Artículos

Steel structures face significant challenges in long-term maintenance because of complex and unstable service environments. Fortunately, the digital twin technique offers an excellent solution by creating a digital model and continuously updating it with real-time monitoring data. To determine the development and application status of the digital twin technique in steel structures, a review drawn on the latest literature from the past fifteen years was conducted. The bibliometric analysis and innovation discussion of these studies primarily focused on publication details, keyword information, and application specifics. Additionally, significant attention was given to the evolution of digital twin definitions, modeling methodologies, and application fields. The analysis results indicate that the digital twin technique in steel structures has made significant advancements in both its definition and modeling methodologies, thanks to worldwide contributions. Meanwhile, this technique also demonstrates advantages in the applications of material deformation, structural monitoring, infrastructure maintenance, and fatigue assessment. Based on this review of the existing literature, the future development of the digital twin technique in steel structures should focus on model innovation, application expansion, and performance optimization.

Solid-state batteries (SSBs) hold the potential to revolutionize energy storage systems by offering enhanced safety, higher energy density, and longer life cycles compared with conventional lithium-ion batteries. However, the widespread adoption of SSBs faces significant challenges, including low charge mobility, high internal resistance, mechanical degradation, and the use of unsustainable materials. These technical and manufacturing hurdles have hindered the large-scale commercialization of SSBs, which are crucial for applications such as electric vehicles, portable electronics, and renewable energy storage. This study systematically reviews the global SSB patent landscape using a cross-sectional bibliometric and thematic analysis to identify innovations addressing key technical challenges. The study classifies innovations into key problem and solution areas by meticulously examining 244 patents across multiple dimensions, including year, geographic distribution, inventor engagement, award latency, and technological focus. The analysis reveals significant advancements in electrolyte materials, electrode designs, and manufacturability. This research contributes a comprehensive analysis of the technological landscape, offering valuable insights into ongoing advancements and providing a roadmap for future research and development. This work will benefit researchers, industry professionals, and policymakers by highlighting the most promising areas for innovation, thereby accelerating the commercialization of SSBs, and supporting the transition toward more sustainable and efficient energy storage solutions.

Importance: This bibliometric analysis of the application of metaheuristics in transportation and logistics examines over two decades of research (1999–present), aiming to uncover global trends, anticipate future directions, and highlight how interconnections between key factors facilitate the development of practical and sustainable solutions for the industry. Methodology: A quantitative approach is employed to analyze the evolution of the discipline by reviewing an extensive database of relevant research and key authors and utilizing advanced data processing tools. This analysis enables the assessment of advances in the optimization of metaheuristic models, with an impact on time and cost savings from an economically sustainable perspective. Results: The use of metaheuristics optimizes the efficiency and competitiveness of the transportation sector while promoting a positive economic impact on companies. The main areas of application are optimization and metaheuristic methods, cost and operational efficiency, planning and scheduling, logistics and transportation, supply chain and logistics networks, energy and sustainability, and demand and users. Additionally, genetic algorithms stand out as particularly important. Conclusions: This research provides a comprehensive and detailed view of the impact of metaheuristics on the transportation sector, highlighting their current and future trends (such as artificial intelligence) and their economic relevance.

The industrial application of high hydrostatic pressure (HHP) can be traced back to the late 19th century in the fields of mechanical and chemical engineering. Its growth as a food preservation technique has developed and massified in certain countries in the last 30 years. However, there is no global overview of the research conducted on this topic. The aim of this study was to recognize global trends in the scientific population on the subject of HHP over time at the main levels of analysis: sources, authors, and publications. This article provides a summary of research related to the use of HHP through a bibliometric analysis using information obtained from the Web of Science (WoS) database between the years 1975–2023, using the terms “pascalization”,“high-pressure processing”, and “high hydrostatic pressure” as input keywords. The results are shown in tables, graphs, and relationship diagrams. The countries most influential and productive in high hydrostatic pressure are the People’s R China, the USA, and Spain, with 1578, 1340, and 1003 articles, respectively. Conversely, the authors with the highest metrics are Saraiva, J. (Universidade Aveiro-Portugal), Hendrickx, M. (Katholieke Universiteit Leuven-Belgium), and Wang, T. (China Agricultural University-China). The most productive journals are Innovative Food Science & Emerging Technologies, Food Chemistry, and LWT-Food Science and Technology, all belonging to Elsevier, with 457, 281, and 264 documents, respectively. In relation to the connection between the documents under study and the United Nations Sustainable Development Goals (SDGs), most documents in the period 1975–2023 are linked to SDG 03 (good health and well-being), followed by SDG 02 (zero hunger), and SDG 07 (affordable and clean energy). Finally, the information presented in this work may give valuable key insights for those interested in the development of this interesting topic in non-thermal food preservation. Additionally, it serves as a strategic resource for stakeholders, such as food industry leaders, policymakers, and research funding bodies, by providing a clear understanding of the current state of knowledge and innovation trends. This enables informed decision-making regarding research priorities, investment opportunities, and the development of regulatory frameworks to support the adoption and advancement of non-thermal preservation technologies, ultimately contributing to safer and more sustainable food systems.

With material advancement, phase change materials (PCMs) of high latent heat of phase transition can revolutionize the thermal energy storage market. However, limitations such as volume expansion leading to leakage and low thermal conductivity need to be addressed. These two limitations can be answered by holding the core phase change material in a porous conductive framework, with sites for the PCM to reside by capillarity. This work presents a comprehensive literature review along with bibliometric analysis on form stable composites. The review is conducted to show the evolution of form stable phase materials and their applications. The article has been divided into sections based on the supporting matrix used. In this paper, authors have included sections based on the chemical nature of the supporting matrix. The properties of the composite have been thoroughly compared to those of the parent PCM to provide a clearer and more analytical understanding. A short section is also dedicated to the latest and futuristic applications of the form stable PCM composites in this review article.

Nanomaterials are currently one of the most popular emerging materials used in different applications such as drug delivery, water treatment, cancer treatment, electronic, food preservations, and production of pesticide. This is due to their interesting features including size-dependent properties, lightweight, biocompatibility, amphiphilicity and biodegradability. They offer wide possibilities for modification and are used in multiple functions with enormous possibilities. Some of them are medically suitable which has opened new opportunities for medical improvement especially for human health. These characteristics also make nanomaterials one of the pioneers in green materials for various needs, especially in environmental engineering and energy sectors. In this review, several synthesis approaches for nanoparticles mainly physical, chemical, and biological have been discussed extensively. Furthermore, bibliometric analysis on the synthesis of nanoparticles was evaluated. About 117,162 publications were considered, of which 92% are journal publications. RSC Advances is the most published outlet on the synthesis of nanoparticles and China has the highest number of researchers engaged in the synthesis of nanoparticles. It was noted in the evaluation of synthesis approach that biological approach is the savest method but with a low yield, while the chemical approach offers a high yield with some level of hazardous effect. Also, the bibliometric analysis revealed that the field of nanotechnology is a trending and hot ground for research.

Gum Arabic (GA) is a natural ingredient used in food, pharmaceutical, and cosmetic industries. Numerous studies have been conducted on the physicochemical properties and applications of GA. This study aimed to map knowledge and perform a bibliometric analysis of GA research (GAR) for over a century ago. A search was carried out in the Scopus database using relevant terms and Boolean operators (Gum Arabic OR Acacia gum, OR gum sudani), and data-driven documents in English were extracted. The extracted data included citations, bibliographical and geographical information, abstracts, and keywords. The CVS and BibTex data files were analyzed using VOSviewer and Bibliometrix platforms, respectively. The annual increase in GAR is incremental, consisting of 5313 documents over 108 years and produced by 27 scientific disciplines. The three most productive countries are India, China, and the United States. The rate of international co-authorship was 22.07%, with China being the most collaborative country. Food Hydrocolloids is the most prestigious source. Phillips, G.O., is the most prolific, cited, and co-cited author. Four clusters were detected based on the co-citation analysis of the authors. The most frequent terms in the GAR were “nanoparticles,” “carbon nanotubes,” “stability,” “rats,” “microencapsulation,” and ”lipase.” “Carbon nanotubes” and “microencapsulation” are evolving subjects in GAR. 2000 and 2010 are the turning points in GAR’s thematic evolution. “Ultrasound,” “Pickering emulsion,” “sensory evaluation,” “bioactive compounds,” “cytotoxicity,” and “green synthesis” are the trending topics. Our findings reveal the most common scientific research on GAR, with the physiochemical qualities of GA as a dietary and pharmaceutical constituent being the most common. The marketing, production, tapping, and processing of GA requires further investigation.

Renewable hydrogen is widely considered a key technology to achieve net zero emissions in industrial production processes. This paper presents a structured bibliometric analysis, examining current and future applications of hydrogen as feedstock and fuel across industries, quantifying demand for different industrial processes, and identifying greenhouse gas emissions reduction potential against the context of current fossil-based practices. The findings highlight significant focus on hydrogen as feedstock for steel, ammonia, and methanol production and its use in high-to medium-temperature processes, and a general emphasis on techno-economic and technological evaluations of hydrogen applications across industries. However, gaps exist in research on hydrogen use in sectors like cement, glass, waste, pulp and paper, ceramics, and aluminum. Additionally, the analysis reveals limited attention in the identified literature to hydrogen supply chain efficiencies, including conversion and transportation losses, as well as geopolitical and raw material challenges. The analysis underscores the need for comprehensive and transparent data to align hydrogen use with decarbonization goals, optimize resource allocation, and inform policy and investment decisions for strategic deployment of renewable hydrogen.

This research focused on identifying various types of faults occurring on 330kV transmission lines through the use of artificial neural networks (ANN). A MATLAB model for the Gwagwalada-Katampe 330kV transmission line in Nigeria was implemented to generate fault datasets. Voltage and current fault parameters were utilized to train and simulate the ANN network architecture selected for each stage of fault detection. Four types of faults were considered, along with a fifth condition representing no fault. The results illustrated the success of the developed model in identifying various fault conditions and system parameters on the Gwagwalada-Katampe 330kV transmission line, modelled using MATLAB Simulink.

PT. Electronics Components Indonesia manufactures capacitors and focuses on enhancing productivity and operational efficiency of the frame welding machines through effective maintenance. This study employs a quantitative method to analyze the Overall Equipment Effectiveness (OEE) values, including availability, performance efficiency, and rate of quality, as well as conducting a Six Big Losses analysis. The results indicate that the average availability reached 97.83%, with a significant decrease in August due to downtime. Performance efficiency remained consistently above 90%, although higher product output tended to reduce efficiency. The rate of quality was stable and high, reflecting improvements in production processes and quality control. The average OEE value reached 88%, exceeding the global standard of 85%. To further enhance the effectiveness of the frame welding machines, suggested improvements include operator training, regular performance evaluations, attention to operator well-being, selection of high-quality raw materials, updating SOPs, regular preventive maintenance, improving workplace safety, and investing in backup energy systems. In conclusion, the improvements implemented successfully enhanced the performance and operational quality of the frame welding machines.