日本金属学会誌
Online ISSN : 1880-6880
Print ISSN : 0021-4876
ISSN-L : 0021-4876
論文
組織数値計算および主成分分析に基づくCu-Co-P合金における組織―特性関係の理解
後藤 潤大小山 敏幸新井 俊太郎
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2024 年 88 巻 11 号 p. 288-296

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The complex microstructure coexisting dislocation, Co precipitation and Co2P precipitation is formed during the thermal process after cold deformation of Cu-Co-P alloy which is one of the practical precipitation-hardening copper alloys. The understanding of linkage of this complex microstructure and property (S-P Linkage) is an important issue to express the superior balance of strength, ductility and electric conductivity.

In this study, the microstructure information simulated based on N model coupled with dislocation recovery model and property information measured through experiments are analyzed using Principal Component Analysis (PCA) to clarify S-P Linkage. Furthermore, the new approach that combines linear additivity rule in the theory of alloy strengthening mechanism and PCA is proposed.

As a result, the following mechanisms were proposed: the immobilization of dislocations due to Co2P precipitation on dislocations and the remobilization due to coarsening of precipitation on dislocations rate-limit the dislocation recovery and affect balance between strength and ductility which have an antinomic relationship. Especially, the superior balance of strength and ductility is due to strengthening by immobilization of dislocations and sequential triggering of following phenomenon in the plastic region, (1) the high-speed motion of mobilized dislocation in bulk matrix phase, (2) the deposition of mobilized dislocations on grain boundaries and (3) the parabolic strain hardening.

Fig. 8 Vector of the factor loading of YS (0.2% yield strength), El (elongation), Ec (electric conductivity), ρ (dislocation density), V1 (volume fraction of Co precipitates on dislocations), V2 (volume fraction of Co precipitates inside a bulk matrix phase), V3 (volume fraction of Co2P precipitates on dislocations) and V4 (volume fraction of Co2P precipitates inside a bulk matrix phase) in PC1 and PC2. Fullsize Image
 
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