Search Results for industrial computed tomography

Industrial computed tomography data analysis is harnessing deep learning to both accelerate in-line inspection and build better products. This article includes a case history involving deep learning industrial CT scan data analysis.

Fire risk in electric vehicle batteries can be reduced by detecting flaws through nondestructive visualization. Industrial computed tomography (CT scanning) combined with advanced software that makes sense of CT-generated images, allows users to measure voids and particle sizes within electrode active material during the research and development phase, detect delamination and contamination during cell manufacturing, analyze electrical connections and electrolyte fill levels, and provide many other quality-assurance functions that were once impractical or even impossible to perform.

Wavelength-dependent or hyperspectral imaging is a novel nondestructive characterization technique in the field of neutron radiography and computed tomography. A dedicated facility named VENUS is currently being built at Oak Ridge National Laboratory to provide these characterization capabilities for academia, industry, and other national laboratories. This feature article describes the VENUS capabilities for materials science and engineering, provides a quick overview of the modes of access of the facility, and illustrates the nondestructive measurements and interpretation of results.

Two case studies highlight the strengths and weaknesses between traditional metallurgical techniques and 3D micro-computed tomography, as well as the interplay between the two.

Neutron-based imaging and measurement techniques are an ideal complement to x-ray methods for characterizing additively manufactured materials and components. This article presents examples showing how neutron radiography and residual strain measurements reveal the internal structure and stress distributions in highly engineered turbine blades produced by additive processes. It also discusses the development of neutron characterization tools at ORNL and a recent effort in which they were used to evaluate stress-relief treatments for large-scale metal AM structures.

This article provides an overview of nondestructive test methods and their application in the study of material properties and structures. It covers the most widely used NDT technologies, including optical examination, radiography, acoustic emission, and ultrasonic testing, and discusses the impact of recent advancements.

This article reviews the analytical techniques used for phase identification in components, including x-ray diffraction, metallography/microscopy, electron backscatter diffraction, trasmission electron microscopy,and atom probe tomography. The article addresses the advantages and disadvantages of each technique compared to the other approaches.

X-ray microscopy (XRM) offers long working distances and switchable magnification, facilitating time-resolved volumetric investigation of materials and structures. Examples show how XRM opens new windows into microstructure evolution processes in functional materials such as batteries, in response to charge state, and polymer foams, in response to compression loading.

In Germany, the Federal Institute for Materials Research and Testing (BAM) is addressing challenges in the implementation of additive manufacturing on the industrial landscape for safety-critical applications. This article provides an overview of BAM’s activities in additive manufacturing with a focus on safety (both for applications and the environment) and AM technology innovation for a wide range of materials and manufacturing locations.

Laser powder bed fusion (LBFP) additive manufacturing is a potential route for the rapid qualification of new materials for use in nuclear reactor design. Process anomalies such as spatter particles can induce lack of fusion (LOF) voids that may adversely affect the material's mechanical performance. This examination of the spatter particle process in a nickel superalloy using X-ray computed tomography and optical microscopy was conducted to identify possible causes for the formation of LOF voids and other variations during LBPF processing.

A world-renowned archaeometallurgist reflects on his career within the discipline and the technological advancements he witnessed during five decades out in the field and at the microscope.

Corrosion is commonly defined as the deterioration of a material or its properties because of a reaction with its environment. It is a natural process due to a high energy state induced in metals and alloys during refining, processing, and manufacturing. Modern methods for preventing and controlling corrosion can reduce or eliminate its impact on public safety, the economy, and the environment. New technologies push materials to withstand increasingly demanding conditions as a result of higher temperatures and pressures, and environments with greater corrosivity. Therefore, the risks of new types of corrosion failures need to be considered along with methods to avoid them, as described in this article.

News about ASM members, chapters, events, awards, conferences, affiliates, and other society activities. Topics include: ASM announces 2019 class of Fellows; ASM Indian Institute of Metals announces recipients of 2019 ASM/IIM Visiting Lectureship; Helmut Clemens named 2019 Henry Clifton Sorby awardee; contributor profile for J. Gilbert (Gil) Kaufman; volunteer profile for Chris Marvel; professional profile for Karen Sabo.

This article explains how SEM, TEM, and atom probe tomography are being used in the development of additively manufactured high-entropy alloys (HEAs), revealing critical features such as anisotropic microstructure and metallurgical defects. It also discusses ongoing efforts to improve the predictability and analysis of HEA microstructure using data-driven approaches.

The July and September issues of the Journal of Materials Engineering and Performance (JMEP) were special issues focused on additive manufacturing. The issues were guest edited by William E. Frazier, FASM, Pilgrim Consulting LLC and editor of JMEP; Rick Russell, NASA; Yan Lu, NIST; Brandon D. Ribic, America Makes; and Caroline Vail, NSWC Carderock. The highlighted articles described in this article were selected by Dr. Frazier to showcase the varied topics covered in the special issues.

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.

Additive manufacturing by itself provides many benefits, but by combining different materials processing techniques like traditional casting with additive manufacturing to create hybrid processes, custom materials can be tailor-made and mass produced for applications with specific performance needs. This article reports on research to create metal-metal interpenetrating phase composite materials using additive manufacturing and casting methods in combination.

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.

The NiTiHf alloy is one of the most extensively studied high-temperature shape memory alloys. This article reviews the key factors affecting the actuation fatigue performance of NiTiHf as well as the current state of research in this area, and it identifies some factors that require further study.

Affordable bulk production of a newly developed nanostructured bainitic steel is possible without using severe deformation or complex heat treatments. This article discusses the characteristics and significance of nanostructured bainite in terms of the transformation mechanism.