AUTOMATED DEFECT SIZE DETERMINATION FOR GEAR TOOTH ROOT BENDING STRENGTH SIMULATION

C. Brecher, Christoph Loepenhaus, J. Pollaschek
{"title":"AUTOMATED DEFECT SIZE DETERMINATION FOR GEAR TOOTH ROOT BENDING STRENGTH SIMULATION","authors":"C. Brecher, Christoph Loepenhaus, J. Pollaschek","doi":"10.2495/MC170091","DOIUrl":null,"url":null,"abstract":"Gear transmissions are central parts in mechanical drive trains, and therefore are present in many fields of mechanical engineering. Continuously increasing requirements in gear technology regarding high power density, low noise, weight and costs as well as small gearbox size, lead to growing demand of optimized gear designs. The calculation of load carrying capacity for the tooth root delivers an easy to apply methodology, but does not fully exploit the potential of creating extremely lightweight, yet strong enough gears. Therefore, methods are needed that enable exact predictions of load carrying capacity based on local strain and material properties. FE-based methods are capable of evaluating local stresses in the tooth root accurately. In combination with local material strength models such as the InclusionBased Weakest Link Model, accurate lifetime predictions of gears can be made. In this paper, a combinational approach of the FE-based tooth contact analysis, together with the Inclusion-Based Weakest Link Model, is presented. A helical gear set will be investigated based on gear geometry and measured material properties such as Vickers hardness, residual stresses and material defects. A new approach to determine the material defects via automated microsection analysis is presented. To determine the defect size inside of the gear material, breakage surfaces were analyzed and then statistically evaluated in past research activities at the Laboratory for Machine Tools and Production Engineering in Aachen. This method is time consuming, and necessitates the generation of gear breakages in tests before the actual simulation. The presented method allows for defect size determination by optical analysis of non-etched microsections of the gear material, and therefore an a-priori assessment of gear durability before actual tests have been conducted. To validate this method, practical load carrying capacity tests of the investigated gears are presented and compared to the simulation results.","PeriodicalId":23647,"journal":{"name":"WIT transactions on engineering sciences","volume":"55 1","pages":"87-97"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"WIT transactions on engineering sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2495/MC170091","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Gear transmissions are central parts in mechanical drive trains, and therefore are present in many fields of mechanical engineering. Continuously increasing requirements in gear technology regarding high power density, low noise, weight and costs as well as small gearbox size, lead to growing demand of optimized gear designs. The calculation of load carrying capacity for the tooth root delivers an easy to apply methodology, but does not fully exploit the potential of creating extremely lightweight, yet strong enough gears. Therefore, methods are needed that enable exact predictions of load carrying capacity based on local strain and material properties. FE-based methods are capable of evaluating local stresses in the tooth root accurately. In combination with local material strength models such as the InclusionBased Weakest Link Model, accurate lifetime predictions of gears can be made. In this paper, a combinational approach of the FE-based tooth contact analysis, together with the Inclusion-Based Weakest Link Model, is presented. A helical gear set will be investigated based on gear geometry and measured material properties such as Vickers hardness, residual stresses and material defects. A new approach to determine the material defects via automated microsection analysis is presented. To determine the defect size inside of the gear material, breakage surfaces were analyzed and then statistically evaluated in past research activities at the Laboratory for Machine Tools and Production Engineering in Aachen. This method is time consuming, and necessitates the generation of gear breakages in tests before the actual simulation. The presented method allows for defect size determination by optical analysis of non-etched microsections of the gear material, and therefore an a-priori assessment of gear durability before actual tests have been conducted. To validate this method, practical load carrying capacity tests of the investigated gears are presented and compared to the simulation results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
齿轮齿根弯曲强度模拟中缺陷尺寸的自动确定
齿轮传动是机械传动系统的核心部件,因此在机械工程的许多领域都有应用。齿轮技术对高功率密度、低噪音、重量和成本以及小齿轮尺寸的要求不断提高,导致对优化齿轮设计的需求不断增长。齿根承载能力的计算提供了一种易于应用的方法,但没有充分利用创造极轻的潜力,但足够强的齿轮。因此,需要能够根据局部应变和材料特性准确预测承载能力的方法。基于有限元的方法能够准确地评估牙根局部应力。结合局部材料强度模型,如基于内含物的最薄弱环节模型,可以对齿轮进行准确的寿命预测。本文提出了一种基于有限元的齿面接触分析与基于包含的最薄弱环节模型相结合的方法。一个斜齿轮组将调查基于齿轮几何和测量的材料性能,如维氏硬度,残余应力和材料缺陷。提出了一种通过自动显微切片分析来确定材料缺陷的新方法。为了确定齿轮材料内部的缺陷大小,在亚琛机床和生产工程实验室过去的研究活动中,对断裂表面进行了分析,然后进行了统计评估。该方法耗时长,且需要在实际模拟前在试验中生成齿轮断裂。提出的方法允许通过对齿轮材料的非蚀刻显微切片的光学分析来确定缺陷尺寸,因此在进行实际测试之前对齿轮耐久性进行先验评估。为了验证该方法的有效性,给出了所研究齿轮的实际承载能力试验,并与仿真结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
期刊最新文献
ACCURATE FAST MULTIPOLE SCHEME FOR THE BOUNDARY ELEMENT ANALYSIS OF THREE-DIMENSIONAL LINEAR POTENTIAL PROBLEMS CHARACTERIZATION OF VECTOR FIELDS BASED ON AN ANALYSIS OF THEIR LOCAL EXPANSIONS FINITE LINE METHOD FOR SOLVING CONVECTION–DIFFUSION EQUATIONS IMPLICATIONS OF STOKES–CARTAN THEOREM TO TIME-HARMONIC ACOUSTIC BOUNDARY INTEGRAL EQUATION FORMULATIONS RECENT ADVANCES IN LOCALIZED COLLOCATION SOLVERS BASED ON SEMI-ANALYTICAL BASIS FUNCTIONS
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1