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Search Results: MENG
Recent Patents on Mechanical Engineering
ISSN: 2212-7976 (Print)
eISSN: 1874-477X (Online)
CiteScore:
0.8
Editor-in-Chief:
School of Mechanical Engineering
Beijing Institute of Technology
Beijing
China
Special Issues With Active Call for Papers
Advances in Micromanufacturing Processes.
This special issue welcomes original high-quality research papers in the areas of traditional and advanced Micromanufacturing Science and Technology. To name some of the areas but not limited to, are as follows: Micromachining, Nanofinishing, Microjoining, Microforming, Microforging, Microcasting, Additive microfabrication, High aspect ratio fabrication, Lithography, LIGA, Micro- / nano-metrology, Micro and Nanosystem applications (MEMS, NEMS, etc.), Machine tools design and development for micromanufacturing processes and the related areas. The aim of this journal does not... see more
Bio-inspired Optoelectronics for Solar Energy Conversion
The development and manufacture of micro/nanostructures on optoelectronic materials and protection layers to provide a range of capabilities have been made possible by bio-inspiration and advancements in nanomanufacturing methods. These designed surfaces may be employed in both conventional rigid structures and the new flexible variants in numerous optoelectronic devices, including touch panels, solar modules, gadgets, and mobile devices. Effective photon manipulation, such as lowering incoming radiation loss and improving emitted photon extraction, may be achieved... see more
Opportunities of Emerging Materials Processing for Enhanced Manufacturing in Industry 4.0
This proposed special issue aims to explore the transformative potential of emerging materials processing techniques in the context of Industry 4.0, focusing on the opportunities they present for enhancing manufacturing processes. As Industry 4.0 continues to revolutionize the global manufacturing landscape, the integration of cutting-edge materials processing technologies becomes paramount for achieving improved efficiency, sustainability, and product innovation. This aims to foster a deeper understanding of the role of emerging materials processing in advancing Industry... see more
SUSTAINABLE MACHINING FOR ENVIRONMENTAL AND ECONOMIC IMPACT
Sustainable machining is a principle that seeks to minimize the adverse environmental and economic consequences of machining processes, which involve the utilization of diverse tools and machines to cut, shape, or remove material from a workpiece. Sustainable machining entails maximizing resource utilization, including energy, materials, and tools, by carefully selecting the most efficient and effective machining parameters and conditions. It involves minimizing the production of waste and emissions, such as chips, coolant, dust, noise, and... see more
Digital Twins in Industrial Networks for Predictive Maintenance Using Neural Networks
Predictive maintenance, supported by digital twins, enhances industry profitability, safety, and sustainability. Digital twins—accurate digital replicas of physical systems—provide real-time data for predicting asset wear and ensuring efficient maintenance. Integrating IoT enables seamless communication between digital and physical systems, enhancing predictive capabilities. Digital twins aid in preventing service erosion and optimizing heat exchange efficiency. As industries advance, cognitive digital twins are being developed to apply industry expertise and address the complexities of Industry 4.0. Additionally,... see more
Data-Driven Optimization of Manufacturing Processes using Machine Learning and Data Visualization
This special issue explores the transformative impact of data-driven optimization in the aerospace sector and manufacturing process, where complex, multipurpose challenges arise. As manufacturing digitizes, modest and medium-sized businesses encounter issues such as lack of expertise, funding, and varied, opaque data formats. Machine learning and big data methodologies offer solutions to these challenges, enabling efficient, precise optimization strategies for multidimensional, nonconvex problems in sectors like aerospace. The issue highlights the potential of prescriptive maintenance in... see more
Enhancing the Design and Performance of Composite Materials by utilizing the Synergy of Modelling, Experiments, and Collaboration Across Multiple Disciplines
Explore the future of new materials in our special issue called "Enhancing the Design and Performance of Composite Materials." This collection combines cutting-edge modelling, real-world tests, and brilliant teamwork across fields to unleash a symphony of insights. Explore how this synergy changes composite materials, from amazing spacecraft to medical breakthroughs. Become immersed in the place where academic knowledge meets hands-on practice. Each article pushes us towards new levels of strength, flexibility, and usefulness. Take a... see more
Recent Advances in Mechanical Engineering and Nanomaterials
Recent Advances in Mechanical Engineering and Nanomaterials (RAMEN) includes all the major fields in Mechanical Engineering and Nanoscience. RAMEN covers a wide range of research in all disciplines of science, engineering and medicine. RAMEN aims to publish the outstanding and latest research articles and strives to publish quality articles. RAMEN also aims to serve the scientific community by exploring the ideas of the scientific researchers, it plays a key role in the exposure of their... see more
Harnessing the Power of Artificial Neural Networks in Modern Computing
Artificial Neural Networks (ANNs) have revolutionized the landscape of modern computing, offering transformative advancements across fields such as healthcare, robotics, and natural language processing. Inspired by biological neural networks, ANNs excel at complex data processing, pattern recognition, and decision-making tasks. Pioneering models like CNNs, RNNs, and GANs have expanded the applications of ANNs, enabling breakthroughs in image analysis, sequential data processing, and creative data generation. In healthcare, for example, ANNs assist in diagnostics and personalized... see more
The Genome Era: Advances and Applications in Bioinformatics
The Genome Era, fueled by advancements in bioinformatics, has transformed DNA sequencing across individuals, communities, and ecosystems with next-generation sequencing (NGS) technologies, drastically reducing costs and time. Sophisticated algorithms, databases, and tools now address the challenges of managing vast genetic data, enabling genome assembly, annotation, and analysis with increasing precision. Machine learning and AI enhance predictions of gene functions, protein structures, and disease connections. In healthcare, bioinformatics drives personalized medicine, early diagnosis, and targeted treatments... see more
Safety, Security, and Risk Management in Critical Industrial Sectors
Critical industrial sectors underpin the functioning of society, and their safety, security, and risk management are paramount. Increasingly sophisticated cyber threats and physical vulnerabilities pose significant risks to these sectors, with potential catastrophic impacts on societal well-being. This thematic issue focuses on advancing state-of-the-art solutions to safeguard critical infrastructures, emphasizing the role of intelligent surveillance, cybersecurity frameworks, and innovative technologies like AI, deep learning, and advanced data analytics. Key topics include securing Supervisory Control and... see more
Emerging Trends in the Medical Imaging and Image Processing
Medical professionals rely on analyzing and interpreting intricate medical data, including imaging, which often leads to subjective variability and fatigue. With the success of deep learning in various domains, it has emerged as a promising solution for advancing medical imaging. Deep learning techniques have shown potential in enhancing image processing tasks such as diagnosis, segmentation, and anomaly detection, offering precise and innovative solutions. Artificial intelligence (AI) further aids in analyzing complex radiographic patterns, providing quantitative... see more
Micro-/Nano-scale Heat Transfer and Flow
Micro-/Nano-scale heat transfer and flow are seen in many mechanical and electronic equipment and systems, and thus have attracted a great deal of attention. With advances in manufacturing technologies, an increasing number of microstructures have been used to control the micro-/nano-scale heat transfer and flow in recent decades. For example, micro-/nano-structured surfaces are applied to enhance boiling heat transfer and achieve a potentially higher critical heat flux, superhydrophobic surfaces with two-stage structures show promising applications... see more