A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures
Surface texturing is an effective method to reduce friction without the need to change materials. In this study, surface textures were transferred to rubber samples in the form of dimples, using a novel laser surface texturing (LST)—based texturing during moulding (TDM) production process, developed...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | Lubricants |
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| Online Access: | https://www.mdpi.com/2075-4442/9/5/57 |
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| author | Valentina Zambrano Markus Brase Belén Hernández-Gascón Matthias Wangenheim Leticia A. Gracia Ismael Viejo Salvador Izquierdo José Ramón Valdés |
| author_facet | Valentina Zambrano Markus Brase Belén Hernández-Gascón Matthias Wangenheim Leticia A. Gracia Ismael Viejo Salvador Izquierdo José Ramón Valdés |
| author_sort | Valentina Zambrano |
| collection | DOAJ |
| description | Surface texturing is an effective method to reduce friction without the need to change materials. In this study, surface textures were transferred to rubber samples in the form of dimples, using a novel laser surface texturing (LST)—based texturing during moulding (TDM) production process, developed within the European Project MouldTex. The rubber samples were used to experimentally determine texture-induced friction variations, although, due to the complexity of manufacturing, only a limited amount was available. The tribological friction measurements were hence combined with an artificial intelligence (AI) technique, i.e., Reduced Order Modelling (ROM). ROM allows obtaining a virtual representation of reality through a set of numerical strategies for problem simplification. The ROM model was created to predict the friction outcome under different operating conditions and to find optimised dimple parameters, i.e., depth, diameter and distance, for friction reduction. Moreover, the ROM model was used to evaluate the impact on friction when manufacturing deviations on dimple dimensions were observed. These results enable industrial producers to improve the quality of their products by finding optimised textures and controlling nominal surface texture tolerances prior to the rubber components production. |
| first_indexed | 2024-03-10T11:14:30Z |
| format | Article |
| id | doaj.art-b822fb9d75f84547a2885dd5644ddd33 |
| institution | Directory Open Access Journal |
| issn | 2075-4442 |
| language | English |
| last_indexed | 2024-03-10T11:14:30Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Lubricants |
| spelling | doaj.art-b822fb9d75f84547a2885dd5644ddd332023-11-21T20:33:28ZengMDPI AGLubricants2075-44422021-05-01955710.3390/lubricants9050057A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface TexturesValentina Zambrano0Markus Brase1Belén Hernández-Gascón2Matthias Wangenheim3Leticia A. Gracia4Ismael Viejo5Salvador Izquierdo6José Ramón Valdés7Instituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainInstitut für Dynamik und Schwingungen—IDS, Leibniz Universität Hannover—LUH, An der Universität 1, 30823 Garbsen, GermanyInstituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainInstitut für Dynamik und Schwingungen—IDS, Leibniz Universität Hannover—LUH, An der Universität 1, 30823 Garbsen, GermanyInstituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainInstituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainInstituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainInstituto Tecnológico de Aragón—ITAINNOVA, C/María de Luna 7-8, 50018 Zaragoza, SpainSurface texturing is an effective method to reduce friction without the need to change materials. In this study, surface textures were transferred to rubber samples in the form of dimples, using a novel laser surface texturing (LST)—based texturing during moulding (TDM) production process, developed within the European Project MouldTex. The rubber samples were used to experimentally determine texture-induced friction variations, although, due to the complexity of manufacturing, only a limited amount was available. The tribological friction measurements were hence combined with an artificial intelligence (AI) technique, i.e., Reduced Order Modelling (ROM). ROM allows obtaining a virtual representation of reality through a set of numerical strategies for problem simplification. The ROM model was created to predict the friction outcome under different operating conditions and to find optimised dimple parameters, i.e., depth, diameter and distance, for friction reduction. Moreover, the ROM model was used to evaluate the impact on friction when manufacturing deviations on dimple dimensions were observed. These results enable industrial producers to improve the quality of their products by finding optimised textures and controlling nominal surface texture tolerances prior to the rubber components production.https://www.mdpi.com/2075-4442/9/5/57reduced order modellingdynamic frictionrubber seal applicationstensor decompositionlaser surface texturingtexturing during moulding |
| spellingShingle | Valentina Zambrano Markus Brase Belén Hernández-Gascón Matthias Wangenheim Leticia A. Gracia Ismael Viejo Salvador Izquierdo José Ramón Valdés A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures Lubricants reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding |
| title | A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures |
| title_full | A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures |
| title_fullStr | A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures |
| title_full_unstemmed | A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures |
| title_short | A Digital Twin for Friction Prediction in Dynamic Rubber Applications with Surface Textures |
| title_sort | digital twin for friction prediction in dynamic rubber applications with surface textures |
| topic | reduced order modelling dynamic friction rubber seal applications tensor decomposition laser surface texturing texturing during moulding |
| url | https://www.mdpi.com/2075-4442/9/5/57 |
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