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作 者:陈忠平 向朝建[1] 张曦 杨春秀 娄花芬 Chen Zhongping;Xiang Chaojian;Zhang Xi;Yang Chunxiu;Lou Huafen(Beijing Branch Kunming Metallurgy Research Institute Co.,Ltd.;School of Materials Science and Engineering,Central South University)
机构地区:[1]昆明冶金研究院有限公司北京分公司 [2]中南大学材料科学与工程学院
出 处:《特种铸造及有色合金》2023年第7期981-984,共4页Special Casting & Nonferrous Alloys
摘 要:对CuNiAlFeSnBCe系合金的成分进行了正交试验设计,并采用CLELAB表色系统描述合金的颜色。采用分光光度计定量测定了CuNiAlFeSnBCe系合金的色度参数,通过正交分析,探讨了红绿值和蓝黄值随Ni、Fe、Sn、B、Ce含量的变化规律和显著性影响,给出了粉色外观铜合金表面色的定量结果。结果表明,对红绿值影响最为显著的元素为Ni,影响强弱顺序依次为Ni、Ce、B、Fe、Sn,对蓝黄值影响最为显著的元素为Ni,其次为Ce,影响强弱顺序为Ni、Ce、Fe、Sn、B。粉色外观铜合金的色度参数红绿值和蓝黄值可以通过趋势分析和二次多项式回归分析得出最优的合金色泽参数,获得最佳的合金成分,从而预测粉色外观铜合金最优的合金表面色泽参数,颜色检测结果符合试验要求。Orthogonal experiment was designed for the composition of CuNiAlFeSnBCe alloy,and the surface color of the alloys were described according to the CIELAB color system,which were measured by the spectrophotometer.Variation law and significant influence of chromaticity parameters with Ni,Fe,Sn,B,Ce content were explored,and the quantitative result of surface color of pink copper alloys were presented.The results indicate that the element with the most significant influence on a^(*)is Ni,and the influence sequence is NiCeBFeSn.The element with the most significant influence on a^(*)is Ni,which is followed by Ce,and the influence sequence is NiCeFeSnB.The value of a^(*)and b^(*)of pink copper alloys can be obtained by the trend analysis and polynomial regression analysis to acquire optimal composition.Therefore,the optimal chromaticity parameters of pink copper alloy can be forecast,which meet the requirement of the test.
分 类 号:TB31[一般工业技术—材料科学与工程] TG146.11[金属学及工艺—金属材料]
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