A Flow Stress Model for Steel in Cold Forging Process Range and the Associated Method for Parameter Identification

dc.authorid Simsir, Caner/0009-0006-7871-4232
dc.authorid Simsir, Caner/0000-0001-9520-4695
dc.authorscopusid 24342602900
dc.authorscopusid 58418005400
dc.authorwosid Simsir, Caner/CAJ-2630-2022
dc.authorwosid Simsir, Caner/U-6962-2017
dc.contributor.author Simsir, Caner
dc.contributor.author Duran, Deniz
dc.contributor.other Manufacturing Engineering
dc.date.accessioned 2024-07-05T15:28:49Z
dc.date.available 2024-07-05T15:28:49Z
dc.date.issued 2018
dc.department Atılım University en_US
dc.department-temp [Simsir, Caner; Duran, Deniz] Atilim Univ, Met Forming Ctr Excellence, Kizilcasar Mahallesi, TR-06836 Ankara, Turkey; [Simsir, Caner] Atilim Univ, Dept Mfg Engn, Kizilcasar Mahallesi, TR-06836 Ankara, Turkey en_US
dc.description Simsir, Caner/0009-0006-7871-4232; Simsir, Caner/0000-0001-9520-4695 en_US
dc.description.abstract Detailed thermo-mechanical characterization of DIN 16MnCr5 covering the process range of cold forging applications (0.01 s(-1) 40 s(-1), 25 A degrees C Ta 400 A degrees C) by compression tests revealed flow stress instabilities associated with dynamic strain aging (DSA) which cannot be reproduced by conventional flow stress models. As a remedy, a flow stress model capable of capturing sharp changes in flow stress, strain hardening, and strain rate sensitivity is proposed. Then, a method for parameter identification is presented which can deal with inhomogeneous deformation heating of the specimen at relatively high-strain-rate tests. The presented method involves response surface-based numerical optimization of the flawed compression tests coupled with finite element (FE) simulation. The proposed flow stress model and the extracted parameters are validated in a forward rod extrusion process without using any case-specific determined parameters in FE simulation. A natural agreement is obtained between the experimental and the predicted results in terms of both the force-displacement curve and the part geometry. The authors think that the flow stress instabilities encountered in the cold forging process range may have further consequences in other inverse analysis attempts such as friction coefficient or critical damage parameter determination and that the proper treatment of material data as put forth in this study can improve the predictive capability of process modeling. en_US
dc.identifier.citationcount 7
dc.identifier.doi 10.1007/s00170-017-1160-x
dc.identifier.endpage 3808 en_US
dc.identifier.issn 0268-3768
dc.identifier.issn 1433-3015
dc.identifier.issue 9-12 en_US
dc.identifier.scopus 2-s2.0-85029813728
dc.identifier.startpage 3795 en_US
dc.identifier.uri https://doi.org/10.1007/s00170-017-1160-x
dc.identifier.uri https://hdl.handle.net/20.500.14411/2845
dc.identifier.volume 94 en_US
dc.identifier.wos WOS:000425592900061
dc.identifier.wosquality Q2
dc.institutionauthor Şimşir, Caner
dc.language.iso en en_US
dc.publisher Springer London Ltd en_US
dc.relation.ispartof 12th International Conference on Frontiers of Design and Manufacturing (ICFDM) -- AUG 10-12, 2016 -- Natl Nat Sci Fdn China, Shenyang, PEOPLES R CHINA en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 10
dc.subject Flow stress model en_US
dc.subject Dynamic strain aging en_US
dc.subject Optimization en_US
dc.subject Cold forging en_US
dc.subject Steel en_US
dc.title A Flow Stress Model for Steel in Cold Forging Process Range and the Associated Method for Parameter Identification en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 8
dspace.entity.type Publication
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relation.isOrgUnitOfPublication.latestForDiscovery 9804a563-7f37-4a61-92b1-e24b3f0d8418

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