The benefits of 4D balancing:
Great amount of valuable information in comparison with known methods by considering the phase of signal between channels – the measuring axes. Our method is based on measurements of the real oscillation vector at every point in time at a real physical point on the surface of an object.
Energy estimation of the system's oscillations. Since we are measuring the 3D vector, we can measure and evaluate the energy of the system's oscillations, which is a prerequisite for high-quality balancing. The method allows us to perform quality control of standard one-dimensional balancing. Our experiments showed that the total energy of the system after one-dimensional balancing can be reduced by using the balancing on vibration changes along other directions. We have proposed a way of three-dimensional balancing based on reducing the real 3D unbalance vector and not its one-dimensional projection, as it is implemented in standard systems that use a single-component vibration sensor.
Two sensors - three modes. While the soft rotors are spinning, volume oscillations of a certain form occur and they correspond to the form of modes, which are detected by our sensors. This information allows us to balance the soft rotor with one or three modes for the same number of iterations as the hard one; i.e. our method is a multipurpose method for the dynamic balancing of all types of rotors.
Reducing axial vibration. During the calculation of the balancing weights we reduce all 3 components of vibration including axial vibration, because our balancing method is based on measuring the three-dimensional vector. This is proven by our experiments.
Evaluation and reduction of MISMATCHED oscillations on X and Y. Our experiments have shown that the unbalance vector projection on the balance planes has unequal components. By default, when balancing using the single-component sensor, it is considered that these projections are equal to each other. This requires additional launches during balancing, which consume time, resources and materials. Our method primarily considers this fact, allowing us to perform balancing without an additional adjustment of results.
Reducing the number of weights and their masses. It is worth noting that performing additional iterations during balancing leads to an increased number of balancing weights, resulting in an increase of their combined mass, and therefore an unreasonable increase of the balanced system.