Integrated Computational Materials Engineering (ICME): The Next Big Thing In Materials John Allison The University of Michigan Department of Materials Science and Engineering August 3, 2011 Materials Information Luncheon 1 Outline • Integrated Computational Materials Engineering (ICME) – What it is and why it’s important • Virtual Aluminum Castings – An ICME case study at Ford Motor Co. • ICME – An “emerging discipline” at a tipping point 2 US National Materials Advisory Board Committee on Integrated Computational Materials Engineering (ICME) Tresa Pollock, Chair John Allison, Vice Chair Integrated Computational Materials Engineering The Vision Computationally-driven materials development is a core activity of materials professionals in the upcoming decades, uniting materials science with materials engineering and integrating materials more holistically and computationally with product development. 4 What is ICME? Integrated Computational Materials Engineering (ICME) is the integration of materials information, captured in computational tools, with engineering product performance analysis and manufacturing-process simulation.* Manufacturing Process Simulation Microstructure Distribution Property Distribution Product Performance Analysis • Process & product optimization • Innovation * NAE ICME Report, 2008 Integrated Computational Materials Engineering Using advanced computational techniques, designs can be studied and optimized in matters of hours or days. Optimization of new materials must be done experimentally and can take 10-20 years. Shape optimization of hypersonic vehicles Source: K. Bowcutt, Boeing Why this is important • Innovations in materials and tight coupling of component design, materials and manufacturing have been key sources of industrial competitiveness • These innovations and tight coupling are threatened by advances in computational capability in design and manufacturing that have “left materials field in the dust”. • The global economy requires efficient engineering, manufacturing and R&D 7 The Divide Separating Materials Science and Materials Engineering First-Principles Calculated Equilibrium Volumes of Bulk Al-Cu Compounds 16 ' Volume/atom (A3) 15 14 '' (1-x)VAl + xVCu 13 12 Solid Solution 11 10 0.0 Al 0.2 0.4 0.6 0.8 Cu composition 1.0 Cu Predicted Volume Change Quantum Mechanics Theory g Aging Temperature ( oC) Calculated Phase Diagram Aging Time (hours) Kinetics Experiment Thermal Growth 8 n V k t f ( c ,T ) ( 1 e ) m ax 3 V Integrated Computational Materials Engineering provides a means to link: • Science and Engineering • Manufacturing, Materials and Design • Experiments, Theory, Simulation • Information Across Disciplines 9 8 Ford Virtual Aluminum Castings 10 Traditional Durability Analysis, ca 1985 Load Inputs Initial Geometry Durable Component Predict Service Life Y N Database of Material Properties Finite Element Analysis 11 Traditional Durability & Manufacturing Analysis, ca 1995 Load Inputs Initial Geometry Durable Component Predict Service Life Model Casting Y N Database of Material Properties 12 Ensure Castability Y N Traditional Product Development Process Load Inputs Initial Geometry Durable Component Predict Service Life Model Casting Y N Database of Material Properties 13 Ensure Castability Y N Build, Test, Re-Build, Re-Test Virtual Aluminum Castings Product Property Requirements Initial Geometry Predict Residual Stress Model Casting and Heat Treatment Ensure Castability Y N Alloy Composition 14 Load Inputs Optimized Process & Product Meet Property Requirements Predict Local Microstructure Predict Local Properties Y N Predict Service Life Y N Optimized Component Virtual Aluminum Castings The Ford Experiment in ICME Product Property Requirements Initial Geometry Predict Residual Stress Model Casting and Heat Treatment Ensure Castability Y N Alloy Composition 15 Load Inputs Optimized Process & Product Meet Property Requirements Predict Local Microstructure Predict Local Properties Y N Predict Service Life Y N Optimized Component The importance and complexity of “microstructure” 1m Engine Block 1 – 10 mm 0.1-1 nm 10 – 500mm 1-100 nm Key materials processes: • occur at many microstructural scales • are all influenced by the manufacturing history • are three-dimensional in nature 0.03-.3nm Cast Aluminum Processing-Structure-Property Linkages Heat Treatment Processing Casting Solution n Treatment Chemistry Aging Thermodynamics Microstructure Micro porosity Eutectic Phases Precipitation Materials Engineering is all about compromises – ICME provides a means to conduct quantitative tradeoffs Properties High Cycle Fatigue Low Cycle Fatigue Yield Strength Thermal Growth Materials represents a different class of computational problem • • • Materials response and behavior involve a multitude of physical phenomena with no single overarching modeling approach. Capturing the essence of a material requires integration of a wide range of modeling approaches dealing with separate and often competing mechanisms and a wider range of length and time scales. There are over 160,000 engineering materials! Processing Casting Heat Treatment Solution n Treatment Chemistry Aging Thermodynamics Microstructure Properties Micro porosity High Cycle Fatigue Low Cycle Fatigue Eutectic Phases Yield Strength Precipitation Thermal Growth Integration of knowledge domains is the key to ICME Virtual Aluminum Castings Process Flow Local Strength Prediction Initial Geometry Local Strength 19 Casting Filling Casting Thermal History Local Microstructure Using Virtual Aluminum Castings in Product and Process Optimization Target Strength = 220 MPa 210 230 Aging at 250C for 3hrs 220 Aging temperature 240C for 5hrs Initial Heat Treatment Process 205 Optimized Heat Treatment Process Faster and Stronger !! 20 Local Fatigue Strength Prediction Initial Geometry 21 Filling Analysis Thermal Analysis Local Porosity Local Fatigue Strength Use of Local Fatigue Property Prediction for Process Development Combustion Surface 84MPa Gravity Casting 22 56MPa Low Pressure Casting Virtual Aluminum Castings Linking Manufacturing, Materials and Design Local Residual Stresses Component Durability Component Durability Finite Element Analysis Local Fatigue Properties 23 The VAC Business Case Targets • IMPROVE TIMING: Reduce product and process development time 15-25% • IMPROVE QUALITY: • Improve launch quality /reduce scrap • Eliminate failures during product development • Ensure high mileage durability • IMPROVE PERFORMANCE: • Enable high performance heads & blocks • Reduce weight of components • REDUCE COST: • Reduce costs by over $120M GLOBAL USERS • North American Powertrain Operations • European Powertrain Ops • Ford of China • Ford of Australia • Mazda ICME “Case Studies” have demonstrated the promise • Early ICME implementations have been successful in a wide variety of industries • A return-on-investment in the range of 3:1 to 9:1 can be realized. • Typical investments were in the $5-20M range. “ICME is in an embryonic stage. For ICME to succeed, it must be embraced as a discipline by the materials profession” Foundational Engineering Problems Include a manufacturing process(es), a materials system and an application or set of applications that define the critical set of materials properties and geometries • Examples of FEPs • Lightweight, blast resistant structures • Turbine disks for aeropropulsion • $10-40M per FEP (3-5 year funding) • Prioritize modeling, experimental, data issues to be tackled • Provide a framework for assembly of multidisciplinary teams • Provide near-term payoff • Serve as the foundation for this emerging discipline Integrated Computational Materials Engineering Cyberinfrastructure for ICME To fully reach its potential, ICME requires new advances in networking, computing, and software: • Curated, repositories for data and material models and simulation tools • Linkage of application codes with diverse materials modeling tools • Geographically dispersed collaborative research • Dispersed computational resources (Grid computing) Courtesy of T. Pollock, UCSB 1989 1995 2001 2004 28 2008 1999 2009 2010 2011 Materials Genome Initiative . . . This initiative offers a unique opportunity for the United States to discover, develop, manufacture, and deploy advanced materials at least twice as fast as possible today, at a fraction of the cost. President Barack Obama, 24 June 2011 Announcing the Materials Genome Initiative 29 ICME – The Next Big Thing in Materials “ICME is in an embryonic stage. For ICME to succeed, it must be embraced as a discipline by the materials profession” NMAB Report, 2008 •The concept is fundamental and has the potential to have a pervasive impact •Global recognition that ICME is feasible and important • North America: ICME • Europe: Through-Process Modeling • China: 集成计算材料工程 •Computational capability is no longer a limitation 30 ICME – The Next Big Thing in Materials • Government initiatives - Materials Genome Initiative ! • Growing industrial activity • Growing academic activity • Growing professional society activity: TMS, ASM, ASME, AIAA, MRS First World ICME Congress July 2011 31 ICME – An Emerging Discipline At A Tipping Point • Broaden involvement of the materials community • Coordination & Planning ICME Roadmaps ICME development (including basic science) as an integral part of all major materials and manufacturing development programs • Develop sustained efforts in: Integrated computational and experimental materials science coupled with Foundational Engineering Problems as demonstrators Information Infrastructure Commercial Integrated Software Education 32 Summary • Integrated Computational Materials Engineering (ICME) is a new approach for integrating – Materials, manufacturing and design – Science and engineering – Experiment, theory and simulation • Early stage developments clearly demonstrate the value of ICME. • ICME is an emerging discipline that promises to transform materials science and engineering and lead to increased industrial efficiency and competitiveness. • To fully and efficiently realize the promise of ICME there is a need for a global information infrastructure and coordinated, sustained efforts - a grand challenge! 33