Maksymilian Maślanka

Mr. Maksymilian Maślanka

orcid

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 October 2025 in Sensors
Verified
Journal Article
Open access
PDF file
MMMaksymilian Maślanka
Maksymilian Maślanka
DANIEL JANCARCZYKDANIEL JANCARCZYK
DANIEL JANCARCZYK
Jacek RysińskiJacek Rysiński
Jacek Rysiński
The integration of machine vision systems with programmable logic controllers (PLCs) is increasingly crucial for automated quality assurance in Industry 4.0 environments. This paper presents an applied case study of vision–PLC integration, focusing on real-time synchronization, deterministic communication, and practical industrial deployment. The proposed platform combines a Cognex In-Sight 2802C smart camera (Cognex Corporation, Natick, MA, USA) with an Allen-Bradley Compact GuardLogix PLC through Ethernet/IP implicit cyclic exchange. Three representative case studies were investigated: 3D-printed prototypes with controlled defects, automotive electrical connectors inspected using Cognex ViDi supervised learning tools, and fiber optic tubes evaluated via a custom fixture-based heuristic method. Across all scenarios, detection accuracy exceeded 95%, while PLC-level triple verification reduced false classifications by 28% compared to camera-only operation. The work highlights the benefits of PLC-driven inspection, including robustness, real-time performance, and dynamic tolerance adjustment via HMI interfaces. At the same time, several limitations were identified, including sensitivity to lighting variations, limited dataset size, and challenges in scaling to full production environments. These findings demonstrate a replicable integration framework that supports intelligent manufacturing. Future research will focus on hybrid AI–PLC architectures, extended validation on industrial production lines, and predictive maintenance enabled by edge computing.

11 January 2025 in Materials
Verified
Journal Article
Open access
PDF file
IRIzabella Rajzer
Izabella Rajzer
AKAnna Kurowska
Anna Kurowska
JJJarosław Janusz
Jarosław Janusz
MMMaksymilian Maślanka
Maksymilian Maślanka
AJAdam Jabłoński
Adam Jabłoński
JFJana Frankova
Jana Frankova
The use of scaffolds for osteochondral tissue regeneration requires an appropriate selection of materials and manufacturing techniques that provide the basis for supporting both cartilage and bone tissue formation. As scaffolds are designed to replicate a part of the replaced tissue and ensure cell growth and differentiation, implantable materials have to meet various biological requirements, e.g., biocompatibility, biodegradability, and mechanical properties. Osteoconductive materials such as tricalcium phosphate ceramics and some biodegradable polymers appear to be a perfect choice. The present work evaluates the structural, mechanical, thermal, and functional properties of a shape memory terpolymer modified with β-tricalcium phosphate (β-TCP). A new approach is using the developed materials for 4D printing, with a particular focus on its applicability in manufacturing medical implants. In this study, the manufacturing parameters of the scaffold components were developed. The scaffolds were examined via scanning electron microscopy with energy dispersive spectroscopy (SEM-EDS), Fourier-transform infrared spectroscopy (FTIR), differential scanning calorimetry (DSC), and mechanical testing. The cytotoxicity result was obtained with an MTT assay, and the alkaline phosphatase (ALP) activity was measured. The structural and microstructural investigations confirmed the integration of β-TCP into the filament matrix and scaffolds. Thermal stability was enhanced as β-TCP delayed depolymerization of the polymer matrix. The shape memory studies demonstrated effective recovery. The in vitro cell culture studies revealed the significantly increased cell viability and alkaline phosphatase (ALP) activity of the β-TCP-modified terpolymer after 3 weeks. The developed terpolymer can be tailored for applications in which partial shape recovery is acceptable, such as bone scaffolds.

3 December 2024 in Preprints.org
Verified
Preprint
Open access
PDF file
IRIzabella Rajzer
Izabella Rajzer
AKAnna Kurowska
Anna Kurowska
JJJarosław Janusz
Jarosław Janusz
MMMaksymilian Maślanka
Maksymilian Maślanka
AJAdam Jabłoński
Adam Jabłoński
JFJana Frankova
Jana Frankova
The aim of this study was to evaluate the effect of β-tricalcium phosphate (β-TCP) modification on the structural, mechanical, thermal, and functional properties of a shape-memory terpolymer, with a focus on its potential application in 4D printing technology and medical implant production. The integration of β-TCP into the filament matrix and scaffolds was confirmed through microscopic (SEM, stereoscopic) and spectroscopic (FTIR, EDS) analyses. FTIR spectra indicated successful incorporation of β-TCP into the polymer. Differential scanning calorimetry (DSC) analysis revealed a shift toward a more amorphous structure following β-TCP modification, improving processing properties, particularly for 3D printing. Thermal stability was enhanced, as β-TCP delayed depolymerization of the polymer matrix. Shape-memory studies demonstrated effective recovery in both modified and unmodified samples, although β-TCP slightly reduced recovery performance. In vitro cell culture studies showed that β-TCP-modified terpolymer significantly increased cell viability and alkaline phosphatase (ALP) activity after 3 weeks. The β-TCP-modified terpolymer can be tailored for applications where partial shape recovery is acceptable, such as bone scaffolds or implants designed to promote osteointegration.