Projects / Programmes
Numerical and Experimental Analysis of Mechanical Systems
January 1, 2022
- December 31, 2027
| Code |
Science |
Field |
Subfield |
| 2.05.00 |
Engineering sciences and technologies |
Mechanics |
|
| 2.04.00 |
Engineering sciences and technologies |
Materials science and technology |
|
| Code |
Science |
Field |
| 2.03 |
Engineering and Technology |
Mechanical engineering |
| 2.05 |
Engineering and Technology |
Materials engineering |
mechanical properties, fracture mechanics, fatigue, residual stresses, heterogeneous materials, topology optimization, additive manufacturing, FEM, peridynamics, optical fiber sensors, stereo-optical measurements, material degradation, microscopic measurements, continuous deformation tracking.
Data for the last 5 years (citations for the last 10 years) on
September 19, 2024;
A3 for period
2018-2022
| Database |
Linked records |
Citations |
Pure citations |
Average pure citations |
| WoS |
230 |
2,646 |
2,216 |
9.63 |
| Scopus |
268 |
3,135 |
2,677 |
9.99 |
Researchers (10)
Organisations (1)
Abstract
Research activities will be directed towards the development of a system for determination and tracking of state changes emerging on the material surfaces due to dynamic loading; the considered parts will be topologically optimized an produced from materials exhibiting increased resistance to crack initiation and growth. The research related to determination of mechanical and fracture mechanical properties will be mainly conduct on inhomogeneous metal materials, subject to static and dynamic loading. Increased fracture resistance will be achieve by multi-layer coating with materials exhibiting various strengths as well as by local laser treatment in order to generating residual compression stresses. Special attention will be provide to manufacturing of test samples by additive laser metal melting and technology optimization to achieve mechanical and fracture mechanical properties comparable to those obtained by classical technology. Topologically optimized structures of components will enable optimal utilization of material and advanced shaped structural parts with respect to their mass, stress states, and eigenfrequencies. By using numerical simulation of stress-deformation behavior of the components, manufactured from heterogeneous materials, we will analyze local elastic-plastic behavior on the surface and in the interior of the considered material. The numerical models will be modelling by coupling a FEM and peridynamics operators. By introducing peridynamic operators we will be able to analyze loading states, which consist of multi-phase systems, such as microstructural material transformations under the influence of deformations, temperature. The verification of stress-strain behavior of components manufacture from materials with increased fracture resistance, will be done by experimental measurements of the deformation states on the surface of a component. This will include combining of various methods such as stereo-optical digital measurements and Fiber Bragg Grating (FBG) microscopic measurements of the changes of the surface during loading. Algorithms for on-line measurements of degradation process will be develop based on experimental measurements and numerical simulations. Especial attention in research will be provide to determination of accuracy of monitoring system and the degradation of material by the FBG. It is going to provide important contribution to extending the application of artificial intelligence to machines and devices in operation. With the help of developed algorithms and computer processing, it is possible to mark degradation and destructive processes in materials with timely and accurate. This will make it possible to assess the remaining load capacity and service life of the critical component at the critical location at any time. Thus, the direct importance of the research program is reflected in the future development of new intelligent machines and devices of Industry 4.0 and 5.0 in various fields of industry.
Significance for science
The research within the program is primarily intended for the basic investigation of the deformation response of heterogeneous materials at the microscopic level at different levels of dynamic cyclic loads. They are intended to determine the change in the state of the surface and the properties of the material due to the load on the basis of non-destructive and destructive measurements. These changes in the state of the material are based on the swollen quasi-stable state, which changes under time under the influence of external loads due to cyclic loading. The development of a measuring system for marking changes in the state of the surface is of key importance, as only such a measuring system can be used on a structural component during operation. By developing and using periodically strength-heterogeneous materials, it is possible to increase the strength and load-bearing capacity of the component, as each transmission of deformations through strength-heterogeneous regions contributes to redistribution of energy transfer to a larger volume and thus reduces the driving force of crack development. The establishment of numerical algorithms for degradation processes with the help of peridynamic tools represents a novelty in the field of numerical mechanics as well as in the field of introduction of mathematical operators for reversible processes. Linking the microstructural parameters of the material with peridynamic operators will make it possible to assess what the initial state of the material must be in order to still have the required mechanical properties after a certain number of load cycles. The scientific significance is reflected in the development of peridynamic functions for the transfer of the deformation field through heterogeneous materials, as well as the determination of changes in parameters due to changes in the properties and state of the material at different load levels. The development of tools for topological optimization of systems is also an important step towards optimizing the measuring system, because by determining critical points on structures, the overall behavior of the component can be monitored with a minimum number of sensors. For successful further development of technological production with additional technologies, it is necessary not only to characterize mechanical and physical properties to determine optimal technological parameters of production, but also to develop procedures and procedures for thermomechanical processing to improve mechanical properties and reduce tensile residual stresses and provide pressure residual stresses in stress critical areas. components of these materials. The results of this research will enable scientific excellence for both program members and future doctoral students and scientists.
Significance for the country
Research under the program has a wider social significance, as the results can be used in various economic operators engaged in the direct production of materials, components and structures and measuring systems. Knowing the change in the state of the material surface depending on the height and duration of the load is crucial for maintenance and timely action to prevent collapse. At the same time, knowledge of the change in state and deformation response, and thus the degree of degradation of the material, enables more accurate measurements with sensors during the operation of the structure as a mechanical system. For the introduction of new sensor technology within the industry development program 4.0 and later 5.0, it will be possible to define the initial deformation-stress state of the material and record the mechanical response of components exposed to different dynamic and thermal loads. With dynamic recording throughout the entire service life, it is possible to ensure safe operation of the components as well as to define the boundary conditions and the load limit state. Research within the program will enable the implementation of topologically optimized components from technologically high-strength heterogeneous materials with increased resistance to fracture (TLR 1-4) and thus inclusion in research projects under the new work program Horizon 2027, as in the field of process technologies SPIRE 2030 also on Key Enabling Technologies. The characterization of the mechanical properties of materials and components will take place during this time on state-of-the-art research equipment for uniaxial and biaxial static and dynamic testing in the temperature range from -80 to + 350 C. Research within the program will be supported by computer-controlled experiments and capture of results, which allows direct verification of developed models and their transfer to structural components and products. As part of the research, the characterization of mechanical properties under biaxial loads in the phase and outside the phase of cyclic loads will also be performed. Research is also an integral part of the product development cycle, as digital recording will make it possible to create a model using reverse engineering procedures that can be improved by topological optimization. Part of the research is also conceived as an integral part of the development cycle of the model, which can be made with modern additional metal technologies and tested and ensure the marginal conditions of functionality and properties of materials that the product needs to meet. The experimental design is designed to allow quality testing of materials to be performed and the results are forwarded to users for further application for re-computer modeling and optimization until the optimal or required behavior characteristic of the component or product is achieved. We estimate that such a combination of basic development research and applied experimental research will make a key contribution to the development of key technologies in digitalization and industry as well as the introduction of advanced materials in key production technologies. dynamic behavior of materials. This will enable the development of computer-aided digitized systems for marking changes, which can significantly contribute to the spread of artificial intelligence applications to machines and devices, namely in the field of self-adjustment, self-calibration with load sensing and displacements under external workloads. We estimate that the research results will encourage experts from other fields to investigate at the nano levels the mechanisms that lead to changes in the deformation response as well as the properties in the grains and microstructure of the material.
