Course description
In the current training, modeling and simulation approaches are presented that provide good premises for the research, development and optimization of metallurgical operations.
This Training includes approaches carried out with commercial software (HSC Chemistry® software, Outotec) and with non-commercial approaches. Prior knowledge on HSC Chemistry® software is recommended, but not necessary. One can find training on HSC Chemistry® from Outotec for example.
Focus of the training is on hydrometallurgy. Training includes model building, reliability analysis of models and benefits and drawbacks of modeling and simulation. After the training, it is expected that participants have higher perception of potential bottlenecks in operations or threats concerning the development of operations, improved skills on experimental planning and interpretation on experimental results. Consecutive indirect effects are time and costs savings during implementation of hydrometallurgical R&D projects and new technologies.
Course content
The course starts with a webinar that serves as an introduction to the topic: an example case of industrial scale simulation model showing what are the benefits of building a simulation model, how such model can be built, how reliability can be studied. After the introduction webinar participants have the opportunity to study background material and to give feedback before the 2-3 day face-to-face training period is organized. Face-to-face training includes lectures and open discussion in-group as well as demonstration of modeling cases. Experiences and feedback from face-to-face training are collected and afterwards on-line session will be organized where open issues and possible further question can be presented.
Type of training
The course is combining classroom lectures, e-learning, computer-based work and self study.
Objective and outcome
The foreseen learning outcomes are improved understanding and skills on how modelling and simulation can be used as a tool in process and plant optimization tasks, how models are built, reliability analysis of models and benefits of modelling and simulation in terms of e.g. savings in time and costs and reliability of laboratory data.
Language
English