Hybrid Aluminium Metal Matrix Composites have gained a lot of attention in the industrial sphere due to their excellent mechanical properties and lightweight nature. However, machining these composites presents substantial challenges because of the variable mechanical properties across the bulk. Traditional machining, like drilling, calls for optimization of drilling parameters for ensuring high materia (…)
Additive technologies represent revolutionary manufacturing technology for many industries, enabling the rapid production of geometrically complex parts or components that replace multi-part assemblies. For those, additive technologies have become an important topic for industry and the military sector. The ability to 3D print parts in foreign operations with minimal manufacturing technology and other c (…)
This paper deals with experimental modal analysis of bolted storage tank, commonly used in many applications such as sewage treatment. Experimental modal analysis is crucial for the evaluation of dynamic properties, which helps with the assessment of wind-induced loads. Vortex shedding at specific wind speeds can excite natural frequencies, potentially causing damaging vibrations. Although the tanks hav (…)
Zirconium is used commercially for nuclear power generation and for increasing electricity output. However, its poor thermal conductivity may result in buildup of residual stress during machining, thereby affecting its machinability. This study investigates the temperature variation of zirconium alloy using Response Surface Methodology (RSM). Three process parameters were used during the milling operati (…)
The paper presents an analysis of the standardization process in the area of Additive Manufacturing (3D printing) technology in terms of both the technological process, qualifications of employees operating 3D printers and the safety of their operation. In addition, the article pays special attention to issues related to currently existing standards in the area of both research and typically industrial (…)
Robotic arms (RAs) are progressively advancing and extensively utilized across several industrial and research domains. In conjunction with that advancement, researchers have incorporated numerous intelligent algorithms to facilitate the RA’s obstacle avoidance strategy. The paper proposes the Deep Reinforcement Learning (DRL) method to control the RA to maneuver the ball on the workspace to a specified (…)
Material extrusion (MEX) is an additivive manufacturing technology (AM), which includes technique such as Fused deposition modeling (FDM) as well as similar Fused filament fabrication (FFF). The technology relies on thermoplastic materials with tailored mechanical properties to meet specific application requirements. This study investigates the extrusion and mechanical performance of polycarbonate (PC), (…)
This research explores how heat treatment influences both the mechanical properties and microstructure of Ti6Al4V alloy produced through additive manufacturing. The samples were produced using the selective laser melting (SLM) technique and analysed using evaluation equipment, including digital optical microscope, scanning electron microscope, X-ray diffractometer, compression tester, and hardness teste (…)
This study investigates the degradation of the mechanical properties of composite materials based on para-aramid fiber Twaron CT 747 due to prolonged exposure to sunlight. Composite samples were fabricated using three manufacturing technologies: vacuum-assisted resin transfer molding (VARTM), autoclave curing, and hot-pressing. The mechanical properties were characterized through uniaxial tensile testin (…)
Recent advancements in three dimensional (3D) printing technologies have transformed both industrial practices and everyday applications. In the biomedical domain, 3D bioprinting at the cellular and tissue levels has emerged as a promising approach with significant potential. Although machine learning (ML) has been successfully applied in various aspects of conventional 3D printing, including process op (…)
This study investigates the dimensional accuracy and detectability of parts manufactured by Fused Deposition Modeling (FDM) technology through multispectral imaging analysis. Experimental samples fabricated from PLA (Polylactic Acid) and translucent PLA/PHA (Polylactic Acid/ Polyhydroxyalkanoates) were examined to assess surface quality, with a focus on the geometric precision of fundamental shapes. Spe (…)
The research focuses on cyclic collisions of water droplets with a solid surface of titanium alloy Ti6Al7Nb in varying environments between the nozzle and the impacted surface. The source of repeated impacts is an ultrasonically driven pulsating water jet. Each experimental run consisted of repeated droplet impacts at a starting frequency of 20 kHz concentrated on a single point with variance in exposur (…)
The study deals with the evaluation of the laser-modified surfaces of the progressive Ti-based composite materials intended for dental implantology applications. Two powder metallurgy-processed experimental materials, namely Ti-TiB2 composite produced by the Spark Plasma Sintering (SPS) method and Ti-graphite composite produced by the Hot Vacuum Pressing (HVP) method, were investigated. The surface trea (…)
The article under consideration pertains to the study of the influence of selected process factors of surface pretreatment on the quality of cataphoresis coating. The present study is focused on the evaluation of the length of cracks formed during mechanical stress (i.e., the bending test), which serve as an indicator of the adhesion and integrity of the formed coating. The present study investigates th (…)
The calibration process is an important part of the preparation for eddy-current testing (ECT) of different materials and the subsequent creation of identification methodologies, which need to be specifically related to certain probes. The paper describes an experiment focused on the preliminary study of Inconel 718 alloy, during which parameters of three selected probes are evaluated. The main objectiv (…)
Metaheuristic optimization methods are extensively employed to address complex real-world problems, but problems like premature convergence and poor search persist. Reptile Search Algorithm (RSA) is a new nature-inspired optimization method founded on the cooperative hunting strategy of crocodiles. This review offers an in-depth examination of RSA, examining its theoretical roots, mathematical modelling (…)
This study investigates the influence of material properties and processing conditions on the crack length of electrophoretic coatings on cold-rolled low-carbon steel. The selected steel, identified by VDA239-100 CR4 and CR5 and DIN EN 10130 DC05 and DC06 standards, features a low carbon and titanium content, offering improved plasticity and mechanical properties. The bending test, conducted according t (…)
Surface roughness measurement is key for understanding fundamental interactions at the microscopic level and designing and optimising the surface in a wide range of applications, including tribology, adhesion, and overall performance of components in specific environments. ISO standards specify the methodology for the surface roughness measurements. However, these measurement methodologies are updated f (…)
In mathematics education, geometry presents students with greater difficulties than other mathematical content, and one of the main reasons for this is the development and ability of visualization. Visualization refers to the ability to present ideas, information and concepts through graphical or pictorial representations. Many empirical studies as well as theoretical statements, for example van Hiel's (…)
ANN-based predictive models are becoming increasingly popular in machining technologies. Our research focused on the potential applications of AI-based predictive models in micro-milling, using a dataset from a cutting experiment designed to analyze the tool life. This dataset was previously utilized solely to develop traditional regression models, so our goal was to create an Artificial Neural Network (…)
Among the finishing machining operations, burnishing is an economical process with a low environmental impact. In special cases, grinding can be replaced by burnishing, creating the same roughness with a much lower environmental load. The purpose of the study was to determine the effect of the technological parameters of the burnishing process on the surface roughness and hardness. The hardening experim (…)
The advancement of Artificial Intelligence (AI) in manufacturing begins with the Fourth Industrial Revolution. AI allows manufacturing with efficiency optimization, product quality improvement, cost reduction, and ease of real-time predictive maintenance. The topic is clearly stated in the literature. However, it fails to note the turning operation and quality optimization. This review attempts to clari (…)
This study explores vibration diagnostics and balancing techniques for grinding wheels using non-contact measurement technologies. It focuses on the impact of static balancing on vibration reduction, measured with a laser interferometer for high-frequency resolution. Theoretical foundations of technical diagnostics and the application of FFT (Fast Fourier Transform) for vibration analysis are discussed. (…)
This study investigates the microhardness and mechanical properties of thin coatings applied to cemented carbide cutting tools. Two primary coating techniques were examined: Physical Vapor Deposition (PVD) and Moderate Temperature Chemical Vapor Deposition (MT- CVD). PVD coatings of titanium carbonitride (TiCN) and aluminium titanium nitride (AlTiN) were applied, along with multi-layer CVD coatings cons (…)
This paper investigates the wear of a coated wire electrode during the WEDM process. The electrode used was a multi-layer coated wire with a copper core and a special GAMA Cu5Zn8 alloy coating. The electrode was electrolytically coated. The machined material was a K-grade cemented carbide rod with a diameter of 25 mm. Experiments were conducted on a Charmilles Robofil 310 machine. Electrode wear was eva (…)
This study introduces an innovative Plasma Discharges in Electrolyte (PDE) as a novel method for cutting edge preparation of cemented carbide tools. Unlike traditional abrasive methods, PDE removes material through localized discharges in a vapor–plasma envelope, enabling non-contact edge rounding. The aim of the article is to evaluate observed parameters such as voltage, current, cutting edge radius du (…)
The article investigates the impact of cutting edge radius and cutting parameters on the surface roughness and microhardness of austenitic stainless steel (AISI 321) during external turning. Experiment was performed for cemented carbide cutting inserts with cutting edge radii of 5 µm, 18 µm, and 50 µm. Cutting edge with radius size of 5 µm had sharp cutting edges containing small chamfers and burrs of a (…)
This study focuses on the theoretical design of a lightweight screw extruder for robotic additive manufacturing (AM). The primary objective is to enhance material flow control, minimize extruder weight for seamless robotic integration, and improve thermal efficiency. A mathematical model is used to analyze material transport, pressure distribution, and extrusion rate stability. Key design parameters, in (…)
This article presents a new method for assessing the crack resistance of modern building structures using the example of predicting the service life of a critical element in a residential building. One of the key aspects of evaluating the durability of damaged structures is analyzing the dynamics of crack width changes. Measuring the crack width makes it possible to assess the degree of degradation of l (…)
This article provides a mathematical description of the working process of a promising gas seal, which operates with performance characteristics similar to those of the latest gas-dynamic seals but uses a completely different principle of creating the gas barrier, preventing leakage of the pumped product from the pump at the outlet its rotating rotor from the casing. The proposed mathematical dependenci (…)
Recent shifts in Europe's security landscape driven by evolving hybrid warfare tactics require innovative solutions for real-time threat detection. This paper presents a security concept leveraging Beyond Visual Line Of Sight (BVLOS) drone flights combined with state-of-the-art YOLO-based object detection to enhance surveillance capabilities. By integrating advanced drone technology with AI-driven video (…)
The article deals with the issues of modification and optimization of the manipulation process using a collaborative robot Fanuc in the RobotGuide environment. The collaborative robot is equipped with a combined effector containing two double-jaw pneumatic grippers and a vacuum effector. The robot performs the manipulation process based on the selection via the operating touch panel, where it is possibl (…)
Die casting is a process of injecting molten metal into a metal die under high pressure. The die design, the gating system, venting, and cooling play a crucial role. The quality of the castings is also influenced by pressure, injection speed, and the alloy composition. The experiment studied the impact of die-filling modes on the mechanical properties of castings made from silumin according to CSN 42 43 (…)
The paper addresses the diagnostic assessment of operational conditions of gear components in winding head drives of cable winding machines using vibration analysis methods. Vibration diagnostics is a key tool for monitoring the technical condition of rotating machinery, enabling early detection of gear damage without dismantling components. The research aimed to analyze correlations between vibration p (…)
The efficiency of the Carnot cycle of a heat engine is the highest possible theoretical efficiency. Real heat engines, despite the great efforts of design teams, barely achieve half of the theoretical thermal efficiency. This significant difference is generally attributed to imperfect heat exchange and frictional resistances of the machine. One can only agree with this opinion to a certain extent. The d (…)
Agile project management is gaining influence across various industries and is gradually replacing the traditional waterfall approach. It enables flexible adaptation to change, delivers outputs in shorter intervals, and addresses deficiencies in real time. The aim of this paper is to present a methodology for measuring the maturity of agile project management in industrial enterprises. The methodology i (…)
The aim of this paper is to determine the strain hardening limit of aluminium alloy AA1050-O using the critical effective strain value as determined by the ductile fracture criterion proposed by Cockroft-Latham. A numerical simulation of the Erichsen cupping test using the Cockroft-Latham ductile fracture criterion was performed to predict the onset of necking. To verify the prediction of necking, an ex (…)
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