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Projects / Programmes source: ARIS

Production systems, laser technologies and materials welding

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Periods
January 1, 2022 - December 31, 2027
Research activity

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

Code Science Field
2.03  Engineering and Technology  Mechanical engineering 
Keywords
decentralized management strategies, self-improving through learning, deep learning, advanced surface treatment, laser additive technology, polymer composites, hybrid joints, distributed production systems, opto-mechatronic systems, product-service systems, laser sources, laser measuring systems, laser machining systems, adaptive control, surface finishing, non-destructive testing, surface integrity, weldability of materials, friction stir welding
Evaluation (rules)
source: COBISS
Evaluation of bibliographic research performance indicators according to ARIS methodology
Points
11,571.91
A''
2,503.89
A'
4,791.27
A1/2
7,837.08
CI10
9,283
CImax
326
h10
44
A1
40.95
A3
13.99
Data for the last 5 years (citations for the last 10 years) on April 24, 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  762  10,477  9,069  11.9 
Scopus  908  13,281  11,665  12.85 
Researchers (50)
no. Code Name and surname Research area Role Period No. of publications
1.  32091  PhD Vid Agrež  Technology driven physics  Researcher  2022 - 2023  87 
2.  51907  Martina Benko Loknar  Systems and cybernetics  Researcher  2023  12 
3.  26556  PhD Zoran Bergant  Manufacturing technologies and systems  Researcher  2022 - 2023  105 
4.  20863  PhD Tomaž Berlec  Manufacturing technologies and systems  Researcher  2022 - 2023  351 
5.  18327  PhD Drago Bračun  Manufacturing technologies and systems  Researcher  2022 - 2023  237 
6.  06765  PhD Peter Butala  Manufacturing technologies and systems  Retired researcher  2022 - 2023  577 
7.  37400  PhD Marko Corn  Manufacturing technologies and systems  Researcher  2022 - 2023  35 
8.  38760  PhD Luka Černe  Manufacturing technologies and systems  Researcher  2022 - 2023  19 
9.  04107  PhD Janez Diaci  Manufacturing technologies and systems  Researcher  2022 - 2023  363 
10.  03551  PhD Janez Grum  Manufacturing technologies and systems  Retired researcher  2022 - 2023  2,269 
11.  58249  Gašper Hribar  Manufacturing technologies and systems  Researcher  2023  0 
12.  56851  Mirza Imširović  Manufacturing technologies and systems  Junior researcher  2022 - 2023  0 
13.  56850  Miha Jelenčič  Manufacturing technologies and systems  Junior researcher  2022 - 2023  3 
14.  05637  PhD Marjan Jenko  Electronic components and technologies  Researcher  2022 - 2023  157 
15.  23778  PhD Tomaž Kek  Manufacturing technologies and systems  Researcher  2022 - 2023  157 
16.  20441  PhD Damjan Klobčar  Mechanical design  Researcher  2022 - 2023  565 
17.  52343  Jernej Jan Kočica  Manufacturing technologies and systems  Technical associate  2022 - 2023  20 
18.  11624  PhD Borut Kosec  Materials science and technology  Researcher  2022 - 2023  978 
19.  53118  Nejc Kozamernik  Manufacturing technologies and systems  Researcher  2022 - 2023  8 
20.  38151  PhD Dominik Kozjek  Manufacturing technologies and systems  Researcher  2022 - 2023  39 
21.  18702  Vane Kralj    Technical associate  2023  0 
22.  05571  PhD Janez Kušar  Manufacturing technologies and systems  Researcher  2022 - 2023  623 
23.  37513  PhD Žiga Lokar  Manufacturing technologies and systems  Researcher  2022 - 2023  37 
24.  50105  Andreja Malus  Manufacturing technologies and systems  Researcher  2023  15 
25.  54774  Matevž Marš  Manufacturing technologies and systems  Junior researcher  2022 - 2023  8 
26.  37988  PhD Bor Mojškerc  Manufacturing technologies and systems  Researcher  2022 - 2023  28 
27.  37953  PhD Jaka Mur  Manufacturing technologies and systems  Researcher  2022 - 2023  52 
28.  36989  Uroš Orthaber  Technology driven physics  Researcher  2022 - 2023  12 
29.  35427  PhD Jaka Petelin  Physics  Researcher  2022 - 2023  54 
30.  15646  PhD Rok Petkovšek  Manufacturing technologies and systems  Head  2022 - 2024  273 
31.  55736  Jan Pleterski  Systems and cybernetics  Junior researcher  2022 - 2023  3 
32.  28609  PhD Matej Pleterski  Materials science and technology  Researcher  2023  70 
33.  12752  PhD Boštjan Podobnik  Physics  Researcher  2022 - 2024  62 
34.  17059  PhD Primož Podržaj  Systems and cybernetics  Researcher  2022 - 2023  201 
35.  27988  PhD Tomaž Požrl  Manufacturing technologies and systems  Researcher  2022 - 2023  36 
36.  55743  Jernej Puc  Manufacturing technologies and systems  Junior researcher  2022 - 2023  9 
37.  32078  PhD Dunja Ravnikar  Manufacturing technologies and systems  Researcher  2022 - 2023  21 
38.  26144  PhD Lidija Rihar  Manufacturing technologies and systems  Researcher  2022 - 2023  171 
39.  51897  PhD Nejc Rožman  Manufacturing technologies and systems  Researcher  2022 - 2023  19 
40.  32082  PhD Luka Selak  Manufacturing technologies and systems  Researcher  2022 - 2023  50 
41.  53506  PhD Aljaž Ščetinec  Manufacturing technologies and systems  Researcher  2022 - 2023  32 
42.  33467  PhD Gašper Škulj  Manufacturing technologies and systems  Researcher  2022 - 2023  52 
43.  54778  Jan Šmalc  Manufacturing technologies and systems  Junior researcher  2022 - 2023  0 
44.  13026  PhD Roman Šturm  Manufacturing technologies and systems  Researcher  2022 - 2023  329 
45.  28906  PhD Uroš Trdan  Manufacturing technologies and systems  Researcher  2022 - 2023  141 
46.  02045  PhD Janez Tušek  Mechanical design  Retired researcher  2022 - 2023  1,116 
47.  30914  PhD Rok Vrabič  Manufacturing technologies and systems  Researcher  2022 - 2023  247 
48.  27630  PhD Uroš Zupanc  Manufacturing technologies and systems  Researcher  2022 - 2024  33 
49.  30568  PhD Sebastjan Žagar  Manufacturing technologies and systems  Researcher  2022 - 2023  45 
50.  50587  PhD Tena Žužek  Manufacturing technologies and systems  Researcher  2023  28 
Organisations (3)
no. Code Research organisation City Registration number No. of publications
1.  0782  University of Ljubljana, Faculty of Mechanical Engineering  Ljubljana  1627031  29,223 
2.  0209  Welding Institute  Ljubljana  5051398000  1,335 
3.  7741  LPKF LASER & ELECTRONICS d.o.o. (Slovene)  Naklo  5711096  314 
Abstract
The programme group's work is organized within three key enabling technologies (KETs), covered by the interdisciplinary team of participating researchers. Within KET Digitalization, artificial intelligence, and robotics in production systems, research of digital technologies will be performed, enabling new, decentralized management strategies, such as Shared Manufacturing (SM). The focus will be on the development of multi-agent distributed control systems and improving the overall efficiency, robustness, and security of manufacturing systems through the SM paradigm. New quality management systems are required due to the increasing complexity of the global business environment and the emergence of new digital technologies. By leveraging big data analytics, smart sensors, computer vision, and artificial intelligence, a predictive quality management can be applied to manufacturing organizations to perform root-cause analysis, big data monitoring and analytics. We will address the topic of increased human-machine interaction by developing methods and interfaces supporting smart robotic and cyber-physical systems. Within KET Laser systems and photonics the objective of the program is to research advanced approaches to fiber-based and hybrid laser sources appropriate for ultra-high-speed precision processing and advanced detection. A concept of multichannel fiber laser will be investigated to introduce new approach in the processing with ultrashort laser to increase the efficiency beyond state of the art by using multibeam systems. For nonlinear processing, a high-speed burst laser source will be investigated together with its application and beam steering with the goal to reach high speed processing and nanometer-scale resolution. For laser-based processing in liquid media, the effects of shockwaves and cavitation will be investigated, pushing the resolution of observation below micrometer. For this a specialized laser-based detection method will have to be developed for speckle free ps illuminating pulses. All the proposed research represents a significant push beyond state of the arts in the specific field of laser systems. Within KET Additive technologies, surface treatment, and joining, investigation of the effects of new surface layer modification technologies with respect to residual stresses, hardness, strength, corrosion resistance will be performed. Research will be performed on production of hybrid composite joints, in-situ determination of mechanical properties using non-destructive monitoring of the surface modification processes, and non-destructive determination of hybrid adhesive joint properties. The objective will be to investigate physical and metallurgical background to improve the joining of difficult to weld materials to in-situ produce products with advanced material properties (FGM’s, MMC) and to prolong the products lifetime by refurbishment in line with circular economy, sustainable development, and health.
Significance for science
Scientific research on KET Additive technologies, surface treatment, joining will enable state of the art research on additive manufacturing of advanced materials (FGM’s, CCM’s), and joining technologies with the goal of increasing the knowledge about the process and enabling shorter production times, lower consumption of CRM’s, energy, and lower pollution. The research of advanced modern surface treatment technologies, such as laser shock peening or cavitation peening with the emphasis on the peening of difficult-to-weld light aircraft alloys (Al, Mg) are deemed highly interesting in the field from scientific and application view. The research will contribute to the knowledge on laser additive technology of bio-compatible products made of stainless steel and titanium alloys, improving vacuum infusion technology, and autoclaving composite products. Further, a positive impact to the mechanical engineering profession in Slovenia is seen in development of hybrid joints of composite with aluminum, with / without pin. Cooperation with an international institution in connection with the aviation industry will open new access to foreign knowledge and development opportunities for our own staff. New non-destructive AE methods for laser remelting / welding process control will be developed, as well as for testing of polymer composites and hybrid joints. Within the Laser systems and photonics research of advanced approaches to fiber-based laser sources, a multi-beam laser concept represents a new approach to push ultrashort pulse (USP) laser power scaling to new limits while maintaining compactness and flexibility (pulse on demand), typically only achieved in low power lasers. It opens a possibility for highly customized production technology based on high precision, high-speed laser concepts. The research conducted on purpose-developed high intra-burst repetition rate and pulse on demand USP fiber laser and acousto-optic deflector-based scanning system for ultra-high precision processing and two-photon photolithography will result in a completely new concept of fast nano-processing representing new tool for scientific work in this field, enabling original and breakthrough research work. The proposed illumination and detection system is in itself an important breakthrough from a scientific point of view that will enable new measurements not possible with existing state-of-the-art devices and setups. The main goal of this system is to enable and/or improve our understanding of basic physical mechanisms (some phenomena related to cavitation, shockwaves, etc.) important for laser processing technologies in industrial uses as well other fields (medicine and biotechnology). Within the Digitalization, artificial intelligence, robotics in production systems, research of digital technologies will be performed, enabling new, decentralized management strategies, such as Shared Manufacturing (SM). In the context of shared manufacturing, the research will contribute with the knowledge on how to build systems that enable mass production of customer-tailored products, cost optimization, overall efficiency improvement, robustness, and safety of production systems. The research on the distributed nature of the concept will enable a democratic and secure environment for inclusion of local small and medium enterprises. This has a direct benefit for the development of profession as it will result in a reduced environmental footprint and an increased use of locally available production resources, while improving manufacturing sustainability. Within the field, the contribution will be development of explainable and trustworthy AI systems which will focus on self-improving through learning and on providing safe and intuitive interfaces for human interaction in real-life manufacturing and robotic applications. Further, the research will contribute to the development of new techniques and applications using deep learning. Deep learning has transformed computer vision applications that once required expertise in image processing into technical challenges that can be solved by non-image processing experts. This opens a new set of possibilities to solve problems that have never been attempted without a human. In this way, the technological boundaries of what a computer and a camera can accurately inspect are being pushed beyond the current state of the art. Development of products and services in industrial and medical applications is expected.
Significance for the country
Potential impact on economic development Research of the sustainable management of green and leagile production and manufacturing systems will be designed in tight collaboration with industrial partners to ensure direct applicability. The research of concurrent development models for a sustainable green leagile production system and process will enable companies to achieve an optimal balance between the value of investment and added value, directly applied when building a production system, and to minimize the overall impact on the environment. Due to close cooperation with the industrial partners we expect the following effects of the program: • The transfer of knowledge from public research organizations to companies will be further improved, which will have a direct impact on the local economy by strengthening the competitiveness of companies and their growth through the innovation development that follows the requirements and needs of the European and global markets. To achieve this, we will build on decentralized management strategies, self-improving through learning, deep learning, advanced surface treatment technologies, laser additive technology of bio-compatible products, polymer composites and hybrid joints, etc. • Using existing knowledge and infrastructure and upgrading them for the needs of the program will make better use of the existing research infrastructure, which will also enable better transfer of developed technologies to companies (directly applicable to tasks involving industrial partners, for example multi-beam laser development, laser shock peening hardening effects, research of nano-processing and two-photon photolithography, etc.). • Slovenian research and development potential will become more internationally competitive, through continued and newly established cooperation with foreign institutions. • An increased transition and cooperation of researchers with the economy, which will enable closer cooperation between the public and private spheres and increase innovation for the economy (joining of dissimilar materials and added value of joining of materials for e-mobility) • Open new opportunities for Slovenia's technological breakthrough in the field of technological products with high added value (based on state-of-the-art detection and monitoring methods (WP3) and with the integration into the production systems to make them easy to use in the industrial environment), which will increase Slovenia's international competitiveness and overall welfare. It is important to note that the program directly connects our research activities with two industrial partners – Welding Institute and LPKF Laser & Electronics d.o.o., the latter being one of the few Slovenian high-tech companies that develops and produces “final” high tech products and consequently generates higher added value, which is the goal of the current smart specialization strategy in Slovenia (related to the European directions towards Industry 4.0). Potential impact on social and cultural development The impact to society will be expressed as the involvement of doctoral and master's students in the program. They will benefit from the cooperation with the world experts in the field and gain experience on how to use the acquired knowledge in actual applications, tightly connected with industry’s needs. Strengthening of the Slovenia’s young professionals pool in the field of laser material processing and production systems is expected. Through the applicative work packages, such as presented in this program, R&D of the companies will be further strengthened, which is of the major importance for the Slovenian industry and consequently for society. It allows for innovative research to be conducted, improving the competitiveness in the modern market, improving the market position, and creating new jobs ensuring the stability of the labor market. The indirect impact of the program for the society will be exhibited through several factors. One of the most important being the maintenance and strengthening of the connection between Slovenian researchers and foreign research institutions with the industry in Slovenia, especially with the photonics industry partners. The program coordinator from the Faculty of Mechanical Engineering will help in forging new cooperation between direct and indirect partners within and beyond the program. During the following funding period, the cooperation and knowledge transfer acquired during the running of the program will help to improve the competitiveness of the industry partners. Creation of new jobs will also have a positive indirect impact on preventing the brain drain out of Slovenia.
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