快速切换(SMED)在空调制造厂的研究与应用

在目前市场需求呈现规模扩张和品类个性化的冲击下,制造业面对的竞争压力愈发明显.且随着新时代自动化、信息化、大数据智能化等先进制造特征的兴起,更加促使制造业向转型升级不断进军.以空调制造业的控制器版块为例,从制约此单位效率的SMT车间切换浪费为切入点,在SMED快速换模的理念基础上,通过使用IE分析工具对切换流程进行研究,提炼出一套多模组固定料站切换模型,同时结合自动化、信息化等智能制造技术引进,完成SMT车间人力投入减少35人,日均产出点数提升18.29％,设备运行率提升15.46％,综合成本降低110.6万元/年的效益.成功推广应用至电子物料拣选版块,并开发信息化看板,夯实应用效益,再次证实"多模组固定料站"快速切换模型是典型小、多、高生产模式,具有可行性的解决方案.     

Metal-polyphenol-network coated CaCO3 as pH-responsive nanocarriers to enable effective intratumoral penetration and reversal of multidrug resistance for augmented cancer treatments

Construction of multifunctional stimuli-responsive nanotherapeutics enabling improved intratumoral penetration of therapeutics and reversal of multiple-drug resistance (MDR) is potent to achieve effective cancer treatment. Herein, we report a general method to synthesize pH-dissociable calcium carbonate (CaCO₃) hollow nanoparticles with amorphous CaCO₃ as the template, gallic acid (GA) as the organic ligand, and ferrous ions as the metallic center via a one-pot coordination reaction. The obtained GA–Fe@CaCO₃ exhibits high loading efficiencies to both oxidized cisplatin prodrug and doxorubicin, yielding drug loaded GA–Fe@CaCO₃ nanotherapeutics featured in pH-responsive size shrinkage, drug release, and Fenton catalytic activity. Compared to nonresponsive GA–Fe@silica nanoparticles prepared with silica nanoparticles as the template, such GA–Fe@CaCO₃ confers significantly improved intratumoral penetration capacity. Moreover, both types of drug-loaded GA–Fe@CaCO₃ nanotherapeutics exhibit synergistic therapeutic efficacies to corresponding MDR cancer cells because of the GA–Fe mediated intracellular oxidative stress amplification that could reduce the efflux of engulfed drugs by impairing the mitochondrial-mediated production of adenosine triphosphate (ATP). As a result, it is found that the doxorubicin loaded GA–Fe@CaCO₃ exhibits superior therapeutic effect towards doxorubicin-resistant 4T1 breast tumors via combined chemodynamic and chemo-therapies. This work highlights the preparation of pH-dissociable CaCO₃-based nanotherapeutics to enable effective tumor penetration for enhanced treatment of drug-resistant tumors.

     

面向航空通信应用的边沿触发器教学设计

研究和分析了面向航空通信应用的边沿触发器教学设计。以边沿触发电路实现原理为核心,引导边沿触发机制的探究式学习；以航空机载网络通信为具体应用背景,引入科学研究和工程实现中实际问题,设计曼切斯特码检测系统实验；使得边沿触发器教学成为“知识再创造”的过程和创新实践的新载体,以期培养新工科背景下的独立、创新和实践精神。     

基于BP神经网络的条带刚凸特征回弹预测

为了研究核燃料组件格架的条带刚凸特征的回弹量与压边力、冲压速度、凸凹模间隙、摩擦系数等冲压工艺参数之间的关系,首先,获取包含50个GA拉丁超立方抽样的数据点以及10个随机抽样的数据点的数据集,前者作为训练集、后者作为测试集。将前者输入到BP神经网络进行训练,后者验证训练模型的精度。最后,通过响应面图研究各因素之间的交互作用以及各因素的敏感程度。结果表明:BP神经网络能够有效预测刚凸回弹量与冲压工艺参数之间的关系,相对于其他因素,压边力对回弹量的影响特别明显,冲压速度对回弹量的影响不明显,但与凸凹模间隙和摩擦系数有明显的交互作用。     

废菌渣活性炭的制备及对废水中硝基苯的吸附

以废菌渣为原料制备活性炭，采用能量-色散光谱（EDS）和傅里叶变换红外光谱仪（FTIR）进行表征，结果表明：活性炭表面具有多种官能团，有利于提高对硝基苯的吸附。并研究了活性炭吸附硝基苯的影响因素（pH、初始浓度、吸附时间、投加量）、吸附等温线及热力学。结果表明：在常温中性pH条件下，初始浓度为50mg/L，活性炭用量为0.15g时硝基苯去除率可达98%，出水水质满足《污水综合排放标准》（GB 8978－1996）中对硝基苯浓度低于2.0mg/L的要求。活性炭对硝基苯的吸附具有较快的吸附速率，即1min接近平衡。该吸附行为是自发放热反应，可以用Freundlich模型很好地拟合。废菌渣活性炭对硝基苯的吸附主要是疏水作用和氧化钼活化共同作用的结果。因此，以农业废弃物-废菌渣制备得到的废菌渣活性炭具有良好的经济实用性，可用于废水处理中，实现以废治废的目的。     

山东某难选贫磁铁矿石工艺矿物学研究

山东某难选贫磁铁矿石一直处于待开发状态。为了给矿石资源的开发利用提供依据，进行了系统的工艺矿物学研究。结果表明：①矿石中的主要有用矿物为磁铁矿，其次为假象赤铁矿和赤铁矿，含量分别为13.93%、5.65%和3.31%，褐铁矿分布较少为1.01%；主要脉石矿物为石英，其次为黑云母、碳酸盐类矿物和辉石，含量分别为39.12%、11.23%、7.78%和6.57%。②矿石主要构造为块状构造、层纹状构造，少量角砾状构造；主要结构有条带状结构、粒状结构，其次为脉状结构、交织结构，少量交代残余结构、辉绿结构、浸染状结构、斑状结构和纤维状结构。③矿石中有用铁矿物结晶粒度微细，主要分布在-0.04 mm粒级，其中磁铁矿（含假象赤铁矿）和赤、褐铁矿分布率分别为63.29%和72.50%，而-0.01 mm粒级分布率则占21.13%和29.16%，因此，欲使铁矿物与脉石达到较好解离，矿石必须细磨。     

Gradient-based recursive parameter estimation for a periodically nonuniformly sampled-data Hammerstein–Wiener system based on the key-term separation

The identification of the Hammerstein–Wiener (H-W) systems based on the nonuniform input–output dataset remains a challenging problem. This article studies the identification problem of a periodically nonuniformly sampled-data H-W system. In addition, the product terms of the parameters in the H-W system are inevitable. In order to solve the problem, the key-term separation is applied and two algorithms are proposed. One is the key-term-based forgetting factor stochastic gradient (KT-FFSG) algorithm based on the gradient search. The other is the key-term-based hierarchical forgetting factor stochastic gradient (KT-HFFSG) algorithm. Compared with the KT-FFSG algorithm, the KT-HFFSG algorithm gives more accurate estimates. The simulation results indicate that the proposed algorithms are effective.