000 | 05798nam a22006855i 4500 | ||
---|---|---|---|
001 | 978-3-031-50474-7 | ||
003 | DE-He213 | ||
005 | 20250516155957.0 | ||
007 | cr nn 008mamaa | ||
008 | 240219s2024 sz | s |||| 0|eng d | ||
020 |
_a9783031504747 _9978-3-031-50474-7 |
||
050 | 4 | _aT55.4-60.8 | |
072 | 7 |
_aTGP _2bicssc |
|
072 | 7 |
_aTEC009060 _2bisacsh |
|
072 | 7 |
_aTGP _2thema |
|
082 | 0 | 4 |
_a670 _223 |
245 | 1 | 0 |
_aAdditive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 _h[electronic resource] : _bProceedings of the 2023 Annual Conference & Exposition on Experimental and Applied Mechanics / _cedited by Sharlotte L.B. Kramer, Emily Retzlaff, Piyush Thakre, Johan Hoefnagels, Marco Rossi, Attilio Lattanzi, François Hemez, Mostafa Mirshekari, Austin Downey. |
250 | _a1st ed. 2024. | ||
264 | 1 |
_aCham : _bSpringer Nature Switzerland : _bImprint: Springer, _c2024. |
|
300 |
_aVII, 102 p. 86 illus., 73 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aConference Proceedings of the Society for Experimental Mechanics Series, _x2191-5652 |
|
505 | 0 | _aChapter 1. Quantifying residual stresses generated by laser powder bed fusion of metallic samples -- Chapter 2. Loading-Unloading Compressive Response and Energy Dissipation of Liquid Crystal Elastomers and Their 3D Printed Lattice Structures at Low and Intermediate Strain Rates -- Chapter 3. Residual Stress Induced in Thin Plates During Additive Manufacturing -- Chapter 4. Investigating the Effects of Acetone Vapor Treatment and Post Drying Conditions on Tensile and Fatigue behavior of 3D Printed ABS Components -- Chapter 5. Mechanics of Novel Double-Rounded-V Hierarchical Auxetic Structure - Finite Element Analysis and Experiments Using Three-dimensional Digital Image Correlation -- Chapter 6. Repeatability of Residual Stress in Replicate Additively Manufactured 316L Stainless Steel Samples -- Chapter 7. Acoustic nondestructive characterization of metal pantographs for material and defect identification -- Chapter 8. Rapid prototyping of a micro-scale spectroscopic system by two-photondirect laser writing -- Chapter 9. Bioinspired Interfaces for Improved Interlaminar Shear Strength in 3D Printed Multi-Material Polymer Composites -- Chapter 10. Thermo-mechanical Characterization of High-strength Steel through Inverse Methods -- Chapter 11. A multi-testing approach for the full calibration of 3D anisotropic plasticity models via inverse methods -- Chapter 12. Finite Element Based Material Property Identification Utilizing Full-Field Deformation Measurements -- Chapter 13. Data-driven material models for engineering materials subjected to arbitrary loading paths: influence of the dimension of the dataset -- Chapter 14. Data-driven methodology to extract stress fields in materials subjected to dynamic loading. | |
520 | _aAdditive and Advanced Manufacturing, Inverse Problem Methodologies and Machine Learning and Data Science, Volume 4 of the Proceedings of the 2023 SEM Annual Conference & Exposition on Experimental and Applied Mechanics, the fourth volume of five from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of topics and includes papers in the following general technical research areas: AM Composites and Polymers Dynamic Behavior of Additively Manufactured Materials and Structures Joint Residual Stress and Additive Manufacturing ML for Material Model Identification Novel AM Structures Novel Processing and Testing of Additively Manufactured Materials Plasticity and Complex Material Behavior Virtual Fields Method. | ||
541 |
_fUABC ; _cPerpetuidad |
||
650 | 0 | _aIndustrial engineering. | |
650 | 0 | _aProduction engineering. | |
650 | 0 | _aMachine learning. | |
650 | 0 |
_aArtificial intelligence _xData processing. |
|
650 | 0 |
_aMaterials _xAnalysis. |
|
650 | 1 | 4 | _aIndustrial and Production Engineering. |
650 | 2 | 4 | _aMachine Learning. |
650 | 2 | 4 | _aData Science. |
650 | 2 | 4 | _aMaterials Characterization Technique. |
700 | 1 |
_aKramer, Sharlotte L.B. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRetzlaff, Emily. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aThakre, Piyush. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aHoefnagels, Johan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aRossi, Marco. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aLattanzi, Attilio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aHemez, François. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aMirshekari, Mostafa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
700 | 1 |
_aDowney, Austin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783031504730 |
776 | 0 | 8 |
_iPrinted edition: _z9783031504754 |
776 | 0 | 8 |
_iPrinted edition: _z9783031504761 |
830 | 0 |
_aConference Proceedings of the Society for Experimental Mechanics Series, _x2191-5652 |
|
856 | 4 | 0 |
_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-50474-7 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cLIBRO_ELEC | ||
999 |
_c274218 _d274217 |