Applied sciences

Bulletin of the Polish Academy of Sciences Technical Sciences

Content

Bulletin of the Polish Academy of Sciences Technical Sciences | 2024 | 72 | 1

Authors and Affiliations

Dariusz Mikołajewski
1
ORCID: ORCID
Jacek M. Czerniak
1
ORCID: ORCID
Maciej Piechowiak
1
ORCID: ORCID
Katarzyna Węgrzyn-Wolska
2
ORCID: ORCID
Janusz Kacprzyk
3
ORCID: ORCID

  1. Kazimierz Wielki University, Bydgoszcz, Poland
  2. EFREI Panthéon-Assas University Paris II, France
  3. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

By reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT devices, cloud computing, big data analytics, and artificial intelligence to optimize industrial processes and increase efficiency. It also focuses on how to use modern methods (i.e. computerization, robotization, automation, machine learning, new business models, etc.) to integrate the entire manufacturing industry around current and future economic and social goals. The article presents the state of knowledge on the use of the Internet of Things and optimization based on artificial intelligence within the Industry 4.0 paradigm. The authors review the previous and current state of knowledge in this field and describe known opportunities, limitations, directions for further research, and industrial applications of the most promising ideas and technologies, considering technological, economic, and social opportunities.
Go to article

Authors and Affiliations

Dariusz Mikołajewski
1
ORCID: ORCID
Jacek M. Czerniak
1
ORCID: ORCID
Maciej Piechowiak
1
ORCID: ORCID
Katarzyna Węgrzyn-Wolska
2
ORCID: ORCID
Janusz Kacprzyk
3
ORCID: ORCID

  1. Faculty of Computer Science, Kazimierz Wielki University, Bydgoszcz, Poland
  2. EFREI Paris Pantheon Assas University, Paris, France
  3. Systems Research Institute, Polish Academy of Science, Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

The investigation of a decentralized radio network dedicated to unmanned aerial systems (UASs) was presented in the paper. Two frequencies (315 MHz; 434 MHz) and five different configurations of Gaussian frequency-shift keying (GFSK) were taken into account. Three different algorithms for decentralized networks were investigated and their influence on the network capacity was measured. The research was done both for static and dynamically changed unmanned aerial vehicle (UAV) positions. In order to quantify the research three different parameters were determined: RSSI, nP (number of data packets in one second), and f (frequency of data update).
Go to article

Authors and Affiliations

Patryk Szywalski
1
Andrzej Waindok
1
ORCID: ORCID

  1. Faculty of Electrical Engineering, Automatic Control and Informatics, Department of Electrical Engineering and Mechatronics,Opole University of Technology, Opole, Poland
Download PDF Download RIS Download Bibtex

Abstract

The paper presents an off-line application that determines the maximum accuracy of the reference points for the given dynamics parameters of a CNC machine. These parameters are maximum speed, acceleration, and JERK. The JERK parameter determines the rate of change of acceleration. These parameters are defined for each working axis of the machine. The main achievement of the algorithm proposed in the article is the determination of the smallest error specified for each reference point resulting from the implemented G-code for the considered dynamic parameters of the CNC machine. The solutions to this problem in industry consider the improvement in the accuracy of hitting the reference points, but they do not provide information on whether the obtained solution is optimal for such parameters of the machine dynamics. The algorithm makes the accuracy dependent on the adopted dynamic parameters of the machine and the parameters of the PLC controller used in the CNC machine.
Go to article

Authors and Affiliations

Bogdan Kwiatkowski
1
ORCID: ORCID
Tadeusz Kwater
2
ORCID: ORCID
Damian Mazur
1
ORCID: ORCID
Jacek Bartman
3
ORCID: ORCID

  1. Department of Electrical and Computer Engineering Fundamentals, Rzeszow University of Technology, ul. W. Pola 2, 35-959 Rzeszow, Poland
  2. Institute of Technical Engineering, State University of Technology and Economics in Jaroslaw, ul. Czarnieckiego 16, 37-500 Jaroslaw, Poland
  3. University of Rzeszow, ul. Rejtana 16C, Rzeszow, Poland
Download PDF Download RIS Download Bibtex

Abstract

Composite materials are a constantly evolving group of engineering materials, which has significantly changed their current, and potential role as structural materials over the past decades. Composites offer greater strength, stiffness, and less deformation to structural designers than previously available engineering materials. Resin matrix composites are widely used in the transportation, marine, aerospace, energy, and even sports industries. The manufacturing stage has a profound influence on the quality of the final product. This paper presents the production of composite materials by gravity casting in silicone moulds, using an epoxy/polyester resin matrix reinforced with wood chips and shredded glass fiber reinforced composite from recycled wind turbine blades. Some of the fabricated samples were degassed in a reduced-pressure chamber. The mechanical properties of the produced material were then examined. It was noted that the silicone moulds did not affect the resin self-degassing due to the large surface area to weight ratio, and the remaining small air bubbles had a limited effect on the mechanical properties of the samples. The filler used also played a significant role. Composites filled with crushed GFRC showed better strength properties than composites filled with wood chips. The conducted research is aimed at selecting materials for further testing with a view to their use in the manufacture of next-generation wood-based composite structural materials.
Go to article

Authors and Affiliations

Anna Czajkowska
1
ORCID: ORCID
Tomasz Rydzkowski
1
ORCID: ORCID
Dorota Laskowska
1
ORCID: ORCID

  1. Koszalin University of Technology, Faculty of Mechanical Engineering, Racławicka 15-17 street, 75-620 Koszalin, Poland