Development tools, such as dynamic simulation, are widespread in everyday industrial development processes. However, they will only make a useful contribution to development tasks if used effectively. Hydrive Engineering offers its clients simulation services that are based on four factors ensuring their success; outstanding subject knowledge, systematic error analysis, efficient use of tools and practical experience guarantee to produce simulation results that can be quickly and sustainably incorporated into the client’s product development process.
Using dynamic simulation does not make technical questions easier to answer. This is why it is important to have highly trained engineers that are not only comfortable in their own field but also possess extensive, theoretical knowledge. Only then can calculation results be interpreted and critically analysed to provide the correct conclusions. Last but not least, this know-how is important for understanding the application and any questions the client may have.
Error analysis & dynamic simulation
Understanding is the first step to solving a problem. Performing a systematic error analysis highlights any weak points and forms the basis for defining simulation tasks. In addition, holding intensive discussions with the client allows errors to be seen from a different perspective and analysed objectively.
Use of tools
A tool is only as good as the person working with it. First and foremost, this includes frequent and skilled use of the simulation program. Regular training sessions and close contact with tool developers also enable complex simulation tasks to be solved swiftly. However, it is also important to use tools methodically in order to produce quick, useable results, for example for distributing the model correctly or selecting a suitable modelling strategy and detail.
Simulation results are calculated on the basis of theoretical considerations. Tool manufacturers are only able to guarantee their accuracy to a certain extent. Errors in models or parameters may lead to inaccurate results, which, in turn, could produce inaccurate conclusions. That is why it is so important that simulation results are compared against extensive practical experience. This is the only way of quickly identifying modelling errors and putting the acquired knowledge to use.