We can answer this question with a fatigue strength analysis for complete plants or individual components. The basis of the fatigue strength assessment is a stress analysis of the plant in question using the Finite Element Method (FEM). The construction of a realistic FEM model is carried out on the basis of production drawings or a three-dimensional CAD model. Interactions between the individual parts, such as possible relative movements and bolt pre-stressing, are taken into account. Together with our customers, we define the load situation or record it on site using strain measurements. The stresses are then calculated, which in turn are used to evaluate the fatigue strength, e.g. according to the guidelines of the Forschungskuratorium Maschinenbau (FKM)
We measure the loads on machinery and tools under production conditions and over the course of any desired period of time. Our results provide insight into manufacturing processes and machine safety and reliability. Moreover, they serve to establish boundary conditions for complex finite element analyses (FEM).
Our range of measurements includes stresses and strains, forces and torques, temperatures and pressures, displacements, velocities and accelerations. We develop load cells for special applications.
We analyse the data or embed them in your data acquisition system (iba, etc).
Machinery, parts or tools sometimes lack of relevant drawings or CAD files. With our portable 3D laser scanner, we measure your tools and components and obtain digital models of your equipment with a precision of 0.03 mm. This rapidly enables us to prepare CAD models for FEM simulations to analyze the stresses and strains in your tools. As a result, you get to know if your machinery sustain the applied loads.
Production operations generate and store vast quantities of data of all kinds: Machinery, production, process, maintenance and quality data. The flood of data concerning countless parameters never ceases to grow.
We are experts in the use of professional statistical software to identify patterns and interrelationships from large quantities of complex data. With data mining and process analysis, we transform raw data into useful knowledge.
We rely on modern methods like artificial intelligence (AI), deep learning and neural networks in our everyday experience!