Metallurgical Investigation Of A Modified Eye Bolt Failure Caused By Improper Weld Extension, Specification Deviation, And Crevice Corrosion,
2026
Department of Metallurgical and Materials Engineering, Faculty of Engineering, Universitas Indonesia, Depok, West Java, 16424, Indonesia
Metallurgical Investigation Of A Modified Eye Bolt Failure Caused By Improper Weld Extension, Specification Deviation, And Crevice Corrosion, Dimas Muhammad Fawwaz, Reza Miftahul Ulum, Johny Wahyuadi Soedarsono, Yudha Pratesa
Journal of Materials Exploration and Findings
A modified eye bolt from the David Arm Manhole Storage Tank underwent thorough metallurgical study due to the consequences of the bolt's malfunction during operation. Safety issues arose when the manhole door detached during operation. The mechanical testing and chemical composition analysis of the bolts indicated they were manufactured from an ASTM A193 Grade B7 material used for high-temperature bolting. This material did not conform to the engineering drawing, which mentioned SA 563A, which is about nuts, not bolts. This contradiction clearly shows that the eye bolt which was installed does not conform to the intended design. Welded connections of …
Rejection Of Fe (Iron) And Kmno4 (Organic Substance) Parameters In Peat Water Using Organic Membranes,
2026
Department of Environmental Engineering, Faculty of Engineering, Batanghari University, Jambi City, Sumatra, 36122, Indonesia
Rejection Of Fe (Iron) And Kmno4 (Organic Substance) Parameters In Peat Water Using Organic Membranes, Muhamad Rafli Sakti Mulia Gonera, Siti Umi Kalsum, Sarah Fiebrina Heraningsih
Journal of Materials Exploration and Findings
Peat water is a surface water source widely used by people in swampy and lowland areas, but it has poor quality characteristics such as high organic matter content, low pH, and dissolved metal levels such as iron that exceed the threshold. These conditions can cause health problems and reduce the quality of clean water so that effective treatment technology is needed. This study aims to analyze the effectiveness of ultrafiltration membranes made from chitosan from shrimp shell waste in rejecting iron (Fe) and organic substances in peat water, and to determine the effect of pressure on separation performance. This study …
Pathways And Strategies For Intelligent Economy To Drive High-Quality Development,
2026
Development Research Center of the State Council, Beijing 100010, China; China Center for International Economic Exchanges, Beijing 100050, China
Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …
Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry,
2026
Business School, Shandong University of Technology, Zibo 255012, China; Research Center for National Frontier S&T Integration and Innovation, University of Chinese Academy of Sciences, Beijing 100049, China
Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …
Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications,
2026
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
Global Trends In Coordinated Digital-Intelligent And Green Transformation Of Manufacturing: Experience And Implications, Haiping Zhao, Yaxin Zhao, Lingshuo Song, Ling Jian, Jun Wang, Shuwei Zang, Xiujie Wu
Bulletin of Chinese Academy of Sciences (Chinese Version)
The coordinated digital-intelligent and green transformation of manufacturing is emerging as a major direction for advancing the transformation and upgrading of the global manufacturing sector and reshaping industrial competitive advantages. This study systematically analyzes the evolution of this transformation worldwide, the transformation pathways adopted by different economies, and the strategic priorities of key industries. It then examines Germany, the United States, and Japan as representative cases to illustrate their respective approaches and practices. Drawing on China’s existing development foundations and current shortcomings, the study puts forward corresponding policy recommendations. The findings reveal that the global coordinated transformation has progressively moved …
Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province,
2026
Business School, Shandong Normal University, Jinan 250358, China
Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo
Bulletin of Chinese Academy of Sciences (Chinese Version)
The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …
Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China,
2026
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
Progress, Experience, And Recommendations From Pilot Programs For Coordinated Digital-Intelligent And Green Transformation In Ten Regions Of China, Yingtong Chen, Yupeng Shi, Bin Li, Xue Niu, Qiang Ji, Lin Xiang
Bulletin of Chinese Academy of Sciences (Chinese Version)
Coordinated digital-intelligent and green transformation is an important pathway for advancing high-quality manufacturing development. Focusing on the first batch of comprehensive pilot programs for coordinated digital and green transformation launched in 2023, this study combines literature review, text analysis, and comparative case analysis to examine the practices and phased outcomes of ten pilot regions. It identifies three pathways—digital-enabled green transformation, green-driven digital transformation, and integrated digital-green development—and summarizes key experiences in institutional design, infrastructure restructuring, platform innovation, and tool empowerment. The findings show that the pilot regions have adopted differentiated approaches based on their industrial foundations, resource endowments, and development …
Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry,
2026
School of Economics and Management, China University of Petroleum, Qingdao 266580, China
Development Assessment And Strategic Recommendations For Integrated Digital-Intelligent And Green Technology In China’S Manufacturing Industry, Hongyan Zhang, Yuting Peng, Yajing Sun, Peng Zhou, Yanfei Zhao, Xiangjun Yang, Chao Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
The manufacturing industry is currently under the dual pressure of coordinated digital–intelligent and green transformation, and promoting the deep integration of these two dimensions has become a strategic choice for enhancing industrial competitiveness. Clarifying the current status and future directions of convergence technologies that integrate digital intelligence and green development can help optimize the coordinated transformation pathways for manufacturing, thereby providing strong support for high-quality economic development. Therefore, this study focuses on the technological foundation underpinning the transformation, delineating the development landscape of integrated digital-intelligent and green technologies in manufacturing industry from a patent perspective. The study analyzes the current …
Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China
Critical Core Technology Breakthroughs In Large-Scale Models: Industrialization Strategies And Policy Implications, Zhongqi Wu, Yinshan Liu, Tao Dai, Xiaolong Zheng
Bulletin of Chinese Academy of Sciences (Chinese Version)
As a pivotal direction for breakthroughs in key core technologies within the artificial intelligence domain, large-scale models hold strategic significance in securing national scientific and technological sovereignty. This study employs a multidimensional framework encompassing “technological breakthroughs, industrial transformation, and governance policies” to systematically investigate the developmental trajectories and industrialization bottlenecks of large-scale models. At the technological level, while large-scale models exhibit exponential growth in parameter scale and computing power demands, they face critical challenges including the scarcity of high-quality data, insufficient transfer learning capabilities, and reliability-explainability trade-offs. Industrially, these models are reshaping the global industrial chain landscape through a dual-track …
Evolutionary Trajectory Of Ai And Robotics Integration,
2026
Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Evolutionary Trajectory Of Ai And Robotics Integration, Jiannan Zhu, Jianfeng Guo, Siyao Liu, Qi Cao
Bulletin of Chinese Academy of Sciences (Chinese Version)
The convergence of artificial intelligence (AI) and robotics is a cornerstone for the intelligent transformation of the physical world. This study conducts a systematic analysis of over 230,000 publications from the Web of Science and WIPO databases between 1982 and 2025 to dissect the evolutionary trajectory of AI and robotics integration since the 20th century. The findings identify four distinct developmental stages—independent exploration, functional coupling, primary intelligence, and intelligent symbiosis—while delineating the key technological breakthroughs and paradigm characteristics of each phase. Furthermore, seven core research thrusts are distilled, including motion planning and autonomous decision-making and perception & environmental understanding. An …
Website: Home,
2026
University of Mississippi
Website: Home, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Website: Latest Results,
2026
University of Mississippi
Website: Latest Results, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Website: News And Events,
2026
University of Mississippi
Website: News And Events, Zhiqu Lu, Likun Zhang, Lei Cao
Gulf Research Program Data Sets
No abstract provided.
Percolation-Induced Thermo-Rheological Transitions In Biobased Graphene Nanoplatelet Nanofluids,
2026
Missouri University of Science and Technology
Percolation-Induced Thermo-Rheological Transitions In Biobased Graphene Nanoplatelet Nanofluids, Abiodun A. Saka, Tobechukwu K. Abor, Anthony C. Okafor, Monday U. Okoronkwo
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Biobased lubricants with thermally responsive rheology are increasingly needed for high-efficiency mechanical systems. Graphene nanoplatelet (GnP) nanofluids in vegetable oils are promising candidates, yet their percolation-driven thermo-rheological transitions remain insufficiently understood. In particular, the coupled concentration–temperature landscape controlling network-mediated flow transitions has not previously been established. Here, surfactant-free GnP nanofluids were prepared in high-oleic soybean oil (HOSO) at concentrations of 0.025–2.15% v/v (ϕ), and their rheological response was mapped between 25°C and 80 °C under steady-shear and oscillatory conditions. Below the percolation threshold (ɸ ≤ 0.1% v/v), the nanofluids exhibit near-Newtonian behavior, moderate reversible viscosity enhancement, and classical Arrhenius-type temperature …
Quantification Of Uncertainty Propagation For Transient Heat Transfer In A Hollow Sphere,
2026
Air Force Institute of Technology
Quantification Of Uncertainty Propagation For Transient Heat Transfer In A Hollow Sphere, Rama Subba Reddy Gorla, Lochlan Joyce, Elie John Barbari
Faculty Publications
Uncertainty propagation and transient heat transfer for a hollow sphere are analyzed. The stochastic Biot number, stochastic linear non-dimensional initial conditions, and various boundary conditions are introduced to define uncertainty propagation influencing the temperature distribution throughout the hollow sphere. The resulting uncertainty amplitude was observed to have transient evolution in time. The uncertainty can either increase or decrease depending on the stochastic parameters. Results are presented for the variation in temperature due to uncertainties in the initial conditions and particular boundary conditions.
Optimization Of Gas Consumption, Cost And Production Rate For Computerized Numerical Control Oxy-Acetylene Flame Cutters,
2026
Department of Mechanical and Industrial Engineering, University of Dar es Salaam, P.O. Box 35131, Dar es salaam Tanzania.
Optimization Of Gas Consumption, Cost And Production Rate For Computerized Numerical Control Oxy-Acetylene Flame Cutters, Eustace K. William, Simon I. Marandu, Enock W. Nshama
Tanzania Journal of Science
This study examined the impact of flame cutting parameters (i.e., cutting speed, plate thickness and nozzle diameter) on oxy-acetylene gas consumption, cost and production rate. A full factorial design of experiments was used to generate 27 experiments, which were conducted using a CNC flame cutter. The analysis of variance (ANOVA) method was used to determine significant process parameters, followed by regression analysis using the MINITAB ® software. The technique for order preference by similarity to ideal solutions (TOPSIS) was used to determine the optimal cutting parameters for minimizing the consumption and cost estimation of oxy- acetylene gas and maximizing the …
Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance,
2026
Utah State University
Sensitivity Study Regarding Abs Formulation On Hybrid Rocket Performance, Ava T. Wilkey, Ryan J. Thibaudeau, Stephen A. Whitmore
Mechanical and Aerospace Engineering Student Publications and Presentations
Acrylonitrile butadiene styrene (ABS) has emerged as a widely adopted solid fuel for hybrid rocket propulsion due to its compatibility with fused deposition modeling and favorable regression characteristics. As a terpolymer, however, ABS monomer mass fractions vary across commercial sources, introducing thermochemical variability that is rarely accounted for in propulsion modeling. This study presents a sensitivity analysis examining how compositional variability among ten commercially available ABS feedstock propagates into hybrid rocket performance predictions. Each source was characterized using bomb calorimetry and Fourier-transform infrared spectroscopy to derive source-specific constituent mass fractions and enthalpies of formation, which were supplied to NASA’s Chemical …
Selfish Herd: Emergence Of Distributed Sensing,
2026
Embry-Riddle Aeronautical University
Selfish Herd: Emergence Of Distributed Sensing, Timothy Mascal
Discovery Day - Daytona Beach
The problem of multi-agent swarm formation control seeks decision frameworks that exhibit desirable emergent behavior, including distributed sensing and communication, while remaining resilient to environmental noise. Previous work has demonstrated that the Selfish Herd Model is not only resilient to simulated sensor noise but performs better in its presence. This work further investigates the emergent behaviors of the Selfish Herd Model, particularly distributed sensing, by investigating whether the swarm achieves global stability equivalent to that observed in previous work utilizing global knowledge. A parameter variation study was performed across varying agent visual range and maximum neighbor count inputs to simulate …
Agar-Natural Polymer Composites For Packaging Applications,
2026
Embry-Riddle Aeronautical University
Agar-Natural Polymer Composites For Packaging Applications, Alaa Alnatsheh
Discovery Day - Daytona Beach
Global plastic production reached 359 million metric tons in 2018, with packaging accounting for about 31% of total use and expected to continue increasing toward 2060. Recycling remains limited, with approximately 66% of recyclable packaging in the United States not being recycled. These challenges have increased interest in biodegradable materials derived from renewable sources. Agar, a polysaccharide extracted from red seaweed, has strong film-forming ability but shows limitations such as low mechanical strength and high water sensitivity. This study investigates agar-based bioplastic films using three formulation approaches: agar-starch (binary), agar-starch-chitosan (ternary), and agar with nanocellulose (nano-enhanced). Films were prepared using …
The Regeneratively Cooled Engine Development (R.E.D.) Project,
2026
Embry-Riddle Aeronautical University
The Regeneratively Cooled Engine Development (R.E.D.) Project, Joseph Traverso, Sharjeel Malik, Ford Catlin
Discovery Day - Daytona Beach
The Experimental Rocket Propulsion Lab (ERPL) is a student-run organization dedicated to designing, building, and testing experimental rocket engines. With ERPL transitioning toward flight vehicles, developing engines with longer burn times is critical to future club success. One limitation to burn time is an engine’s ability to withstand extreme combustion temperatures, typically in excess of 5000 F. ERPL engines have found success with passive cooling techniques such as ablative, heatsink, and film cooling, but these techniques aren’t suitable for extended burn times. Therefore, ERPL has created the Regeneratively cooled Engine Development (R.E.D) project, with the objective to design, analyze, and …
