Early phase analyses


The dynamic toolbox allows us to model dynamic behaviour early in the design process, using software models that are continuously validated against measurements on actual hardware. As a result, we can predict 80–90% of the key contributors to dynamic behaviour long before detailed engineering begins, enabling smarter architectural decisions, fewer redesign loops and shorter lead times.

Total machine greyed out including machine submodels copy

The machine definition/concept converts into a machine model, divided in sub-modules.

Two conventional design approaches, one smart solution

Machine model - Rigid Body Modeling

High level estimates for all sub-modules

Rigid Body Modeling

In conventional machine design, two approaches are commonly used. The first relies on rigid body modelling, which is fast and efficient in the early phases but carries a significant risk: dynamic effects and structural flexibility are often underestimated, leading to costly corrections during the build and commissioning phases. As a result, total project time and cost frequently exceed initial expectations.

Machine model - Full FEM Analyses

Detailed FEM analyses for all sub-modules

Full FEM analyses

The second conventional approach uses full Finite Element Method (FEM) analyses, offering high detail and low technical risk, but at the expense of long design cycles and substantial effort early on. This method can also create overreliance on local accuracy, while system-level behaviour receives less attention.

Machine model - Dynamic Toolbox

FEM, combined with RBM to model full system

Dynamics Toolbox method

The new Dynamics Toolbox method bridges these extremes by combining speed with insight: it allows fast system-level modelling where possible, adds detailed flexibility only where needed and keeps a full-system model available throughout the process, resulting in the lowest overall lead time and total cost.

Reducing early-phase risk using smart analyses


Our method combines practical measurement insights with efficient modelling techniques such as rigid body and flex body analysis, targeted FEM modelling of only the relevant elements and on-site quantification of external disturbances. Because we know from experience what truly influences machine behaviour, we avoid unnecessary complexity and focus on what delivers the highest impact. This approach ensures that our predictions are not only accurate but also cost-effective, reducing the overall cost of precision. 

 

 

MF - Rigid Body Method

 

 

 

 

MF - FEM combined with RBM-1

 

Validated software and hardware approach


The IBS Dynamics Toolbox combines software and hardware tools into one validated and practice-proven approach. On the software side, the toolbox includes the FLEX Body Builder, which connects detailed local FEM analyses with full-system rigid body models to efficiently capture the most relevant dynamic contributions.

On the hardware side, the toolbox supports system-level dynamics analyses, including floor vibration measurements and root-cause investigations of unexpected machine behaviour. Both the software and hardware components have been developed, validated and proven in real engineering projects and on machines built by IBS.

Dynamics toolbox - soft- and hardware

Software and hardware tools are validated and proven in practice

Dynamics expertise for new and existing machines


We apply our Dynamics capability both to new machine development and to customers who need support with dynamic issues in existing systems. For new builds, our dynamics knowledge helps us determine the most effective architecture early in the project. For existing machines, we use the same toolbox to analyse performance, measure external disturbance, identify the true sources of dynamic problems and help to address these problems.

Our dynamics capability is integrated deeply into our engineering services. It enhances the quality, speed and predictability of our development projects and offers our customers a reliable, proven way to understand and improve dynamic behaviour in their systems.


Contact us if you have a dynamics challenge to solve!