Recent Patents on Mechanical Engineering

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Aims and Scope:
Recent Patents on Mechanical Engineering publishes review and research articles that reflect or deal with studies in relation to a patent, application of reported patents in a study, discussion of comparison of results regarding application of a given patent, etc., and also guest edited thematic issues on recent patents in the field of mechanical engineering. A selection of important and recent patents on mechanical engineering is also included in the journal. The journal is essential reading for all researchers involved in mechanical engineering. The journal also covers recent research (where patents have been registered) in fast emerging analytical methods, designs, manufacturing and analysis of automobiles, aircrafts, aerodynamics, manufacturing plants, industrial instruments, industrial fluid power and control, machines, mechatronics, biomechanics, robotics, robot rehabilitation, lubrication and wear, acoustics and noise, heating and cooling systems, solar energy, turbines, vibration & control and processes involved and related to mechanical engineering.
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Editor-in-Chief:

  • Song Mengjie Department of Energy and Power Engineering
    School of Mechanical Engineering
    Beijing Institute of Technology
    Beijing
    China

ISSN: 1874-477X

Special Issues With Active Call for Papers

Submission closes on: May 11, 2026
Recent Patents on Smart and Additive Manufacturing

With the help of modern technologies smart and additive manufacturing is getting the strength of automation, intelligence and productivity in the industrial landscape. This special issue will highlight recent patents that reflect advances across the range of manufacturing sectors, from additive manufacturing, through advanced casting techniques, precision joining, novel welding techniques, friction stir processing, and conventional and unconventional machining methods. This includes new advancements in additive manufacturing like selective laser sintering (SLS), direct metal laser sintering (DMLS),... see more

Guest Editor(s): Dr. Vikas Sharma
Co-Guest Editor(s): Dr. Abdul Wahab Hashmi
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Submission closes on: Apr 02, 2026
AI and Blockchain Integration for Decentralized Autonomous Vehicles - Challenges and Innovations

The development of autonomous vehicles (AVs) holds up a plethora of exciting possibilities, such as enhanced safety and decreased energy usage, pollution, and traffic jams. These engines do, however, contain a number of security and privacy flaws that, if ignored, could negate the anticipated advantages. AVs will give hackers new ways to launch destructive assaults, which is a serious risk to data security and mobility in the future. AI can optimize the blockchain's architecture to... see more

Guest Editor(s): Dr. Makhlouf Derdour
Co-Guest Editor(s): Dr. Gregorio Solorio Díaz-Descalzo,Dr. Philippe Roose
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Submission closes on: Mar 19, 2026
Leveraging Image Processing for Automated Quality Control in Manufacturing: A Deep Learning Approach

Automated quality control in manufacturing is crucial for ensuring product reliability, especially in industries where safety and precision are paramount. Traditional visual inspection methods, reliant on human operators, are prone to fatigue-induced errors, necessitating advanced solutions. This thematic issue explores the application of deep learning-based machine vision for surface defect inspection and quality control in industrial manufacturing. Deep learning techniques offer scalable, adaptable solutions for identifying faulty components, performing object recognition, and analyzing product dimensions... see more

Guest Editor(s): Dr. Md Sipon Miah
Co-Guest Editor(s): Dr. Mingbo Niu,Dr. Veera Talukdar
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Submission closes on: Mar 12, 2026
Swarm Intelligence in Robotics: Coordination, Adaptation, and Autonomy

Swarm Intelligence (SI) is a multi-agent framework inspired by natural swarm behaviors, where independent agents interact locally to achieve a global objective without central control. These systems exhibit scalability, robustness, and adaptability, though practical applications remain limited. SI uses simple local rules to generate complex behaviors through agent interactions with their environment or peers. Swarm robotics, a subset of SI, employs decentralized control and self-organization, using many simple robots to tackle complex tasks collaboratively. By... see more

Guest Editor(s): Dr. Norita Md Norwawi
Co-Guest Editor(s): Dr. Zahriddin Muminov,Dr. Fatih Gokce
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Submission closes on: Feb 27, 2026
Integration of AI/ML Approaches in Developing Novel Materials and Structures

Use of Artificial intelligence (AI) and Machine Learning (ML) seems to be rapidly increasing for material chemistry, property evaluation and optimizing material properties. Also due to rapid increase of the computational power and speed AI occupied the center-stage of novel material development. Traditional methods of developing new materials involves limitations like extensive testing and validation, delay in new product development and escalate expenses and complex conditions for predicting a material's behavior can be overcome by... see more

Guest Editor(s): Dr. Mahendra Gaikwad
Co-Guest Editor(s): Dr. Jashanpreet Singh,Dr. Vandana Sharma,Prof. Kavindra Kesari
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Submission closes on: Jan 11, 2026
Digitalization in Engineering Sector in Industry 5.0 Era

The advent of Industry 5.0 marks a transformative era in the engineering sector, characterized by the integration of advanced digital technologies with human-centric design principles. This paradigm shift prioritizes sustainability, resilience, and collaboration between human expertise and cutting-edge digital systems such as artificial intelligence (AI), the Internet of Things (IoT), and blockchain. Digitalization in the engineering domain fosters unprecedented levels of efficiency, precision, and innovation by streamlining workflows, enabling real-time monitoring, and enhancing predictive maintenance... see more

Guest Editor(s): Dr. Tonni Agustiono Kurniawan
Co-Guest Editor(s): Dr. Kristianus Oktriono
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Submission closes on: Jan 08, 2026
Advancements in Mechanical Engineering: New Energy Materials, Energy Conversion, and Emerging Technologies

This special issue focuses on the latest advancements in mechanical engineering, specifically in the areas of new energy materials, energy conversion, and emerging technologies. It aims to explore innovative materials for energy generation, storage, and transmission, such as advanced thermoelectric, piezoelectric, and renewable energy materials, as well as fuels for energy production, including biofuels and synthetic fuels. Additionally, it will cover cutting-edge technologies for energy conversion, including efficient thermal, mechanical, and electrical systems, alongside emerging... see more

Guest Editor(s): Dr. Anish Mariadhas
Co-Guest Editor(s): Dr. Jayaprabakar J,Dr. Nivin Joy
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Sandip Kunar
Co-Guest Editor(s): Dr. Gurudas Mandal
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Linh H. Tran
Co-Guest Editor(s): Dr. Adedayo Ademola Yusuff,Dr. Abulwafa Muhammad
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Agustinus Noertjahyana
Co-Guest Editor(s): Dr. Zuraida Abal Abas,Dr. Fitri Marisa,Dr. M. Zainal Arifin
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Emmanuel Gbenga Dada
Co-Guest Editor(s): Dr. Stephen Joseph Bassi,Dr. Ayodele Lasisi
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Abhijit Bhowmik
Co-Guest Editor(s): Dr. Binayak Sen,Dr. Jitendra Kumar Katiyar
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Submission closes on: Dec 31, 2025
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

Guest Editor(s): Dr. Md. Tarek Habib
Co-Guest Editor(s): Dr. Abdullah Al-Mamun,Dr. Ismail Jabiullah
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Submission closes on: Dec 06, 2025
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

Guest Editor(s): Dr. Joseph Bamidele Awotunde
Co-Guest Editor(s): Dr.Akash Kumar Bhoi,Dr.Paolo Barsocchi
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Submission closes on: Nov 30, 2025
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

Guest Editor(s): Dr. Norshakirah Aziz
Co-Guest Editor(s): Dr. Hiroyuki Iida,Dr. Abdullahi Abubakar Imam
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Submission closes on: Nov 23, 2025
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

Guest Editor(s): Dr. Fahad Taha Al-Dhief
Co-Guest Editor(s): Dr. Musatafa Abbas Abbood Albadr,Dr. Selim Hossain
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