滚齿工艺对齿根粗糙度的影响

针对国内外风电和工业齿轮箱轻量化的设计趋势,较低的安全系数对齿轮齿根弯曲强度提出了更为严格的要求。研究表明,在材料技术和齿形设计难以再优化的情况下,滚齿加工的粗糙度,尤其是齿根部位的粗糙度对齿轮弯曲强度的影响尤为敏感。针对滚齿工艺过程,从滚齿加工参数、刀具前刀面粗糙度和刀具刃口圆角三方面进行分析,验证其对齿根粗糙度的影响。     

一种复杂产品总装工艺流程设计方法研究

围绕复杂产品总装工艺流程设计问题,从装配技术和企业经营管理的角度提出复杂产品总装工艺流程设计不仅是技术上的最优化,还应综合引入开工面限制、人力资源平衡、生产节拍需求以及投入产出比等因素,寻求技术与经营管理的平衡。提出了一种复杂产品总装工艺流程设计总体方案,设计了该方案的实现思路,并通过某型飞机总装工艺流程设计项目验证了方法的可行性和有效性。     

排风扇前盖注射模设计

分析了排风扇前盖塑件的工艺特点,介绍了排风扇前盖注射成型模结构及模具的工作过程。     

某贫磁赤铁矿石选矿工艺试验研究

为了使某矿山贫磁赤铁矿资源得到合理的开发利用，针对现开采部位矿石的性质和可选性问题，进行了工艺矿物学和可选性试验研究。试验结果表明：采用弱磁、强磁—阴离子反浮选工艺可得到精矿铁品位68.55%、精矿产率36.41%、金属回收率79.92%、尾矿品位9.86%的较好选别指标，说明矿石的可选性较好，为该矿石的合理开发利用提供了可靠的技术依据。     

Tributyl phosphate additive enhancing catalytic absorption of NO2 for simultaneous removal of SO2/NOx in wet desulfurization system

Removal of SO₂ and NO emissions from coal-fired power plants have always been the focus in coal's utilization industries for which traditional wet desulfurization system hold the potential to achieve simultaneous removal of SO₂/NO_x. In this work, a novel liquid catalyst (tributyl phosphate, TBP) was investigated for the simultaneous removal of SO₂ and NO_x in a NO pre-oxidation (ozone oxidation) assisted process. The absorption process and reaction mechanism of SO₂ and NO₂ were studied in a small-scale experimental system, and the removal efficiency of pollutant and the key parameters were examined in a pilot-scale system. The results show that the removal efficiency of NO₂ in traditional wet desulfurization system is only 20–40%; however greatly increases to >90% when TBP is added. Moreover, TBP can enhance the NO₂ removal performance in the presence of SO₂ due to the formation of TBP–NO₂–SO₃²⁻ complex. Considering the oily nature of TBP that can be easily separated, such addition strategy hold great potential for industrial SO₂/NO_x simultaneously removal.     

王坡煤矿煤层顶板稳定性主控因素分析

煤炭开采过程中极易发生顶板事故。基于王坡煤矿的地质条件，利用钻孔、井下钻探、物探、生产揭露资料，分别对该矿煤层顶板沉积特征、煤层顶板岩石结构特征进行系统分析研究，通过实验室室内测试，获取了煤层顶板岩石抗压强度、泊松比、坚固性系数、黏聚力等物理力学性质指标，最终确定了影响煤层顶板稳定性相关因素；运用层次分析法确定影响因素的权重值，得出岩石力学性质是影响煤层顶板稳定性的主控因素。研究可为类似煤矿顶板稳定性因素分析提供借鉴。     

Chemical process fault diagnosis based on enchanted machine‐learning approach

In the chemical industry, fault diagnosis is a challenging task due to the complexity of chemical equipment. This paper proposes a machine learning‐based approach to achieve the goal of fault diagnosis. First, in order to reduce the impact of redundant features, support vector machine recursive feature elimination (SVMRFE) is used to select important features. The trained probabilistic neural network (PNN) is then used for fault diagnosis. Considering that the diagnostic performance is affected by its hidden layer element smoothing factor (σ), the modified bat algorithm (MBA) is used to optimize the PNN to obtain optimal global parameter values. The MBA adopts a better optimization mechanism than the basic algorithm and achieves excellent global convergence. It can globally optimize the smoothing factor, which effectively improves the fault diagnosis ability of the PNN. During the testing of the Tennessee Eastman (TE) process data set, we evaluate the performance of the proposed model by comparing the F₁‐score and accuracy of the different methods. The charts provided describe the fault diagnostic results and classification for the different models. The results indicate that the MBA has a better optimization ability than other traditional optimization algorithms. At the same time, the combination method proposed in this paper is also superior to others and can significantly improve the accuracy of TE process fault diagnosis.     

高伸长率冷轧双相钢DP980显微组织及性能

摘要：为了进一步提高冷轧双相钢DP980的强塑性，采用低C-Si-Mn-Nb-Cr成分，通过调整连续退火工艺参数，系统研究了工艺组织性能的关系，利用OM、SEM、EBSD分析了不同退火温度条件下各相的比例、尺寸、形貌、分布，同时利用力学拉伸试验手段研究了连退两相区退火温度对强塑性的影响。结果表明，通过优化调整连续退火工艺，不仅可以在冷轧铁素体和马氏体双相钢的组织上获得少量的残余奥氏体，也能细化再结晶晶粒，最终获得ReL/Rm≤0.5、高伸长率A50≥15%的冷轧DP980，提高强塑性的同时改善了成型性能。     

电阻层析成像技术及其在水合物开采模拟实验中的应用

电阻层析成像是一种可视化的无损测量手段,可以为天然气水合物开采过程室内模拟实验提供有效的监测途径。首先介绍了电阻层析成像技术的工作原理、发展历程与应用现状,重点对电阻层析成像技术在天然气水合物室内模拟实验方面的主要应用进行了综述,并分析了存在的问题,在此基础上给出了解决问题的建议,为下一步开展水合物的电阻层析成像实验提供参考。     

超高强韧油井管合金设计与高强韧机制

 为了揭示1 000 MPa级低碳加铌钒钛微合金钢的高强韧机制,研究了S1(w(C)=0.09%)与S2(w(C)=0.17%)两种合金成分的油井管钢成分-工艺-组织-性能关系。试验表明,两种成分试验钢经水淬后的组织分别为板条贝氏体加少量马氏体和马氏体加少量贝氏体的复相组织。两种成分钢经过450~600 ℃、30 min的中温回火后,组织中均出现碳化物析出,且S1试验钢回火后的屈服强度基本不变,抗拉强度下降了约70 MPa,S2试验钢回火后的屈服强度与抗拉强度迅速升高170 MPa左右。溶度积公式的计算结果表明,两种钢的水淬组织中铌、钛元素析出彻底且析出物的体积分数都很小,因此回火铁素体基体中的VC析出强化对S1试验钢回火后屈服强度保持不变以及S2试验钢回火后屈服、抗拉强度提高起到重要作用。