CWIN17 Toulouse / Additive manufacturing and cognitive augmented design 3 ds-d.pyzak-cwin17
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In this session, you’ll get an overview of the DS strategy and current solutions around Additive Manufacturing (including material engineering, design, manufacturing preparation and simulation) with a special focus on CATIA new Cognitive Augmented Design capabilities on the 3DEXPERIENCE Platform.
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CWIN17 Toulouse / Additive manufacturing and cognitive augmented design 3 ds-d.pyzak-cwin17
- 1. Additive Manufacturing & Cognitive Augmented Design 15:05-15:25 Charles Londeix, Sogeti Daniel Pyzak, Dassault Systèmes Toulouse, September 28
- 2. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 2 Table of Contents Dassault Systèmes Strategy & Solutions for Additive Manufacturing Zoom on Cognitive Augmented Design Conclusion
- 3. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 3 Dassault Systèmes Strategy & Solutions for Additive Manufacturing
- 4. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 4 The new world to imagine, design and make New Machines/New Materials New ways to produce Bio-printing of cartilage New ways to design New topologies Titanium buckle New Assembly structures Carbon3D's Super Fast 3D Printer MX3D bridge printing New Eco-System New Economy of Contribution Machine Providers Material Providers Labs/ AcademicsEngineering Experts Machine Builders Manufacturing Experts Functions integration From one assembly to one part DFAM
- 5. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 5 3DS Additive Manufacturing Solution 1 2 3 4 5 3DEXPERIENCE Marketplace In- silico Material Engineering Function-Driven Generative Design Process Definition & Simulation Global Production System Service Providers Material Providers Labs/ AcademicsEngineering Experts Machine Builders Manufacturing Experts Process Definition & Simulation
- 6. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 6 In-silico Materials Science1 Grain segregation of a Titanium Alloy Melting & Thermal conductivity of a Nickel AlloyVIRTUAL Material Lab • Certify existing materials for AM • Engineer New material for AM • Control the micro-structure of the processed material
- 7. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 7 Function-Driven Generative Design2 Innovative Designs • Organic shapes • Function integration • Performance improvement • Weight reduction
- 8. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 8 Process Definition & Simulation3 Process & Quality control • Program the machine and simulate the process : • Part Quality (as manufactured = as designed ) • Repeatability • Productivity
- 9. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 9 Global Production System4 Execution of the production • Shop floor management • Production optimization • Machine efficiency - Making sure the machine is used at its full potential • Process monitoring : • Stopping production in case of problem ( if deviation ) • Correcting the process in situ in case of deviation • Post fabrication optimization • Part Quality Control & traceability
- 10. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 10 3DEXPERIENCE Marketplace for Additive Manufacturing5 3DEXPERIENCE Marketplace: starts with Additive Manufacturing • Connects the AM eco- system • Makes sure : • The request meets the service offering • The optimum service is found to meet the request The only QUALIFIED Ecosystem INDUSTRIAL Service Bureaus Worldwide
- 11. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 11 Zoom on Cognitive Augmented Design
- 12. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 12 From current Traditional Design … To a new Generative approach KPIs What are we talking about ? Design Space +
- 13. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 13 …to explore unimaginable shapes while respecting design specifications Material|Engineering|Manufacturing Alternatives 1 2 3 Business KPIs Weight Stiffness Durability Cost Materials Milling Additive Manufacturing Casting & Forging What do we propose ?
- 14. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 14 Design Space Functional Specifications Topology Optimization Automatic Reconstruction FEA Validation Variants CreationTrade-Off StudyFinal Validation Detailed Design New Workflow
- 15. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 15 Conclusion
- 16. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 16 Function-Driven Generative Design and Additive Manufacturing are strategic for Dassault Systèmes Dassault Systèmes is delivering unified solutions for Design, Simulation and Manufacturing to support Additive Manufacturing and Traditional Manufacturing Processes (Milling, Casting, Stamping…) A collaborative platform for designers, simulation and manufacturing engineers Embarking Modeling, Simulation and Optimization in a unique Designer role Delivering a unique generative manufacturing process & simulation solution Take Away
- 17. Session’s Title | Date Copyright © 2017 Capgemini and Sogeti. All rights reserved. 17 Thank You! Daniel Pyzak Director, CATIA Engineering Center of Excellence EMEAR dpk@3ds.com Charles B. Londeix Additive Manufacturing Solution Leader charles.londeix@sogeti.com
Editor's Notes
- 1. Virtual material design The material scientist explores virtual new materials and determines their suitability for Additive Manufacturing 2. Innovative Product design The Engineer captures functional requirements to generate an optimized concept then performs organic shape modeling 3. Process control The Manufacturing Engineer programs the machine and defines the planning of the production to meet the expected design requirements and expected quality 4. RUN of the production The Manufacturing Engineer specifies the shopfloor capacities based on machine availability and performance, and ensures that the production is optimized ( machine efficiency ) 5. Find the best Printing service The Manufacturing Engineer connects to the Additive Manufacturing Hub to find the best service provider to print his part
- Aim is to connect all the AM players 6 main Value Proposals PROCESS monitoring In-situ Correction Post-fabrication Optimization Manufacturing simulation NOT Only about using current material and certifying them for AM, but also New material for AM Controlling the micro-dtruvutre of the matelas ( deep dive into the micro scale structure ) Innovative design New shapes Function integration Performance improvment Weight reduction Process control quality : as manufactured = as design repeatability productivity Production optimization Shopfloor management Making sure a machine is used at its full potential ( expensive , production time is high, material costs a lot ) Stopping production in case of problem ( if deviation ) Correcting the process in case of deviation Controlling the quality
- Aim is to connect all the AM players 6 main Value Proposals PROCESS monitoring In-situ Correction Post-fabrication Optimization Manufacturing simulation NOT Only about using current material and certifying them for AM, but also New material for AM Controlling the micro-dtruvutre of the matelas ( deep dive into the micro scale structure ) Innovative design New shapes Function integration Performance improvment Weight reduction Process control quality : as manufactured = as design repeatability productivity Production optimization Shopfloor management Making sure a machine is used at its full potential ( expensive , production time is high, material costs a lot ) Stopping production in case of problem ( if deviation ) Correcting the process in case of deviation Controlling the quality
- Aim is to connect all the AM players 6 main Value Proposals PROCESS monitoring In-situ Correction Post-fabrication Optimization Manufacturing simulation NOT Only about using current material and certifying them for AM, but also New material for AM Controlling the micro-dtruvutre of the matelas ( deep dive into the micro scale structure ) Innovative design New shapes Function integration Performance improvment Weight reduction Process control quality : as manufactured = as design repeatability productivity Production optimization Shopfloor management Making sure a machine is used at its full potential ( expensive , production time is high, material costs a lot ) Stopping production in case of problem ( if deviation ) Correcting the process in case of deviation Controlling the quality
- Aim is to connect all the AM players 6 main Value Proposals PROCESS monitoring In-situ Correction Post-fabrication Optimization Manufacturing simulation NOT Only about using current material and certifying them for AM, but also New material for AM Controlling the micro-dtruvutre of the matelas ( deep dive into the micro scale structure ) Innovative design New shapes Function integration Performance improvment Weight reduction Process control quality : as manufactured = as design repeatability productivity Production optimization Shopfloor management Making sure a machine is used at its full potential ( expensive , production time is high, material costs a lot ) Stopping production in case of problem ( if deviation ) Correcting the process in case of deviation Controlling the quality
- Aim is to connect all the AM players 6 main Value Proposals PROCESS monitoring In-situ Correction Post-fabrication Optimization Manufacturing simulation NOT Only about using current material and certifying them for AM, but also New material for AM Controlling the micro-dtruvutre of the matelas ( deep dive into the micro scale structure ) Innovative design New shapes Function integration Performance improvment Weight reduction Process control quality : as manufactured = as design repeatability productivity Production optimization Shopfloor management Making sure a machine is used at its full potential ( expensive , production time is high, material costs a lot ) Stopping production in case of problem ( if deviation ) Correcting the process in case of deviation Controlling the quality