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        Tailoring Mechanical Properties of a Low Carbon Cu-Containing Structural Steel by Two-Step Intercritical Heat Treatment

        Xiaohui Xi,Jinliang Wang,Liqing Chen,Zhaodong Wang 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.6

        In this paper, a process of two-step intercritical heat treatment was used to control the amount of retained austenite andnano-scaled precipitates for a low carbon Cu-containing structural steel such that the mechanical properties of this steelcan be tailored. In this process, the first step is intercritical annealing and a mixed microstructure can be obtained whichcontains intercritical ferrite, tempered martensite, fresh martensite and a small amount of retained austenite. The subsequentintercritical tempering was introduced to be beneficial for producing more stable retained austenite at room temperaturethrough secondary enrichment of stabilizers (Mn, Ni). Also, (Nb, V, Mo) (C, N) precipitates were formed during intercriticalannealing, while smaller (Nb, V, Mo) (C, N) precipitates and Cu-rich particles with diameter of 5–15 nm were obtainedafter intercritical tempering. It is due to the contributions from multi-phase microstructure, strain-induced transformation ofstable retained austenite and strengthening of nano-scaled precipitates that a combination of high strength, good ductility,low yield to tensile ratio (Y/T ratio) and excellent low-temperature toughness was achieved. The strengthening and tougheningmechanism were discussed on the basis of retained austenite formation and interaction between Cu precipitates and thematrix, together with the crack propagation.

      • A Metadata-based Method for Sharing Multiply Heterogeneous Information

        Xiaotao Li,Xiaohui Hu,Weina Lu,Xi Liu 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.3

        As users’ requirements for information integration enhance increasingly, how to integrate multiply heterogeneous data in a global sharing system has especially been a challenge for its large scale and diverse formats. To address the above problem, this paper proposes an information sharing approach for multiply heterogeneous data based on a two-layer metadata. Firstly, the architecture of the two-layer metadata is introduced. Secondly, the synchronization between different users for distributed heterogeneous data is realized by sharing table structures. Finally, Lucene search engine combined with the element GM-description of the two-layer metadata is presented to retrieve metadata, which reduces the response time compared to other retrieval methods. The experiment results illustrate the effectiveness of our approach and the conclusion is given.

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