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dr. Andraž Žertek, Inden d.o.o.
dr. Dušan Božič, Inden d.o.o.

In complex, small-batch production, effective scheduling is crucial for optimizing manufacturing processes. In this paper, we present a case study of implementing the Planska tabla solution in a manufacturing company. Through this implementation, we achieved improved transparency, optimized production planning, and reduced lead times. The solution enables a comprehensive overview of manufacturing processes, facilitates rapid adaptation to changes, and ensures efficient resource utilization. We will present the key challenges the company faced before implementing the solution, the implementation process, and the results achieved.

After 50 years of innovation, ABB has introduced the sixth generation of robot controllers now called OmniCore. The OmniCore controller enables a new innovation, Ultra Accuracy, for collaborative robots GoFa. In addition to achieving excellent position repeatability of 0.02 mm, GoFa Ultra Accuracy now also achieves exceptional path accuracy of 0.03 mm. The broadly designed controller concept also achieves a breakthrough in energy efficiency with a regenerative power supply that returns braking energy back to the grid. Additional energy efficiency is enabled by software for automatic generation of robot trajectories. Trajectories can be generated by the program in advance in simulation (off-line) or directly before movement (on-line).

Matija Zupančič , Art Rebel 9
Marina Panoske, ELVEZ, d.o.o.
Luca Petan, ELVEZ, d.o.o.

The ONBOARD-AI project focuses on developing an agile, digitalized onboarding process for new employees in complex manufacturing systems. It leverages advanced technologies such as Human-Machine Interaction (HMI) and Conversational AI to reduce training time, enhance skill acquisition, and boost productivity. An interactive digital training system will be developed, incorporating visual presentations, video tutorials, and gamified simulations of workplace tasks. Additionally, AI-driven analytics will assess trainee performance in real-time and adapt training content accordingly. The project aims to reduce onboarding time by 30%, increase employee proficiency, and improve training experience. The experiment is beeing conducted at ELVEZ, a company specializing in plastic processing and cable harness manufacturing in cooperation with Art Rebel 9.

David Enci, BSH Hišni aparati d.o.o. Nazarje
Boštjan Zafošnik, BSH Hišni aparati d.o.o. Nazarje

Vinko Drev, LTH Castings d.o.o.

LTH Castings d.o.o. has been successfully expanding its operations for many years, continuously investing in the automation of production processes. Despite the current high level of automation, further investments in this area are essential, as the industry is advancing rapidly and requires constant improvements. Within the Process Automation department, located at the Ljubljana plant, we have implemented and launched the company\'s largest and nearly fully automated production line in recent years. The line includes four robotic cells with eight machining centers and a pallet conveyor system, which ensures the distribution of products from the robotic cells through the washing system to the cleanroom for further processing.

Until a few months ago, the robotic cells were manually supplied using hand-operated forklifts. However, to achieve complete automation, we have introduced supply management using an Automated Guided Vehicle (AGV).

The AGV system enables optimized and automated material transport between the intermediate storage and robotic cells, reducing manual interventions, increasing productivity, and improving workplace safety. Its primary function is to transport designated containers with different product types from storage to robotic cells and return empty containers to their designated positions in storage. This achieves a high level of autonomy and ensures a seamless production process. The complete implementation, along with the key advantages and disadvantages of the system, will be presented in detail in this paper.

Tim Herbertson, Erowa AG
Matic Poberžnik, Hexagon Metrology S.P.A.

QMeasure is a process plugin for CAD software environments. It operates on the principle of an open ecosystem, enabling collaboration with various CAD systems on one side and measurement machines from different manufacturers on the other. In Slovenia, a good example of best practice can be seen at Domel, where the plugin integrates the Catia CAD system and Hexagon’s PC-DMIS measurement software into the production process. The plugin improves zero point offset measurements and in-process measurement.
In preset measurement, it enables the rapid creation of measurement programs using CAD models, reducing preparation time and ensuring precise data transfer. With full integration into ERP, PPS, CAD, and CAM systems, it ensures reliable communication and consistency in production processes. The automated data flow minimizes human errors and optimizes presetting procedures.
For in-process measurement, QMeasure automates quality control during machining. It allows the addition of any number of predefined measurement cycles for checking the accuracy of workpiece and electrode machining, which are used in sinker EDM processes. This is achieved through automatic loading of the measurement program into the CMM and measurement without manual intervention. Deviations are detected immediately, enabling timely corrective actions, reducing waste, and maintaining consistent quality. By incorporating measurement processes into production, we enhance process stability, improve efficiency, and ensure more reliable products. The integration of such processes is essential in smart manufacturing environments, where they enable a seamless transition from presetting to final quality control, optimizing the entire production process.

Jakob Robič, Jakob Robič s.p.
Karsten Kranz, Insourcify Gmbh

In recent years, manufacturing companies have faced increasing pressures—lower product and labor costs, rising energy expenses, and growing bureaucratic burdens. At the same time, competition is intensifying, making business operations even more challenging. At Precisium, we have been dealing with these challenges for an extended period, as we previously specialized in manufacturing control fixtures for major Slovenian companies in the automotive industry. However, due to technological advancements, new dimension verification methods, and the bankruptcy of key clients, we were forced to restructure our program and seek new markets.

As a small company, we had to find cost-effective solutions in digitalization, automation, sales, and internationalization. Key steps included developing an active online presence, launching an e-commerce platform, identifying potential customers through social media and applications, and leveraging the personal approach of our German sales representative, who builds a network of partners and converts warm leads into long-term customers.

Co-author Jakob Robič will present effective strategies for companies establishing an online presence, while Karsten Kranz will share his expertise in acquiring new customers in foreign markets. Together, we will demonstrate how even small businesses can successfully adapt to industry challenges and seize new business opportunities.

Adela Pišmo, Rudolfovo – znanstveno in tehnološko središče Novo mesto
Vesna Pungerčar, Rudolfovo – znanstveno in tehnološko središče Novo mesto
Slavko Arh, Rudolfovo – znanstveno in tehnološko središče Novo mesto

3D scanning is a non-contact technology that enables the conversion of a physical object into a digital model. It is widely used in industry for reverse engineering and quality control, as it allows for verification of product conformity with technical specifications. However, conventional 3D scanning methods have certain limitations – they struggle to detect internal defects such as cracks, inclusions, or material inhomogeneities, which can significantly impact a product’s lifespan.
This study compares three methods for capturing three-dimensional data of an aluminium industrial component: structured light 3D scanning, laser 3D scanning, and industrial computed tomography (CT). While the first two methods primarily capture external geometric features, CT scanning is a non-destructive technology that provides insight into the internal structure of the material. This allows for the detection of hidden defects and the assessment of structural integrity of the product. The aim of this research is to compare these techniques in terms of measurement accuracy relative to the CAD model, as well as the quantity and quality of the data they provide. The results indicate that combining optical 3D scanning and CT analysis enables a more comprehensive quality control approach, which is crucial for ensuring the reliability and longevity of industrial products.

Primož Poredoš, Univerza v Ljubljani, Fakulteta za strojništvo
Dominik Kozjek, Univerza v Ljubljani, Fakulteta za strojništvo
Aleš Gosar, Univerza v Ljubljani, Fakulteta za strojništvo
Marko Nagode, Univerza v Ljubljani, Fakulteta za strojništvo
Jernej Klemenc, Univerza v Ljubljani, Fakulteta za strojništvo

Automation of a process requires precise knowledge of the influential factors involved. One option for sustainable cultivation of agricultural land within the framework of green urban communities of the future is possible by using an automated fleet of cultivating robots. These would optimally care for the allocated plot of land depending on the available solar energy source. Since the source of available energy changes with the change of seasons, several factors must be considered when designing and developing the size of power supply and optimisation algorithms for the operation of an automated fleet of cultivating robots. In this study, the available solar energy in Slovenia in the area around the city of Ljubljana is addressed and the possibility of powering a selected Li-ion battery pack is studied. Specifically, the consequences of the power fluctuation on the availability of the automated fleet of cultivating robots are dealt with. The battery pack under consideration consisted of 7 Li-ion battery cells with a total capacity of 20 Ah and a nominal operating voltage of 24 V. During typical use with power of 100 W, such a battery pack could provide approximately 4 hours of operation for a single robot. It turns out that the selected size of the photovoltaic panels can only charge a single battery pack on a cloudy day in January. However, due to the fluctuations in available solar energy this number can rise to 20 battery packs on a sunny day in January, and to 55 battery packs on a sunny day in June.

Kristijan Šket, Fakulteta za strojništvo
David Potočnik, Fakulteta za strojništvo
Jernej Hernavs, Fakulteta za strojništvo
Tadej Peršak, Fakulteta za strojništvo
Simon Klančnik, Fakulteta za strojništvo
Mirko Ficko, Fakulteta za strojništvo

This paper presents a numerical (FEA) and experimental analysis of various designs of connecting elements (“bridging tabs”) used in creating product chains via laser cutting. A total of 27 joint combinations were tested, differing in shape, contact surface width, and distance between individual parts. In the experimental section, we examine the mechanical properties of such chains—first by assessing stability when lifted and then by studying the fracture of the joints. During this process, we measure the remaining material left on the joint fracture surface.

In the parallel computational (FEA) analysis, we model the stress–strain conditions in the joints and predict the fracture point. The obtained results are compared with the experimental values. The purpose of this research is to determine the design of bridging tabs that balances sufficiently high chain stiffness with the ease of separating individual pieces. In doing so, we contribute to improved ergonomics and time efficiency in the laser cutting of larger series of smaller products.

Bojan Ačko, Fakulteta za strojništvo Univerze v Mariboru
Rok Klobučar, Fakulteta za strojništvo Univerze v Mariboru

Precision displacement sensors are increasingly used in modern industrial and research environments and play an important role in all areas of dimensional metrology. In industrial companies and metrology laboratories, these sensors are often used to calibrate various standards and measuring instruments due to their sub-micrometre accuracy. With the increasing use of precision displacement sensors, the demand for their calibration is also increasing, as this is essential for traceable measurements that can be referenced to the SI unit (metre). Despite the widespread use of such sensors, there is still no commercially available system for their calibration that provides the required metrological performance. For this purpose, the Laboratory for Production Measurements at the Faculty of Mechanical Engineering of the University of Maribor has developed a unique special measuring system that enables the fully automatic calibration of precision displacement sensors for length measurements up to 150 mm. The proposed system is based on a linear moving micrometer station mounted vertically on a base plate. Parallel to the station is a cantilevered support with clamps on which the sensor to be calibrated is clamped. Particular attention was paid to analyzing and validating the cosine error of the sensor before calibration. For this purpose, an algorithm was developed that uses an image processing method to enable the precise alignment of the sensor's measurement axis with the axis of the guides of the translation station. A laser interferometer based on modern diode laser technology is used as a reference sensor in the system. The presented development represents an important scientific and applied contribution in the field of metrology and fulfills the need of the advanced Slovenian industry for traceability of precise instruments for dimensional measurement.

Iurii Vandiak, Moderne tehnologije d.o.o.
Urban Kolman, Moderne tehnologije d.o.o.



For smaller production batches with variable workpiece shapes, workpieces are usually stored and transported unstructured between automated processes. At the entrance to such a process, the parts need to be placed in an orderly position, which in most cases is still done manually. Robotic random bin picking systems allow such tasks to be robotized. The developed system uses a 3D camera to detect the contents of the bin. Based on the captured data, a recognition algorithm finds the bin and locates the objects inside. Using the robot's geometric data, the next step is to generate a robot trajectory for picking up the object that is kinematically feasible and collision-free with the environment. Object detection and localisation is performed using deep neural networks and point clouds. All system components are integrated using a robotic operating system (ROS2). This integration allows the use of 3D cameras and robots of different types and manufacturers. The system is controlled and configured via a graphical interface developed using web technologies.

In today\'s world, the accessibility and speed of information are paramount. At Seco Tools, we have developed digital services that simplify our daily tasks in metalworking.

Uroš Štuklek, Dafra kontakt tehnologije d.o.o.
Ema Stefanovska, Fakulteta za strojništvo, Univerza v Ljubljani
Albin Sirc, Egasi d.o.o.
Dejan Rožič, Dafra kontakt tehnologije d.o.o.
Jure Peternel, Egasi d.o.o.

In the project 'Intelligent mechatronic progressive stamping tool for the production of combination sets of products', Dafra kontakt tehnologija d.o.o. optimises the performance of the mechatronic progressive stamping tool by adapting the performance of the mechatronic tool to the requirements of the product design. The objectives of the mechatronic tool are:
- To produce multiple products in a single tool,
- To produce stamped geometrically similar products with minimised waste when changing the product type on the selected tool,
- To control the process and increase the quality of the stamping process by creating a digital twin of the forming process.
To meet the above objectives, the collaboration of the industrial partners Dafra kontakt tehnologija d.o.o. and Egasi d.o.o. and the scientific research partner of the Faculty of Mechanical Engineering in Ljubljana was indispensable.
The paper presents the first development phase of the project, in which the test tool was used to verify the objectives set for the developed punch tool on one mechatronic position. The developed actuator from Egasi was used to establish the required settings of the stamping punch to produce the part's set geometry. In parallel, the quality of the tool operation was monitored by a digital twin of the tool, and a corresponding feedback loop for tool control and operation was established.

Boštjan Škrlj, Hella Saturnus Slovenija d.o.o.
Matija Obolnar, Hella Saturnus Slovenija d.o.o.

In the production of technically demanding products, such as automotive lighting, process stability is essential to ensure high quality. The precision requirements are very high, as these products must meet strict technical and safety standards. Uniform cavity filling in plastic injection molding is crucial to prevent defects and achieve consistent results. Challenges in ensuring uniform cavity filling emerged in production, prompting us to search for a solution that would enhance process stability and reduce errors. This led to the decision to implement an advanced system that optimizes the process, improving product quality and increasing production efficiency.

Josip Kos, TOPOMATIKA d.o.o
Nenad Drvar, TOPOMATIKA d.o.o
Tomislav Hercigonja, TOPOMATIKA d.o.o
Ena Peričić, Rimac Technology d.o.o
Andrea Perković, Rimac Technology d.o.o

The paper provides an overview and highlights the advantages of using industrial computerized tomography (CT) in evaluating battery cells and modules intended for electric vehicles in the automotive industry.
The main advantage of CT technology lies in its non-destructive nature, which enables the creation of a digital twin of the actual product, allowing for a detailed insight into the actual condition of the battery cell without the need for physical disassembly.
For battery system manufacturers, CT technology facilitates the digital transformation of processes in product development and quality control, offering faster and more accurate identification of manufacturing defects, damage analysis after rigorous testing, and ensuring safety in mass production of new battery systems.
The paper presents the results of three-dimensional measurements of battery cells from the product development phase, obtained using the ZEISS Metrotom CT system. Data evaluation was conducted using the ZEISS Inspect X-Ray software package, which enables comprehensive analysis of digital twins.

Aleš Hrobat, Olma d.o.o.
Jošt Mohorko, Olma d.o.o.
Vito Tič, Olma d.o.o.

The service life of hydraulic oil is significantly influenced by operating conditions as well as its composition. Manufacturers have access to different groups of base oils for the production of hydraulic oils. Due to the varying properties of these groups, the service life of the final product also differs.
This paper examines hydraulic oils based on different groups of base oils, their fundamental characteristics, and the differences between them. Furthermore, it presents the new series of Energolubric hydraulic oils, focusing on the extension of service life compared to conventional mineral-based hydraulic oils. The results of comparative testing of the oxidation stability of different oils will be presented. Additionally, the paper will discuss the aspect of energy efficiency in the operation of hydraulic systems, which is also influenced by the hydraulic oil used.

Keywords: hydraulic oil, oxidation stability, service life, energy efficiency

Jože Perko, Controltech
Peter Skopec, Controltech

In this lecture we will present key machine safety requirements per active directive 2006/42/ES. We will also present new key differences in new regulation 2023/1230/EU, which will be applied in 2027. One of the most important changes in the regulation is application of cyber security, which is now equal to machine safety. During lecture we will also talk about machines life cycle in also present some useful informations about how to apply this new regulation in real life

Rebeka Rudolf, Fakulteta za strojništvo, Univerza v Mariboru
Peter Majerič, Fakulteta za strojništvo, Univerza v Mariboru
Darja Feizpour, Inštitut za kovinske materiale in tehnologije

Printed circuit boards are an extremely important part of satellite technology, as they are used as filters/signal carriers, for data processing and communication. High-frequency signals are transmitted through the top surface of the circuit board, known as the skin effect. Consequently, the aim is to achieve low surface roughness of the circuit, as this reduces the loss in signal transmission. Different dispersions are used to produce the circuits, which can be printed by different methods into the required shapes. For this purpose, a dispersion based on gold nanoparticles (AuNPs) synthesised by ultrasonic spray pyrolysis and stabilised with polyvinylpyrrolidone (PVP) in water was prepared. The AuNPs were then dried to remove water. The dried AuNPs were then dispersed in ethanol to prepare a dispersion for line printing by plasma technology on an Al2O3 substrate (purity 96.5%). The Au concentration in the dispersion was measured by ICP-OES. TGA analysis showed the thermal stability of the AuNPs and viscosity measurements confirmed the pseudoplastic behaviour of the dispersion. The fabricated PCB was analysed by different techniques: SEM/EDX, FIB, AFM and electrical conductivity measurements were also performed.

In today's smart factory, digital twins are the basic building blocks. At their core, they perform synchronized interaction between physical and virtual systems, which are originally all in 3D dimensions. Especially in mass production, process speeds on machines are relatively high and work cycles are short, so 3D simulation of real-time systems, for example, can already be problematic. A simpler system is needed that can follow all the fast processes of part production and can be upgraded into a more complex 3D digital twin depending on the possibilities and needs. IIoT Industrial Internet of Things has established itself in mass manufacturing as a system of edge computing that interact synchronously with machines, tools, products, and other physical systems, current UNS data, and asynchronously interact with lake, fog, cloud computing and people through XR augmented reality with the aim of visualizing, simulating, controlling, diagnosing, predicting, maintaining, quality, analysis, optimization and innovating all processes of the smart factory in a green indoor and outdoor environment with a circular economy for the benefit of people. The IIoT is becoming the core of the transformation of the smart factory in manufacturing from digital twins and shadows as the fundamental basis for the digitization of the entire production and the smart factory.

Luca Petan , ELVEZ, d.o.o
Gianluca Palli, Alma Mater Studiorum - Università di Bologna
Salvatore Pirozzi, Università degli Studi della Campania “Luigi Vanvitelli”

Automating wiring harness assembly is challenging due to the flexibility and variability of components. The IntelliMan project develops an AI-enhanced robotic system designed for precise and reliable wire insertion in the automotive industry. The system integrates a UR5e robotic arm with a Robotiq Hand-E gripper featuring sensorized fingers and an OAK1 RGB camera for object recognition. Advanced AI algorithms enable real-time estimation of wire shapes, orientations, and required insertion forces. Experiments conducted at ELVEZ demonstrate a high success rate and significant efficiency gains over traditional methods. The system's adaptability and modular architecture make it suitable for broader industrial applications.

Irena Pulko, Fakulteta za tehnologijo polimerov
Janez Slapnik, Fakulteta za tehnologijo polimerov

This contribution presents the application potential and current challenges in the field of joining of polymers with dynamic covalent networks, as a novel approach for welding inherently incompatible polymers, using acrylonitrile butadiene styrene (ABS) and polypropylene (PP) as examples. Conventional joining techniques typically fail with dissimilar polymer systems due to thermodynamic immiscibility and poor adhesion at the interfaces. By incorporating the same type of dynamic covalent bonds into both polymers, chemical connections can be formed between them. The mentioned polymers were injection overmoluded and welded using ultrasonic welding, as well as thermal welding in a conventional oven, since it is crucial for establishing connections between such polymers that the reaction has sufficient time to proceed to a significant extent. The results indicate that dynamic covalent networks offer a promising solution for joining dissimilar polymers in industrial applications.

Silvester Bolka, Fakulteta za tehnologijo polimerov, Ozare 19, 2380 Slovenj Gradec
Marko Verčkovnik, Fakulteta za tehnologijo polimerov, Ozare 19, 2380 Slovenj Gradec
Rajko Bobovnik, Fakulteta za tehnologijo polimerov, Ozare 19, 2380 Slovenj Gradec
Blaž Nardin, Fakulteta za tehnologijo polimerov, Ozare 19, 2380 Slovenj Gradec
Gregor Vedenik, Veplas d.d., Cesta Simona Blatnika 11, 3320 Velenje
Lara Letonje, Veplas d.d., Cesta Simona Blatnika 11, 3320 Velenje
Saša Vedenik, Veplas d.d., Cesta Simona Blatnika 11, 3320 Velenje

In this article, we will present the use of glass reinforcement obtained from thermally recycled mat from waste thermoset composites, prepared by Riverasca SpA, in combination with a thermoset matrix for the "Shelf" integrated into the motorhome cabin – an innovative product by Veplas.
Through the thermal recycling process, the glass fibers lose their silane coating, which ensures improved adhesion between the reinforcing fibers and the matrix. To achieve the required properties of the prepared composite, we ensured improved adhesion with appropriate additives in the matrix, consequently achieving suitable mechanical properties.
We measured the mechanical properties of the recycled composite. The results of these analyses were used to determine the parameters for preparing the matrix for the production of prototype parts at Veplas. With this approach, we validated the construction of the "Motorhome Shelf" in the existing LRTM molds at Veplas.
The implementation is a fine example of collaboration between industry and research institutions in the field of circular economy within the public call of the DeremCo project. We have shown that with our own knowledge on existing equipment, we can make thermoset composites for innovative and highly demanding applications.

Domen Gorjup, Univerza v Ljubljani, Fakulteta za strojništvo
Klemen Zaletelj, Univerza v Ljubljani, Fakulteta za strojništvo
Tibor Barši Palmić, Univerza v Ljubljani, Fakulteta za strojništvo
Robert Bolčina, MAHLE
Janez Luznar, DOMEL

OpenEOL is a Python-based open-source platform for end-of-line (EOL) product inspection, designed for ease of use, flexibility, and integration with industrial hardware. It supports big data analysis and machine learning.

Key features:
Open-source industrial hardware integration
Advanced analysis methods
Reduced reliance on proprietary software
Flexible and easy to maintain

Developed within the GREMO project (University of Ljubljana, Mahle, Domel), OpenEOL is already deployed in production lines. Currently private, a plan is in place to make it publicly available by 2027.

Components:
Tasks – Core operational units handling automation and errors
State Machine – Manages workflows, execution modes, and debugging
IO Module – Connects software with industrial hardware
GUI – Intuitive interface for monitoring and control

OpenEOL integrates with industrial hardware standards (PLCs, DAQs, CAN/Modbus drivers etc.), ensuring precise and performant quality control capability. It is designed with industrial implementations in mind, to support the real-world requirements of modern industrial production processes.

Borut Buchmeister, Univerza v Mariboru, Fakulteta za strojništvo
Robert Ojsteršek, Univerza v Mariboru, Fakulteta za strojništvo
Klemen Kovič, Univerza v Mariboru, Fakulteta za strojništvo
Iztok Palčič, Univerza v Mariboru, Fakulteta za strojništvo

The increasing integration of robots into production systems worldwide highlights the growing importance of automation, which is often crucial for maintaining global competitiveness. Although full automation brings many benefits, the dynamic nature of modern orders requires a high degree of flexibility. The introduction of collaborative workplaces, involving human-robot collaboration (HRC), can increase the production efficiency and flexibility. Nevertheless, worker safety and well-being remain a concern. This study shows the impact of worker utilization level, when working with a collaborative robot, on their workload, stress and efficiency. The experiment consists of three HRC scenarios: low, high and adjusted worker utilization, where in each scenario different collaborative robot motion parameters were used, adapted to the capabilities of the individual worker. Worker’s workload was assessed using the NASA-TLX questionnaire, while physiological stress was measured by electrocardiogram (ECG) and analysed using Kubios HRV software. The results show that higher worker utilization leads to higher efficiency but also to higher workload and stress. Conversely, a lower utilization leads to a lower workload but also to lower efficiency. The findings highlight the need for personalized guidelines in HRC scenarios and emphasize the need to balance worker well-being with production efficiency. Considering the capabilities of the worker and the goals of the industry is essential to designing sustainable and human-centred systems that improve performance and well-being.

Boštjan Jegrišnik, UNIOR d.d.
Uroš Matavž, UNIOR d.d.
Niko Herakovič, Laboratorij LASIM, Fakulteta za strojništvo, Univerza v Ljubljani

The presentation focuses on the use of a digital twin to optimize the layout and production logistics at UNIOR, where machines had to be relocated to two existing sites. The digital twin enabled a precise analysis of material flows, leading to their optimization and improved transport efficiency. At the same time, the solution increased the number of operations performed at the new locations by more than 320% and enhanced space utilization. The optimization of material flows eliminated the need for external logistics services, resulting in significant cost savings and higher production capacity. The presentation highlights how digital twin technology can help address complex industrial challenges.

Blaž Nardin, Fakulteta za tehnologijo polimerov
Silvester Bolka, Fakulteta za tehnologijo polimerov
Sebastjan Zaverla, Fakulteta za tehnologijo polimerov
Rajko Bobovnik, Fakulteta za tehnologijo polimerov
Natalija Štumpfl, Fakulteta za tehnologijo polimerov

In this article, we will present the use of waste polypropylene combined with waste coconut fibers to create a low-density pot that can be used for plant growth with hydroponics. At the Faculty of Polymer Technology, we used waste transport belts from the company KO-SI in the form of recycled polypropylene, which we ground and mixed with ground waste coconut fibers, representing industrial waste from the company KOSI. To achieve proper bonding between the matrix and the fibers, we added an appropriate compatibilizer. This ensured good interfacial interactions between the waste coconut fibers and the recycled polypropylene matrix. Using computer-aided design (CAD) with Siemens NX 12 software, we first created a 3D model of a pot suitable for hydroponic plant growth. Next, we constructed thermoforming tool, which we 3D printed using Fused Deposition Modeling (FDM) technology. Using a press, we made sheets from the prepared composite material, which we then transformed into hydroponic plant pots using thermoforming and the 3D printed tool.
This project is an excellent example of collaboration between industry and research institutions in the field of circular economy.

Jithinraj Edaklavan Koroth, Univerza v Ljubljani, Fakulteta za strojništvo

Plasma Electrolytic Polishing (PEP) is an advanced electrochemical technique for enhancing the surface quality of 3D-printed metal parts. This paper explores the PEP process, highlighting its ability to reduce surface roughness, improve corrosion resistance, and process complex geometries. Compared to conventional polishing methods, PEP offers higher efficiency but requires careful control of electrolyte composition and process parameters. Case studies demonstrate its effectiveness on various additively manufactured metal components The findings support PEP as a promising solution for post-processing in industry.

Marko Verčkovnik, Fakulteta za tehnologijo polimerov
Sebastjan Zaverla, Fakulteta za tehnologijo polimerov
Rajko Bobovnik, Fakulteta za tehnologijo polimerov
Blaž Nardin, Fakulteta za tehnologijo polimerov
Alen Šapek, Additio, Dobja vas 253, 2390 Ravne na Koroškem
Danijel Gracej, Additio, Dobja vas 253, 2390 Ravne na Koroškem
Edina Ljami, Additio, Dobja vas 253, 2390 Ravne na Koroškem

In the article, the use of mechanically recycled wind blades in combination with recycled polypropylene from TAB-IPM for the reinforcement part of "FlexProtec" – an innovative protective sports guard developed by Additio – will be presented. At the Faculty of Polymer Technology, recycled polypropylene from TAB-IPM was used to prepare a thermoplastic composite to which ground waste from wind blades. To achieve the desired properties of the prepared composite, fresh glass fibres and a suitable compatibilizer were also added, ensuring good interfacial interactions between the waste and fresh fibres and the recycled polypropylene matrix. The mechanical and thermal properties of the recycled composite were measured. The results of these analyses were used to determine the injection moulding parameters, where the prototypes were injected into 3D-printed mould inserts for injection moulding, which had been prepared at Additio. With this approach, the design of the reinforced composite part "FlexProtec" of the innovative protective sports guard was validated even before the production of the metal mould inserts. For the future, there is an idea to develop hybrid metal mould inserts with interchangeable plastic SLA 3D-printed engravings.
The implementation is considered a great example of collaboration between industry and a research institution in the field of circular economy within the framework of the project DeremCo Open Call. It was demonstrated that, with existing expertise and equipment, thermoplastic composites for innovative and highly demanding applications can be produced. For the future, an idea has been conceived to develop hybrid, metal engraving inserts with interchangeable plastic SLA 3D printed engravings.

Igor Pugelj, Yaskawa Ristro d.o.o.
Matej Merkač, Yaskawa Slovenija d.o.o.

Robotic welding cell with two workstations with servo-rotating positioners and universal clamping fixtures. Two Motoman welding robots type AR2010 with automatic torch change on a servo track. Robotic tending of welding fixtures with a Motoman robot type GP600 with a load capacity of 600 kg, automatic gripper change, mounted on a servo track. Two-axis servo gantry equipped with a universal gripper for removing the finally welded product from the clamping fixtures.

Marko Šimic, Fakulteta za strojništvo, Univerza v Ljubljani
Niko Herakovič, Fakulteta za strojništvo, Univerza v Ljubljani