Corrosion behaviour of an industrial shot-peened and coated automotive spring steel AISI 9254

A high-strength low-alloy steel, AISI 9254 (54SiCr6), is widely used for suspension spring production in the automotive industry. In this work, industrially manufactured zinc phosphate coated helical springs are subjected to detailed microstructural and surface analysis for better understanding of corrosion evolution. The material’s free corrosion potential and anodic/cathodic behaviour were investigated in NaCl solutions and corrosion propagation mechanisms were studied using potentiostatic polarisation on cross-sectional and external surfaces. The bulk material is fully martensite with uniformly distributed MnS inclusions, while the spring surface has a 2–3?μm mechanically deformed region introduced by shot-peening and a thin zinc phosphate coating. The corrosion open circuit potential of bulk material and shot-peened spring surface was about –0.7V_SCE without significant difference, while phosphated surface is more noble (more positive potential). MnS inclusions, stimulating the anodic attack in the steel, influence corrosion propagation and pit morphology to a large extent that can have an impact on the spring performance.     

渐变刚度板簧式轻卡悬架阻尼参数仿真设计

为了有效提高渐变刚度钢板弹簧式轻型卡车的乘坐舒适性,根据弹簧受力与刚度和变形之间的关系,利用等频原理,建立了渐变刚度钢板弹簧力学特性解析计算模型,并利用钢板弹簧加载-卸载试验对所建立的模型的正确性进行了验证。基于1/2车辆行驶振动模型,利用MATLAB的Simulink工具箱,建立了考虑渐变刚度钢板弹簧力学特性的轻卡行驶振动仿真分析模型。最后,以人体振动舒适性最佳为目标,利用多岛遗传算法,建立了轻卡悬架系统阻尼参数仿真设计方法,并利用实车试验对所建立的轻卡悬架系统阻尼参数仿真设计方法的正确性进行了验证。上述研究为渐变刚度钢板弹簧式轻卡悬架系统参数的设计提供了有效参考。     

基于深度学习的番茄叶部病害识别模型

番茄叶病种类多、成因复杂,其预防和识别难度较大。传统基于机器学习的方法多靠人工识别,需要一定的专家经验,且具有主观性强、识别准确率不高等缺点。为实现番茄叶病特征的自动提取,并提高识别准确率,提出一种基于深度学习的番茄叶病识别模型。该模型基于卷积神经网络对番茄叶部病害特征进行自动提取,获得高维特征后,采用PCA降维算法去除冗余特征;从增大类间距离并减小类内距离的角度改进了softmax分类器,提高了识别准确率。将该模型在CrowdAI提供的数据集上进行了仿真验证,结果表明,该模型能够对番茄叶部常见10种病害进行自动提取特征和识别,综合识别准确率达到95%以上。     

显色图像分析技术在水稻叶耳花青甙显色目测分级中的应用

目的基于颜色特征的叶耳花青甙显色分级研究。方法以水稻倒二叶叶耳花青甙显色测试为切入点,在Emgu Cv3.0图像分析软件基础上,对完成图像分割的目标区域提取红绿蓝(red green blue, RGB)、色调饱和度亮度(hue saturation value, HSV)颜色特征,利用SPSS软件对颜色特征和测试分级数据进行相关性、回归等统计分析,建立颜色特征多元回归模型。结果叶耳花青甙显色强度与R(红色)、G(绿色)、B(蓝色)、H(色调)、V(亮度)极显著负相关;所有颜色特征值中,G值与叶耳花青甙显色强度相关性最显著,是一元和多元回归主要自变量; G值建立的一元回归模型中, R~2为0.980;多元回归模型R~2值为0.994。结论回归模型的拟合效果好,用这两个模型均可完成叶耳花青甙显色强度分级。     

艾叶天然色素应用于苎麻纤维染色的研究

通过设计正交实验,得到优化的微波法提取艾叶色素的工艺为:料液比1∶15、微波功率560 W、处理时间2 min;对苎麻纤维进行阳离子改性,得到优化的改性工艺为:改性时间50 min、改性温度50℃、改性剂用量15 g/L、烧碱用量10 g/L;用艾叶色素上染阳离子改性的苎麻纤维,设计4因素3水平正交实验,采用一浴二步后媒染法进行染色实验,得到优化的染色工艺为:染色温度60℃、染色时间30 min、染液pH=5、艾叶色素提取液用量70 mL。     

比色法与HPLC法对比测定桑叶茶中γ-氨基丁酸的含量

应用酶标仪定量分析桑叶茶(下称桑茶)中的γ-氨基丁酸(γ-aminobutyric acid,GABA),经优化的显色体系在波长640 nm处有最大吸收波长,建立GABA质量浓度与吸光度的相关方程。比色法与高效液相色谱(high performance liquid chromatography,HPLC)法所测GABA在所需质量浓度范围内线性关系均良好(R~20.99)。比色法的平均相对标准偏差为1.28%,平均回收率为98.46%;HPLC法的平均相对标准偏差为0.37%,平均回收率为100.10%。表明2种检测方法均可准确定量测定GABA。经t检验比较分析,无统计学差异。采用比色法对桑叶与桑茶进行检测,结果表明不同加工方式会影响GABA含量。比色法方便快捷,更适合大量样品的检测。     

轧机两侧刚度差的数字化分析与改善措施

轧机两侧刚度差是轧机功能精度的最重要指标之一，以弹跳方程为基础定量计算了轧机两侧刚度差对轧制稳定性的影响，主要包括调平值、调平值随轧制力的变化以及甩尾3个方面。以此为基础在某热轧线建立了轧机刚度评价体系，对轧机功能精度进行管控。同时，还分析了轧机两侧刚度差的影响因素，并在定量分析的基础上采取了一系列的改善措施，包括衬板、垫片维护、最大压靠轧制力和标定轧制力的调整等，使轧机刚度和轧制稳定性得到大幅提升。     

GC-MS法测定野生百合叶化学成分

在超声辅助条件下,用无水乙醇对江口县野生百合叶有效组分进行提取,并用GC-MS技术对其进行化学成分分析,鉴定出17种化合物,主要成分为:酯类化合物、酰胺类化合物、酚类化合物和烷烃类化合物等。其结果可为野生百合叶的生理活性研究和产品的开发应用提供理论依据。     

Ethanolic Noni (Morinda citrifolia L.) leaf extract dechlorophyllised using sedimentation process: Antioxidant,antibacterial properties and efficacy in extending the shelf-life of striped catfish slices

Antioxidant and antimicrobial activities of ethanolic noni leaf extract (ENLE) without and with chlorophyll removal by sedimentation method were comparatively investigated. Total chlorophyll content was reduced by 82% in the top fraction (CR-ENLE) collected after 24 h at 4 °C as compared to that of ENLE. Antioxidant and antimicrobial activities were lower in the bottom fraction rich in chlorophyll (Chlo-ENLE) than others (P < 0.05). Based on the microbiological limit, the shelf-life of striped catfish slices pre-treated with 400 mg kg⁻¹ C-R-ENLE was extended to 9 days as compared to the 3 days recorded for the control (without pre-treatment). Slices treated with CR-ENLE had lower lipid oxidation than those treated with ENLE during refrigerated storage (P < 0.05). The sedimentation process was therefore a potential green method for producing ENLE having improved antioxidant and antimicrobial activities without green colour. It can be used as a natural additive for shelf-life extension of fish slices.