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SAMPE Conference & Exhibition

In-depth education for advanced critical thinking

Monday, May 23, 2022

Start Your Conference Experience on the Right Note

By providing valuable and useful information on an assortment of topics, SAMPE 2024 Tutorials are highly rated courses designed for both technical and non-technical staff. Tutorial sessions take place Monday, May 20

AI for Advanced Material Design: with Hands-on Composite Optimization Demo

Monday May 20, 2024 | 9:00 AM - 12:00 PM

The recent increases in the available quantities of materials data and computational power have made applications of Artificial Intelligence and Machine Learning (AI/ML) a powerful approach in the field of materials design. This tutorial provides an overview of the materials data landscape, an introduction to different ML methodologies, and an overview of the use of ML for materials discovery and design. We will then provide an in-depth tutorial of Gaussian Process Regression and Bayesian optimization, an effective strategy often used for material design. This portion of the tutorial will include a guided hands-on application in Python, working in small groups. We will then showcase recent work in Polymer Nanocomposite design to show participants how their new skills can be usefully applied and explore some of the future challenges that other AI techniques may help overcome. Bullet point outline of what we cover: •Introduction to Materials Data, Design, and the Materials Genome Initiative •Basic classifications and descriptions of AI/ML methods •Deep dive: Introduction to Gaussian Processes (GP), Gaussian Process Regression, and Bayesian Optimization (BO) •Hands-on: Practice of BO with Python/Scikit-Learn in small groups Examples of ML for polymer Nanocomposite design Challenges for the Future, including use of LLMs for data extraction and inference.

L. Cate Brinson, PhD | Sharon C and Harold L Yoh III Professor of Engineering, Duke University

L. Cate Brinson is the Sharon C and Harold L Yoh III Professor of Engineering and the Donald M Alstadt Department Chair of the Mechanical Engineering and Materials Science Department at Duke University. She received her BS from Virginia Tech, PhD from Caltech, did a postdoc at the DLR in Germany and began her academic career at Northwestern University in 1992, serving in many roles, including as Department Chair for Mechanical Engineering and an Associate Dean in the McCormick School of Engineering. She is an expert in the broad area of mechanics of materials, with emphasis on complex hierarchical materials and polymer based systems, and merging concepts of data science into materials. Experimental and computational work spans the range of molecular interactions, micromechanics and macroscale behavior. Current research foci include nanostructured polymers, interfacial behavior, structural metamaterials and data platforms for material query and design. Dr. Brinson has received a number of awards, including the Eringen Medal of SES, the Nadai Medal of the ASME, the Friedrich Wilhelm Bessel Prize of the Alexander von Humboldt Foundation, the ASME Tom JR Hughes Young Investigator Award, and an NSF CAREER Award. She has authored one book and over 170 refereed journal publications with nearly 30000 citations and an h-index of 74 in Google Scholar. Her book Polymer Engineering Science and Viscoelasticity has had over 130,000 chapter downloads from the e-version since publication. She served 5 years on the Society of Engineering Science Board of Directors, one year as President, and is a founding member of the Materials Research Data Alliance (MaRDA).

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Richard Sheridan. PhD | Research Scientist, Duke University

Richard Sheridan is a Research Scientist in the Brinson Advanced Materials Laboratory at the Duke University Department of Mechanical Engineering and Materials Science. Richard received his Ph.D. from the University of Colorado at Boulder for studying the rheology and applications of thermoreversible polymer networks while funded by a GAANN fellowship. He then accepted a postdoctoral position at the National Institute of Standards and Technology (NIST) where he received an NRC Postdoctoral Associateship to research the physics and metrology of polymer films and interfaces. Subsequently, he was funded by Owens Corning and then a NIST-CHiMaD fellowship to measure the interphase of glass fiber epoxy composites and the effect of that interphase on strength and fatigue of fiberglass materials. His current research interests include optimal experimental design, uncertainty quantification, and AI-augmented laboratory techniques, especially in the context of AFM nanomechanics.

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Process Routes for CMC Manufacturing

Monday May 20, 2024 | 9:00 AM - 12:00 PM

Ceramic matrix composites (CMCs) are essential to high-temperature applications in aerospace and nuclear industries. However, CMCs generally require lengthy processing times and result in variable performance levels. The tutorial will introduce manufacturing routes for CMC production, and address processing/performance challenges, limitations, and outlook. •CMCs: Ox-Ox, SiC-SiC, C-SiC •CMC processing routes: RMI, CVI, PIP, prepreg, FAST, 3D printing •Processing challenges and solutions •Defect control and mitigation •Scatter in performance levels •Microstructural analysis •Cost •Applications: gas turbines, EBC coatings, nuclear, hypersonic vehicles, brake rotors

Steve Nutt, PhD | M.C. Gill Chair in Composite Materials and Professor of Chemical Engineering and Materials Science and Aerospace and Mechanical Engineering, University of Southern California

Steve’s research group focuses on composites manufacturing, focusing on process efficiency, process monitoring techniques, defect evolution and mitigation, and composite recycling. He is the founding Director of the M.C. Gill Composites Center and holds the M.C. Gill Chair in Composite Materials at USC. He has produced 300+ publications and advised 40+ PhD students, and he holds 12 patents. In his 30 years at USC, he has served as Vice Dean of Research and Department Chair.

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Brian Feng, PhD| Graduate Research Assistant, University of Southern California

Brian received his Ph.D. degree in Materials Science from the University of Southern California in 2023. He has worked extensively on composites manufacturing, 3D microstructural analysis, and in situ mechanical tests. His research focused on single-step densification of ceramic matrix composite prepregs using field-assisted sintering technology (FAST).

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Surface Preparation and Surface Verification Technologies for Robust Structural Composite Bonds

Monday May 20, 2024 | 1:00 PM - 4:00 PM

Composite structural bonding is rapidly becoming the “go-to” method for joining large, highly loaded airframe structures. Proper surface preparation is essential to robust structural bonds. This tutorial will provide you with overviews and hands-on demonstrations supporting various surface preparation and verification technologies from industry-trusted suppliers and academia.

Doug Decker | President, TCC - The Composites Consultants

Doug’s expertise is in building large, integrated, bonded composite structures with a focus on how to build them economically while still meeting demanding performance requirements. He has a passion for shaping programs through their dem/val phases, including limited-run demonstration efforts. Mr. Decker retired from Northrop Grumman as a senior Technical Fellow after a successful career working on aircraft, satellites, and ship structures. He received a Bachelor of Science degree in Aeronautical Engineering Technology from Arizona State University in 1981 while under a football scholarship.

Digital Twins for Thermoplastic Composite Structures: An Advanced Simulation Approach 

Monday May 20, 2024 | 1:00 PM - 4:00 PM

This tutorial provides an overview of methodologies to address the challenges in the field of advanced materials and manufacturing processes, with a particular focus on an Integrated Computational and Materials Engineering (ICME) driven digital twin technology. This course will identify cost-effective methods to effectively guide material development and significantly improve manufacturing processes, reduce physical testing, and accelerate production lead time. Attendees will learn about composite material modeling, multi-scale progressive failure analysis as applied to structural components where defects & effects of defects drive design options. Attendees will also learn how to improve their competency in additive manufacturing build simulation, equipping them with practical knowledge and skills to implement in real-world applications.

Harsh Kumar Baid, PhD | Chief Scientist, AlphaSTAR Technology Solutions

Dr. Harsh Kumar Baid, currently serving as Chief Scientist at AlphaStar Technology Solutions (ATS) in Irvine, California. Prior to his tenure at ATS, he engaged in research at the UCLA Material Degradation and Characterization Laboratory, specializing in Structural Health Monitoring (SHM) through ultrasonic wave propagation technology, starting from March 2005. His comprehensive approach involved experimental, theoretical, and computational analyses to understand guided wave propagation in advanced composite structures, both with and without defects. Since July 2012, he has contributed significantly to various projects and proposals as a Senior Scientist at ATS. Dr. Baid has led multiple government and industry programs at ATS in the last 12 years. Notable achievements include the development and implementation of mathematical models for detecting damages in metallic and composite structures using ultrasonic wave propagation technology. Additionally, he has formulated models for acoustic fatigue analysis in both metallic and composite structures. His expertise extends to material modeling of both continuous and discontinuous fiber composite material, successful development, and implementation of curing processes for resins under various cycles, and proficiency in numerical modeling for detecting damage precursors in metallic structures under static and fatigue loading conditions. He earned his Ph.D. from the University of California, Los Angeles (UCLA) in June 2012, receiving the Outstanding Ph.D. Student Award in the field of structural health monitoring. He has published over 50 publications in highly rated journals and conferences.

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Mallikharjun Marrey | Lead AM Engineer, AlphaSTAR Technology Solutions

Mallikharjun Marrey is the Lead AM Engineer at AlphaSTAR and has multi-disciplinary experience in modeling of additive manufacturing processes, process parameter optimization, and predictive modeling with machine learning. Prior to joining ASC, he conducted research at the Purdue School of Engineering and Technology, gaining valuable experience in polymer and metal additive manufacturing, material-process-property relationship, generative design, and machine learning integration. Mr. Marrey has also worked at State University of New York, where he gained hands-on experience with polymer, resin, and metal additive machines. He earned his M.S. in Mechanical Engineering from the Purdue School of Engineering and Technology in 2019.

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Think Composites and Apply

Monday May 20, 2024 | 1:00 PM - 4:00 PM

In this tutorial, you will learn how to Think Composites and how to apply this thinking to create innovative products for various domains, from set-screws to satellites. We will demonstrate how to avoid the limitations of conventional materials and how to design faster, cheaper, and better solutions. This tutorial is unique because it focuses on practical applications and real-world examples. Hardware and demonstrations will illustrate the power of Think Composites and Apply. By the end of this tutorial, you will be able to use composites to solve problems and to create new, affordable and sustainable composites hardware and products.

Clement (Clem) Hiel, PhD |  President, Composite Support & Solutions, Inc 

Dr. Clement (Clem) Hiel is a SAMPE Fellow who has expertise in design, composites manufacturing processes, and novel methods of assembly. He is known for his hands-on expertise and his out-of-the-box thinking. A student at the University of Brussels wrote the following on his evaluation sheet after a series of lectures: “The Professor is a towering figure in his field and teaches us on the basis of practical examples…we should have more classes like this!”

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