Články z časopisů s impakt faktorem / Articles from Impact Factor Journals

Permanent URI for this collectionhttp://hdl.handle.net/10084/96217

Kolekce obsahuje články z časopisů (od roku 2008 do současnosti), které v době vydání článku měly impakt faktor (podle databáze InCites Journal Citation Reports společnosti Clarivate Analytics).

Přehled publikační činnosti ze všech časopisů indexovaných v době vydání článků ve Web of Science poskytuje kolekce Publikační činnost VŠB-TUO.

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Now showing 1 - 20 out of 6487 results

Review of compensation topologies power converters coil structure and architectures for dynamic wireless charging system for electric vehicle
(MDPI, 2024) Rajamanickam, Narayanamoorthi; Shanmugam, Yuvaraja; Jayaraman, Rahulkumar; Petrov, Jan; Vávra, Lukáš; Goňo, Radomír
The increasing demand for wireless power transfer (WPT) systems for electric vehicles (EVs) has necessitated advancements in charging solutions, with a particular focus on speed and efficiency. However, power transfer efficiency is the major concern in static and dynamic wireless charging (DWC) design. Design consideration and improvements in all functional units are necessary for an increase in overall efficiency of the system. Recently, different research works have been presented regarding DWC at the power converter, coil structure and compensators. This paper provides a comprehensive review of power converters incorporating high-order compensation topologies, demonstrating their benefits in enhancing the DWC of EVs. The review also delves into the coupling coil structure and magnetic material architecture, pivotal in enhancing power transfer efficiency and capability. Moreover, the high-order compensation topologies used to effectively mitigate low-frequency ripple, improve voltage regulation, and facilitate a more compact and portable design are discussed. Furthermore, optimal coupling and different techniques to achieve maximum power transfer efficiency are discussed to boost magnetic interactions, thereby reducing power loss. Finally, this paper highlights the essential role of these components in developing efficient and reliable DWC systems for EVs, emphasizing their contribution to achieving high-power transfer efficiency and stability.
Three-stage pyrolysis-catalytic dry reforming of waste polyolefins over MFI and Ni-MFI catalysts for BTEX and syngas production
(Elsevier, 2024) Inayat, Amer; Inayat, Alexandra; Klemencová, Kateřina; Schwieger, Wilhelm; Leštinský, Pavel
This work presents an experimental proof-of-concept study for a three-stage pyrolysis-catalytic dry reforming process for recovering valuable chemicals from waste plastics. It is demonstrated that depending upon the catalysts, process parameters and reactor configuration, plastic waste and carbon dioxide can be converted into a diverse array of valuable chemicals which can be used as secondary feedstocks in the chemical or petrochemical industry, thus decreasing dependency on fossil resources and contributing to waste reduction. For this work, waste polypropylene was thermally pyrolyzed and the emerging vapors were passed over HZSM-5 catalyst to obtain BTEX-rich pyrolysis oil and pyrolysis gases containing mainly C1 to C4 hydrocarbons. The gaseous products were separated, mixed with CO2 and passed over Ni-silicalite-1 catalyst to obtain syngas, thus upgrading the pyrolysis gases and contributing to CO2 reduction. This study may provide new insights towards the development of processes for the chemical recycling of waste plastics and CO2.
The nexus of a regional competitiveness and economic resilience: The evidence-based on V4+4 NUTS 2 regions
(Technická univerzita v Liberci, 2024) Svoboda, Ondřej; Melecký, Lukáš; Staníčková, Michaela
Economies have always been prone to economic downturns, industry shocks, currency crises, and the current COVID-19 epidemic crises, destabilising a region's economic growth trajectory and pattern. By re-establishing economic ties both inside and outside regions, regional economies that have been disturbed by a shock may transition to a new growth trajectory. We examined the idea of competitiveness and resilience in a regional development context to answer why one region is more susceptible to economic shock than others and the competitive advantages and disadvantages of V4+4 countries. This article highlights some of the core characteristics of regional competitiveness and resilience and gives a survey of the notion, main empirical results, and planning tasks concerning regional competitiveness and resilience. The idea of resilience is gaining greatness because of the COVID-19 crisis, and its importance is growing in research and economic policymaking. Ideas like "2020 made us stronger" and "resilience, tenacity, and the ability has decreased the main systems' shock resistance and caused failures to spread from one system to another. Thus, it is necessary to suggest a systems approach focused on resilience to have socio-economic systems ready for potential shocks. The paper's main topic is resilience-focused its resilience considering the COVID-19 issue and the political agenda that is transition-driven in order to move forward or recover but emerge stronger. If policies are to be effective in the long run, an attitude responding to the systemic causes and impacts of big shocks is required.
A bibliometric review on application of machine learning in additive manufacturing and practical justification
(Elsevier, 2024) Ma, Quoc-Phu; Nguyen, Hoang-Sy; Hajnyš, Jiří; Měsíček, Jakub; Pagáč, Marek; Petrů, Jana
This paper delves into the cutting-edge applications of Machine Learning (ML) within modern Additive Manufacturing (AM), employing bibliometric analysis as its methodology. Formulated around three pivotal research questions, the study navigates through the current landscape of the research field. Utilizing data sourced from Web of Science, the paper conducts a comprehensive statistical and visual analysis to unveil underlying patterns within the existing literature. Each category of ML techniques is elucidated alongside its specific applications, providing researchers with a holistic overview of the research terrain and serving as a practical checklist for those seeking to address particular challenges. Culminating in a vision for the Smart Additive Manufacturing Factory (SAMF), the paper envisions seamless integration of reviewed ML techniques. Furthermore, it offers critical insights from a practical standpoint, thereby facilitating shaping future research directions in the field.
The effect of wood species on fine particle and gaseous emissions from a modern wood stove
(MDPI, 2024) Rinta-Kiikka, Henna; Dahal, Karna; Louhisalmi, Juho; Koponen, Hanna; Sippula, Olli; Krpec, Kamil; Tissari, Jarkko
Residential wood combustion (RWC) is a significant source of gaseous and particulate emissions causing adverse health and environmental effects. Several factors affect emissions, but the effects of the fuel wood species on emissions are currently not well understood. In this study, the Nordic wood species (named BirchA, BirchB, Spruce, SpruceDry, Pine and Alder) were combusted in a modern stove, and the emissions were studied. The lowest emissions were obtained from the combustion of BirchA and the highest from Spruce and Alder. The fine particle mass (PM2.5) was mainly composed of elemental carbon (50-70% of PM2.5), which is typical in modern appliances. The lowest PAH concentrations were measured from BirchA (total PAH 107 mu g/m3) and Pine (250 mu g/m3). In the ignition batch, the PAH concentration was about 4-fold (416 mu g/m3). The PAHs did not correlate with other organic compounds, and thus, volatile organic compounds (VOCs) or organic carbon (OC) concentrations cannot be used as an indicator of PAH emissions. Two birch species from different origins with a similar chemical composition but different density produced partially different emission profiles. This study indicates that emission differences may be due more to the physical properties of the wood and the combustion conditions than to the wood species themselves.
PV integrated multi-leg powered constant quasi-dynamic charging system for low-speed vehicles
(Springer Nature, 2024) Shanmugam, Yuvaraja; Rajamanickam, Narayanamoorthi; Bernat, Petr; Moldřík, Petr
The global adoption of electric vehicles (EVs) is gaining momentum as countries strive to achieve sustainable development goals. Establishing charging infrastructure is of paramount importance to promote increased EV usage. The cost and weight of the batteries are factors that reduce the sales volume and popularity of EVs. A dynamic charging system has also been developed to enhance the driving range of EVs and mitigate the need for heavy storage requirements. The energy demand of charging infrastructure is increasing day by day. Many countries are installing solar arrays along the roadside to meet the power demand of highway lighting applications and achieve sustainable development goal (SDG) 7. To further enhance this system, this manuscript proposes integrating PV technology with the dynamic charging system. The PV arrays and energy storage system (ESS) collaborate to power the dynamic charging system. A multi-leg inverter is employed to energize the charging couplers, while a resonant network improves the power transfer capability of the couplers. On the receiver side, a resonant network ensures the delivery of constant voltage and constant current by tuning the network topology. The 3.3 kW five-legged inverter is developed to energize the four double-D-shaped charging couplers. The common DC bus delivers 350 V to the inverter, and the charging system delivers 350 V, 8.85 A to the EV batteries.
On entropic learning from noisy time series in the small data regime
(MDPI, 2024) Bassetti, Davide; Pospíšil, Lukáš; Horenko, Illia
In this work, we present a novel methodology for performing the supervised classification of time-ordered noisy data; we call this methodology Entropic Sparse Probabilistic Approximation with Markov regularization (eSPA-Markov). It is an extension of entropic learning methodologies, allowing the simultaneous learning of segmentation patterns, entropy-optimal feature space discretizations, and Bayesian classification rules. We prove the conditions for the existence and uniqueness of the learning problem solution and propose a one-shot numerical learning algorithm that-in the leading order-scales linearly in dimension. We show how this technique can be used for the computationally scalable identification of persistent (metastable) regime affiliations and regime switches from high-dimensional non-stationary and noisy time series, i.e., when the size of the data statistics is small compared to their dimensionality and when the noise variance is larger than the variance in the signal. We demonstrate its performance on a set of toy learning problems, comparing eSPA-Markov to state-of-the-art techniques, including deep learning and random forests. We show how this technique can be used for the analysis of noisy time series from DNA and RNA Nanopore sequencing.
A comparison of non-destructive defect detection methods for steel wire ropes
(MM Science, 2024) Lesňák, Michal; Kroupa, Jan; Barčová, Karla; Miškay, Marek; Jursa, Dominik
Steel wire ropes are among the essential technical elements widely used in many industries. The impeccable condition of these elements has a major impact on the safety of entire facilities where they are applied, be it construction, mining, agriculture, transport, engineering or another area. This article focuses on comparing two non-destructive methods designed to study the internal defects of steel wire ropes. They are defectoscopes with different principles of operation, namely the MID-3 magnetic defectoscope with both excitation and detection of the magnetic field by means of induction coils, and the REMA defectoscope with Hall sensors. Four reference samples of steel wire ropes used in underground mines with well-defined defects corresponding to damage due to fatigue of the wire rope material were created for the study. Based on the experiments performed, it was confirmed that defectoscopes working on the principle of Hall sensors can detect metal cross section loss adequately.
Waste management systems in the context of sustainability
(Technická univerzita Košice, 2024) Kozel, Roman; Bělica, Josef; Kempa, Filip; Chlopecký, Jakub; Grycz, Ondřej; Cehlár, Michal
The present paper deals with waste management systems in the context of sustainability in selected municipalities. The author's team aimed to find the key waste groups according to the classification groups that have a major impact on the volume of waste and the cost of the system, thus facilitating management decision-making. In order to optimise the management of the entire waste management system from the perspective of the statutory municipality, it was first necessary to reduce the original list of 53 waste items to a significantly smaller number. With the help of waste management experts, criteria for reducing the number of waste input items were defined, resulting in a reduced statistical sample of 27 items. Each item is quantified by the amount of waste per year and the cost of the system per year. The mathematical apparatus consisted primarily of calculating average values as well as marginal slopes of waste quantity and cost. The interrelationships between waste groups were graphically recorded in perceptual maps. The individual analyses were carried out primarily for a statutory city, with secondary comparisons of the results with smaller towns and small villages. The analytical procedures verified that the catalogue of basic components of mixed municipal waste can be significantly reduced for decision-making in secondary resource management. The amount of waste selected in each group significantly impacts the cost of the whole waste management system. Of the original 15 waste groups, only three groups appear to be the main ones. The municipal waste group even has a decisive influence on both the quantity of waste and the cost of the whole system. Thanks to these findings, from the point of view of both the manager and the management of the statutory city, it is possible to focus on this core group, which contains the 13 original catalogue items.
Influence of calcination temperature and particle size distribution on the physical properties of SrFe12O19 and BaFe12O19 hexaferrite powders
(Springer Nature, 2024) Hlosta, Jakub; Hrabovská, Kamila; Rozbroj, Jiří; Nečas, Jan; Žurovec, David; Diviš, Jan; Životský, Ondřej
The paper deals with the economic optimisation of ferrite powder preparation during producing hard ferrite magnets. The magnetic properties of ferrites are investigated by replacing feedstock and reducing calcination temperature and particles in the order of tens of microns. The granulates about 8-10 mm in size were calcined for 2 h in the temperature range from 1100 degrees C to 1300 degrees C and additionally crushed and milled to an average particle size of about 80-90 mu m. The scanning electron microscopy images confirmed the agglomerates of particles with different shapes and sizes in tens of mu m. The X-ray diffraction measurements revealed that, besides the SrFe12O19 and BaFe12O19 phases, there was also the presence of 2-39% hematite. The highest values of maximum energy product (BH)(max) = 930 J/m(3) and remanent magnetic induction B-r = 72.8 mT were obtained at a calcination temperature of 1300 degrees C. The Henkel plots confirmed the presence of exchange-coupling and dipolar magnetic interactions at lower and higher magnetic fields, respectively. The strength of interactions was also dependent on the calcination temperature. Replacing strontium with barium led to a deterioration of the magnetic parameters, which were optimal at a lower calcination temperature (1100 degrees C). This phenomenon was partly overcome by reducing the mean particle size of Ba-based hexaferrites to 45-50 mu m.
Liquid-solid grinding system: Grinding kinetics of coal fly ash as ultrafine supplementary cementitious materials
(Elsevier, 2024) Yang, Jin; Huang, Yong; He, Xingyang; Su, Ying; Huang, Tao; Strnadel, Bohumír
Wet-milling in liquid-solid system can achieve ultra-fine mechanical dissociation of solid wastes with low energy consumption, thereby efficiently improving the potential pozzolanic reactivity. However, the wet-milling kinetics of ultrafine dissociation in liquid-solid system has not been fully investigated. This paper systematically investigates the wet-milling kinetics of fly ash (FA). Results showed that before wetmilling of FA for 360 min, no agglomeration effect was observed. The particle dissociation of FA during wet-milling can be divided into three stages: rapid dissociation, slow dissociation and stabilization. The evolution process of particle size distribution during wet-milling is consistent with the Rosin-RammlerBennet distribution. Both the particle uniformity coefficient and fractal dimension showed highly positive linear correlation with the strength activity index of wet-milled FA. The grey correlation analysis showed that FA particles between 1.1 and 3.1 mm had the greatest impact on both the early and late strength activity index. Simultaneously, D10 of wet-milled FA has the largest impact on strength activity index at each age, while D10 0 has the least impact. Therefore, D10 and proportion of particles in 1.1 -3.1 mm can be an important basis for judging the reactivity of wet-milled FA as ultrafine supplementary cementitious materials.
Optical soliton stability in zig-zag optical lattices: comparative analysis through two analytical techniques and phase portraits
(Springer Nature, 2024) Riaz, Muhammad Bilal; Jhangeer, Adil; Kazmi, Syeda Sarwat
This article explores the examination of the widely employed zig-zag optical lattice model for cold bosonic atoms, which is commonly utilized to depict nonlinear wave in fluid mechanics and plasma physics. The focus is on obtaining soliton solutions in optics and investigating their physical properties. A wave transformation is initially applied to convert a partial differential equation (PDE) into an ordinary differential equation (ODE). Soliton solutions are subsequently obtained through the application of two distinct methods, namely the generalized logistic equation method and the Sardar sub-equation method. These solutions include bright, dark, combined dark-bright, chirped type solitons, bell-shaped, periodic, W-shape, and kink solitons. In this paper, the solutions derived from two analytical approaches were compared to enhance the understanding of the behavior of the discussed nonlinear model. The obtained solutions have significant implications across various fields such as plasma physics, fluid dynamics, optics, and communication technology. Furthermore, 3D and 2D graphs are generated to depict the physical phenomena of the derived solutions by assigning appropriate constant parameters. The qualitative evaluation of the undisturbed planar system involves the analysis of phase portraits within bifurcation theory. Subsequently, the introduction of an outward force is carried out to induce disruption, and chaotic phenomena are unveiled. The detection of chaotic trajectory in the perturbed system is achieved through 3D plots, 2D plots, time scale plots, and Lyapunov exponents. Furthermore, stability analysis of the examined model is addressed under distinct initial conditions. Finally, the sensitivity assessment of the model under consideration is carried out using the Runge-Kutta method. The results of this study are innovative and have not been previously investigated for the system under consideration. The results obtained underscore the reliability, simplicity, and effectiveness of these techniques in analyzing a variety of nonlinear models found in mathematical physics and engineering disciplines.
The carbon activation of electric furnace ferronickel slag and its utilization in cement-based materials
(Elsevier, 2024) Wang, Yingbin; Xiang, Zhiding; Su, Ying; He, Xingyang; Yang, Jin; Li, Yubo; Jin, Zihao; Strnadel, Bohumír
The high annual emissions and low utilization rate of electric furnace ferronickel slag (EFS) have brought enormous impacts on environment. This work intends to propose a methodology for the carbon activation of EFS to improve its resource utilization. To this end, the exfoliation-carbonation (i.e., hybrid aqueous carbonation) was developed and compared with CO2 bubbling carbonation (i.e., direct aqueous carbonation). The carbonation process of EFS and the hydration and mechanical strength of activated EFS blended cement-based materials was evaluated. Experimental results indicated that mechanical pre-treatment could disorder forsterite crystal and promote the dissolution of Mg to form Si enriched mineral surface. The direct aqueous carbonation led to the formation of passivation layer which could be striped by hybrid aqueous carbonation to facilitate further carbon mineralization. Increase in temperature significantly improved the decomposition of forsterite and accelerated the carbon mineralization kinetics. The activated EFS could accelerate the hydration and promote the mechanical strength of cement-based materials. Carbon mineralization is an effective method to strengthening the activity of EFS.
Investigation on the correlation between mechanical strength, grain size, and density of fly ash microspheres in the context of refining process
(MDPI, 2024) Radko, Tomasz; Wajda, Agata; Iluk, Tomasz; Najser, Jan
Fly ash microspheres, also called cenospheres, have many valuable properties that allow them to be widely used. Some of its most important properties are its mechanical and thermal strength as well as its chemical stability. These features constitute an important commercial parameter. Refining processes aim to select the highest quality product from raw materials that meets the expectations of recipients. Generally, preparing a final product involves selecting the appropriate sequence and parameters of the grain separation process. However, the key to the optimal selection of these parameters is knowledge of the specificity of the processed raw material. Microspheres are materials that are created spontaneously, uncontrolled, and without the possibility of intentionally influencing their properties. Therefore, due to the potential directions of microsphere use, it is justified to study the relationship between density, grain size, and mechanical strength. Understanding these relationships in microspheres from various sources is particularly important at the stage of planning refining processes. This paper presents the results of research on microspheres from two different sources. The tested raw materials (microspheres) are subjected to densiometric and grain analysis. Also, mechanical strength was determined for the separated density fractions and grain classes. The test results did not show significant correlations between the tested features of the microspheres. In the case of both raw materials, the highest density was observed in the smallest grain classes, and the highest mechanical strength was determined for microspheres with grain sizes in the range of 75-100 mu m. For this grain size range, the value of mechanical strength is 26 for raw Material 1 and 38 for raw Material 2. The shares of this grain fraction in the microsphere stream are 11.2% and 16%, respectively. An important difference that may significantly affect the efficiency of the refining process is the method of distribution of the primary falling parts, which affects the mechanical strength of the tested raw materials.
Frame design of inline skates made by additive technology
(MM Science, 2024) Posmyková, Eliška; Hruban, Jiří; Měsíček, Jakub; Bláha, Roman; Ma, Q.-P.; Hajnyš, Jiří; Petrů, Jana
The aim of the article was to investigate the possibility of topological optimization (TO) of the inline skate frame manufactured through the Powder Bed Fusion (PBF) method of AISi10Mg-0403, an Additive Manufacturing (AM) technique. The study's core objective was to leverage The Altair Inspire software to re-envision the initial CAD model, culminating in an organic and bionic frame design. Incorporating comprehensive load analysis, the research considered various load scenarios, including static mass, dynamic forces, and acceleration during cornering, to ascertain the frame's strength and stability. Topological optimization was excluded within a defined design space, preserving critical functional elements while enhancing performance. The first part of the article is devoted to defining the concepts and nature of AM metallic materials. The practical part follows, in which the design of the skate frame is specified with specific requirements and the procedure of individual steps needed to create its final CAD Model. The work concludes by describing the preparation of the designed optimized frame construction.
Mechanical properties, workability, and experiments of reinforced composite beams with alternative binder and aggregate
(MDPI, 2024) Marcalíková, Zuzana; Jeřábek, Jan; Gandel, Radoslav; Gabor, Roman; Bílek, Vlastimil; Sucharda, Oldřich
Arguably the most important element in the sustainability of concrete development is the discovery of an optimal sustainable binder and substitution for the increasingly depleted reserves of natural aggregates. Considerable interest has been shown in alkali-activated materials, which possess good characteristics and could be considered environmentally friendly because of their use of secondary materials in production. The aim of this study was the determination of the mechanical properties of three different mixtures based on the same locally accessible raw materials. The reference mixture contained Portland cement, the second mix contained a finely ground granulated blast furnace slag instead of cement, and the third mixture contained a portion of light artificial aggregate. The experiments focused on the testing and mutual comparison of the processability of the fresh mixture and mechanical characteristics (like compressive and flexural strength, as well as resistance to high temperatures and surface layer tear strength tests). Reinforced concrete beams without shear reinforcement and with three levels of reinforcement were also tested with a three-point bend test. The results show that, overall, the mechanical properties of all the tested mixtures were similar, but each had its own disadvantages. For example, the blast furnace slag-based mixture had a more vulnerable surface layer or a debatable loss of bulk density in the light aggregate mix at the expense of the mechanical properties. One of the main results of the research is that it was possible to technologically produce beams from the alkali-activated concrete (AAC) mixture. Then, the performed beam experiments verified the mechanism of damage, collapse, and load capacity. The obtained results are essential because they present the use of AAC not only in laboratory conditions but also for building elements. In beams without shear reinforcement, the typical tensile cracks caused by bending and shear cracks appeared under loading, where their character was affected depending on the degree of beam reinforcement and loading.
Pyrolysis solid product as a sorbent for flue gases mercury capture — Part II: Sorbent utilization
(Elsevier, 2024) Jadlovec, Marek; Honus, Stanislav; Čespiva, Jakub
This study explores using solid pyrolysis products from six materials as sorbents to capture mercury from flue gas in an experimental fluidized bed combustor. It investigates the effects of activation methods, adsorption temperature, and Hg0/Hg2+ 0 /Hg 2+ ratios on mercury removal efficiency. Physical and chemical activations are conducted using steam and NaOH, respectively. Tests are run at 100-160 degrees C with 5 g of sorbent. Results show 120 degrees C as optimal, with sorbents losing 0.34 % and 0.39 % efficiency with increasing temperature for lignite and black coal. Specific surface area (up to 641 m2 center dot g-1) 2 center dot g -1 ) significantly influences cumulative removal efficiency (CRE), reaching 80.8 % for lignite and 73.85 % for black coal. Mercury gas recovery averages 35.5 % and 53.7 % after physical and chemical activations. Lignite sorbents exhibit higher CRE than black coal, indicating greater mercury oxidation in black coal flue gas. This study offers a promising method for char recovery from pyrolysis, suggesting competitive sorbents for industrial use.
An approach for dynamically adaptable SIMD vectorization of FEM kernels
(Elsevier, 2024) Kadlubiak, Kristian; Meca, Ondřej; Říha, Lubomír; Brzobohatý, Tomáš
The paper focuses on the optimization of the FEM matrix kernels with respect to user-defined parameters such as materials, initial conditions, and boundary conditions that are known during run-time only. Adapting the kernels to specific parameters can save a significant amount of execution time and increase performance. Handling them efficiently is challenging due to the exponential number of potential combinations that the user can specify. The paper presents an approach that combines (a) cross-element vectorization for the easy-to-write transformation of the original scalar code to vectorized one, (b) meta-programming for utilization of a compiler for building sub- kernels tailored for a particular set of parameters, (c) and dynamic polymorphism allowing run-time selection of sub-kernels. We show that the above techniques allow (1) straightforward code modifications, (2) efficient handling of required dynamic behavior with a minor performance penalty for most kernels, and (3) achieving up to 8-fold speedups compared to non-adapted kernels.
Information inputs and outputs of quality planning processes and the possibilities of their improvement through digital transformation
(Technická univerzita Košice, 2024) Slancová, Iveta; Plura, Jiří
Purpose: The article aims to identify the key information inputs of quality planning processes, analyse their availability in the company practice, and propose framework measures for their effective digital transformation. Methodology/Approach: The quality planning process was divided into 10 subprocesses, and a total of 90 information inputs and outputs were identified. Based on the importance evaluation 20 most important information inputs of quality planning were determined. The average digitalisation degree and maturity of the used storage systems were analysed in company practice for these information inputs. The average degree of availability of these inputs was then evaluated, leading to framework proposals for improvement. Findings: The analysis revealed that many key information inputs of quality planning processes are not sufficiently available in practice. Consequently, framework measures to improve the availability of information for quality planning processes were proposed. Research Limitation/Implication: This article provides valuable insights for companies aiming to enhance competitiveness through more effective quality planning in accordance with Industry 4.0 principles. Originality/Value of paper: The paper identifies the information inputs and outputs of quality planning processes and offers framework suggestions for effectively incorporating digital transformation into these processes.
Aqueous multivalent metal-ion batteries: Toward 3D-printed architectures
(Wiley, 2024) De, Puja; Pumera, Martin
Energy storage has become increasingly crucial, necessitating alternatives to lithium-ion batteries due to critical supply constraints. Aqueous multivalent metal-ion batteries (AMVIBs) offer significant potential for large-scale energy storage, leveraging the high abundance and environmentally benign nature of elements like zinc, magnesium, calcium, and aluminum in the Earth's crust. However, the slow ion diffusion kinetics and stability issues of cathode materials pose significant technical challenges, raising concerns about the future viability of AMVIB technologies. Recent research has focused on nanoengineering cathodes to address these issues, but practical implementation is limited by low mass-loading. Therefore, developing effective engineering strategies for cathode materials is essential. This review introduces the 3D printing-enabled structural design of cathodes as a transformative strategy for advancing AMVIBs. It begins by summarizing recent developments and common challenges in cathode materials for AMVIBs and then illustrates various 3D-printed cathode structural designs aimed at overcoming the limitations of conventional cathode materials, highlighting pioneering work in this field. Finally, the review discusses the necessary technological advancements in 3D printing processes to further develop advanced 3D-printed AMVIBs. The reader will receive new fresh perspective on multivalent metal-ion batteries and the potential of additive technologies in this field.

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