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Tests in the lowcycle\r\nfatigue (LCF) regime were conducted on material that was processed by the equal channel\r\nangular extrusion (ECAE) technique along the so called “efficient” route 8E. This route has been\r\nshown to result in a homogeneous microstructure with a high fraction of high angle grain\r\nboundaries (HAGBs), which are beneficial for a stable CSSR. In addition, the evolution of the\r\nmicrostructure was characterized by means of electron optical techniques, including electron\r\nbackscattered diffraction, and by X-Ray diffractometry. It was found that the initial texture of\r\nspecimens cut from the ECAE billet along different orientations with respect to the extrusion\r\ndirection (ED) has a substantial effect on the CSSR of the UFG IF steel. Furthermore, microscopy\r\nresults indicated the notable influence of the last ECAE processing step on the evolution of damage\r\nin the material.</jats:p>"}],"citation":{"chicago":"Niendorf, Thomas, Thorsten Marten, Hans J. 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The Effect of Texture on the Fatigue Properties of Ultrafine-Grained Interstitial-Free Steel. <i>Materials Science Forum</i>. 2008;584-586:864-869. doi:<a href=\"https://doi.org/10.4028/www.scientific.net/msf.584-586.864\">10.4028/www.scientific.net/msf.584-586.864</a>","bibtex":"@article{Niendorf_Marten_Maier_Karaman_2008, title={The Effect of Texture on the Fatigue Properties of Ultrafine-Grained Interstitial-Free Steel}, volume={584–586}, DOI={<a href=\"https://doi.org/10.4028/www.scientific.net/msf.584-586.864\">10.4028/www.scientific.net/msf.584-586.864</a>}, journal={Materials Science Forum}, author={Niendorf, Thomas and Marten, Thorsten and Maier, Hans J. and Karaman, Ibrahim}, year={2008}, pages={864–869} }","mla":"Niendorf, Thomas, et al. “The Effect of Texture on the Fatigue Properties of Ultrafine-Grained Interstitial-Free Steel.” <i>Materials Science Forum</i>, vol. 584–586, 2008, pp. 864–69, doi:<a href=\"https://doi.org/10.4028/www.scientific.net/msf.584-586.864\">10.4028/www.scientific.net/msf.584-586.864</a>."},"publication":"Materials Science Forum","department":[{"_id":"9"},{"_id":"321"},{"_id":"149"}],"type":"journal_article","date_created":"2020-02-21T13:41:59Z","date_updated":"2022-01-06T06:52:41Z","publication_status":"published","publication_identifier":{"issn":["1662-9752"]},"author":[{"full_name":"Niendorf, Thomas","last_name":"Niendorf","first_name":"Thomas"},{"id":"338","full_name":"Marten, Thorsten","last_name":"Marten","first_name":"Thorsten"},{"full_name":"Maier, Hans J.","first_name":"Hans J.","last_name":"Maier"},{"full_name":"Karaman, Ibrahim","first_name":"Ibrahim","last_name":"Karaman"}],"status":"public","title":"The Effect of Texture on the Fatigue Properties of Ultrafine-Grained Interstitial-Free Steel","year":"2008","volume":"584-586","doi":"10.4028/www.scientific.net/msf.584-586.864","user_id":"72008","_id":"15955","language":[{"iso":"eng"}],"page":"864-869"},{"volume":1,"user_id":"49109","_id":"16164","language":[{"iso":"eng"}],"page":"45-67","intvolume":"         1","date_updated":"2022-01-06T06:52:44Z","author":[{"last_name":"Hühn","first_name":"J.","full_name":"Hühn, J."},{"id":"48129","first_name":"Eyke","last_name":"Hüllermeier","full_name":"Hüllermeier, Eyke"}],"status":"public","title":"Is an ordinal class structure useful in classifier learning?","year":"2008","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"type":"journal_article","date_created":"2020-02-28T14:56:58Z","citation":{"apa":"Hühn, J., &#38; Hüllermeier, E. (2008). Is an ordinal class structure useful in classifier learning? <i>International Journal of Data Mining, Modeling and Management </i>, <i>1</i>(1), 45–67.","ieee":"J. Hühn and E. Hüllermeier, “Is an ordinal class structure useful in classifier learning?,” <i>International Journal of Data Mining, Modeling and Management </i>, vol. 1, no. 1, pp. 45–67, 2008.","chicago":"Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier Learning?” <i>International Journal of Data Mining, Modeling and Management </i> 1, no. 1 (2008): 45–67.","short":"J. Hühn, E. Hüllermeier, International Journal of Data Mining, Modeling and Management  1 (2008) 45–67.","mla":"Hühn, J., and Eyke Hüllermeier. “Is an Ordinal Class Structure Useful in Classifier Learning?” <i>International Journal of Data Mining, Modeling and Management </i>, vol. 1, no. 1, 2008, pp. 45–67.","ama":"Hühn J, Hüllermeier E. Is an ordinal class structure useful in classifier learning? <i>International Journal of Data Mining, Modeling and Management </i>. 2008;1(1):45-67.","bibtex":"@article{Hühn_Hüllermeier_2008, title={Is an ordinal class structure useful in classifier learning?}, volume={1}, number={1}, journal={International Journal of Data Mining, Modeling and Management }, author={Hühn, J. and Hüllermeier, Eyke}, year={2008}, pages={45–67} }"},"publication":"International Journal of Data Mining, Modeling and Management ","issue":"1"}]