PREDICTION OF THE TENSILE STRENGTH OF STEEL FORGINGS

Author:

ORLOV G. A.1

Affiliation:

1. Ural Federal University after the first President of Russia B.N. Yeltsin

Abstract

Great attention is paid to the issues of improving the methods of product quality prediction, in particular, a comprehensive approach to its evaluation is being developed based on the principles of qualimetry. The example of experimental approach is provided to predict one of the mechanical properties ‒ tensile strength which is an important indicator of the steel forgings quality. The investigation has been carried out to estimate the accumulated strain degree, chemical composition, friction conditions at contact surface influencing on temporal resistance distribution in the forging volume. The accumulation of strain degree was carried out by crimping of cubic billets in three mutually perpendicular directions with different number of crimping cycles according to cube‒cube scheme. The distribution of strain degree over the volume of a deformed billet was experimentally determined for lead samples by coordinate grid technique. The lead cubic billets were cut in half. A square grid was applied to one of the halves, and then the halves were fused with a fusible Wood alloy and subjected to the first upsetting. After upsetting the sample was unsoldered and the Λ value in each cell was calculated from the curvature of the coordinate grid. The forging of steel billets was carried out in a similar way. After forging the steel billets, the specimens were cut out for mechanical testing. As a result of experimental data processing, the equation of regression has been received, which enables to predict the level of forgings’ tensile strength at the known technological parameters. Significance of the coefficients of the obtained equation was validated by the Student's criterion and the adequacy by the Fisher's criterion. The developed technique can be applied for selection of rational mode of deformation during forging for maintenance of the given level of mechanical properties.

Publisher

South Ural State University

Subject

General Medicine

Reference13 articles.

1. Azgal’dov G.G., Raikhman E.P. O kvalimetrii [About Qualimetry]. Moscow: Izdatel’stvo standartov, 1973, 172 p. (In Russ.).

2. Azgal’dov G.G., Kostin A.V., Sadovov V.V. Kvalimetriya dlya vsekh [Qualimetry for All]. Moscow: ID InformZnanie, 2012, 165 p. (In Russ.).

3. Gun G.S. Upravlenie kachestvom vysokotochnykh profilei [Quality Management of High-Precision Profiles]. Moscow: Metallurgiya, 1984, 152 p. (In Russ.).

4. Rubin G.Sh., Chukin M.V., Gun G.S., Zakirov D.M., Gun I.G. Developing a Theory of Metalware Qualimetry. Chernye metally, 2012, no. 7, pp. 15‒21. (In Russ.).

5. Orlov G.A., Gorbunova Yu.D. Development of a Comprehensive Quality Assessment Methodology for Hot-Formed Elliptical Bottoms. Chernaya metallurgiya. Byulleten’ nauchno-tekhnicheskoi i ekonomicheskoi informatsii = Ferrous metallurgy. Bulletin of scientific, technical and economic information, 2018, no. 12, pp. 97‒102. (In Russ.).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Predicting of pipes wall thickness accuracy by radial compression;Ferrous Metallurgy. Bulletin of Scientific , Technical and Economic Information;2024-01-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3