Manufacturing Technology Journal - Latest articles
Results 31 to 60 of 189:
Study on Material Performance Calculation and Rolling Process Simulation of 35W210X Advanced High Strength Silicon Containing Steel
Tie Ye, Boran Chen, Zetian Li, Zhenyu Gao, Kuibo Liu, Zheng Ren
Manufacturing Technology 2025, 25(4):549-558 | DOI: 10.21062/mft.2025.055 
This study used JMatPro software to comprehensively analyze the new low-iron-loss cold-rolled non-oriented high-grade electrical steel 35W210X, calculating phase composition, Gibbs free energy, stress-strain relationships, and yield strength changes. Results showed its ferritic structure and consistent calculated room-temperature yield strength with experiments. To study production cracks, JMatPro data was used in Deform-3D to simulate the five-pass reciprocating cold rolling on a Sendzimir 20-roll mill, successfully replicating the cracks. Aiming at the problems of frequent cracking and low yield rate (<50%), the study found the original single...
Influence of Selected Heat Treatment on Alloy Properties of Ti–6Al–4V Alloy
Roman Horký, Sylvia Kuśmierczak, Tomáš Vlach
Manufacturing Technology 2025, 25(4):482-488 | DOI: 10.21062/mft.2025.054
Titanium is the polymorphic metal whose recrystallization temperature significantly affects its final properties. The area between 850 °C and 995 °C is a very important area from the point of view of heat treatment of titanium alloys. It is a transition area just below the β transition limit. This article deals with the analysis of the influence of thermal loading on the change in tensile strength and fracture behavior of titanium alloys in comparison with thermally unloaded samples. Monitoring of fracture surfaces and description of the internal structure of the material.
AI-Integrated Thermal Prediction and Multi-Criteria Optimization in Cylindrical Grinding Using Machine Learning and Genetic Algorithms
Maya M. Charde, Yogesh J. Bhalerao, Lenka Cepova, Sharadchandra N. Rashinkar, B. Swarna
Manufacturing Technology 2025, 25(4):432-447 | DOI: 10.21062/mft.2025.053
The paper focuses on the application of machine learning techniques and optimization algorithms in predictions and controls of grinding temperature variations. The major thrust of investigation has been on how the different input conditions such as feed, depth of cut, and cooling conditions influence grinding temperatures and the effectiveness of these conditions on the control of their thermal effects. Three machine learning models: Random Forest (RF), Gradient Boosting (GB), and Artificial Neural Networks (ANN) were then used to develop prediction models for the grinding temperature on both face and shoulder of the workpiece. Out of all the models,...
Analytic Solution of the Motion Equations of the Rolling Stock Chassis Incorporating the Effect of Asymmetry and Kinematics Excitation
Blanka Skocilasova, Frantisek Klimenda, Jan Skocilas, Tereza Jarosova
Manufacturing Technology 2025, 25(4):531-539 | DOI: 10.21062/mft.2025.052
The article provides an analytical solution for the dynamics of a vehicle chassis designed for both road and rail operation, featuring either single or multiple primary linear suspensions using coil springs. It derives the equations of motion for a simplified two-axle chassis model that includes both a basic primary suspension and a simplified chassis suspension. The study focuses on the simplest calculation model to analyze suspension behavior, taking into account the asymmetry in spring stiffness and geometric positioning. There is an unequal distribution of weight across the vehicle body. An analysis is conducted on a comprehensive vehicle model...
Research on Stator Thermal Fault Detection of Steam Turbine Generator Based on Improved Transformer and Gaussian Mixture Model
Fengqin Cheng, Weinan Zheng
Manufacturing Technology 2025, 25(4):448-454 | DOI: 10.21062/mft.2025.051
This study proposes a multi-stage intelligent diagnostic approach integrating Physics-Guided Normalization (LPGN), enhanced Transformer networks, and Gaussian Mixture Models (GMM) for thermal fault detection in turbine generator stators. The methodology sequentially performs the following steps: (1) enhances localized anomaly features in temperature data through LPGN, (2) efficiently extracts temporal patterns via the optimized Transformer architecture, and (3) achieves unsupervised fault classification using GMM. Experimental results demonstrate the proposed method's superiority over conventional ARIMA and LSTM models across multiple evaluation metrics,...
Overcoming Rotary Mechanism Limitations in CNC Machines: A 3-PRS Approach
Rudolf Madaj, Matúš Vereš, Róbert Kohár, Peter Weis, Filip Šulek
Manufacturing Technology 2025, 25(4):500-510 | DOI: 10.21062/mft.2025.050
This paper presents the design and analysis of a 3-PRS mechanism for positioning cutting heads in CNC machines, addressing limitations of traditional rotary mechanisms such as hose twisting, wear, and limited modularity. Kinematic and dynamic analyses guided actuator selection and confirmed bearing durability. The mechanism achieves a favourable load-to-weight ratio and integrated Z-axis movement, making it suitable for simpler gantry CNC machines. Though programming is complex due to multiaxis synchronization, the modular design supports easy adaptation to different tools. Future research will focus on reducing the eccentric torch offset and refining...
Novel Multi Levels Tool Based on Rotating Ballizing Technique to Manufacturing the Externally Toothed Components an Experimental Study
Eman S. M. Abd-Elhalim, Emad A. Fahmy, Mohamed N. El-Sheikh, Ahmed M.I. Abu-Oqail, Hammad T. Elmetwally, Ayman Ali Abd-Eltwab
Manufacturing Technology 2025, 25(4):460-468 | DOI: 10.21062/mft.2025.049
Externally toothed components have a very crucial and essential role in all areas of production and manufacturing because they function as away of transmitting motion, energy, and power in all indus-trial applications, such asmodes of transportation, aviation, aerospace, equipment, and operating machines like lathes and milling. All machines have a gear box. Therefore, it is receiving increasing attention. This research presents a new multi-stage rotary ballizing technology for producing toothed parts in one stroke. This process has been investigated experimentally. The parameters that were ex-amined experimentally was at the optimal conditions for...
Fault Diagnosis of Electric Motor Rotor Systems Based on Feature Extraction and CNN-BiGRU-Attention
Mei Zhang, Zilong Sun, Wenchao Zheng
Manufacturing Technology 2025, 25(4):559-568 | DOI: 10.21062/mft.2025.048
To enhance the accuracy of fault diagnosis (FD) in motor rotor systems, this study introduces a novel method that leverages feature extraction (FE) combined with a CNN-BiGRU-Attention deep learning model. Initially, the time-domain features of the vibration signals are extracted using Variational Mode Decomposition (VMD), which also effectively denoises the data. Subsequently, the frequency-domain features of the vibration signals are extracted via Fast Fourier Transform (FFT). The aggregated features are then fed into the CNN-BiGRU-Attention model to perform fault classification. In this model, the Convolutional Neural Network (CNN) module extracts...
Optimizing Process Parameters during the Creation of Powder Laser Weld Cladding Coatings from a Nickel Alloy
Martin Švec, Libor Dvořák
Manufacturing Technology 2025, 25(4):540-548 | DOI: 10.21062/mft.2025.047
Nowadays, increasing emphasis is placed on the production of parts using additive technologies, particularly for alloys that are difficult to process. In addition to standard additive technologies, such as Selective Laser Melting (SLM), other additive technologies are increasingly being used, including Directed Energy Deposition (DED). DED offers several advantages and is utilized both for producing entire components and for repairing damaged parts through weld cladding. In this study, the possibility of weld cladding of nickel-based hard alloys using DED was tested using a laser as the energy source to melt the additive material. The tests performed...
Crack Detection and Monitoring of their Growth in Critical Parts of Steam Pipeline by Electric Potential Drop Method
Petr Živný, Jindřich Jansa, Marek Měkuta, Pavla Lukášová
Manufacturing Technology 2025, 25(4):569-574 | DOI: 10.21062/mft.2025.046
An innovative way of using DCPD (Direct Current Potential Drop) method for off-line and online monitoring of critical parts of energy equipment in operation is presented. There are only a few NDT methods that allow detection and monitoring of defect growth in components at high temperatures and pressures. Monitoring of steam pipes and critical pipeline components in operation has been carried out for several years with different results. a relatively new way of using the DCPD method outside the laboratory is described. The carried-out tests were intended to resemble operational loads as much as possible. Therefore, the tests were performed at a temperature...
Surface Treatment of Nylon Filters with Thin Layers of Ti, Cu, and Zr Metals and AgCu Alloys using PVD Magnetron Sputtering Technology
Anna Krobotová, Totka Bakalova, Michal Krafka, Magdalena Mrózek, Lucie Svobodová, Pavel Kejzlar, Blanka Tomková
Manufacturing Technology 2025, 25(3):348-356 | DOI: 10.21062/mft.2025.045
The development and characterizing of thin layers of AgCu, Cu, Ti, and Zr on nylon filters using PVD magnetron sputtering technology was conducted. The evaluation of these thin layers was mainly focused on characterizing specific parameters that may influence the expected functionality of the modified filter materials. The surface treatment of nylon filters with thin layers does not significantly affect the mechanical properties of the original nylon material. Thin layers deposited at a power of 0.9 kW exhibited greater thickness and lower static friction coefficient values than the layers deposited at 0.4 kW, except for a thin layer of the element...
Analysis of the Influence of Preparation Technology on the Structure and Properties of the CuZn10 Alloy
Anna Knaislová, Jakub Kabrle
Manufacturing Technology 2025, 25(3):318-330 | DOI: 10.21062/mft.2025.044
The CuZn10 alloy, a prominent brass variant known for its excellent cold formability, corrosion resistance, and suitability for various cold forming processes such as bending and stamping, finds widespread application across numerous industries. Optimizing its performance for specific industrial demands necessitates a thorough understanding of how different preparation technologies influence its intrinsic properties. This study provides a comprehensive examination into the impact of various processing routes on both the structural evolution and mechanical characteristics of deep-drawing CuZn10 brass. Utilizing advanced analytical techniques, including...
Frequency Dependence of Glass Transition Temperature of Thermoplastics in DMA Analysis
Marcel Kohutiar, Zbyněk Studený, Michal Krbata, Milan Jus, Pavol Mikuš, Ingrid Kovaříková
Manufacturing Technology 2025, 25(3):341-347 | DOI: 10.21062/mft.2025.043
The aim of this study is to investigate the effect of oscillatory loading frequency on the dynamic-mechanical properties of 3D printed thermoplastics, namely acrylonitrile-butadiene-styrene (ABS), glycol-modified polyethylene terephthalate (PETG), and polylactide, also known as polylactic acid (PLA). The investigated samples were manufactured using fused filament fabrication (FFF) technology and tested at different oscillation frequencies (1, 5, 10, 15 and 20 Hz). Dynamic mechanical analysis (DMA) demonstrated that an increase in the oscillation frequency causes an increase in the glass transition temperature (Tg) for all analyzed materials, while...
Effect of Brass Solder Composition on Quality in Laser Welding of Solar Panel Busbar
Wei Xiaohua, Zheng Mingliang
Manufacturing Technology 2025, 25(3):424-430 | DOI: 10.21062/mft.2025.042
In order to reveal the action mechanism of different brass solder compositions on the microstructure of weld joints in unleaded-tin-coated coppers brazing-stitch welding, the laser welding process of solar panel busbar was studied by using three different coated brass solders: Sn-37Bi-3Ag, Sn-42Bi-3Ag and Sn-47Bi-3Ag. Scanning electron microscope, energy spectrometer, X-ray diffractometer, tensile testing machine and Vickers microhardness tester were used to test and analyze the influence of Bi element content on the microstructure and mechanical properties of weld joints in solar panel busbar brazing-stitch welding. The results show that: (1) With...
Process Prediction and Force Measurement of Hot Rolling Process for 6061 Aluminum Alloy Wire
Jinn-Jong Sheu, En-Hsuan Chien
Manufacturing Technology 2025, 25(3):383-395 | DOI: 10.21062/mft.2025.041
This study examines the two-pass hot rolling process of 6061 aluminum alloy wire, focusing on forming load measurement to evaluate process stability and its effects on dimensional accuracy and mechanical property uniformity. Using response surface methodology (RSM), process parameters and forming loads were analyzed to assess their influence on mechanical property distribution and verify the applicability of load measurement in process quality evaluation. A full-factorial finite element simulation was conducted to investigate the effects of pre-forming section reduction rate, material temperature, roll speed, and friction coefficient. Experimental...
Features of Locomotive Adhesive Mass Utilization in a Braking Mode
Stanislav Semenov, Evgeny Mikhailov, Oleksandr Spivak, Ján Dižo, Miroslav Blatnický, Martin Bučko
Manufacturing Technology 2025, 25(3):374-382 | DOI: 10.21062/mft.2025.040
The magnitude of a locomotive's traction and braking forces is directly related to its adhesive mass, which largely determines its tractive and braking characteristics. Therefore, an important task is to maximize the utilization of the locomotive's adhesive mass. The degree of adhesive mass utilization is determined by more factors and is quantitatively characterized by the Adhesive Mass Utilization Coeffi-cient (AMUC). One of the ways to increase the AMUC is to improve the locomotive's lever-type brake transmission. In braking mode, it interacts with the wheelsets and the bogie frame and may block the operation of the first stage of the suspension...
Thermal Analysis of Micro Plasma Wire Arc Additive Manufacturing Deposition Process
Siti Khairiyah Sulaiman, Mohd Rizal Alkahari, Mohd Juzaila Abd Latif, Yupiter Harangan Prasada Manurung, Keval Priapratama Prajadhiana
Manufacturing Technology 2025, 25(3):396-404 | DOI: 10.21062/mft.2025.039
Additive manufacturing (AM) is rapidly developing with emerging technology of wire arc additive manufacturing (WAAM) process due to its ability to manufacture large components and high deposition rate. However, WAAM faces mechanical properties problems like porosity, distortion, and strength due to the large heat affected zone (HAZ) from commonly used heat sources such as metal inert gas (MIG) and tungsten inert gas (TIG). Utilization of micro plasma as the heat source should reduce this problem since it has a smaller heat source diameter. Therefore, this study investigates the thermal distribution of micro plasma wire arc additive manufacturing (MPWAAM)...
Effect of Thermal Ageing on Changes in Modulus of Elasticity E Measured by Ultrasound, Bending Test and EBSD
Jana Vesela, Petr Beneš, David Bricín
Manufacturing Technology 2025, 25(3):405-412 | DOI: 10.21062/mft.2025.038
The materials used in VVER nuclear power plants are subject to thermal ageing in operation, among other degradation mechanisms. The aim of the experiment was to verify the effect of thermal ageing on the change of ultrasound velocity on the extracted parts of main circulation piping and pressurizer surge line made of austenitic steels. Two steel conditions were evaluated, as received and thermally aged. The research was carried out on samples made from non-operated pipelines and samples from pipelines after 28 years of operation. The samples were subjected to thermal ageing at 450 °C in an atmospheric furnace with a specified exposure time to simulate...
Influence of Surface Preparation on XRD Peak Parameters and Residual Stress Measurements
Pavel Salvetr, Aleksandr Gokhman, Jan Drahokoupil
Manufacturing Technology 2025, 25(3):357-365 | DOI: 10.21062/mft.2025.037
X-ray diffraction (XRD) is an analytical technique used to investigate the crystal structure properties of materials. However, the accuracy of XRD measurements can be significantly affected by the sam-ple's surface preparation. This study evaluates the impact of various surface preparation methods on the diffraction peak characteristics, phase composition, and residual stress analysis of two metallic materials: very low alloyed iron-based alloy labelled as pure iron and hardened 54SiCr6 steel. Various final steps of metalographic preparation of the surface for XRD were used, including mechanical grinding with coarse (P120) and fine (P1200) sandpapers,...
Titanium Alloy Turning Machining Model and Quality Analysis Based on Finite Element Analysis
Zhenhua Wang, Haifang Yin
Manufacturing Technology 2025, 25(3):413-423 | DOI: 10.21062/mft.2025.036
Workpiece fabrication of titanium alloy is widely used in several high-end fields. In this study, finite element analysis of titanium alloy turning process is carried out and the turning process is modeled by using material properties and intrinsic equations. Then the power transmission of centerless lathe is controlled in the machining process, so as to obtain the performance calculation of different process parameters on cutting force, chips, and residual stress. The analysis of the simulation and experimental data yielded that when the tool travel speed was 1 m/min, the radial force increased to a maximum value of 150N. When the depth of cut was...
The Effect of Annealing Conditions on Copper's Brittleness and Powder Production Efficiency
Falah Mustafa Al- Saraireh
Manufacturing Technology 2025, 25(3):366-373 | DOI: 10.21062/mft.2025.035
Recycling copper wire to produce the correct copper powder extends the environmentally friendly alternative to traditional refining techniques. That exploration research uses different annealed envi-ronments to regulate the embrittlement and ease of the crunch of the copper wire, with a particular focus on the variations in temperature and the consequences of the atmosphere. The study included heat conductor copper wire in the wind and a synthesis gas mixture (40 % H2, 60 % N2) within a tem-perature range of 250 °C to 850 °C with a duration of either 30 or 60 minutes. Several trials were carried out to measure the influence of the treatment, including...
Analysis and Optimization of Horizontal Centrifugal Casting Process for Thick Walled Alloy Layers in Tilting Pad Bearings
Ye Jun, Jin Jing, Wang Guobiao, Xu Zhaohui, Guo Huangsha
Manufacturing Technology 2025, 25(3):307-317 | DOI: 10.21062/mft.2025.034
The optimization of process parameters plays a critical role in controlling temperature and velocity fields during centrifugal casting, which is essential for mitigating shrinkage porosity defects caused by uneven cooling in thick walled bearing alloy layers. In this study, two sequential numerical models were devel-oped using ProCAST software to simulate gravity filling and centrifugal solidification stages. The effects of key parameters, including inlet cross-sectional area and centrifugal rotational speed, on flow field characteristics were systematically analyzed. By using an orthogonal experimental design, we deter-mined the optimal parameters:...
Comparison of Bearing Surface Quality Parameters for Wind Turbines
Mariana Janeková, Daniela Koštialiková, Dana Bakošová, Andrej Dubec, Alžbeta Bakošová, Jana Králiková
Manufacturing Technology 2025, 25(3):297-306 | DOI: 10.21062/mft.2025.033
The thesis deals with the surface treatments of bearing steel processed for wind turbines, on which the quality parameters of the surface treatments performed were compared. This is blackening, which is a method of surface treatment that allows the protection of the base material from the negative effects of external influences, in particular from moisture and associated corrosion. The application of surface treatment by blackening contributes to a better and more efficient start-up of the bearing in service. In the experimental part, the individual results of the structural analysis carried out for all types of materials investigated are evaluated,...
Quality Prediction of Spheroidal Graphite Cast Iron for Machine Tool Parts
Jan Bredl
Manufacturing Technology 2025, 25(3):287-296 | DOI: 10.21062/mft.2025.032
Today, considerable attention is paid to the production of solid castings (approx. 2000 kg) from cast iron with spheroidal graphite. The metallurgical preparation of large quantities of melt is very difficult. This difficulty is related not only to the melting and preparation of large quantities of melt, but above all to its metallurgical treatment - inoculation and modification. Melt modification ensures the production of cast iron with spheroidal graphite. Material castings, such as machine tool components, cannot be destroyed to determine the quality of the cast iron produced. Therefore, this paper outlines a methodology to proceed in determining...
Methodology for Comprehensive Testing and Optimization of Gears for Torsional Strength
Paweł Knast, Jana Petrů, Stanislaw Legutko, Lubomir Soos, Marcela Pokusova, Przemysław Borecki
Manufacturing Technology 2025, 25(3):331-340 | DOI: 10.21062/mft.2025.031
The article described a new methodology for testing the torsional resistance of a single-stage gear transmission used in agricultural machinery. The analysis encompassed the entire mechanical system rather than focusing solely on its individual components. The research identified three key ranges of structural resistance. The first range, with twist angles from 0° to 1.85° and torques up to 1050 Nm, was associated with the elimination of structural play and the alignment of contact surfaces. The second range, from 1.85° to 4.76° and torques up to 3450 Nm, confirmed the resilient behavior of the gearbox according to Hooke's law. In this range, the system...
Milling Performance of Selective Laser Melted Ti6Al4V: A Taguchi Approach for Surface Roughness Optimization
Ikhsan Siregar, Juri Saedon, Mohd Shahriman Adenan
Manufacturing Technology 2025, 25(2):230-238 | DOI: 10.21062/mft.2025.030
Titanium alloy Ti6Al4V fabricated using Selective Laser Melting (SLM) has gained significant attention in biomedical and aerospace applications due to its superior mechanical properties and design flexibility. However, its machining characteristics, particularly in milling, remain challenging due to the material's hardness and thermal conductivity. This study investigates the milling performance of SLM-manufactured Ti6Al4V by optimizing surface roughness using the Taguchi method. An L9 orthogonal array was employed, considering spindle speed, feed rate, and depth of cut as control factors. Surface roughness measurements were analyzed using Signal-to-Noise...
Research on Gradient Temperature Rolling Process and Deformation Uniformity of 10Ni5CrMoV Heavy Plate
Weiwei Wang, Baoshan Wang, Hongliang Zhang
Manufacturing Technology 2025, 25(2):265-272 | DOI: 10.21062/mft.2025.029
In order to solve the problem of heterogeneous deformation in the rolling process of 10Ni5CrMoV heavy plate, the effects of uniform temperature rolling (UTR) and graded temperature rolling (GTR) on the microstructure and deformation uniformity of 10Ni5CrMoV steel were studied by means of numerical simulation and verification experiment, and the strengthening mechanism of high permeability rolling process on the rolling deformation of 10Ni5CrMoV heavy steel was clarified. The results show that compared with the uniform temperature rolling process(UTR), different gradient temperature rolling processes (GTR) make the deformation area gradually expand...
A Synthetic Geometric Performance Index for Parts Manufactured by VAT Photopolymerization
Valentina Vendittoli, Wilma Polini, Walter Michael Simon Josef, Giovanni Moroni
Manufacturing Technology 2025, 25(2):244-251 | DOI: 10.21062/mft.2025.028
Geometric deviations play a crucial role in the quality of additive manufacturing, particularly in parts made with biodegradable resins. Accurately controlling dimensional and geometric variations in manufactured components is critical for achieving defect-free production and meeting functional standards. However, defining a final quality score can be challenging due to numerous dimensional and geometric deviations associated with a part. An innovative metric for evaluating geometric performance was created to measure dimensional precision in components produced through VAT photopolymerization. The index measures the dimensional and geometrical deviations,...
Study on the Effect of Aging Treatment on the Microtexture and Mechanical Properties of 6111 Aluminum Alloy
Jiechen Li, Yongqiang Pan, Quan Kang, Zhi Jia
Manufacturing Technology 2025, 25(2):215-221 | DOI: 10.21062/mft.2025.026
The effects of aging treatment temperature of 250°C on microstructure, mechanical properties characteristics of 6111 aluminum alloy sheet were investigated by mechanical testing, scanning electron microscopy, electron backscatter diffraction and other analytical methods. The results show that the aging treatment temperature has a significant effect on the yield strength of cold rolled 6111 aluminum alloy, and appropriate heat treatment can significantly improve the work-hardening properties of rolled 6111 aluminum alloy. The rolled sheet without heat treatment aging shows the highest strength values, with the yield strength reaching 140.2 MPa and the...
Process Optimisation for Orthogonal Testing of Shot Peening Based on Secondary Development of ABAQUS
Anheng Wang, Shangqi Duan, Wei Zhang, Fan Li
Manufacturing Technology 2025, 25(2):252-264 | DOI: 10.21062/mft.2025.027
This study centers on 7B50 aluminium alloy. The intention is to reduce the pre-treatment and post-treatment times of the shot peening model. By comparing and analyzing different process parameters, the best combination of peening solutions can be obtained. The pre-processing is implemented through a GUI interactive interface. Post-processing is carried out by using Python for secondary development in ABAQUS. Orthogonal test method is employed for post-processing analysis of shot peening simulations under various process conditions. The results are evaluated by using a weighted composite scoring method to determine the depth of the residual compressive...