Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Electronic eBook |
| Language: | English |
| Published: |
Berlin
2022
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| Subjects: | |
| Online Access: | Volltext |
| Physical Description: | 1 Online-Ressource (ix, 159 Seiten) Illustrationen, Diagramme |
| DOI: | 10.14279/depositonce-15317 |
Staff View
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| 245 | 1 | 0 | |a Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |c vorgelegt von M.Sc. Ehsan Javaheri |
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Record in the Search Index
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| spelling | Javaheri, Ehsan Verfasser (DE-588)1254514058 aut Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels vorgelegt von M.Sc. Ehsan Javaheri Berlin 2022 1 Online-Ressource (ix, 159 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität Berlin 2022 Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Schweißkonstruktion (DE-588)4121635-0 gnd rswk-swf Bauteil (DE-588)4144198-9 gnd rswk-swf Eindringverfahren (DE-588)4573996-1 gnd rswk-swf Stoffeigenschaft (DE-588)4192147-1 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Bauteil (DE-588)4144198-9 s Schweißkonstruktion (DE-588)4121635-0 s Stoffeigenschaft (DE-588)4192147-1 s Eindringverfahren (DE-588)4573996-1 s Neuronales Netz (DE-588)4226127-2 s DE-604 Erscheint auch als Druck-Ausgabe (DE-604)BV047903616 https://doi.org/10.14279/depositonce-15317 Resolving-System kostenfrei Volltext |
| spellingShingle | Javaheri, Ehsan Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels Neuronales Netz (DE-588)4226127-2 gnd Schweißkonstruktion (DE-588)4121635-0 gnd Bauteil (DE-588)4144198-9 gnd Eindringverfahren (DE-588)4573996-1 gnd Stoffeigenschaft (DE-588)4192147-1 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4121635-0 (DE-588)4144198-9 (DE-588)4573996-1 (DE-588)4192147-1 (DE-588)4113937-9 |
| title | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| title_auth | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| title_exact_search | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| title_exact_search_txtP | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| title_full | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels vorgelegt von M.Sc. Ehsan Javaheri |
| title_fullStr | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels vorgelegt von M.Sc. Ehsan Javaheri |
| title_full_unstemmed | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels vorgelegt von M.Sc. Ehsan Javaheri |
| title_short | Qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| title_sort | qualification of the instrumented indentation technique for the parameter identification of welded advanced high strength steels |
| topic | Neuronales Netz (DE-588)4226127-2 gnd Schweißkonstruktion (DE-588)4121635-0 gnd Bauteil (DE-588)4144198-9 gnd Eindringverfahren (DE-588)4573996-1 gnd Stoffeigenschaft (DE-588)4192147-1 gnd |
| topic_facet | Neuronales Netz Schweißkonstruktion Bauteil Eindringverfahren Stoffeigenschaft Hochschulschrift |
| url | https://doi.org/10.14279/depositonce-15317 |
| work_keys_str_mv | AT javaheriehsan qualificationoftheinstrumentedindentationtechniquefortheparameteridentificationofweldedadvancedhighstrengthsteels |