4th Semester MME

The main objective of the course is to familiarize the students with the principles of momentum, mass and heat transport phenomena. Topics to be covered include: ▪ Introduction to Transport phenomena. Basic concepts. Equilibrium and rate processes. Simple material and energy balances. ▪ Molecular transport mechanisms. Examples of molecular transport processes include heat conduction (energy transfer), molecular diffusion (mass transfer), and fluid flow (momentum transfer). The analogy between heat, mass and momentum transfer. Fourier, Fick and Newton Laws. The one-dimensional transport equations. Transport properties (thermal conductivity, diffusivity, viscosity). ▪ The conservation concept. Input-output balance, generation, accumulation. The general balance equation in differential form. The continuity equation. ▪ Molecular transport under steady state conditions (one direction transfer problems). Heat and mass transfer without or with a constant generation term. Momentum transfer with generation terms (fluid flow under pressure gradients and gravitational fields). Laminar flow in a tube. Laminar flow between parallel plates. Introduction to tubular flow. ▪ Transport with Net Convective Flux. Review of convection. Simple heat and mass transfer problems with convection. The Navier-Stokes equations for incompressible fluids. Mass diffusion phenomena (binary mass diffusion in gases and liquids, diffusion in solids). ▪ Integral methods of analysis. Integral mass balance, mass balance of individual species, momentum balance, energy balance. Bernoulli equation. Fluid statics (manometers). ▪ Dimensional analysis. Meaning and use of dimensionless numbers. Reynolds, Peclet, Prandtl, Schmidt, Nusselt, Sherwood numbers, etc. Rayleigh Method of Analysis.

This is an introductory course with a series of lectures in the area of ecosystems focusing on the water and air as environmental resources amenable to pollution. The course provides essential background knowledge in the mining and metallurgical engineering in the topics of environmental pollution. Specifically, it focuses on the sources of particulate air pollution and CO2 emissions from the energy production sector and the industrial mining activities as well as on the sources of air pollution from the metallurgical industry. One of the main objectives of the course is the introduction of the students to the principles and functions of the ecosystems by presenting the main elements cycles (e.g. carbon, nitrogen, sulfur and phosphorus) with particular focus on the increased carbon emissions which causes the greenhouse effect and other global level climate change phenomena. The role and the function of the aquatic ecosystems and the atmospheric environment are presented and analyzed. The students are familiarized with air and water quality parameters in terms of pollution sources, pollution dispersion and pollution effects to the humans and the environment. The course is also focused on the pollution of water bodies with organic discharges and presents the basic monitoring parameters such as the dissolved oxygen, the biochemical oxygen demand (BOD) and the chemical oxygen demand (COD). These monitoring parameters are explained in the lectures as well as with laboratory practices. At the field of air pollution, the students are familiarized with the concept of the point and dispersed pollution sources for gaseous and particulate pollutants. The importance of particulate materials in terms of size and composition in human health and the environment is presented. Pollution dispersion models are taught by tutorials with simulation software. By completion of this course the students should have acquired the skills to identify/describe: ▪ The role and the function of the ecosystems on the environment. ▪ The cycle of the fundamental elements in the environment. ▪ The pollution sources and the chemical pollutants in the atmospheric and aquatic environment ▪ Large scale environmental problems such as the greenhouse effect and the global warming. ▪ The effect of specific pollutants and assess their impact in the environment. ▪ Identify the industrial activities producing airborne particulate material. ▪ Identify the significance of the airborne particulate material according to their size and composition. ▪ Compute with pollution dispersion models the transport of the pollutants in the environment. ▪ Evaluate data from environmental sampling and monitoring campaigns. ▪ Acquire basic laboratory skills for measuring water quality parameters such as the dissolved oxygen, the biochemical oxygen demand (BOD) and the chemical oxygen demand (COD). ▪ Acquire basic laboratory skills for applying air sampling protocols for the measurement of the particulate maters in air samples.

exercises. Subsurface exploration methods – Mineral exploration 7104 Basic elements, definition and procedure of mineral exploration. Investments and financial risk, expected payoff value, decision analysis, decision trees, value of information, Bayesian statistics. Exploitability of deposits and ore reserve categories, economic feasibility of exploitation, economic indicators, net present value. Indirect exploration methods: gravitational, magnetic and electromagnetic method, design and execution of geophysical field measurements, elaboration, interpretation and development of subsoil models, correlation of geophysical results, applications in mineral research. Direct exploration methods: Drill hole sampling, drilling rigs, rotary drilling, mechanical equipment, drilling parameters, sample collectors, soil pickers, standardization. Sampling and statistical population: sampling error, graphical solution of the problem of sample processing. Design of an exploration drilling campaign: calculation of detection probabilities with grids of different dimensions, number of drillings and degree of certainty, calculation and control of statistical parameters and confidence intervals of the results. Ore reserves estimation: data accumulation and storage, numerical model of the deposit, cut-off grade, estimation by conventional and by geostatistical methods. Evaluation of the investment plan, mine operation life and production capacity, initial amount of investment, operating costs, expected cash flow, environmental impact assessment, feasibility study, cash flow table.

Descriptive statistics. Probability: definitions, laws and properties. Conditional probability. Independent events. Total probability. Bayes’ theorem. Random variables and their distributions. Mean and variance and their properties. Important basic distributions. Bivariate random variables. Central limit theorem. Sampling distributions: χ2, t and F. Point estimation, confidence intervals and tests of hypotheses. The linear model: estimation and tests on parameters, coefficient of determination (R2), prediction. Applications using computers. Laboratory exercises.

The overall aim of the course is to develop students’ ability to understand and produce academic discourse in English within the field of Mining and Metallurgical Engineering. Emphasis is placed on the conventions of academic writing, effective management of scientific sources, and the development of research literacy and presentation skills. Through the analysis of research papers, and, in particular, the Αbstract and Introduction sections, students become familiar with the structure and linguistic style of academic writing. The course also provides practice in writing scientific texts and delivering clear, well-structured academic presentations that reflect critical thinking and appropriate use of English in an academic context.