带式输送机传动装置设计

本次设计的题目是"带式输送机传动装置的设计"。进行结构设计并完成带式输送机传动装置中减速器的传动比、零件图设计及主要零件的工艺、工装设计。本次的设计具体内容主要包括,带式输送机传动总体设计、主要传动机构设计、主要零部件设计、电动机的设计等设计一套主要件的带式输送机传动装置的工艺装备。     

中国化工装备协会2014年压力容器设计许可评审单位在质量控制及设计文件方面存在问题综述

<正>本文针对2014年压力容器设计许可鉴定评审中发现的问题,对设计单位设计文件存在的主要问题进行总结归纳,所存在的问题主要表现在执行压力容器相关法规、技术规范和标准等方面。有关设计单位条件、质量保证体系建立、健全及质量保证体系实施和设计管理方面与往年评审过程中发现问题类同,因此本文主要对设计文件中存在的主要问题进行综述,旨在为压力容器设计     

自控设计在联合站的应用

根据联合站自控设计的主要内容,介绍自控设计的主要设计方法、控制系统的组成、各系统的检测内容、仪表的选型等。     

陶瓷工业热工设备CAD系统开发及应用(VI) 钢架结构设计计算

本文介绍钢架结构设计计算系统所用主要设计计算公式、数据库结构及数据管理、主要程序结构设计等。     

玻璃工厂碎玻璃系统设计探讨

本文主要对玻璃工厂碎玻璃回收系统的设计进行分析和讨论,探讨设计流程的确定方法和主要设计原则,从而达到设计的合理性、经济性和实用性。     

氨醇原料气脱硫催化剂的选择及设备的设计问题（下）

3 主要设备的设计问题 这里说的主要设备的设计问题，是指脱硫塔、再生槽及其喷射器的设计问题，且主要针对那些在技术改造、扩大规模及改变脱硫方法时，不经过有经验的设计单位和技术开发单位，自己本身技术力量又较薄弱的单位而言。     

疲劳设计方法简介

疲劳破坏是零构件的主要失效形式。本文主要介绍了几种常用的抗疲劳设计方法——无限寿命设计、安全寿命设计、损伤容限设计、耐久性设计。各种方法不是相互取代,而是相互补充的。不同构件,不同情况,应当采用不同方法。     

陶瓷工业热设备CAD系统开发及应用(Ⅳ)——能量平衡计算

本文介绍能量平衡计算子系统所使用的主要设计计算公式、数据库结构及数据管理、主要程序结构设计等。     

浅谈工程履带水性漆浸漆生产线工艺规划设计

从工程履带涂装线工艺规划的角度,阐述了工程履带涂装线工艺规划设计过程。主要介绍了设计输入、工艺设计、主要工艺设备、工艺平面布置、规划设计完成等工程履带涂装线工艺设计的内容。     

炭黑气力输送系统分析研究

分析了不同炭黑气力输送系统的工作原理及主要优缺点，重点探讨了炭黑正压密相气力输送系统的设计流程、主要零部件的设计及选型，为正确选择和设计炭黑气力输送系统提供依据。     

纯物质临界参数估算方法的研究进展

纯物质的临界参数在描述流动相行为、预测物质性质、发展状态方程等方面都是非常重要的。临界参数的准确与否直接影响其它物性参数的估算结果。通过建立数学模型为缺少的临界参数进行预测估算,是人们获得临界参数的重要研究途径。本文对纯物质临界参数的估算方法进行了综述。主要介绍了其与其它物性相关联的估算方法、基团贡献法、基于液体状态方程的估算方法、定量结构性质关系法（QSPR法）等几类具有代表性的临界参数估算方法;并重点阐述了这些方法的原理、应用范围、优缺点及最近几年的进展情况;最后指出随着科学和计算机的快速发展,估算临界参数的方法也将不断完善和提高,具有更好的通用性和精确度,进而为化工流程模拟、工程设计计算、科研生产及应用研究提供更加可靠的数据。     

Methodology for material property determination

Predicting solid material pyrolysis requires numerous parameters/properties that are time consuming and difficult to measure. Multiobjective optimization techniques have been used to determine these parameters; however, a methodology for the types of tests needed for the optimization and parameters that should be optimized versus measured has not been fully established. This study investigated combinations of testing protocols and parameters for optimization to determine a testing and optimization methodology that results in the accurate parameters. A Shuffled Complex Evolution (SCE) optimization routine was used to determine parameters based on some parameters being known (ie, measured) and others being determined through optimization and different combinations of types of input data. The results indicate that material testing should be done at three different heating rates in a thermogravimetric analyzer (TGA) and at three different heat fluxes in the cone calorimeter. The TGA tests and two cone calorimeter tests are input into the SCE optimization routine to determine the remaining parameters. The third cone calorimeter test is used to validate the parameters determined using the methodology. The method provides parameters within 20% of the actual parameters input into the Fire Dynamics Simulator (FDS) virtual experiment models. This method is applied to Polymethyl methacrylate (PMMA) experimental data to prove effectiveness.     

Bayesian analysis for determination and uncertainty assessment of strength and crack growth parameters of brittle materials

To determine the strength and the crack growth parameters of brittle materials, the common approach is to first evaluate the strength and then the crack growth parameters. When the parameters are needed for different temperatures, the procedure is repeated for each temperature of interest. Since the number of test specimens is generally small, the separated analysis of strength and crack growth parameters for each tested temperature leads to large parameters uncertainty. In order to improve the accuracy of the parameters, we propose a Bayesian method that allows to combine all strength and lifetime data obtained at different temperatures and determine the distribution of all material parameters in a single analysis. The results obtained from the analysis of measured skutterudite data show that in comparison to the standard approach the presented method significantly reduces the material parameters uncertainty and therefore is well adapted for a reduced number of samples.     

利用测井资料计算基于三轴实验的岩石力学参数

三轴岩石力学实验得到的静态岩石力学参数较真实地反映了地层岩石机械特性。利用有限的实验数据和丰富的测井资料,经岩心归位、动静态岩石力学参数转换,建立了工区岩石力学参数的测井计算关系式,由此获得关键井的连续岩石力学参数剖面。对比发现,测井计算值与归位后的实验值具有相同变化趋势,相对误差较小,可推广应用到工区其他井。     

PR方程对固体溶质的模拟计算

采用Bond i Rad ii理论计算有机物的范德华体积,从而进一步计算范德华参数,并结合PR方程计算了苯乙烯在超临界CO2中的溶解度,拟合了一些物质的二元交互作用参数,与原PR方程的计算结果进行了比较。结果显示,该法可很好地用于研究缺少范德华参数和临界参数的物质在超临界流体中的溶解性及其他性能。     

AN APPLICATION OF THE SCHUR-COHN ALGORITHM TO TIME SERIES ANALYSIS

Abstract. Standard least squares analysis of autoregressive moving-average (ARMA) processes with errors-in-variables entails the construction of a new set of parameters which are functions of the original ARMA parameters, and requires that derivatives of these new parameters of order three or less with respect to the ARMA parameters exist and be bounded. The boundedness of these derivatives in turn depends critically on the nonsingularity of a matrix B which is a function of the ARMA parameters via the new parameters in the model. A particular version of the classical Schur–Cohn algorithm enables us to establish this nonsingularity.     

A new approach for the estimation of kinetic parameters in emulsion polymerization systems. I. Homopolymerization under zero–one conditions

A new method for the estimation of kinetic parameters in emulsion polymerization systems is presented. This method is based on studies of the evolution of monomer conversion in chemically initiated seeded emulsion polymerization systems. In this paper, homopolymerization under zero—one conditions is considered. The method is based on a fundamental model that includes the free radical balance in the aqueous phase and fundamental parameters such as the entry and exit rate coefficients, the termination rate constant in the aqueous phase, and the rate coefficient for initiator decomposition. These parameters, as well as the propagation rate constant, are the estimable parameters. This method, which uses all available data simultaneously in order to estimate the parameters, is checked by using simulated experimental data generated with exact values of the parameters. The criteria for deciding the usefulness of the present approach are the closeness of the fit to the original data and the match of the estimated kinetic parameters to the exact values of the parameters. It was found that accurate values of the parameters are obtained with the present approach provided that a sufficient number of experiments with a minimum range of variation are available. A study of both the minimum number of experiments and the minimum range of variation of the experimental conditions needed to estimate reliable parameters is presented. Also, the effect of both random and systematic errors is included in this study. Finally, a comparison between the present approach and those previously published in the literature is presented.     

Influence of structural parameters on the properties of electrolytic Ni–Mn–S deposits

Microstructural parameters such as coherent domain size, microstrain, dislocation density and texture of electrolytically plated Ni–Mn–S layers were investigated by X-ray analysis. Structural parameters, layer composition and the macroproperties are discussed and explained. With the help of a statistical regression analysis the correlation coefficient r2 and its relationship with the investigated parameters is determined. It is shown that the microstructural parameters play an important role in determining the macroscopic properties. The manganese concentration is shown to influence the structural parameters, but no influence of sulphur is found. It seems that a relationship of the structural parameters with the macroscopic properties is valid in general and is not a special case. There structural correlations can be used in general for processing electrolytic deposits for required applications.     

PARAMETER ESTIMATION OF MONOD KINETICS WITHOUT BIOMASS DATA AND INITIAL SUBSTRATE CONCENTRATION

The uniqueness of the parameters in a Monod kinetics model estimated from substrate depletion and product growth data were analyzed using nonlinear regression. The initial substrate and biomass concentrations were considered as unknown (unmeasured) parameters. Simulated data containing known measurement errors were generated first using specified parameters and then these data were used for the analysis. Sensitivity coefficients were determined by differentiating the original differential equations of the Monod kinetics. A procedure for determining the scale factors for the parameters (used in the nonlinear regression method) has also been developed. The number of parameters that can be determined uniquely depends on the region of substrate depletion (first order, mixed order or zero order). The availability of product data leads to additional estimation of parameters in the mixed order region. The number of parameters that could be estimated are identified qualitatively by the sensitivity coefficient analysis and quantitatively by analyzing the orthonormal eigenvectors of the Gauss-Newton matrix in the nonlinear regression algorithm. Experimental data on aerobic and anareobic substrate depletion were used to estimate the parameters and validate the analysis.     

Process Optimization of Ultrasonic Extraction of Puerarin Based on Support Vector Machine

In ultrasonic extraction technology, optimization of technical parameters often considers extraction medium only,without including ultrasonic parameters. This paper focuses on controlling the ultrasonic extraction process of puerarin, investigating the influence of ultrasonic parameters on extraction rate, and empirically analyzing the main components of Pueraria, i.e., isoflavone compounds. A method is presented combining orthogonal experimental design with a support vector machine and a predictivemodel is established for optimization of technical parameters. Fromthe analysiswith the predictivemodel, appropriate process parameters are achieved for higher extraction rate. With these parameters in the ultrasonic extraction of puerarin, the experimental result is satisfactory. This method is of significance to the study of extracting root-stock plant medicines.