Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Michael A. Groeber"'
Autor:
Michael A. Groeber, Edwin J. Schwalbach, Andrew Chihpin Chuang, Paul A. Shade, William D. Musinski, Jun-Sang Park
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:525-541
A machine component fabricated by additive manufacturing (AM) of metal powders often possesses steep residual stress gradients with significant magnitudes due to large temperature gradients that transpire within a localized area during fabrication. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6626b36dc99ca501679b8b463e9d3ee
https://doi.org/10.1007/s40192-021-00233-4
https://doi.org/10.1007/s40192-021-00233-4
Publikováno v:
JOM. 73:3240-3249
In this work, we investigate a framework for collecting, processing, and registering in-process monitoring data from an additive manufacturing build with post-build inspection data obtained from CT scans of the produced samples. In addition to proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dce98d66bc1547e79fab1a61d893cb38
https://doi.org/10.1007/s11837-021-04885-7
https://doi.org/10.1007/s11837-021-04885-7
Publikováno v:
JOM. 73:3250-3262
While metal additive manufacturing (AM) offers significant benefits, such as design flexibility and lead time improvements, over traditional manufacturing approaches, the complexity of metal AM processing presents a challenge for understanding and ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7471e303c8abfd0b5ce94f6dab26bdf7
https://doi.org/10.1007/s11837-021-04883-9
https://doi.org/10.1007/s11837-021-04883-9
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:319-337
The Air Force Research Laboratory Additive Manufacturing Modeling Series was executed to create calibration and validation data sets relevant to models of laser powder bed fusion-processed metallic materials. This article describes the data generated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a8dd498dc31df5d920cb087d5aacebb
https://doi.org/10.1007/s40192-021-00220-9
https://doi.org/10.1007/s40192-021-00220-9
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:125-128
The Air Force Research Laboratory Additive Manufacturing Modeling Challenge series launched in November 2019 was devised as a means to assess the Additive Manufacturing modeling community’s ability to predict, in a locally resolved fashion, details
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7246de41057b3bf6c1df015fc967f489
https://doi.org/10.1007/s40192-021-00215-6
https://doi.org/10.1007/s40192-021-00215-6
Autor:
Matt McCormick, Dennis M. Dimiduk, Dženan Zukić, Michael A. Jackson, Sean P. Donegan, Michael A. Groeber
Publikováno v:
Integrating Materials and Manufacturing Innovation. 10:115-124
Stitching partially overlapping image tiles into a montage is a common requirement for materials microscopy. We developed ITKMontage, a new module for the open-source Insight Toolkit (ITK), capable of robustly and quickly generating extremely large,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a598bbb0f2f4b9e22d735826159c738e
https://doi.org/10.1007/s40192-021-00202-x
https://doi.org/10.1007/s40192-021-00202-x
Publikováno v:
Structural and Multidisciplinary Optimization. 63:2811-2833
Methods based on Gaussian stochastic process (GSP) models and expected improvement (EI) functions have been promising for box-constrained expensive optimization problems. These include robust design problems with environmental variables having set-ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20ca4cd2764c937f0e9324d6ff7c6df1
https://doi.org/10.1007/s00158-021-02843-0
https://doi.org/10.1007/s00158-021-02843-0
Publikováno v:
JOM. 72:4393-4403
Laser powder bed fusion additive manufacturing (AM) is a highly active research area in the materials and manufacturing community, driven by promises of reduced lead time, increased design flexibility, and potentially location-specific process contro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be74dd9f0edd13fcf172fbd16ff0d33
https://doi.org/10.1007/s11837-020-04383-2
https://doi.org/10.1007/s11837-020-04383-2
Publikováno v:
Additive Manufacturing. 25:485-498
Significant attention has been focused on modeling of metallic additive manufacturing (AM) processes, with the initial aim of predicting local thermal history, and ultimately structure and properties. Existing models range greatly in physical complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919aa217f0707ea275ee79e3ca8f1bcb
https://doi.org/10.1016/j.addma.2018.12.004
https://doi.org/10.1016/j.addma.2018.12.004
Autor:
Michael A. Groeber, Sean P. Donegan
Publikováno v:
Integrated Computational Materials Engineering (ICME) ISBN: 9783030405618
Integrated computational materials engineering (ICME) represents a grand challenge within materials research and development. Effective ICME involves coupling materials characterization and experimentation with simulation tools to produce a holistic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d63843ebd615fa117b8ef62297b3a106
https://doi.org/10.1007/978-3-030-40562-5_2
https://doi.org/10.1007/978-3-030-40562-5_2
