GEAR TOOTH BENDING FATIGUE LIFE PREDICTION USING INTEGRATED COMPUTATIONAL MATERIAL ENGINEERING

被引：0

作者：

Oja, Michael E. ^{[1
]}

Wink, Carlos H. ^{[2
]}

Deo, Nikhil ^{[3
]}

McDaniels, Robert L. ^{[1
]}

Tryon, Robert G. ^{[1
]}

Dey, Animesh ^{[1
]}

Kulkarni, Sanjeev M. ^{[1
]}

机构：

[1] VEXTEC Corp, Brentwood, TN 37027 USA

[2] Eaton Vehicle Grp, Galesburg, MI USA

[3] Eaton, Pune, Maharashtra, India

来源：

PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2017, VOL 10 | 2017年

关键词：

CRACK GROWTH; STRENGTH; TEETH;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The paper presents a computational method to predict the cyclic life of gears subjected to single tooth bending fatigue, using VEXTEC's VPS-MICRO (R) software. The project was a collaborative effort between Eaton - Vehicle Group and VEXTEC Corporation to replicate physical testing virtually, more specifically to virtually determine bending fatigue curves of gears made from different steels. VPS-MICRO is based on VEXTEC's patented Virtual Life Management (R) (VLM (R)) technology which includes computational microstructural damage models to simulate the fatigue performance and calculate the lifetime of various product configurations. The framework probabilistically estimates the fatigue behavior of a range of Eaton gears and other products.

引用

页数：7

共 12 条

[1]

[Anonymous], BAR STEEL FAT DAT VE

[2] Fatigue crack growth prediction in specimens similar to spur gear teeth [J].