Projects / Programmes
January 1, 2009
- December 31, 2014
| Code |
Science |
Field |
Subfield |
| 2.11.00 |
Engineering sciences and technologies |
Mechanical design |
|
| Code |
Science |
Field |
| T120 |
Technological sciences |
Systems engineering, computer technology |
| Code |
Science |
Field |
| 2.11 |
Engineering and Technology |
Other engineering and technologies |
Operation state prediction, RMS quantities, operational state modelling and simulation
Researchers (26)
Organisations (2)
Abstract
The efficiency of a component, assembly or final product producer primarily depends on its ability to persuade the customer of the product quality. The producer has to carry out the development procedure of a new product in such a way that it is able to economically predict with low risk and in early design stages a part or all of 45 quantities, characteristics, properties of the product in its usage phase (e.g. functionality, durability, reliability, maintainability, supportability, ergonomics, ecological worth, aesthetic value, production and usage economy).
The development prediction of the product properties, characteristics or product worth in the usage phase are based on the theoretical knowledge in the fields, such as: probability, operational state prediction in extreme environmental conditions (temperature), modelling of alike states (parametric, nonparametric), modelling of the material mechanical properties, modelling of states in virtual environment, reliability (R), maintainability (M) and supportability (S) modelling, simulations of boundary operational states, experimental techniques. In recent research of the programme group the topics where basic knowledge has to be broadened have been defined:
- operating states and their scatter modelling by applying mixture probability functions;
- modelling of the random loads and operational states by neural networks;
- durability modelling at variable and complex operating conditions and material properties;
- modelling of the target operating properties on the basis of the starting material and technological values;
- research of the domain of usability of the RMS values in the development procedures;
- development of methods for service life prediction of low and high cycle loaded products operating at variable and high temperatures;
- effectiveness of experimental techniques in development procedures;
- development reliability and maintainability prediction of complex and assembled products;
- research of production procedures and their influence upon the development solutions of products and technologies (wood machines, transport devices);
- research of dynamic phenomena on machines (transport devices, wood machines) on product quality or production technology;
- research of mechanic properties and development solutions of designs with new materials.
The aims of the connected research work within the programme group and in connection with other programme groups are as follows:
- to supplement the basic knowledge in the field of the development prediction in such a way that it will be possible to assemble and to introduce the improved development technology in the working organisations;
- to enable the efficiency and good competitive position of the working organisations by applying this knowledge in the key development process phases;
- to qualify the new engineers for leading positions and for engineering positions in the industry through undergraduate and postgraduate studies.
Significance for science
The most important achievements of the programme group Development Evaluations can be in the period from 2009 to 2014 summarised as: - The algorithm to estimate the parameters and weights of finite mixture distributions has been updated and improved. It now includes normal, log-normal, Weibull, gamma, Poisson, binomial and Dirack parametric families. A programme code has been designed in programming languages C and R, it is published on http://cran.r-project.org/web/packages/rebmix/index.html and allows easy use and simple maintenance and upgrading for the developers. - An algorithm has been developed to predict the stress-strain states and lifetimes in terms of thermo-mechanical fatigue in the time domain. The algorithm is based on Prandtl operators and takes into account elasticity, plasticity, viscosity, fatigue, creep and oxidation of the material. The algorithm is available as Thermal Fatigue option of the software manufacturer Siemens http://www.plm.automation.siemens.com/en_us/products/lms/virtual-lab/durability/options.shtml. - New knowledge in understanding stress-strain states and lifetimes of air springs and rubber has been developed and published. - New knowledge in understanding the thermo-mechanical fatigue in the frequency domain has been developed and published. - New knowledge in understanding the aging of metallic materials with and without the presence of welded joints has been developed and published. - New knowledge in understanding the fatigue of aluminium castings with errors and without them has been developed and published. - New knowledge in understanding the fatigue of hybrid metallic and non-metallic materials has been developed and published. - New knowledge in understanding the behaviour of materials and components for mechanical loads that result in high strain rates has been developed and published. - Descriptions of durability curves and their spread have been amended and improved with methods of artificial intelligence and evolutionary algorithms. - Developed and applied was new knowledge in the field of autonomous self moving systems for multi-purpose manipulation and processing of products. - New knowledge in the field of modeling of wooden construction composites was developed. - New knowledge in the field of chip formation process in the cutting of lignocellulosic composites was developed. - New knowledge in the field of evaluation of load capacity of lignocellulosic composites packaging was developed.
Significance for the country
The most important achievements of the programme group Development Evaluations can be in the period from 2009 to 2014 summarised as: - Our knowledge in the course of Machine Elements 1, 2 and 3, Operational strength, Development Evaluations, Effectiveness of systems, Effectiveness of products, Vehicle dynamics, Transmissions of vehicles, Machinery elements and drive technique, Mechanical processing technologies automation, Wood mechanical processing machinery has been transferred to students of the I. and the II. degree and to doctoral students. - We have been mentors to 93 new graduates, 9 masters and 10 doctors of science. - We helped the following companies based in Slovenia with our knowledge when solving R & D problems: Cimos, Hella Saturnus Slovenija, TPV, Knauf Insulation, Sistemska Tehnika, Continental, SIP Šempeter, BSH HIŠNI APARATI, Žičnice Vogel Bohinj, M Sora.
Most important scientific results
Annual report
2009,
2010,
2011,
2012,
2013,
final report,
complete report on dLib.si
Most important socioeconomically and culturally relevant results
Annual report
2009,
2010,
2011,
2012,
2013,
final report,
complete report on dLib.si
