铝锅蒸屉零件冲孔成形模设计与制造

该零件原采用先成形后冲孔两道加工工序,经对零件进行工艺分析后,改为冲孔成形一道加工工序.改进后的模具结构合理、效率高、产品零件稳定性可靠.     

地浸工艺与传统采矿法的联合应用

阐述了地下采矿的溶浸工艺 (简称地浸工艺 )与传统工艺在国外的联合应用状况。指出该联合工艺对降低采矿损失贫化的必要性和改进的具体途径。分析研究了开采复杂矿体的新工艺 ,并取得了在矿井条件下直接获取成品的具体经验。这些均为我国采矿工艺的更新和发展提供了依据。     

高速线材轧机锥套故障分析与改进

高速线材生产线精轧机、预精轧机使用的锥套，在材质、结构、处理工艺及生产操作上存在诸多不当之处，为此进行了多项改进，使锥套故障彻底排除，使用寿命达3～5月，而价格仅为进口件的1／3。     

气箱脉冲袋除尘器在铝电解含氟烟气干法净化中的应用

本文介绍了气箱脉冲袋除尘器在铝电解烟气净化工程上的成功应用。实践结果表明。在保证净化效果的前提下，采用改进型气箱脉冲袋除尘器作为净化设备．可使其一次投资、能耗、年维修费与其他型式布袋除尘器相比均有所降低。为铝电解烟气净化工程扩大了除尘器的选择范围。     

球墨铸铁管退火工艺的改进

对球墨铸铁管退火炉炉体结构进行改进的基础上进行了4种退火工艺试验，得出了适应生产需要的退火工艺参数。     

U71Mn钢钢轨轨端热处理工艺改进

对钢轨轨端采用加热空冷、加热风冷、淬火 回火3种不同的工艺进行热处理，并对处理后钢轨踏面的组织、性能进行对比分析。结果表明，钢轨轨端采用加热风冷的热处理工艺是可行的，用该工艺处理后钢轨轨端的组织、性能能够满足标准要求。     

影响高频电主轴工作寿命的主要原因及解决方法

对高频电主轴的发热和损耗状况进行了分析，针对影响电主轴．寿命的主要原因，提出了提高电主轴转子加工精度的措施和选择合理的电磁方案以降低温升；阐明了电主轴轴承结构的合理选择覆润滑方式。     

平原地区农村河道治理模式初探

平原地区农村河道落差小,水流缓,流速低。目前农村河道存在水体污染淤积严重、河网水面面积减少等问题,如何科学治理、创新治理,就显得特别重要。针对当前平原地区农村河道现状,探索了平原河道治理的原则、目的、思路和措施。     

基于改进PSO的发酵过程同步串联混合建模

准确可靠的过程模型是实现发酵过程优化的基础和前提. 对于反应机理复杂的发酵过程,串联混合建模是一种相对有效的建模方法, 但现有方法需要利用插值所得的数据进行中间变量黑箱模型的构建, 较大程度地影响了所建混合模型的泛化性能. 为此,提出一种可将黑箱模型构建问题转化为动态模型参数辨识问题的同步串联混合建模方法, 从而避免了现有方法需利用插值数据来构建黑箱模型的不足; 通过引入多精英学习策略和惯性权重自适应调整策略, 构造了一种改进的粒子群优化(Particle swarm optimization, PSO)算法自适应多精英学习PSO (Adaptive multi-elite learning PSO, AMLPSO)算法,并采用该算法求取黑箱模型的参数; 借鉴均匀设计思想确定黑箱模型的结构. 利用诺西肽分批发酵过程实际生产数据进行实验研究, 结果验证了所提方法的有效性.     

A flowchart‐based intelligent tutoring system for improving problem‐solving skills of novice programmers

Intelligent tutoring and personalization are considered as the two most important factors in the research of learning systems and environments. An effective tool that can be used to improve problem‐solving ability is an Intelligent Tutoring System which is capable of mimicking a human tutor's actions in implementing a one‐to‐one personalized and adaptive teaching. In this paper, a novel Flowchart‐based Intelligent Tutoring System (FITS) is proposed benefiting from Bayesian networks for the process of decision making so as to aid students in problem‐solving activities and learning computer programming. FITS not only takes full advantage of Bayesian networks, but also benefits from a multi‐agent system using an automatic text‐to‐flowchart conversion approach for engaging novice programmers in flowchart development with the aim of improving their problem‐solving skills. In the end, in order to investigate the efficacy of FITS in problem‐solving ability acquisition, a quasi‐experimental design was adopted by this research. According to the results, students in the FITS group experienced better improvement in their problem‐solving abilities than those in the control group. Moreover, with regard to the improvement of a user's problem‐solving ability, FITS has shown to be considerably effective for students with different levels of prior knowledge, especially for those with a lower level of prior knowledge.