Analytic roughness prediction by deep rolling

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: In: Denkena, B.; Abrão, A.; Krödel, A.; Meyer, K.: Analytic roughness prediction by deep rolling. In: Production Engineering 14 (2020), Nr. 3, S. 345-354. DOI: https://doi.org/10.1007/s11740-020-00961-0

Event: Veröffentlichung

(where): Hannover

(who): Gottfried Wilhelm Leibniz Universität Hannover

(when): 2020

Event: Veröffentlichung

(where): Hannover

(who): Technische Informationsbibliothek (TIB)

(when): 2020

Creator: Denkena, B.
Abrão, A.
Krödel, A.
Meyer, K.

DOI: 10.15488/15021

URN: urn:nbn:de:101:1-2023102602242363860215

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 25.03.2025, 1:56 PM CET

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Associated

Denkena, B.
Abrão, A.
Krödel, A.
Meyer, K.
Gottfried Wilhelm Leibniz Universität Hannover
Technische Informationsbibliothek (TIB)

Time of origin

2020

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Analytic roughness prediction by deep rolling

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Other Objects (12)

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Prediction of Roughness Effects on Wind Turbine Aerodynamics

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Deep Rolling of Bores Using Centrifugal Force

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Rembrandt's roughness

Damage accumulation based fatigue life prediction of rolling bearings

Automated geometry measurement and deep rolling of butt welds

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Model-based Control of the Strip Roughness in Cold Rolling

Prediction of Roughness Effects on Wind Turbine Aerodynamics

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Deep Rolling of Bores Using Centrifugal Force

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Surface topography after deep rolling with milling kinematics

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Damage accumulation based fatigue life prediction of rolling bearings

Automated geometry measurement and deep rolling of butt welds

The Influence of Material Roughness, Hardness and Lubricant Additives on Micropitting Behaviour in Rolling-Sliding Contacts

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French Response to COVID-19 Crisis : Rolling into the Deep*

Model-based Control of the Strip Roughness in Cold Rolling

Prediction of Roughness Effects on Wind Turbine Aerodynamics

Time-efficient Prediction of the Surface Layer State after Deep Rolling using Similarity Mechanics Approach

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