利用计算机辅助经济分析选择采矿方法

矿山设计的目的在于确定开拓方式，选择一种或多种采矿方法回采矿石，其中一部分是采矿生产计划、包括采矿工作量、生产成本和预计的年收入。本文旨在利用所开发的计算机微型，对矿山设计的这些方面进行检验。这些模型可对连续矿体的单个或多个采场进行设计并完成经济分析。     

选择采矿方法的计算机辅助经济分析(一)

矿山设计的最终目的是采用1个或多个方案确定有关的开发工作和所需的资源。此过程的一部分是编制采矿生产计划或设计以及预测所期望的收益。目的是利用编制的计算机模型验证矿山设计的各个方面。对于连续的矿体，利用这些模型能够对1个或多个采场进行设计和经济分析。     

选择采矿方法的计算机辅助经济分析（一）

矿山设计的最终目的是采用１个或多个方案确定有关的开发工作笔所需的资源。此过程的一部分是编制采矿生产计划或设计以及预测所期望的收益．目的是利于编制的计算机模型验证矿山设计的各个方面。对于连续的矿体，利用这些模型能够对１个或多个采场进行设计和经济分析。     

基于SURPAC软件矿山数字化的应用

基于SURPAC软件建立的三维矿山数字化模型,对该模型在三维可视化、采矿设计、地质统计、矿产储量动态化管理、安全预警系统的建立、与数值模拟的耦合、矿山生产管理与经营决策优化等方面的应用分别进行了具体分析,体现了矿山数字化对于安全高效采矿的价值。     

基于SURPAC软件矿山数字化的应用

基于SURPAC软件建立的三维矿山数字化模型,对该模型在三维可视化、采矿设计、地质统计、矿产储量动态化管理、安全预警系统的建立、与数值模拟的耦合、矿山生产管理与经营决策优化等方面的应用分别进行了具体分析,体现了矿山数字化对于安全高效采矿的价值。     

鞍钢露天铁矿边坡工程特征及边坡研究与评价

鞍钢拥有＞３００万ｔ／ａ铁矿石的露天开采矿山五座，这些矿山生产和采矿设计各个不同时期、不同阶段都需要进行露天边坡稳定性研究。１９７９年以来，我们根据矿山边坡工程地质、水文地质特征，结合采矿设计及矿工艺的特点，本着分期开采、分期评价的原则，分别对这些露天矿山进行了系统的边坡稳定性研究，并取得了显著的经济效益和社会效益。     

基于3DMine的露天采矿设计

采矿设计是矿山建设和运营的一个关键环节。采矿设计需要综合考虑矿山资源状况、开采技术条件、矿产品销售价格、矿石开采及处理成本等多种因素,以实现经济效益最大化。目前三维矿床模型和采矿三维设计方法的完美结合使采矿设计更为简化,并可获得良好的动态效果。以利比里亚某铁矿为例,利用3Dmine三维矿业软件,建立了地表地形、矿体实体和块体模型。在此基础上进行了露天开采境界优化、开拓运输系统布置、采剥进度计划编制等采矿设计。结果直观反映了采矿设计方案及数据变化关系。同时讨论了不同矿石价格及不同台阶对露天境界的影响,分析了不同条件下剥采比的变化情况。在实际生产中,可根据不同情况适时调整露天开采境界,以实现最优的矿山经济效益。     

现代先进技术在采矿设备的应用与发展

介绍了我国采矿设备的现状,就多种先进技术在矿山采矿设备上的应用进行了论述,包括机电一体化、Can-Bus总线、变量液压系统、比例液压控制和远程监控等,分析了这些先进技术对提高采矿设备性能的作用和影响,并对今后的发展进行了展望,为各类新型采矿设备的设计开发提供参考。     

现代先进技术在采矿设备的应用与发展

介绍了我国采矿设备的现状,就多种先进技术在矿山采矿设备上的应用进行了论述,包括机电一体化、Can-Bus总线、变量液压系统、比例液压控制和远程监控等,分析了这些先进技术对提高采矿设备性能的作用和影响,并对今后的发展进行了展望,为各类新型采矿设备的设计开发提供参考。     

3DMine在某钨锡矿三维建模及爆破设计中的应用

利用3DMine建立了某钨锡矿的三维可视化模型,实现了矿山三维模型的可视化与基本三维分析,同时进行矿体回采的中深孔爆破设计,为矿山的采矿设计、生产及管理等提供初步指导。     

Dynamic modelling of E-waste recycling system performance based on product design

E-waste covers a wide range of products as well as dismantled and/or sorted components originating from these. Being able to predict the flow of materials and recycling performance for different E-waste types requires a fundamental and flexible basis in which E-waste design properties are linked to liberation and separation performance of recycling. This paper discusses the authors’ design-determined liberation and dynamic models to predict and monitor E-waste recycling technologically, economically and environmentally.The uniqueness of this work lies in the modelling of product design characteristics in terms of design tables that define the mass and material connections derived from the design in real-time. The shredding process is modelled by defining shredder connection, and shredder liberation tables, based on heuristic derived from extensive data collection on design and shredder experiments. This allows for the design-driven modelling of material liberation in the shredding process. The heuristic modelling of liberation behaviour and the prediction of particle composition and degree of liberation after shredding based on design-driven shredder modelling are a novel approach to link design to recyclate quality and recycling performance. Key to this work is that the multi- and mono-material composition of particles after liberation are not pre-defined as in earlier work, but are predicted as a function of design choices and can vary accordingly. The evolution of these models is underpinned by extensive industrial data collection on product design of various WEEE categories, which was used to define and calibrate the models.The time dependent characteristic of design and recycling technology requires the adoption of dynamic modelling to predict recycling performance over time. The discussed dynamic and predictive framework provides a first principles basis for the calculation of the dispersion of harmful/valuable elements and environmental impact. This optimizes the spending of money on large scale trials and monitoring test to establish these results. At the same time legislation and policy on recyclability of products can be tested if it stands the test of time or if new designs comply with environmental legislation in the future.Prediction of recycling performance, recyclate quality and toxicity as a function of product design, shredding and (future) recycling system configurations will be demonstrated in various industrial examples, which includes an evaluation if shredding is advisable or not for precious and platinum group elements recovery during recycling. Also the so important balance between energy recovery and feedstock recycling is shown.     

大型香蕉筛下横梁截面形状的研究

在实际生产中,大型香蕉筛下横梁经常发生断裂,严重影响香蕉筛的使用寿命和运行效果。以3661香蕉筛下横梁为研究对象,分析了下横梁在实际工作中的受力情况,利用solidworks软件建立了五种不同截面形状的下横梁横实体模型,利用有限元分析软件对五种下横梁进行了应力计算。从计算结果发现无论是最大位移还是最大应力,圆形管梁是五种横梁中较为理想的下横梁,为提高下横梁的可靠性提供设计思路。     

Dynamic modelling of copper solvent extraction mixer–settler units

The copper Leaching, Solvent Extraction and Electrowinning circuit (LX–SX–EW) is one of the most effective processes for extracting copper from low grade ores. This work focuses on the liquid–liquid extraction SX sub-process, since many difficult to handle operational problems within LX–SX–EW circuits are related to SX malfunction. Controlling these problems better can reduce operational costs and increase recovery and copper production. Realistic dynamic simulation is a standard tool nowadays to design and assess more effective control strategies. In this work we present a general dynamic model for SX mixer–settlers, and applied it to two different units, one located in an extraction stage and the other in a stripping stage of a copper plant. The model includes a non-trivial settler hydrodynamics represented by a set of nonlinear differential equations for both mixer and settler units. The mixer is modelled as a continuous stirred tank reactor and the settler as a hydrodynamic circuit combining series and parallel connections of continuous stirred tank and plug flow reactors. The model was calibrated with industrial plant data, resulting in realistic simulations of outlet copper concentrations. Using the proposed model, we obtained better fitting than that achieved with simpler settler models that include only a time delay. The model fitting parameters provide sufficient flexibility to accurately reproduce the dynamics of different units in industrial plants.     

An evaluation of different models of water recovery in flotation

Water recovery is one of the key parameters in flotation modelling for the purposes of plant design and process control, as it determines the circulating flow and residence time in the individual process units in the plant and has a significant effect on entrainment and froth recovery. This paper reviews some of the water recovery models available in the literature, including both empirical and fundamental models. The selected models are tested using the data obtained from the experimental work conducted in an Outokumpu 3 m³ tank cell at the Xstrata Mt Isa copper concentrator. It is found that all the models fit the experimental data reasonably well for a given flotation system. However, the empirical models are either unable to distinguish the effect of different cell operating conditions or required to determine the empirical model parameters to be derived in an existing flotation system. The model developed by [Neethling, S.J., Lee, H.T., Cilliers, J.J., 2003, Simple relationships for predicting the recovery of liquid from flowing foams and froths. Minerals Engineering 16, 1123–1130] is based on fundamental understanding of the froth structure and transfer of the water in the froth. It describes the water recovery as a function of the cell operating conditions and the froth properties which can all be determined on-line. Hence, the fundamental model can be used for process control purposes in practice. By incorporating additional models to relate the air recovery and surface bubble size directly to the cell operating conditions, the fundamental model can also be used for prediction purposes.     

Multi-scale modeling in microstructure evolution of materials

1 IntroductionDevelopment of new materials depends on the try and error process for human beings in past long his-tory .It is dreamed to design and control materials intellectually . Computational materials science can bebelieved beginning at 1964 if alloy designis assumedto be the first successful attempt totailor properties ofmaterials quantitatively[1]. However , computational materials science has become a popular researchbranchjust within past ten years thanks to the intensive research ac…     

Multi-scale modeling in microstructure evolution of materials

Intelligent design and control of the microstructure to tailor properties of materials is the dream that materials scientists have been worked hard for many years. Formation of research area of computational materials science paves the way to realize the dream. Simulation of microstructure evolution is a chief branch of the computational materials science and has caused great attention from materials researchers. Multi-scale modeling gets popular just within 5- 6 years recently due to huge research works to try to shorten the distance between simulation and application. People have to command one or more classical simulation methods in order to do the multi-scale modeling so chief simulation methods will be discussed first and then more reviews in detail are given to the phase field simulation. The main part of the paper is carried out to introduce two key approaches to do the multi-scale modeling job. It is suggested that extension of the multiscale modeling is necessary to study the technologies to link microstructure simulation, processing simulation and property simulation each other as well as to build bridges between different simulation methods and between analytical models and numerical models.     

Multi-scale modeling in microstructure evolution of materials

Intelligent design and control of the microstructure to tailor properties of materials is the dream that materials scientists have been worked hard for many years. Formation of research area of computational materials science paves the way to realize the dream. Simulation of microstructure evolution is a chief branch of the computational materials science and has caused great attention from materials researchers. Multi-scale modeling gets popular just within 5- 6 years recently due to huge research works to try to shorten the distance between simulation and application. People have to command one or more classical simulation methods in order to do the multi-scale modeling so chief simulation methods will be discussed first and then more reviews in detail are given to the phase field simulation. The main part of the paper is carried out to introduce two key approaches to do the multi-scale modeling job. It is suggested that extension of the multiscale modeling is necessary to study the technologies to link microstructure simulation, processing simulation and property simulation each other as well as to build bridges between different simulation methods and between analytical models and numerical models.     

防爆型涡街流量计检测电路分析

本文论述了防爆型涡街流量计检测电路的设计原则，并对具体电路作了较详尽的剖析。作为开发研究工作的总结，期望对生产调试人员和长期从事现场工作的人员有所裨益。     

基于Pro/E的堆煤场给料机位置优化设计

物料堆场的返料系统有多种方式,介绍的优化设计方法是基于采用给料机的返料系统,即:物料堆场下部设置给料机,给料机下部设置带式输送机。物料通过重力以自溜的方式进入给料机,通过给料机转载至带式输送机上,从而进入生产系统。通过Pro/E软件中的优化设计功能对给料机的定位尺寸进行优化,使得更多的物料能以自溜的方式进入给料机,从而减少了地面铲车的数量及工作量,节约了成本。     

Modeling of energy loss to the environment from a grinding mill. Part I: Motivation,literature survey and pilot plant measurements

Grinding mills are generally very inefficient, difficult to control and costly, in terms of both steel and power consumption. Improved understanding of temperature behaviour in milling circuits can be used in the model-based control of milling circuits. The emphasis in this work is to develop a model for the overall heat transfer coefficient as a function of the load volume, mill speed and design of mill shell/liner using the energy balances in order to model energy loss from the mill. The energy loss via convection through the mill shell is accounted for by quantifying the overall heat transfer coefficient of the shell. The ambient temperature allows the model to account for convective loss. Firstly the models of temperature behaviour are developed followed by the development of the model for the overall heat transfer coefficient for the pilot dry batch mill. The practical aspects of the work involved the measurement of the temperatures of the mill load, air above the load, the liners, mill shell and the environmental temperature. Other measurements were: mill power and sound energy from the mill. Energy balances are performed around the entire mill. The model for the heat transfer process is parameterized in Part II.