矿浆多参数在线检测系统设计

针对现有矿浆浓度检测系统存在的测量数据单一、取样过程易沉降、难以检验所取样品均匀性等缺点,设计了一种矿浆多参数在线检测系统。基于称重法测量原理实现对矿浆浓度、体积流量、质量流量等多参数的在线检测。使用基于旋流消能法的取样器实现对原矿浆均匀化及防沉降处理。基于水力学孔流原理实现对取样矿浆的均值化处理及均匀性检验。在云南某选矿厂的长期应用结果表明:检测系统所测数据与浓度壶所测数据差值在2%以内,满足工业精度要求。由取样器取出样品的不均匀度在1%以内,取样过程未出现沉降、堵塞等现象,取样效果良好。     

基于改进的RS-TOPSIS模型的岩爆倾向性预测

针对目前岩爆倾向性中预测模型权重确定存在不足导致模型精度不高的现状,为更准确地预测岩爆倾向性,提出综合运用粗糙集理论中的代数观和信息观,确定属性最优权重,并修正岩爆倾向性与评价指标之间的关系,建立岩爆等级理想点矩阵。根据岩爆发生条件,选取岩石脆性指数、切应力指标和弹性应变能指数3项指标作为岩爆判别指标,以国内外20组典型岩爆数据为样本,建立改进的粗糙集—理想点法（RS-TOPSIS）岩爆倾向性预测模型,并应用该模型对玲珑金矿等工程实际进行了岩爆倾向性预测。结果表明：改进后样本预测精度相比于改进前有了显著提高,所建立的模型对实际工程的岩爆倾向性预测效果良好,预测结果更准确。     

AKD中性施胶

介绍了几种测定纸页中AKD含量的方法,并对AKD的施胶机理和影响AKD施胶的因素作了简单总结。     

Hydrogen production from organic fatty acids using carbon-doped TiO2 nanoparticles under visible light irradiation

The photocatalytic production of H₂ using carbon-doped TiO₂ (CTiO₂) nanoparticles has been investigated in single or mixed systems of organic fatty acids (OFAs) under visible light irradiation, including acetic acid, propionate acid, butyric acid and lactic acid. When OFAs were applied at the same electron density (10 e-eq L^?1), the H₂ evolution rates followed the order of propionic acid > butyric acid ≈ acetic acid > lactic acid, whereas at the same molar concentration (0.5 mol L^?1), that order changed to lactic acid > acetic acid > butyric acid ≈ propionic acid. This result implied that the electron transfer efficiency differed from four OFAs, probably due to their different affinity with CTiO₂. O₂^?? and CH₃? partially contributed to OFAs degradation and H₂ production. The quantum dynamics simulations of electron transfer revealed that the dominant mechanism of H₂ production was direct electron transfer from adsorbed OFAs to CTiO₂. This work aims to pursue the synergy of solar energy utilization and conversion of OFAs into H₂.     

影响辊压机挤压效果的原因分析

我公司水泥粉磨系统是采用合肥水泥研究设计院提供的挤压联合粉磨系统,其中主机设备为H FCG140-65辊压机+SF600—140打散分级机+!3.8m×13m高产高细开路磨,2004年7月开始试生产,经过一年多的生产实践摸索,现在磨机台时产量稳定在110t/h左右,最高可以达到120t/h多。在此基础上,我们经过认真的分析,认为磨机台时的高产是与之相配套的辊压机良好的挤压效果分不开的,因此,我们把一年多来在实际运行中影响辊压机挤压效果的因素归纳总结出来,供同行参考。1入辊压机物料对挤压效果的影响1.1物料粒度我公司辊压机设计最大入料粒度为80m m,合理粒…     

水平梯度和映射函数对PPP对流层延迟估计的影响分析

基于GPS精密单点定位(PPP)技术,比较分析了水平梯度及目前三种主要的映射函数(NMF,VMF1和GMF)对天顶对流层延迟(ZTD)估计精度的影响.研究结果表明,在气象变化剧烈和低高度截止角情况下,附加水平梯度的对流层延迟模型有利于提高ZTD精度;就映射函数效用而言,VMF1和GMF较NMF更优.     

基于ANSYS磨料水射流机床悬臂梁刚度的有限元分析

目前二维半磨料水射流机床大多采用悬臂梁结构。悬臂梁是磨料水射流切割头及其附件的重要承载部件,其刚度直接影响机床的加工精度。针对磨料水射流机床的悬臂梁进行了三维建模,并基于ANSYS对其进行了模态和频率响应分析。分析的结果为磨料水射流机床的减振、防振提供了理论依据。     

Coupled lateral-torsion vibration of asymmetric shear-wall structures

This paper presents an analysis of dynamic performance of asymmetric shear-wall structures. In the analysis, the asymmetric shear-wall structure is replaced by an equivalent thin-walled beam with lateral flexure and warping torsion deformations. Due to the asymmetry of the floor plan, the natural vibration of the structure is a coupled vibration, where lateral flexure vibrations in two orthogonal principal directions couple with a warping torsion vibration. Based on the continuum technique and the D'Alembert's principle, the governing differential equation of natural vibration and the corresponding eigenvalue problem for asymmetric multi-bent wall structures are derived. By employing the Galerkin technique, a method of solution is proposed for analysis of coupled vibration of generally asymmetric shear-wall structures and for estimate of the coupled natural frequencies and associated mode shape in coupled vibration. Results obtained from the proposed method for the example structure show good agreement with those of finite element analysis. It has been shown that the proposed analysis provides an efficient and accurate means of dynamic analysis of asymmetric shear-wall structures in coupled vibration.     

不确定度评定法预测再制造机床定位精度及其工程应用

根据不确定度B类评定的知识,提出一种简单、实用的方法,预测再制造机床定位精度。并以单轴伺服进给机械系统为研究对象,给出了预测模型的计算公式。以此为基础开发了定位精度的预测软件,该软件可方便地得到计算结果并直观地显示各因素对定位精度的影响程度。最后结合生产实例进行计算分析并与验收结果进行比较,表明该方法是可行的。     

A systematic approach to preliminary polymer process development: modeling and design

A general and complete methodology is presented to facilitate systematic modeling and design of polymer processes during the early development period. To capture and handle the subjective type of uncertainty, embedded in the preliminary process development, fuzzy theories are used as a basis to model and design the process in the presence of ambiguity and vagueness. Physical membership functions are developed for mapping the relation between process variables and the associated fuzzy uncertainties. Based on the qualitative results generated using our previously proposed “linguistic based preliminary design method,” the process modeling can be followed even in the absence of any process governing equations. The modeling is carried out by establishing an appropriate fuzzy reasoning system which provides a specific functional mapping that relates input process variables to one (or more than one) output performance parameter(s). A reduced yet feasible domain is generated by our qualitative design scheme to constrain the process variables. Now, any optimization routine can then be employed to search for a proper process design. We demonstrate the effectiveness of the proposed methodology by its application to a typical compression molding process.