Our belief is that research and deeper understanding are important pieces when developing and designing new products or processes. The scientists at Wendelsbergs beräkningskemi have a long experience of contributing to research and development for companies in for instance chemical industry.
Your company may already have a big research staff with a need of additional scientists ‒ we are happy to assist you with our knowledge in science and mathematical modelling. Your company may lack research staff ‒ we are happy to be your research staff. Projects may be long or short and customers may be located close to us or world wide ‒ we are happy to add to your research.
Our research is mainly within chemistry, chemical engineering, physics and materials science. Our knowledge in physical chemistry and molecular physics we use for understanding for instance chemical mechanisms and processes on a deep level. The understanding is converted into a mathematical model and simulation programs describing the mechanism and process.
A normal project starts with a feasibility study. Wendelsbergs beräkningskemi, sometimes in collaboration with the customer, make a preliminary investigation of the issue. As a result, a proposal for a research project is presented.
In the next part, the modelling, the mechanism or process is studied in more detail. What is important physics and chemistry and what can be neglected? When important details have been extracted, they are converted into mathematics.
The emerged mathematical model is then often implemented as a simulation program. From simulations, vital information and understanding are obtained.
After finalization of the research project we of course offer further scientific support and technical support.
Experiments and Simulations ‒ a way of working
Experiments give ideas for modelling and simulations. And simulations give ideas for new experiments. For customers we have successfully used the way of working where experiments and simulations go hand in hand. The experiments lead to the construction of a simulation program. The results from the simulation program are then compared (validated) with experimental data. Poor agreement tells us that our model has to be improved. Good agreement indicates that we have a good understanding of the mechanisms in the experiment.
When a good simulation program has been developed, it can be used to guide the experimentalists in the design of new experiments. The simulation program can also give ideas for new experiments.