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Materials design
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Journal Articles
Artificial Intelligence and Machine Learning for Materials: Panel at IMAT 2024
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AM&P Technical Articles (2024) 182 (8): 30–31.
Published: 01 November 2024
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This article describes highlights from a panel held at IMAT 2024. Representatives from industry, government, and academia discussed the potential that artificial intelligence and machine learning offer the materials science and manufacturing communities. David Furrer, Pratt & Whitney, moderated the panel. The panelists were Seth Kimble, ASM International; Joshua Stuckner, NASA Glenn Research Center; James E. Saal, Citrine Informatics; and S. Mohadeseh Taheri-Mousavi, Carnegie Mellon University. Each panelist provided their perspective on how AI and ML are impacting current and future materials design and manufacturing processes.
Journal Articles
Artificial Intelligence and Machine Learning in Materials Science
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AM&P Technical Articles (2024) 182 (4): 14–20.
Published: 01 May 2024
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This article provides a brief overview of the many ways that artificial intelligence and machine learning are being used for materials and manufacturing research. Several case studies show how the discovery, development, and deployment of novel materials are being dramatically accelerated through automation and data-driven models.
Journal Articles
Profiles in Materials Science: Osaka University’s Anisotropic Design and Additive Manufacturing Research Center
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AM&P Technical Articles (2023) 181 (3): 28–30.
Published: 01 April 2023
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Osaka University established the Center for Dissimilar Custom Design and Additive Manufacturing Research & Development to connect research-based AM with industrial implementation. It recently established another specialized AM research group at its new Anisotropic Design & Additive Manufacturing Research Center, which will further develop AM technology via an industry-academia collaboration. In this article, Hideyuki Kanematsu talks with Takayoshi Nakano, director of Osaka University’s newest research hub, about the center’s goals as well as the latest prospects for AM technology in Japan.
Journal Articles
Design Tool Predicts Mechanical Properties and High-Temperature Performance of High-Entropy Alloys
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AM&P Technical Articles (2023) 181 (2): 17–19.
Published: 01 March 2023
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View articletitled, Design Tool Predicts Mechanical Properties and High-Temperature Performance of High-Entropy Alloys
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This article describes new software that helps predict properties of high-entropy alloy compositions under high-temperature conditions. The tool was developed by extensive testing on the quinary Al-Co-Cr-Fe-Ni alloy system with both first-principles density functional theory calculations and machine learning to establish a substantial database for modeling.
Journal Articles
Exploring Gradient Pathways in High Temperature, Functionally Graded Alloys
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AM&P Technical Articles (2022) 180 (2): 16–20.
Published: 01 March 2022
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A new approach aims to fabricate parts with targeted, site-specific properties for a wide range of applications in extreme environments within the aviation, space, and energy sectors.
Journal Articles
ASM Data Ecosystem
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AM&P Technical Articles (2022) 180 (2): 21–23.
Published: 01 March 2022
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Designed with key input from members, ASM International’s new Data Ecosystem provides a digital platform to assist engineering design and manufacturing stakeholders working in the Materials 4.0 era.
Journal Articles
Ferrium C64: A 21st Century Steel Takes Flight
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AM&P Technical Articles (2021) 179 (7): 19–22.
Published: 01 October 2021
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High strength, corrosion-resistant Ferrium C64 is the culmination of a rigorous design process that bypassed extensive physical experimentation—delivering a carburizable steel with unmatched capability.
Journal Articles
AI for Materials Development is Coming of Age
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AM&P Technical Articles (2021) 179 (6): 21–23.
Published: 01 September 2021
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Despite challenges, research and development scientists are increasingly turning to artificial intelligence when creating new materials. This article outlines what AI can do and why businesses are using it, illustrated by examples.
Journal Articles
Optimizing 3D-Printed, Reusable Metal N95 Filters by 3D Characterization and Modeling
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AM&P Technical Articles (2021) 179 (2): 23–26.
Published: 01 February 2021
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View articletitled, Optimizing 3D-Printed, Reusable Metal N95 Filters by 3D Characterization and Modeling
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As N95 masks are in short supply and high demand, reusable, sterilizable metal filters for masks built using 3D microstructural characterization and simulation methods are a promising alternative.
Journal Articles
New Nickel-Base Superalloys Withstand Extreme Temperatures
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AM&P Technical Articles (2019) 177 (4): 26–28.
Published: 01 May 2019
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Hot section components of next-generation energy systems call for superalloys that can handle the heat. This article describes some recent advances in superalloy research and development, including characterization and modeling tools that are key to developing and understanding the formation of new superalloys capable of withstanding extreme environments.
Journal Articles
Combinatorial Screening of Thermoelectric Materials
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AM&P Technical Articles (2019) 177 (3): 24–25.
Published: 01 April 2019
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Advanced thermoelectric materials open new horizons for use in solid state power generation and refrigeration applications. This article describes a project that used state-of-the-art computational modeling and high-throughput experimentation to strategically screen the extensive material space and accelerate learning for materials development.
Journal Articles
Today’s Technology Trends: Shaping the Future of Advanced Materials
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AM&P Technical Articles (2018) 176 (5): 14–17.
Published: 01 July 2018
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To learn about the latest trends in advanced materials, we turned to four of ASM’s thought leaders: John Ågren, KTH Royal Institute of Technology; George T. (Rusty) Gray III, Los Alamos National Laboratory; Jennie S. Hwang, H-Technologies Group; and David K. Matlock, Colorado School of Mines. This article presents their perspectives on the future of engineered materials, key areas of opportunity, and what ASM can do to support the next generation of materials scientists and engineers.
Journal Articles
Automotive Industry Partnership Paves the Way for Advanced High-Strength Steel
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AM&P Technical Articles (2017) 175 (4): 25–27.
Published: 01 May 2017
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Scientists and engineers working on behalf of the U.S. automotive industry are nearing completion of a multiyear effort to accelerate the incorporation of advanced high-strength steels in American-made cars and trucks. This article reports on work to develop and validate an integrated computational materials engineering (ICME) model optimized for third-generation advanced high-strength steels.
Journal Articles
3D Microstructures for Materials and Damage Models
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AM&P Technical Articles (2017) 175 (2): 16–20.
Published: 01 February 2017
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This article describes research at Los Alamos National Laboratory that is aimed at building a coupled experimental and computational methodology that supports the development of predictive damage capabilities by: (1) capturing real distributions of microstructural features from real material and implementing them as digitally generated microstructures in damage model development, and (2) distilling structure-property information to link microstructural details to damage evolution under a multitude of loading states.
Journal Articles
Computational Thermodynamics and Kinetics for Magnesium Alloy Development
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AM&P Technical Articles (2015) 173 (1): 26–30.
Published: 01 January 2015
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Computational thermodynamics and CALPHAD modeling prove useful for selecting and developing new magnesium alloys. This article summarizes an ongoing effort to establish a scientific foundation of computational thermodynamics and kinetics of magnesium alloys to achieve accelerated design and optimization of these alloys for weight reduction in the transportation industries.
Journal Articles
Validating Models Using 3D Microstructural Characterization
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AM&P Technical Articles (2014) 172 (9): 17–20.
Published: 01 September 2014
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In order to take full advantage of the promise of recent computational efforts, new microstructural models that consider realistic shapes, connectivities, and distributions are required. Characterizing materials in 3D is necessary to reveal the actual distributions of relevant microstructural characteristics and thereby enable development of realistic models to predict the behavior of new materials. This article describes methods to model grain size distributions and presents case studies in cementite precipitation morphology and coarse martensite analysis.
Journal Articles
ICME Helps Develop Friction Stir Welding Process for Steels
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AM&P Technical Articles (2014) 172 (4): 30–31.
Published: 01 April 2014
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Integrated computational materials engineering (ICME) is a relatively new discipline that shows great promise for reducing the cost and time required to design and deploy new materials, manufacturing technologies, and products. This article introduces an ICME implementation framework for product development using modeling of a friction stir welding process as an example.
Journal Articles
Integrated Computational Materials Engineering Helps Successfully Develop Aerospace Alloys
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AM&P Technical Articles (2013) 171 (9): 17–19.
Published: 01 September 2013
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Integrated computational materials engineering has proven effective in shrinking materials development timelines and accelerating the implementation of new materials in manufactured components. This article presents examples of aerospace alloys developed using ICME techniques and provides a glimpse of future applications.
Journal Articles
ICME Tools Can Help Control Gear Distortion from Heat Treating
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AM&P Technical Articles (2013) 171 (9): 55–58.
Published: 01 September 2013
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Engineers at the Ford Motor Co. are using integrated computational materials engineering (ICME) tools, allowing them to accurately simulate the heat treatment of gears and predict phase transformation kinetics and distortion.
Journal Articles
Integrated Computational Materials Engineering and the Materials Genome Initiative: Accelerating Materials Innovation
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AM&P Technical Articles (2013) 171 (3): 28–31.
Published: 01 March 2013
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This article discusses the thinking behind the U.S. Materials Genome Initiative (MGI), the central role of integrated computational materials engineering (ICME), the expected gains, and the prospects for success.