7. Capture simulated outputs for use in optimizing part design

8. Make full knowledge-base available to collaborative teams

CONFIDENTIAL

Conclusions

• New GRANTA MI:Additive Manufacturing solution

• Based on industry best practice (e.g., AMAZE, MDMC)

• Benefits: – Protect investment and IP in AM research; avoid lost data – Build your knowledge-base to better understand AM processes – Reduce time-to-market with more efficient R&D – Reduce the risk of later qualification / certification problems

• More at: www.grantadesign.com/products/mi/am.htm – Or contact your Granta representative