Results in Engineering最新文献

{"title":"Emerging power quality improvement technology: Recent advances on topologies, control schemes, issues and prospects towards grid decarbonization","authors":"Kamrul Hasan ,&nbsp;Muhammad Murtadha Othman ,&nbsp;Sheikh Tanzim Meraj ,&nbsp;Md. Siddikur Rahman ,&nbsp;M.S. Hossain Lipu ,&nbsp;Mahidur R. Sarker","doi":"10.1016/j.rineng.2026.109256","DOIUrl":"10.1016/j.rineng.2026.109256","url":null,"abstract":"<div><div>Carbon emissions are the main driver of environmental pollution, necessitating urgent solutions. Addressing this issue requires developing efficient and cost-effective energy stability while preventing any rise in emissions. Innovation in technology is essential to accomplishing this objective. Power electronic technologies are extensively used to connect renewable energy sources to the grid reliably and efficiently, aiding in system control and grid decarbonization. However, the high penetration of renewable energy into the grid can lead to serious issues, including power quality deterioration. As a result, the global energy industry is increasingly implementing power quality improvement technology (PQIT) in large-scale renewable energy plants and grid systems to address these challenges. Yet, this transition introduces new challenges and issues. While there have been numerous reviews on PQIT, there is currently no comprehensive review addressing the configurations and energy management schemes of PQIT in the context of renewable integrations and grid decarbonization. To fill this gap, this manuscript presents an in-depth review of state-of-the-art PQITs, including structural analysis, model development, key findings, research gaps, and their applications in grid integration and decarbonization. This review specifically investigates how various PQIT structural configurations and control algorithms contribute to decarbonization targets. By mapping each technology’s operational role to key decarbonization outcomes, such as reduced emissions, improved energy efficiency, and enhanced renewable integration, the paper establishes a structured connection between technical developments in PQIT and their impact on grid sustainability. The overall discussion, analysis, identification of concerns, and recommendations aim to provide engineers, industries, and stakeholders with insightful information and suggestions for further research regarding the emerging possibilities of PQITs in grid decarbonization.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109256"},"PeriodicalIF":7.9,"publicationDate":"2026-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular property prediction: Input types and information processing in machine learning models","authors":"Muhammed Thameem ,&nbsp;Obaid AlHmoudi ,&nbsp;Ahmad Al Salloum ,&nbsp;Naeema Al Darmaki ,&nbsp;Ali Elkamel ,&nbsp;Ali A. AlHammadi","doi":"10.1016/j.rineng.2026.109241","DOIUrl":"10.1016/j.rineng.2026.109241","url":null,"abstract":"<div><div>Molecular property prediction is at the core of machine learning (ML)-driven materials and drug discovery. Effectively navigating the ML workflow requires careful consideration of molecular representations, input preparation strategies, and model architectures. This review aims to provide an intuitive understanding of information processing and input construction in different machine learning models, offering guidance on how different ML approaches align with various prediction tasks and molecular representations. The methodologies are broadly categorized into descriptor-based, string-based, and graph-based models, with greater emphasis placed on graph-based approaches due to their superior ability to capture molecular structure and spatial geometry. Within the string-based category, focus is given to transformers and large language models (LLMs), which are gaining increasing attention owing to their success in natural language processing (NLP). Among graph-based models, the emerging class of geometric graph neural networks (Geometric GNNs) is discussed in detail, as these models represent the current state of the art across multiple benchmark datasets in molecular property prediction.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109241"},"PeriodicalIF":7.9,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A comprehensive review on nanofluids applications in the machining industry: challenges in nanofluids","authors":"Seyed Hasan Musavi ,&nbsp;Davood Domiri Ganji","doi":"10.1016/j.rineng.2026.109220","DOIUrl":"10.1016/j.rineng.2026.109220","url":null,"abstract":"<div><div>Recent studies on developing in manufacturing processes with economic and environmental-friendly logics have shown that many researchers are inclined to replace inefficient techniques with the new and efficient ones. Meanwhile, the machining industry, with its wide range of different processes, has accounted for a large share of industrial production. Cutting fluid (CF) is an inseparable part of machining processes, which their detailed study can have comprehensive feedback, including production costs, product quality, and human and environmental health. Knowing that over 65 % of lubricants disposals return to the environment with no purification process, and increasing regulations over pollution, therefore, suitable lubricant is demanded to replace with risky and low-efficiency one. The use of nanofluids is a practical solution to problems in today's industry that has been proposed by many researchers around the world. The present study has carefully studied the impact of various nanofluids in different sectors of the machining industry. The challenges of nanofluids such as biological effects, cost of nanoparticle production, and process limitations such as nanoparticles instability, changes in properties at high temperatures, increasing viscosity and pressure drop in transmission line are among the most important factors in the advancement of nanofluids, which were reviewed in the present work. Among them and as an important issue that many researchers haven't studied very well is the instability of the nanoparticles, which leads to nanoparticles adhesion to each other and weakening of the Brownian motion. Therefore, the stability of nanoparticles in the nanofluid is greatly reduced and they deposited rapidly, which fluid environment becomes empty of nanoparticles. Surface active agents (surfactant) can be a solution to this harmful phenomenon, which in the work, it has been tried to explain this issue in detail.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109220"},"PeriodicalIF":7.9,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A systematic review of recent advances in IoT-based sensor networks for warehouse management","authors":"Md. Ruqnuzzaman ,&nbsp;M. Muklasur Rahman Opu ,&nbsp;Md. Rajib Ahmed ,&nbsp;Md Mahamudur Rahaman Shamim ,&nbsp;Md. Nuruzzaman","doi":"10.1016/j.rineng.2026.109195","DOIUrl":"10.1016/j.rineng.2026.109195","url":null,"abstract":"<div><div>Industrial processes have undergone significant changes due to the rapid growth of the Internet of Things (IoT), particularly in warehouse management systems (WMS). These days, IoT-powered sensor networks serve as the foundation for intelligent, networked ecosystems that enable data-driven decision-making, adaptive control, and real-time monitoring throughout international supply chains.</div><div>This systematic analysis summarizes recent advances in IoT-based sensor networks for warehouse management. It focuses on architectural design, communication protocols, data analytics frameworks, and intelligent automation. Using the PRISMA method, 1050 academic publications from 2015 to 2025 were collected from major scientific databases. After removing 250 duplicates, 800 studies remained for review. Of these, 107 strong articles were included in the final analysis.</div><div>The reviewed evidence shows that IoT-enabled sensor systems boost warehouse efficiency. They use energy-optimized connectivity, context-aware routing, edge intelligence, and AI-driven predictive analytics. However, challenges remain in cybersecurity, standardization, data interoperability, and sustainable scaling.</div><div>This stuThis study concludes by highlighting key research gaps and proposing an integrated framework. to guide the development of future warehouse ecosystems that are autonomous, safe, and sustainable. The study also stresses the need for resilience, adaptation, and sustainability in global logistics. It aligns these goals with the human-centric vision of Industry 5.0 and the core ideas of Industry 4.0.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109195"},"PeriodicalIF":7.9,"publicationDate":"2026-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regenerative rice farming for sustaining productivity, reducing energy demand, and methane emissions in India: A comprehensive review","authors":"G.L. Sawargaonkar ,&nbsp;S. Rakesh ,&nbsp;S. Kale ,&nbsp;P.J. Kamdi ,&nbsp;V. Padmaja-Karanam ,&nbsp;R. Pasumarthi ,&nbsp;P. Choudhari ,&nbsp;A. Singh ,&nbsp;M. Patil ,&nbsp;M.K. Gumma ,&nbsp;R. Singh ,&nbsp;A.K. Padhee ,&nbsp;M.L. Jat","doi":"10.1016/j.rineng.2026.109197","DOIUrl":"10.1016/j.rineng.2026.109197","url":null,"abstract":"<div><div>Rice is cultivated on approximately 165 million hectares in over 100 countries, serving as a staple food for &gt;3 billion people. Asia accounts for ∼90% of global rice production, while rice contributes around 40% of India's food grain production. Traditional rice cultivation relies heavily on water resources (between 1000 and 2000 mm), consumes high labour and energy, and emits substantial amounts of methane gases. As estimated, the annual mean atmospheric concentration of methane (CH₄) ranged from 1889 to 2017 ppb (2020 annual mean across India), which is critical and demands an alternative, sustainable solution. Thus, the regenerative rice system stands out as a viable option to address these environmental challenges and can contribute to sustainable agricultural development while also reducing energy demands. This method employs direct seeding in non-puddled fields. It creates an aerobic soil environment, promoting strong rice roots and a median water reduction of 52.5% (IQR: 45–60%; <em>n</em> = 16 studies), thriving on 600–700 mm. Similarly, based on field experiments, an average decrease in energy consumption of 24.5% (IQR: 6.4–42.5%; <em>n</em> = 9 studies) and a 56% reduction in methane emissions (IQR: 34–78%; <em>n</em> = 9 studies) were observed. Regenerative rice contributes to Sustainable Development Goals 2 (Zero Hunger), 12 (Responsible Production and Consumption), 13 (Climate Action), and 15 (Life on Land), while reducing environmental impact compared to a puddled rice system. To evaluate its potential for scaling, this review examines existing research on regenerative rice production systems and proposes directions for future research, extension, and policy advocacy.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109197"},"PeriodicalIF":7.9,"publicationDate":"2026-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146188229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing flexibility in integrated gasification combined cycle systems: the role of syngas storage technologies and operational strategies","authors":"Andrey Clarice G. Gelogo,&nbsp;Angelo Earvin Sy Choi","doi":"10.1016/j.rineng.2026.109164","DOIUrl":"10.1016/j.rineng.2026.109164","url":null,"abstract":"<div><div>Integrated gasification combined cycle (IGCC) systems have a significant role in advancing the transition toward cleaner energy production by enabling the efficient and environmentally responsible use of coal and other carbon-based feedstocks. IGCC systems not only reduce emissions and improve thermal efficiency but also offer integration potential with emerging low-carbon technologies. Integrated gasification combined cycle with syngas storage (IGCC-SS) offers greater operational flexibility, particularly during maintenance periods or sudden power outages, and enhances the ability of the plant to respond to variable energy demands. This review focuses on analyzing syngas storage technologies and their operational considerations to enhance the flexibility, reliability, and scalability of IGCC systems. The feasibility of syngas storage is highly influenced by the physicochemical properties of syngas, which depend on the gasification operating conditions and the type of feedstock. These factors affect syngas composition, energy density, and flammability limits, all of which are critical for safe and effective storage. The integration of syngas storage in IGCC systems provides enhanced operational flexibility, enabling the system to adapt to a broader range of duty cycles and variable energy demands. However, it also has trade-offs, including reduced overall efficiency and increased energy production costs. Therefore, the process design configuration and operational variables must be carefully developed to achieve the optimal balance between performance, reliability, and economic viability. Future research may focus on optimizing syngas storage parameters and the syngas distribution ratio to minimize efficiency losses and enhance the adaptability of IGCC-SS systems to dynamic power grid requirements.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109164"},"PeriodicalIF":7.9,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in bioethanol production from rice straw and husks by physical, chemical, and biological pretreatment methods","authors":"Reema Ningthoujam ,&nbsp;Pankaj Jangid ,&nbsp;Virendra Kumar Yadav ,&nbsp;Rustem Zairov ,&nbsp;S M Mozammil Hasnain ,&nbsp;Annu ,&nbsp;Ashish Patel ,&nbsp;Harish Kumar Dhingra","doi":"10.1016/j.rineng.2026.109162","DOIUrl":"10.1016/j.rineng.2026.109162","url":null,"abstract":"<div><div>Agricultural waste is a major global concern, with the potential to be a value-added material given its composition. Due to the high lignocellulosic content in various types of agro-waste, there has been a drastic increase in demand for bioethanol production. In this review, the investigators comprehensively emphasized the role of various pretreatment techniques in increasing bioethanol production from lignocellulosic biomass (LCB), particularly rice straw (RS). Here, investigators reviewed lignin removal, hemicellulose solubilization, sugar release, and ethanol generation reported in previously published experimental studies. A comparative study of all the available pretreatment approaches for the rice straw was emphasized. Further, the most effective and sustainable pretreatment strategies were identified, and their implications were focused on for scalable bioethanol production. The integrated pretreatment strategies were found to be more effective, sustainable, and scalable for the production of second-generation bioethanol. These methods closely align with the United Nations Sustainable Development Goals (SDGs), particularly SDGs 7, 12, and 13, which promote the generation of renewable biofuels from agricultural residues.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109162"},"PeriodicalIF":7.9,"publicationDate":"2026-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nanomaterials for ballistic protection: Advances and future prospects-a review","authors":"Tibebu Merde Zelelew ,&nbsp;Firdwoyn Siyoum Haile ,&nbsp;Tsedale Mequanent Admasu ,&nbsp;Mestawet Girma Bekele","doi":"10.1016/j.rineng.2026.109126","DOIUrl":"10.1016/j.rineng.2026.109126","url":null,"abstract":"<div><div>The increasing lethality of ballistic threats and the increasing demand for lightweight and portable protection have revealed the critical limitations of conventional armor materials, such as high material density, poor flexibility, and limited multi-hit capability. In response, nanotechnology has emerged as a promising pathway for enhancing ballistic performance without sacrificing mobility. This review critically assesses the recent progress in ballistic protection systems enhanced by nanomaterials, focusing on carbon nanotubes, graphene, boron nitride nanotubes, and nano-enabled shear-thickening fluids (STFs). The analysis reveals that ballistic performance improvements are primarily governed by nanoscale mechanisms such as crack deflection and bridging, enhanced interfacial load transfer, and strain-rate-dependent stiffening. Despite these demonstrated advantages, the review identifies major barriers to practical implementation, including inconsistent nanoparticle dispersion, limited scalability of fabrication techniques, uncertain long-term durability, and environmental and health concerns. Based on these findings, a research roadmap is proposed emphasizing hybrid material architectures, scalable manufacturing strategies, multiscale computational modeling, and sustainable material design. The review concludes that overcoming these challenges is essential for translating nanotechnology-enabled armor systems from laboratory concepts into reliable, field-ready ballistic protection.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109126"},"PeriodicalIF":7.9,"publicationDate":"2026-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077801","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GIS based hybrid multi criteria decision making on the fuzzy environment to delineate flood susceptibility region in kr. keureuto catchment area, North Aceh","authors":"Maimun Rizalihadi ,&nbsp;Alfiansyah Yulianur ,&nbsp;Yuwaldi Away ,&nbsp;Ella Meilianda","doi":"10.1016/j.rineng.2026.109064","DOIUrl":"10.1016/j.rineng.2026.109064","url":null,"abstract":"<div><div>Flood susceptibility mapping is a vital tool for risk assessment and disaster mitigation. This study presents a Geographic Information System (GIS)–based approach that integrates two fuzzy Multi-Criteria Decision-Making (MCDM) methods, fuzzy Analytical Hierarchy Process (FAHP) and fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS), to delineate flood-prone zones in the Kr. Keureuto catchment, north Aceh. The key innovation is applying a generalized-mean ranking method to define context-sensitive ideal and negative‐ideal solutions, replacing the usual fixed fuzzy positive and negative ideal solutions (FPIS/FNIS), to produce more robust weights and rankings under data uncertainty. Eleven hydrological, topographic, and land surface factors were analyzed, including rainfall, flow accumulation, elevation, slope, drainage density, proximity to rivers, topographic wetness index, land use/land cover, vegetation index, curvature, and soil type. Rainfall (weight: 0.223), flow accumulation (0.140), proximity to rivers (0.115), TWI (0.112), and drainage density (0.094) were the most influential factors. The resulting flood-susceptibility map shows that about 38 % of the basin, mainly downstream, is at high to very high risk, while the remaining 62 % is at moderate to low risk. Validation with observed flood records produced an area-under-the-curve- receiver operating characteristic (AUC-ROC) value of 0.921, demonstrating excellent predictive performance. By clearly linking spatial analysis with a more flexible decision framework, this research provides a practical decision-support tool for planners, disaster-management agencies, and local authorities to identify priority zones for structural and non-structural mitigation, guide land-use planning, and strengthen early-warning and evacuation strategies.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109064"},"PeriodicalIF":7.9,"publicationDate":"2026-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pyrolytic valorization of E-waste Plastics: State-of-the-art, technical roadblocks, and opportunities","authors":"Maha Awjan Alreshidi ,&nbsp;Krishna Kumar Yadav ,&nbsp;Amel Gacem ,&nbsp;C. Joel ,&nbsp;S. Padmanabhan ,&nbsp;S. Ganesan ,&nbsp;L. Guganathan ,&nbsp;P. Saravanan ,&nbsp;Kamal Y Thajudeen ,&nbsp;Ahmed M. Fallatah ,&nbsp;Mohammed Muqtader Ahmed ,&nbsp;Saad Ali Alshehri ,&nbsp;G. Shoba ,&nbsp;Varagunapandiyan Natarajan ,&nbsp;C. Kavitha ,&nbsp;P. Tamizhdurai ,&nbsp;A. Subramani ,&nbsp;R. Kumaran","doi":"10.1016/j.rineng.2026.109036","DOIUrl":"10.1016/j.rineng.2026.109036","url":null,"abstract":"<div><div>The escalating generation of electronic waste (e-waste) has rendered conventional disposal methods such as landfilling and incineration increasingly inadequate due to their associated environmental hazards, energy demands, economic inefficiencies, and poor material recovery rates. These traditional practices fall short in addressing the dual imperatives of resource efficiency and sustainable development. As an alternative, pyrolysis has emerged as a promising strategy for managing electronic plastic waste, offering notable advantages in terms of resource recovery and environmental protection. This review provides a comprehensive examination of five advanced pyrolysis techniques: vacuum pyrolysis, catalytic pyrolysis, co-pyrolysis, microwave-assisted pyrolysis, and plasma pyrolysis. It delves into their underlying reaction mechanisms, current development trends, and the technical challenges faced in practical applications. By analyzing experimental results and real-world implementations, the strengths and limitations of each method are critically assessed. While pyrolysis presents a viable route for the valorization of electronic polymers, its commercial deployment is hindered by challenges such as material degradation, catalyst performance, and energy optimization. To bridge the gap between research and industrial application, future efforts must prioritize the development of robust catalytic systems, integration of hybrid technologies, intelligent process control, comprehensive life-cycle assessments, and pilot-scale validation. Advancing these fronts will be essential for transitioning pyrolysis from experimental setups to scalable, environmentally responsible industrial operations. Future opportunities include microwave-assisted thermal storage for energy efficiency, multi-stage catalytic systems for contaminant removal, and hybrid plasma–catalytic approaches to improve cracking. Integrating digital tools such as machine learning and digital twin modeling can enable real-time optimization, accelerate scale-up, and strengthen the role of pyrolysis in advancing circular economy goals.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"29 ","pages":"Article 109036"},"PeriodicalIF":7.9,"publicationDate":"2026-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}