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Design Analysis and Development of High-Speed Rotating Fatigue Testing with Integrated by Twisting Test

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Barve, Avinash Prakash, author.
Contributor:
Bankar, Shantanu
Bhautkar, Hardik
Chapke, Bhushan
Hussain, Faisal
Jangam, Rahul
Pandagre, Pravin
Setiya, Adm Paresh
Soni, Adm Aman
Conference Name:
International Conference on Advances in Design, Materials, Manufacturing and Surface Engineering for Mobility (2019-10-11 : Chennai, India)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2019
Summary:
The fatigue testing machine mostly used for industrial or laboratory applications are limited to performing single fatigue tests with high leading cost. In the present paper the experimental setup of the traditional fatigue testing machine is integrated with torsional test, to experimentally study the effect of fluctuating stresses on the material under service. In contradiction to earlier machines, the machine herein developed provides uniform bending and twisting moment distribution along the length of the test specimen. The machine performs fatigue test and torsional test, which provides the extreme force needed to understand the properties and behavior of materials. The machine consists of an electric motor to provide the required torque and two circular arms with adjustable chucks to fit test samples of various sizes. The machine provides computerized data for failed samples with data pertaining to each sample. The experimental model is designed and fabricated to match our customers unique test objective. Fatigue failures are reported 75% of documented materials failure and occur catastrophically. Fatigue life can be tested on loading conditions and it is essential in industrial and specialized fields such as aerospace, power generation, automobile, defense et cetera The comparison between theoretical model-calculated data and experimental results indicates that this model can be used effectively to predict the failure lifetime and the remaining life of a material
Notes:
Vendor supplied data
Publisher Number:
2019-28-0053
Access Restriction:
Restricted for use by site license

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