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Obtaining statistical data

Projects / Programmes source: ARIS

Technological systems for smart manufacturing

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Periods
January 1, 2020 - December 31, 2027
Research activity

Code Science Field Subfield
2.10.00  Engineering sciences and technologies  Manufacturing technologies and systems   

Code Science Field
T000  Technological sciences   

Code Science Field
2.03  Engineering and Technology  Mechanical engineering 
Keywords
Technological systems, smart manufacturing, machining systems, forming systems, additive manufacturing, robotization, multilayer materials, metal foams, storage and order-picking systems, manikins, hydraulic drive systems, modelling, optimization, Machine Learning, Machine Vision
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
8,397.45
A''
497.77
A'
1,481.6
A1/2
3,387.27
CI10
4,695
CImax
108
h10
37
A1
25.95
A3
6.07
Data for the last 5 years (citations for the last 10 years) on April 26, 2024; A3 for period 2018-2022
Data for ARIS tenders ( 04.04.2019 – Programme tender , archive )
Citations Citations for bibliographic records in COBIB.SI that are linked to records in citation databases
source: WoS source: Scopus source: COBISS
Database Linked records Citations Pure citations Average pure citations
WoS  311  4,606  4,097  13.17 
Scopus  419  6,110  5,465  13.04 
Researchers (23)
no. Code Name and surname Research area Role Period No. of publications
1.  53593  Primož Bencak  Administrative and organisational sciences  Junior researcher  2022 - 2024  30 
2.  50636  PhD Lucijano Berus  Manufacturing technologies and systems  Researcher  2020 - 2024  25 
3.  26248  PhD Tomaž Brajlih  Manufacturing technologies and systems  Researcher  2020 - 2024  203 
4.  12657  PhD Miran Brezočnik  Manufacturing technologies and systems  Researcher  2020 - 2024  516 
5.  11943  PhD Igor Drstvenšek  Manufacturing technologies and systems  Researcher  2020 - 2024  549 
6.  20231  PhD Mirko Ficko  Manufacturing technologies and systems  Head  2020 - 2024  344 
7.  54800  Samo Goljat  Computer science and informatics  Junior researcher  2020 - 2021  5 
8.  36932  PhD Janez Gotlih  Manufacturing technologies and systems  Researcher  2020 - 2024  71 
9.  04965  PhD Karl Gotlih  Manufacturing technologies and systems  Retired researcher  2020 - 2023  784 
10.  37695  PhD Timi Karner  Mechanics  Researcher  2020 - 2024  176 
11.  29571  PhD Simon Klančnik  Manufacturing technologies and systems  Researcher  2020 - 2024  220 
12.  38220  PhD Urška Kostevšek Šegula  Manufacturing technologies and systems  Junior researcher  2020  23 
13.  21379  PhD Tone Lerher  Mechanical design  Researcher  2020 - 2024  623 
14.  08483  PhD Darko Lovrec  Systems and cybernetics  Researcher  2020 - 2024  545 
15.  55913  Goran Munđar  Manufacturing technologies and systems  Junior researcher  2021 - 2024  26 
16.  04169  PhD Ivan Pahole  Manufacturing technologies and systems  Retired researcher  2020 - 2021  592 
17.  51004  PhD Tadej Peršak  Manufacturing technologies and systems  Junior researcher  2020 - 2024  35 
18.  53999  Dušan Raner    Technical associate  2020 - 2024  0 
19.  36531  Boštjan Razboršek    Technical associate  2020 - 2023  31 
20.  58042  Kristijan Šket  Manufacturing technologies and systems  Junior researcher  2023 - 2024  3 
21.  36088  PhD Vito Tič  Systems and cybernetics  Researcher  2020 - 2024  266 
22.  18692  PhD Daniela Zavec  Textile and leather  Researcher  2020 - 2021  238 
23.  20232  PhD Uroš Župerl  Manufacturing technologies and systems  Researcher  2020 - 2024  545 
Organisations (1)
no. Code Research organisation City Registration number No. of publications
1.  0795  University ob Maribor, Faculty of mechanical engineering  Maribor  5089638010  23,917 
Abstract
The Research Programme will be conducted in the field of Manufacturing Systems and Technologies. Our work will be predominantly interdisciplinary. The proposed scientific-research activity of the Programme Group fits perfectly in line with the smart specialization strategy. The main pillars of our work will be the development of technological systems for smart manufacturing, i.e. »Industry 4.0«. In order to achieve our goals, our research will frequently include the use of Artificial Intelligence methods, mostly Machine Learning and Deep Learning. Therefore, processing of the vast amounts of data will be possible, as well as modelling and optimization of various technological systems, evaluation of the numerous production scenarios, Machine Vision based product/component analysis, intelligent robot systems design and manufacturing supervision. Part of the research will be dedicated to machining of modern engineering materials and Additive Manufacturing technologies. The majority of our research will have direct usefulness in an industrial environment. The Research Programme includes the following points: Technological process optimization: This encapsulates the continuous casting process, rolling, steel machinability testing, cutting and additive processes. Development and use of separation and sorting systems: A Machine Vision aided system will be developed for separation. Design of large manufacturing systems without predetermined topography: The subject of research will be the design of contemporary production systems with numerous components, with automatic transport and simultaneous human presence. Development of new technological procedures for multilayer material and metal foam machining: Through the research, we will achieve a higher degree of usefulness of modern engineering materials. Development of 3D design systems and production of patient-specific medical accessories made by additive manufacturing. Aid to the spotting process for deep drawing: A Machine Vision system will increase the efficiency and repeatability of the procedure. A support system for acoustic-based straightening of a hardened steel workpiece. Robot processing precision estimation and optimization of the workpiece placement into a robot's workspace. Development of advanced heat manikins: Through the research, we will develop a manikin, which will also include a perspiration simulation. The integration of storage and order-picking systems, using collaborative robots (cobots): Research will enable computer-aided selection of modern transport-storage systems. Research of control and monitoring concepts of hydraulic drive systems with conventional and alternative hydraulic fluids (e.g. ionic liquids). As stated in the attached Programme, we will interconnect different fields, especially modern manufacturing technologies and systems, production cybernetics, advanced informational and computer technology and the latest Machine Learning methods.
Significance for science
The planned research work of the Programme Group is is aimed at achieving internationally comparable research results that follow global trends. Scientifically, the proposed research is up-to-date, as it will combine state-of-the-art production technologies and current research methods. The Research Programme is also scientifically excellent from the methodological point of view, as it involves the study of technological systems and processes with Artificial Intelligence methods, which will be developed and researched for the needs of our Research Group. In the last period of the Research Programme, Machine Vision was included in the modelling and optimization of technological systems. As this is most often the case for complex combinatorial and multi-objective problems, we will develop and apply methods of Machine Learning, especially Deep Learning, to solve these problems. The results of the Research Programme will contribute to the progress of science in the field of Machine Learning, including Machine Vision, for the development of advanced technology systems and processes. This area of research is developing rapidly in the perspective of Industry 4.0. With the interdisciplinary interlace of the scientific field, modern Information Technology and Computer Science, we will offer original solutions that have not yet been addressed in the proposed way. In the remaining research of our Research Programme, the development and upgrade of existing technology will be carried out, along with processing of new materials. For both types of research, we will achieve with the help of existing Artificial Intelligence technology and methods, some important breakthrough research achievements. In our research we go for practically full compliance with the EU development goals, namely for the smart specialization strategy, with the focus areas of the smart factory, smart materials and technologies. Most proposed research areas are related to practical problems that are solved scientifically. By solving the real problem in practice, we will develop an original solution as a scientific achievement, which will be published in distinguished international scientific journals or conferences. Among the proposed research areas such results can be expected in the optimization of technological systems, in the design of large production systems, in the research of mechanical processing of multilayer and foam materials, in the development of the integration model of transport and warehousing systems using collaborative robots, and in the development of solutions with a combination of Machine Vision and Deep Learning. The technology development of processing multilayer and foam metal materials, is a relatively weakly studied research field, where we can reasonably expect the originality of our research findings.
Significance for the country
The content of the work of the Programme Group is focused on the development of new production technologies and systems in accordance with the contemporary challenges dictated by the IOT concept, or the concept of the fourth industrial revolution. In the light of professional development in the field of work of the Programme Group, and in accordance with the development guidelines of society as a whole, it is necessary to take into account and highlight the effects of the research work of the Programme Group on the socio-economic and cultural development of Slovenia.  The influence of the members of the Programme Group on the socio-economic and cultural development of Slovenia is most significant in the following important areas: Human Resources` development. Through the implementation of functional formal and informal forms of education, we extend our expertise, as well as scientific knowledge, and lay the foundations for the development of personnel for deficient professions and professions of the future in Slovenia and throughout the EU, especially in our immediate surroundings. Protection of the natural heritage. The results of some of the proposed studies increase the efficiency of technological processes, or help introduce new processes and materials that enable greater energy and material usage efficiency. It is important to emphasise that the entire concept of research and development work of the members of the Programme Group is subordinate to environmental regulations, which ensures sustainable and ecologically sustainable development of our society. State promotion. Announcement of top achievements of the research team members in foreign scientific journals, scientific meetings, conferences, and integration in International Exchange Programmes represent excellent promotion of Slovene knowledge and of Slovenia in the world. Development of the vocabulary of the Slovenian language. With the development of top science and profession’s the need for introducing new Slovene words, either by translating foreign words or by introducing completely new denominations. In this way, we increase the corpus of Slovene words and enrich Slovene technical terminology, thus helping to understand the demanding scientific knowledge in the native language, and support the publication of articles in domestic magazines and popular scientific publications. Development of Medicine. We expect that the results of the proposed research will increase the use of patient adapted medical devices, especially in more demanding cases. Previous studies have shown that the use of virtual 3D preoperative planning and patient-friendly medical devices shortens the time of demanding invasive interventions, and reduces the risk for both operational and postoperative complications. Health protection. With the development of measuring equipment and test methods for testing functional clothing (from smart materials), we will support the development of equipment for the protection of health and well-being of people in dangerous environments and circumstances outside the strictly technological environment.
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