New opportunities for accelerated testing with increased load | Control, Definition and Prediction of Fatigue Strength Characteristics

Valentin Vdovin

ISBN 10: 6200502862 / ISBN 13: 9786200502865

Published by LAP LAMBERT Academic Publishing, 2020

About this Item

New opportunities for accelerated testing with increased load | Control, Definition and Prediction of Fatigue Strength Characteristics | Valentin Vdovin | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786200502865 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 120470193

Bibliographic Details

• Title: New opportunities for accelerated testing with increased load | Control, Definition and Prediction of Fatigue Strength Characteristics
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6200502862
• ISBN 13: 9786200502865
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 131 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Breakage from metal fatigue is one of the main reasons for the failure of machines and structures. We have taken accelerated tests with an increasing load as a starting point and proposed formulas for the implementation of calculations.As a result, it is possible to obtain the region of the part's behavior under high loads from data on a known fatigue curve (5–6 samples), and even from the data on two samples tested.Shown here are our proposed methods for calculating the fatigue limit under stepwise and stepless loading. Now the fatigue limit can be determined by one value of the amount of accumulated damage. This allowed to eliminate graphical construction, simplified and accelerated the process of selective control of the fatigue limit. Therefore, these methods can be recommended for assessing the limit of fatigue strength. The results obtained make it possible to predict a virtual field of fatigue curves variation as a result of two samples testing or by using published literature data, and enable quick selection of the material, design and method for manufacturing the part.