@vsb.cz
Faculty of Mechanical Engineering, Department of Machining, Assembly and Engineering Metrology
VSB - Technical University of Ostrava
2017–2021 VŠB – TU Ostrava, Faculty of Mechanical Engineering, Doctoral studies in Engineering Technology – Ph.D.
2015-2017 VŠB – TU Ostrava, Faculty of Mechanical Engineering, Master's degree in Transport Engineering and Technology – Road Transport – Ing.
2011-2014 VŠB – TU Ostrava, Faculty of Mechanical Engineering, Bachelor's degree in Construction Machinery and Equipment– Bc.
2007-2011 SOŠ a SOU strojírenské a stavební, Jeseník, secondary education, graduation studies
realization of experiments with specialization on 3D printing of composites, preparation of samples, measurement, and study of materials for 3D printing samples, evaluation of information on the printing process, and evaluation of their impact on the mechanical and surface properties.
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Hana Krupova, Kristyna Sternadelova, Jakub Mesicek, Quoc-Phu Ma, and Jiri Hajnys
Elsevier BV
Hoang-Sy Nguyen, Huynh-Cong Danh, Quoc-Phu Ma, Jakub Mesicek, Jiri Hajnys, Marek Pagac, and Jana Petru
MDPI AG
The integration of the Internet of Things (IoT) in healthcare has been a popular topic in recent years. This article provides a comprehensive review of the medical IoT for healthcare, emphasizing the state of the art, the enabling technologies to adopt virtuality and reality interaction, and human-centered communication for healthcare (the Metaverse, Extended Reality (XR), blockchain, Artificial Intelligence (AI), robotics). In particular, we assess the number of scientific articles and patents within the period 2015–2022. We then use the two-stage process following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and screening techniques. From that, the relations among the published papers can be visualized. This study examines the insights by evaluating the weights and connections of the nodes in the bibliometric networks. The reviewed papers showcase the rapid growth of IoT-related studies and intellectual property developments, reflecting the burgeoning interest and investment in this domain. As this paper delves into the network of interconnections between these works, it fosters a deeper understanding of the current state of IoT applications in healthcare and uncovers potential research gaps and areas for future exploration. This paper also provides a brief view of the role of IoT in healthcare research and application in combination with emerging technologies such as AI, blockchain, the IoT-enabled Metaverse, robotics, and cloud computing. The article can serve as a guideline and inspiration for both researchers and practitioners in the smart health service sector.
HOANG-SY NGUYEN, , KHANH-DUY HO HOANG, CONG-DANH HUYNH, QUOC-PHU MA, JAKUB MESICEK, , , , and
MM Publishing, s.r.o.
In recent years, close-range photogrammetric scanning systems have become increasingly popular due to their low-cost hardware, components, and user-friendly software. These systems utilize high-resolution cameras and advanced algorithms to produce accurate and precise 3D models, which are essential for analyzing, documenting, and preserving cultural heritage. While there are various methods for creating 3D models, minimizing cost and time is a primary concern. This paper focuses on photogrammetry as an option for surface reconstruction that might be used to make 3D representations of transparent objects. The objective of the research is to investigate the feasibility of creating appropriate 3D models for surface reconstruction and units of transparent objects through photogrammetry, utilizing open-source photogrammetry algorithms.
František Fojtík, Roman Potrok, Jiří Hajnyš, Quoc-Phu Ma, Lukáš Kudrna, and Jakub Měsíček
MDPI AG
This study focuses on the experimental verification of residual stress (RS) in a 3D-printed braking pedal using the Powder Bed Fusion (PBF) method with SS316L material. The RS was measured at two representative locations using the hole drilling method (HDM) and the dividing method, which are semi-destructive and destructive methods of RS measurement, respectively. The finite element method (FEM) was used with Ansys Workbench 2020R2 and Simufact Additive 2021 software to determine the magnitude of RS. The results provide insights into how RS is incorporated into metal 3D-printed components and the available tools for predicting RS. This information is essential for experts to improve the accuracy and functionality of SLM parts when post-subtractive or additive manufacturing processes are used. Overall, this study contributes to the advancement of knowledge on the effects of RS on 3D-printed metal components, which can inform future research and development in this area.
ELISKA POSMYKOVA, , MAREK GAZDA, JAKUB MESICEK, , and
MM Publishing, s.r.o.
The focus of this paper is to compare the results of topological optimization (TO) of the rocker arm for following 3D printing out of AISI 316L stainless steel by the Selective Laser Melting (SLM) method. We used the Altair Inspire software to optimize the shape of the rocker arm. Two variants of optimization were created, first, a variant of optimization without the Shape Control function was carried out, which resulted in a complex mechanical component with an organic shape. This bionic design means more support for the SLM method of Additive Manufacturing (AM) and worse surface quality after their removal. Therefore, a second variant of optimization was produced with the application of the Shape Control function, which positively affects manufacturability and postprocessing. The use of shape control reduced the amount of supports to a minimum, helping to improve the surface finish.
HOANG-SY NGUYEN, , QUOC-PHU MA, JIRI HAJNYS, JAKUB MESICEK, MAREK PAGAC, , , , and
MM Publishing, s.r.o.
This paper reviews the current trend in the field of additive manufacturing based on the bibliometrics study. In particular, we assessed the interest of the research community revolving the hybrid material. Scopus database was referred to for the English literature on the hybrid materials in additive manufacturing, published in the time period from 2012 to 2022. As a result, 973 relevant articles were found and studied. Information related to the top journals in which they were published, as well as the topics of the papers were shown. Based solely on the quantitative study, the valuable insights were extracted. Specifically, we report the number of publications over the years, the fields where the publications belong to, the top journals that publish those works, and a network of keywords that are important for such a topic. The paper would serve as a brief and helpful introduction for researchers and practitioners to the current trend of the field.
ROMAN BLAHA, , DOMINIK KRISAK, JIRI HAJNYS, JAKUB MESICEK, MAREK PAGAC, LUKAS JANCAR, JAN JANSA, ELISKA POSMYKOVA, MAREK GAZDA,et al.
MM Publishing, s.r.o.
The main goal of this paper is to present the results of experimental verification of process parameters affecting mechanical properties of M300 material in the Selective Laser Melting (SLM) process. To obtain the values of mechanical properties, the samples were subjected to tensile testing, where the force, and elongation values were obtained. Therefore, from these values, the values of yield strength, elastic modulus, force and stress at the interface, tensile strength were then derived. It was also possible to construct tensile test F - ∆L: force-elongation diagrams for all specimens, and to construct an R – Ɛ: stress-strain dependency diagram using the calculation of the original area and original length of the specimen. As a result of this work, mechanical property diagram was produced as a function of the process parameters used, showing which parameters most appropriate for the desired properties on the Renishaw AM400 printer.
Aleksandra Mikulikova, Jakub Mesicek, Jan Karger, Jiri Hajnys, Quoc-Phu Ma, Ales Sliva, Jakub Smiraus, David Srnicek, Samuel Cienciala, and Marek Pagac
MDPI AG
This article aims to review a redesign approach of a student racing car’s clutch lever component, which was topologically optimized and manufactured by Additive Manufacturing (AM). Finite Element Method (FEM) analysis was conducted before and after a Topology Optimization (TO) process in order to achieve equivalent stiffness and the desired safety factor for the optimized part. The redesigned clutch lever was manufactured by using AM–Selective Laser Melting (SLM) and printed from powdered aluminum alloy AlSi10Mg. The final evaluation of the study deals with the experimental test and comparison of the redesigned clutch lever with the existing part which was used in the previous racing car. Using TO as a main redesign tool and AM brought significant changes to the optimized part, especially the following: reduced mass of the component (10%), increased stiffness, kept safety factor above the 3.0 value and ensured the more aesthetic design and a good surface quality. Moreover, using TO and AM gave the opportunity to consolidate multi-part assembly into a single component manufactured by one manufacturing process that reduced the production time. The experimental results justified the simulation results and proved that even though the applied load was almost 1.5× higher than the assumed one, the maximum von Mises stress on the component was still below the yield limit of 220 MPa.
J. Hajnys, M. Pagac, J. Mesicek, and P. Krpec
CRC Press
Jakub Měsíček, Tomáš Čegan, Quoc-Phu Ma, Radim Halama, Kateřina Skotnicová, Jiří Hajnyš, Jan Juřica, Pavel Krpec, and Marek Pagáč
Elsevier BV
Quoc-Phu Ma, Jakub Mesicek, Frantisek Fojtik, Jiri Hajnys, Pavel Krpec, Marek Pagac, and Jana Petru
MDPI AG
In metal 3D printing with Selective Laser Melting (SLM) technology, due to large thermal gradients, the residual stress (RS) distribution is complicated to predict and control. RS can distort the shape of the components, causing severe failures in fabrication or functionality. Thus, several research papers have attempted to quantify the RS by designing geometries that distort in a predictable manner, including the Bridge Curvature Method (BCM). Being different from the existing literature, this paper provides a new perspective of the RS build-up in aluminum parts produced with SLM using a combination of experiments and simulations. In particular, the bridge samples are printed with AlSi10Mg, of which the printing process and the RS distribution are experimentally assessed with the Hole Drilling Method (HDM) and simulated using ANSYS and Simufact Additive. Subsequently, on the basis of the findings, suggestions for improvements to the BCM are made. Throughout the assessment of BCM, readers can gain insights on how RS is built-up in metallic 3D-printed components, some available tools, and their suitability for RS prediction. These are essential for practitioners to improve the precision and functionality of SLM parts should any post-subtractive or additive manufacturing processes be employed.
David Krzikalla, Jakub Měsíček, Radim Halama, Jiří Hajnyš, Marek Pagáč, Tomáš Čegan, and Jana Petrů
Elsevier BV
Lukas Kudrna, Quoc-Phu Ma, Jiri Hajnys, Jakub Mesicek, Radim Halama, Frantisek Fojtik, and Lukas Hornacek
MDPI AG
Reverse engineering is the process of creating a digital version of an existing part without any knowledge in advance about the design intent. Due to 3D printing, the reconstructed part can be rapidly fabricated for prototyping or even for practical usage. To showcase this combination, this study presents a workflow on how to restore a motorcycle braking pedal from material SS316L with the Powder Bed Fusion (PBF) technology. Firstly, the CAD model of the original braking pedal was created. Before the actual PBF printing, the braking pedal printing process was simulated to identify the possible imperfections. The printed braking pedal was then subjected to quality control in terms of the shape distortion from its CAD counterpart and strength assessments, conducted both numerically and physically. As a result, the exterior shape of the braking pedal was restored. Additionally, by means of material assessments and physical tests, it was able to prove that the restored pedal was fully functional. Finally, an approach was proposed to optimize the braking pedal with a lattice structure to utilize the advantages the PBF technology offers.
Ondrej Mizera, Jiri Hajnys, Lenka Cepova, Jan Zelinka, and Jakub Mesicek
Springer International Publishing
Martina Kalova, Sona Rusnakova, David Krzikalla, Jakub Mesicek, Radek Tomasek, Adela Podeprelova, Jiri Rosicky, and Marek Pagac
MDPI AG
The aim of the paper is to design, manufacture, and test an off-axis composite profile of circular cross-section. Composite profile based on continuous carbon fibers reinforcing the onyx matrix, i.e., a matrix that consists of nylon and micro carbon fibers, was produced by fused deposition modeling (FDM) method. A buckling test of the six printed composite specimens was performed on a tensile test machine. The values of the experiment were compared with the values of the computational simulation using the Finite Element Method (FEM) analysis. The mean value of the experimentally determined critical force at which the composite profile failed was 3102 N, while the value of the critical force by FEM analysis was calculated to be 2879 N. Thus, reliability of the simulation to determine the critical force differed from the experimental procedure by only 7%. FEM analysis revealed that the primary failure of 3D printed composite parts was not due to loss of stability, but due to material failure. With great accuracy, the results of the comparison show that it is possible to predict the mechanical properties of 3D printed composite laminates on the basis of a theoretical model.
Jakub Mesicek, Lukas Jancar, Quoc-Phu Ma, Jiri Hajnys, Tomasz Tanski, Pavel Krpec, and Marek Pagac
MDPI AG
The combination of topology optimization (TO) and 3D printing has revolutionized the way components are designed and fabricated. In view of this, this manuscript presents a TO workflow considering the frame of a scooter. In particular, TO is employed to redesign the scooter frame based on a commercial one. The topologically optimized frame is then fabricated with stainless steel 316L utilizing the selective laser melting (SLM) method. In particular, technical obstacles encountered during the process and according solutions are recorded. Given the herein notes, readers who are working with the two technologies can anticipate the technical problems and deliver more effective solutions should any of them arise.
Jakub Mesicek, Quoc-Phu Ma, Jiri Hajnys, Jan Zelinka, Marek Pagac, Jana Petru, and Ondrej Mizera
MDPI AG
Improving the surface roughness quality of 3D printed components, especially metallic ones, which are fabricated from the selective laser melting (SLM) method, has drawn enormous attention from the research community. It should be noted that various studies on this topic have reported that precise surface roughness results can be obtained with various techniques that are indeed not cost-effective. Differing itself from these studies, this manuscript investigates an economical solution for fabricating and surface treating SLM components. Specifically, the inspected specimens were printed with recycled 316L stainless steel powder and treated solely with two abrasive surface finishing methods. In the manuscript, two scanning strategies namely meander and stripes, and three types of surfaces were investigated. Subsequently, their 2D and 3D surface roughness results were elaborated. After the proposed herein abrasive treatment, 3D surface roughness arithmetical mean height of a surface (Sa) value of 0.9 µm can be achieved.
Marek Pagac, Jiri Hajnys, Quoc-Phu Ma, Lukas Jancar, Jan Jansa, Petr Stefek, and Jakub Mesicek
MDPI AG
Additive manufacturing (3D printing) has significantly changed the prototyping process in terms of technology, construction, materials, and their multiphysical properties. Among the most popular 3D printing techniques is vat photopolymerization, in which ultraviolet (UV) light is deployed to form chains between molecules of liquid light-curable resin, crosslink them, and as a result, solidify the resin. In this manuscript, three photopolymerization technologies, namely, stereolithography (SLA), digital light processing (DLP), and continuous digital light processing (CDLP), are reviewed. Additionally, the after-cured mechanical properties of light-curable resin materials are listed, along with a number of case studies showing their applications in practice. The manuscript aims at providing an overview and future trend of the photopolymerization technology to inspire the readers to engage in further research in this field, especially regarding developing new materials and mathematical models for microrods and bionic structures.
Marek Pagac, Jiri Hajnys, Radim Halama, Tariq Aldabash, Jakub Mesicek, Lukas Jancar, and Jan Jansa
MDPI AG
This paper deals with an experimental analysis of stress prediction and simulation prior to 3D printing via the selective laser melting (SLM) method and the subsequent separation of a printed sample from a base plate in two software programs, ANSYS Addictive Suite and MSC Simufact Additive. Practical verification of the simulation was performed on a 3Dprinted topologically optimized part made of AISI 316L stainless steel. This paper presents a typical workflow for working with metallic 3D printing technology and the state-of-the-art knowledge in the field of stress analysis and simulation of printed components. The paper emphasizes the role of simulation software for additive production and reflects on their weaknesses and strengths as well, with regard to their use not only in science and research but also in practice.
ROBERT PASTOR, , ZDENKO BOBOVSKY, PETR OSCADAL, JAKUB MESICEK, MAREK PAGAC, ERIK PRADA, LUBICA MIKOVA, JAN BABJAK, ,et al.
MM Publishing, s.r.o.
Robots that have been optimized in simulation often underperform in the real world in comparison to their simulated counterparts. This difference in performance is often called a reality-gap. In this paper, we use two methods, genetic algorithm and topology optimization, to optimize a quadruped robot. We look at the original and optimized robots’ performance in simulation and reality and compare the results. Both methods show improvement in the robot’s efficiency, however the topology optimization behaves in a more predictable manner and shows similar results in simulation and in real laboratory testing. Modifying robot morphology with a genetic algorithm, although less predictable, has a potential for more improvement in efficiency.
David Krzikalla, Aleš Slíva, Jakub Měsíček, and Jana Petrů
Elsevier BV
Phu Ma Quoc, David Krzikalla, Jakub Mesicek, Jana Petru, Jakub Smiraus, Ales Sliva, and Zdenek Poruba
MDPI AG
The use of impact attenuators (IA) is important for vehicles as they absorb the kinetic energy exerted from the car crashes to protect the drivers from any possible injuries. Under the framework of the Formula Student (FS) competition, we investigate various designs of IA made of aluminum honeycomb material. Specifically, the crushing behavior of the honeycomb structure is investigated from the theoretical point of view and later verified with numerical simulations. To achieve the desired crushing behavior of the aluminum honeycomb structure, apart from the so-called pre-crushing method, another way to pre-process the aluminum honeycomb is proposed. Modification on the aluminum honeycomb is done in a symmetric manner to ensure the same uniform crushing behavior on the two sides of the mirror plane of the car. Different variations presented in this paper shed a light on future aluminum honeycomb IA designs in the context of FS competitions.