Integrating Materials and Manufacturing Innovation OnlineFirst articles

23.05.2024 | Thematic Section: 7th World Congress on Integrated Computational Materials Engineering

Model-Based Material and Process Definitions for Additive Manufactured Component Design and Qualification

Physics-based materials and process modeling has developed to the point where it is supporting the design and qualification of new components produced by many processes, including additive manufacturing (AM). Combinations of computational models …

verfasst von:: David Furrer, Somnath Ghosh, Anthony Rollett, Sergei Burlatsky, Masoud Anahid

Open Access 16.05.2024 | Technical Article

Framework for the Generation of 3D Fiber Composite Structures from 2D Observations

Synthetic generation of realistic materials for testing of process–structure–property (PSP) relationships in computational materials science has gained significant traction over the past two decades. Generation tools continue to lag in some …

verfasst von:: Kenneth M. Clarke, John Wertz, Michael Groeber

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15.05.2024 | Thematic Section: 7th World Congress on Integrated Computational Materials Engineering

Evolution of Model-Based Materials Definitions

Design, development, and manufacture of materials and components are inextricably linked to the methods to define the material and how it will be applied to component design and production, qualification, and certification. The available means of …

verfasst von:: David U. Furrer, Dennis M. Dimiduk, Charles H. Ward

13.05.2024 | Thematic Section: Harnessing the Power of Materials Data

Annotating Materials Science Text: A Semi-automated Approach for Crafting Outputs with Gemini Pro

Recent advancements in large language models (LLMs) have paved the way for automated information extraction in the materials science domain. However, fine-tuning these models, crucial for effective machine learning pipelines in materials science …

verfasst von:: Hasan M. Sayeed, Trupti Mohanty, Taylor D. Sparks

Open Access 07.05.2024 | Thematic Section: Additive Manufacturing Benchmarks 2022

Cross-Sectional Melt Pool Geometry of Laser Scanned Tracks and Pads on Nickel Alloy 718 for the 2022 Additive Manufacturing Benchmark Challenges

The Additive Manufacturing Benchmark Series (AM Bench) is a NIST-led organization that provides a continuing series of additive manufacturing benchmark measurements, challenge problems, and conferences with the primary goal of enabling modelers to …

verfasst von:: Jordan S. Weaver, David Deisenroth, Sergey Mekhontsev, Brandon M. Lane, Lyle E. Levine, Ho Yeung

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Open Access 30.04.2024 | Thematic Section: Harnessing the Power of Materials Data

Multi-objective Optimization-Oriented Generative Adversarial Design for Multi-principal Element Alloys

The discovery of novel alloys, such as multi-principal element alloys (MPEAs)—inclusive of the so-called high-entropy alloys—remains essential for technological advancement. Multi-principal element alloys can manifest uniquely favorable mechanical …

verfasst von:: Z. Li, N. Birbilis

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Open Access 16.04.2024 | Technical Article

Material Property Prediction Using Graphs Based on Generically Complete Isometry Invariants

The structure–property hypothesis says that the properties of all materials are determined by an underlying crystal structure. The main obstacle was the ambiguity of conventional crystal representations based on incomplete or discontinuous …

verfasst von:: Jonathan Balasingham, Viktor Zamaraev, Vitaliy Kurlin

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Open Access 09.04.2024 | Thematic Section: Harnessing the Power of Materials Data

Semantics-Enabled Data Federation: Bringing Materials Scientists Closer to FAIR Data

The development and discovery of new materials can be significantly enhanced through the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles and the establishment of a robust data infrastructure in support of …

verfasst von:: Kareem S. Aggour, Vijay S. Kumar, Vipul K. Gupta, Alfredo Gabaldon, Paul Cuddihy, Varish Mulwad

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Open Access 03.04.2024 | Technical Article

Online Measurement for Parameter Discovery in Fused Filament Fabrication

To describe a new method for the automatic generation of process parameters for fused filament fabrication (FFF) across varying machines and materials. We use an instrumented extruder to fit a function that maps nozzle pressures across varying …

verfasst von:: Jake Robert Read, Jonathan E. Seppala, Filippos Tourlomousis, James A. Warren, Nicole Bakker, Neil Gershenfeld

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25.03.2024 | Technical Article

Three-Dimensional Prediction of Lack-of-Fusion Porosity Volume Fraction and Morphology for Powder Bed Fusion Additively Manufactured Ti–6Al–4V

Powder bed fusion (PBF) is an additive manufacturing technique that has experienced widespread growth in recent years due to various process advantages. However, defects such as porosity and the effects that porosity have on the mechanical …

verfasst von:: Vamsi Subraveti, Brodan Richter, Saikumar R. Yeratapally, Caglar Oskay

25.03.2024 | Technical Article

A Comparative Study of Clustering Methods for Nanoindentation Mapping Data

Nanoindentation testing and instrumented indentation remain regularly utilized techniques for the assessment of multi-scale mechanical characteristics from load–displacement data analysis, which is central to twenty first century material …

verfasst von:: Mehrnoush Alizade, Rushabh Kheni, Stephen Price, Bryer C. Sousa, Danielle L. Cote, Rodica Neamtu

22.03.2024 | Thematic Section: Harnessing the Power of Materials Data

A Case Study of Multimodal, Multi-institutional Data Management for the Combinatorial Materials Science Community

Although the convergence of high-performance computing, automation, and machine learning has significantly altered the materials design timeline, transformative advances in functional materials and acceleration of their design will require …

verfasst von:: Sarah I. Allec, Eric S. Muckley, Nathan S. Johnson, Christopher K. H. Borg, Dylan J. Kirsch, Joshua Martin, Rohit Pant, Ichiro Takeuchi, Andrew S. Lee, James E. Saal, Logan Ward, Apurva Mehta

Open Access 19.03.2024 | Thematic Section: Harnessing the Power of Materials Data

High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models

Consolidating published research on aluminum alloys into insights about microstructure–property relationships can simplify and reduce the costs involved in alloy design. One critical design consideration for many heat-treatable alloys deriving …

verfasst von:: Luca Montanelli, Vineeth Venugopal, Elsa A. Olivetti, Marat I. Latypov

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