{"title":"基于参数的 RNN 湿摩擦元件形态微界面反演模型","authors":"","doi":"10.1016/j.aej.2024.09.003","DOIUrl":null,"url":null,"abstract":"<div><p>The interface morphology significantly impact the service life of wet clutches friction components in heavy tracked vehicle transmission systems. This paper designs a sliding test and utilizes a recurrent neural network (RNN) model to construct the three-dimensional morphology of the wet clutch friction interface under specific operating conditions. It also explores the relationship between these factors and clutch performance. The interface morphology characteristics are analyzed by the RNN inversion model to assess the effects of three working condition parameters including rotational speed, pressure, and sliding time. This research provides important primary data for engineering studies and applications aimed at optimizing the design of wet clutches and improving transmission system reliability.</p></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":null,"pages":null},"PeriodicalIF":6.2000,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1110016824010159/pdfft?md5=0fd89c4db54d81640158a5bb6a0728b1&pid=1-s2.0-S1110016824010159-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Parameter-based RNN micro-interface inversion model for wet friction components morphology\",\"authors\":\"\",\"doi\":\"10.1016/j.aej.2024.09.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The interface morphology significantly impact the service life of wet clutches friction components in heavy tracked vehicle transmission systems. This paper designs a sliding test and utilizes a recurrent neural network (RNN) model to construct the three-dimensional morphology of the wet clutch friction interface under specific operating conditions. It also explores the relationship between these factors and clutch performance. The interface morphology characteristics are analyzed by the RNN inversion model to assess the effects of three working condition parameters including rotational speed, pressure, and sliding time. This research provides important primary data for engineering studies and applications aimed at optimizing the design of wet clutches and improving transmission system reliability.</p></div>\",\"PeriodicalId\":7484,\"journal\":{\"name\":\"alexandria engineering journal\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":6.2000,\"publicationDate\":\"2024-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1110016824010159/pdfft?md5=0fd89c4db54d81640158a5bb6a0728b1&pid=1-s2.0-S1110016824010159-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"alexandria engineering journal\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1110016824010159\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016824010159","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Parameter-based RNN micro-interface inversion model for wet friction components morphology
The interface morphology significantly impact the service life of wet clutches friction components in heavy tracked vehicle transmission systems. This paper designs a sliding test and utilizes a recurrent neural network (RNN) model to construct the three-dimensional morphology of the wet clutch friction interface under specific operating conditions. It also explores the relationship between these factors and clutch performance. The interface morphology characteristics are analyzed by the RNN inversion model to assess the effects of three working condition parameters including rotational speed, pressure, and sliding time. This research provides important primary data for engineering studies and applications aimed at optimizing the design of wet clutches and improving transmission system reliability.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering