Hasil untuk "Engineering machinery, tools, and implements"

Gábor Dogossy, Ferenc Szauter

The Second Sustainable Mobility and Transportation Symposium (SMTS 2025) took place in Győr, Hungary, from 16 to 18 October 2025 [...]

Yasmine El Belghiti, Abdelfattah Mouloud, Samir Tetouani et al.

The main thrust of the study is the need to cut down the time taken for mold changes in plastic injection molding which is fundamental to the productivity and efficiency of the process. The research encompasses Lean Manufacturing, DMAIC, and SMED which are improved using fuzzy logic and AI for rapid changeover optimization on the NEGRI BOSSI 650 machine. A decrease in downtime by 65% and an improvement in the Process Cycle Efficiency by 46.8% followed the identification of bottlenecks, externalizing tasks, and streamlining workflows. AI-driven analysis could make on-the-fly adjustments, which would ensure that resources are better allocated, and thus sustainable performance is maintained. The findings highlight how integrating Lean methods with advanced technologies enhances operational agility and competitiveness, offering a scalable model for continuous improvement in industrial settings.

Ayoub Abida, Mourad Zegrari, Redouane Majdoul

Given the environmental threats, the adoption of green and clean mobility is crucial for decarbonizing the mobility sector. Green mobility will bring a mass integration of electric vehicle charging stations (EVCSs) to ensure sufficiency for electric vehicle (EVs) users. To achieve this, intelligently distributing the charging load of EVs is essential to prevent stress on local electrical grids. The uneven distribution of EV charging at specific EVCSs leads to load imbalances compared to underutilized stations, necessitating dynamic load-balancing (in real time) mechanisms to optimize grid demands and prevent overloading. To address this challenge, the authors propose an algorithm for balancing EV loads at EVCSs using dynamic charging prices. This algorithm is intended to be integrated into the OCPP. Simulation results indicate that lower pricing at Station A (0.22 $/kWh) attracts more users, reducing congestion at higher-priced Stations B (0.31 $/kWh) and E (0.29 $/kWh). The proposed model encourages users to utilize less crowded stations, achieving a fairer distribution of EV charging demand while providing cost benefits to users selecting those stations.

Andrea Ciula, Gianluca Rubino, Pierluigi Fanelli

Gyroid-based mechanical metamaterials have garnered increasing attention for their unique mechanical properties, particularly in applications involving complex stress environments. This study focuses on the mechanical characterization of the gyroid cell, a member of the Triply Periodic Minimal Surfaces (TPMS) family, through both experimental and numerical analyses. Three different gyroid morphologies were generated by varying a single parameter in the parametric equation of the gyroid surface. Specimens were fabricated by 3D printing based on Liquid Crystal Display (LCD) technology, and compression tests were conducted to measure the equivalent Young’s modulus. Numerical models developed using Finite Element Method (FEM) analysis were validated through the experimental findings. The results indicate a good correlation between the experimental and numerical data, particularly in the linear elastic region, confirming the suitability of FEM simulations in predicting the mechanical response of these cellular structures. The study serves as a foundational step towards a broader multi-physical characterization of TPMS-based metamaterials and paves the way for the future development of tailored metamaterials for specific applications, including sacrificial limiters in plasma-facing components of Tokamaks.

Nonsikelelo Sheron Mpofu, Elzbieta Stepula, Uwe Güth et al.

Electrospinning is a technique to produce nanofiber mats for diverse applications. In biomedicine in particular, the addition of an antibacterial agent can be advantageous. Here, we report on the needleless electrospinning of nanofiber mats using poly(acrylonitrile) (PAN) blended with different mushroom mycelium powders, which have antibacterial and other functional properties. While PAN blended with <i>Pleurotus ostreatus</i> (oyster mushroom) powder could be electrospun well, PAN blended with <i>Ganoderma lucidum</i> (reishi mushroom) powder was nearly impossible to spin. The PAN/<i>P. ostreatus</i> nanofiber mats showed a morphology after electrospinning similiar to pure PAN; however, the carbon yield was lower. This indicates the possibility of embedding <i>P. ostreatus</i> powder in PAN nanofiber mats for biotechnological or biomedical applications.

Carlo Giudicianni, Enrico Creaco

In this work, the impact of the actual pulsed nature of demand on the water quality sensor placement problem was investigated. The optimization was carried out by minimizing alternatively the extent of contamination and exposed population to ingestion by considering two alternative demand modelling conditions: (i) a smooth top-down deterministic approach (TDA), and (ii) a pulsed demand bottom-up stochastic approach (BUA). An Italian water distribution network was tested, and results show that the contamination extension and sensor locations are affected by demand modeling and that monitoring system performance may be overestimated if the deterministic approach is used, leading to dangerous management choices.

Teodor Iliev, Ivaylo Stoyanov, Grigor Mihaylov et al.

The rapid emergence of the 5G networks has posed a number of new planning problems, which should be carefully analyzed to optimize the installation of the new technologies and to integrate them into the existing mobile network. The main planning objectives are to build up a network satisfying the expected traffic demands in its various sections, in compliance with the performance quality targets suggested by international committees International Telecommunication Union (ITU), Comité Consultatif International pour la Radio (CCIR), etc. The following paper discusses some of the main aspects which should be evaluated in the planning stage of 5G radio relay transmission, such as traffic capacity, propagation problems, and interference problems.

Rui Alves, Paulo Matos

Nowadays, flying is a fundamental part of society. Traveling is increasingly accessible, which supports not only the aeronautical industry but also the tourism sector in some regions around the world. However, despite its importance in society in general, where there are more and more airplanes in the air, the aviation industry has also become one of the primary sources of pollution, and when considering entertainment aviation, the problem becomes even more complicated. In recent years, all aeronautical manufacturers have been working on solutions that reduce the sector’s impact on climate change. Landings are of particular importance in the fuel consumption aspect, especially if it is taken into account that for various reasons a pilot may decide to abort the maneuver, meaning a few more kilos of fuel that will be consumed consequently making more pollution. The present work suggests an architecture based on the history of successful landings providing the pilot suggestions to reduce the probability of a go-around.

Abdul Basit, Aimal Daud Khan, Adnan Daud Khan

In this study, the viability of the commercial production of ambient air perovskite solar cells is investigated. In order to address issues with overlapping and non-uniform layers and minimize recombination losses, this study suggests a novel device architecture. A 2 × 2cm² perovskite solar cell with a 4.2% power conversion efficiency (PCE) was successfully created utilizing a straightforward screen-printing technique. After humidity treatment, the short-circuit current (jsc) and open-circuit voltage (Voc) were stabilized at 5.36% due to layer optimization. These results show the potential for the widespread industrial production of more durable and efficient perovskite solar cells.

Koushik Chakraborty, Dhiraj Kapila, Sumit Kumar et al.

The Internet of Things (IoT) and machine learning provide insights that would otherwise be hidden in data for quicker, automated responses and improved decision-making. By ingesting images, videos, and audio, machine learning for the Internet of Things can be used to predict future trends, identify anomalies, and enhance intelligence. The IoT organic framework comprises millions of sharp objects, and to form these sharp objects to communicate and work suitably, asset tasks are necessary. Protection of the quality of service (QoS) is one of the diverse reasons that resource tasks ought to be performed. These techniques aid accomplices in choosing tasks resulting in preeminent regard and impact. Prebuilt software-as-a-service (SaaS) applications, called IoT Cleverly applications, can use dashboards to analyze and display data from IoT sensors. If one of the devices is hacked, the security of every other device in this chain is compromised. This can possibly result in second thoughts about a security plans. A user can see key execution indicators and measure the time between data entries by using IoT dashboards and alarms. Calculations based on machine learning can find peculiarities in equipment, notify customers, and even start robotized repairs or proactive countermeasures. AI and Profound Learning resemble managing a real workplace issue such as marking by combining a few innovations that enable constant naming.

Robert Nafz, Caroline Schinle, Christian Kaiser et al.

New digital technologies, the internet age, and ever-increasing customer expectations are changing industries worldwide. Companies in the apparel industry must digitally transform to remain competitive. Traditional approaches will no longer work in the face of change because digital transformation is inevitable, irreversible, enormously fast, and unfortunately marked by challenges in implementation and uncertainties in execution. However, it also brings many benefits for which it is worth striving for the complete digitization of the value chain. This research paper aims to clarify the benefits and challenges companies face in digital transformation. For this purpose, it shows a report on the current state of digitalization in the apparel industry. The article ends with an approach on the implementation of digitization in the apparel companies.

Kota ASAUMI, Kuniharu USHIJIMA

In this paper, the bending collapse behavior of sandwich U-shaped beam with lattice core has been investigated by using finite element analysis. In particular, the effects of geometric properties of lattice core and faceplate on the maximum bending moment Mmax and the critical angle θcr were discussed. The existence of lattice core could prevent the elastic buckling of the surrounding U-shaped beam, and enhance Mmax to the fully plastic moment of these plates. Based on numerical investigation, the mode map for θcr was obtained as a function of the relative thickness of the plate t/h and the relative density of the lattice core ρ/ρs.

Masato INOUE, Shuho YAMADA, Shogo MIYAJIMA et al.

To utilize the residual value, which remains an idle asset and disposed product based on the circular economy package, the definition or clarification of such a value and the development of a scheme for such a reutilization is essential. In addition, to facilitate an efficient utilization of the residual value, a product or its components needs to be designed considering its future reuse, remanufacturing, and upgrading. When companies monitor product usage using the Internet of things, they can make proposals to users of appropriate lifecycle options such as reuse, remanufacturing, and upgrading and such proposals are conductive to customer retention for these companies. Therefore, an ideal situation is one in which the product is appropriately modularly designed and its components will be reused in an upward product or another product family or be recycled at the end of life. A designer needs to consider resource efficiency not only in the reuse stage but also in the production and procurement stages. In addition, a company that designs and manufactures products needs to strive for the simultaneous attainment of cooperate social responsibility, higher profits, and higher user satisfaction. Therefore, proper supplier selection is necessary because products currently consist of many components and modules manufactured by various companies. This study proposes a modular design and a strategic evaluation method based on the viewpoint of supply chain management considering sustainability and supplier selection simultaneously. In particular, the proposed method evaluates the designed modular strategy from the perspectives of cost, environmental load in production and transportation, quality, and procurement lead time. As an evaluation, the proposed indicator evaluates the efficiencies of the candidate suppliers. This study applied the proposed method to the design problem of a laptop module and determined the more appropriate suppliers with respect to each destination.

Mengtian LI, Shucai LI, Xiao ZHANG et al.

To solve the problems of small flow and low efficiency for a reciprocating piston pump, a new type of rotary piston pump, triangular rotor pump (TRP), is proposed. Its mechanical structure and working principles are introduced and a mathematical model of the key pump structure and the design requirements for the key sealed components are presented. Experiments involving different outlet sizes and shaft speeds are performed on the AB-1.25D-type TRP. Through Fluent numerical calculation, the fluid flow line, velocity vector, and pressure distribution inside the TRP are analyzed. The results show that, for outlet size a (b) and 190(160)-r/min speed, the pump flow rate reaches a maximum of 8.83 (7.34) m3/h, the shaft power is 5.2 (5.1) kW, and the total efficiency exceeds 72%(65.7%). The numerical calculation results show that four vortices appear in the working-chamber (W-C) for different working processes and areas. The W-C pressure first increases and then decreases, and the maximum pressure occurs at the beginning of the stable full-pressure state. The experimental results for the pressure coefficient, flow coefficient, and total efficiency agree well with the numerical results. The TRP exhibits good performance and can be used in deep mine drainage, long-distance pipeline transportation, and grouting.

Weiss Elżbieta

The author presents theoretical and practical considerations in which strategies of enterprise management in crisis situations will be presented. Therefore, two theses have been presented: 1. proper selection of the strategy in time of crisis is an element of enterprise success; 2. restructuring is part of the effective protection of the enterprise before the crisis. For this reason, a verification of views connected to the ways of managing in case of crisis seems reasonable. In addition, note that the board will decide whether a crisis in an enterprises is a threat to their functioning or it is an opportunity of management reconstruction process. These considerations will be presented in both, their theoretical and practical aspect.

Tatsuya IBUKI, Katsuyuki KISO, Masahiro YASUDA et al.

This paper proposes a structural optimization method for a hexrotor. Structure here means the positions and orientations of the six rotors constituting the hexrotor. In the present optimization method, 6-DOF dynamic manipulability and the maximum translational acceleration are simultaneously considered as structural evaluation indices. The former is introduced as a common evaluation index for motion performance, and the latter with hope for payload flying against the gravity force. A special class of hexrotor structure is first proposed to make the optimization problem tractable, where 6-DOF dynamic manipulability can be provided by the simple product of translational manipulability and rotational one. Then, structual optimization problems are defined and a nonlinear optimization technique is applied. Here, the optimization problems handle two cases: (i) anti-torque of rotors and change of innertia tensor depending on structure are small enough to be neglected, or (ii) they are explicitly considered for structural optimization. Consequently, it is shown that the optimization provides strong symmetry.

Fumihiko KOSAKA, Tsuyoshi INOUE, Kentaro TAKAGI

Suspension of a vehicle plays an important role on the vibration insulation mechanism for reducing the structure born road noise. Using a low stiffness suspension bush is one of the typical countermeasure for the vibration insulation, but such a countermeasure makes the driving stability and the handling comfort worse. The suspension design which achieves the both performance at high level is required in the automotive industry these day. As one of the possible way to achieve the requirement, the road noise reduction by the suspension geometry which has not been investigated so far is presented in this paper. For simplicity, the two dimensional simple model considering a multi-link suspension which consists of the rigid links as suspension and the simply supported elastic beam as body is used. The motion of the suspension forms the energy flow from the road surface to the vehicle body to which the suspension is connected at multiple points. The energy flow which doesn&apos;t supply power to the vehicle body is found by the shape optimization based on the sensitivity analysis with respect to the suspension geometry. The shape optimization result shows maximized negative input power contribution at frequencies of interest. And the energy flow change is done by making the particular mode hardly resonant by having node of its mode shape at the excitation point. Moreover, the effect of the mode shape change appears as input power reduction at other frequency range. These effects are analysed by input power modal expansion.

Jun NANGO, Hisato YOSHIZAWA, Jiajun LIU

The number of people who are in need of nursing care due to difficulties they experience with performing various activities of daily living is increasing. In particular, the action of standing up is performed frequently in daily life, and this action starts to induce pain in joints as people age. In this research, we develop a device whose seat plate follows the movement of the thigh in the action of standing up for the purpose of relieving the burden from the joints and reducing the effort associated with nursing care. The device is designed by using a planar five-link mechanism and a gear train, and only a single input is needed to drive the device. The respective lengths of the links are determined by comparing the movement of the seat plate of the device with the movement of the human thigh in the action of standing up. In addition, this device is expected to be useful for assisting users in standing up in a natural manner, including in the case when the body remains supported by the seat plate, as well as for guiding the individual movements of users in the action of standing up.

Shuanghui HAO, Jinghe SHI, Minghui HAO et al.

This paper proposes a closed-loop identification method based on an AC servo control system for permanent magnet synchronous motor (PMSM) parameters. The parameters include the inductance of the quadrature-direct axis, resistance of the stator, and magnetic flux linkage of the rotor. First, the nonlinear factors influencing the parameter identification accuracy&mdash;the motor model error caused by non-sinusoidal flux, switch dead zone of the inverter, and rotor position feedback delay of the encoder&mdash;were analyzed to develop corresponding compensation methods. Second, an experimental system was developed, and the proposed method was implemented and evaluated. The analytical and experimental results showed that the identified inductance-current curve was consistent with the results of finite element analysis after compensation, while the estimated resistance and flux were closed to the measured values. These results confirm the validity of the proposed method.

Bin ZHANG, Bing XU, Huayong YANG et al.

In order to improve the power control flexibility of axial piston double pump and reduce energy consumption, a cross power control mechanism of double pump is developed. Comparing with the traditional summation power control and individual power control methods, the cross power control can distribute the power into two different individual pumps according to the sum of operating pressure of the two pumps. A virtual prototype of displacement adjusting mechanism of the double pump was established to analyze the control flexibility and energy saving ability of the cross power control. With this prototype model, the power distributions were calculated and analyzed at different operating pressures. Besides, the sensing control system of negative load was also simulated by the model as an additional function. And both the experiment results and simulation results were used to prove the performance of summation power control. It is concluded form the simulation and experimental analysis that the cross-power control has advantages in control flexibility, power distribution and energy-saving ability.