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: Nov 09, 2026
Selected Papers from the 6th International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2025)

Driven by continuous advancements in science and technology, automation has undergone rapid development and serves as a key enabler for intelligent machinery manufacturing. Intelligence is now a major trend in mechanical manufacturing. Propelled by these developments, the 6th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2025) will be held in Dongguan, China from November 28 to 30, 2025. This conference aims to bring together academics and industrial experts to promote research... see more

Guest Editor(s): Dr. Tao Liu
Co-Guest Editor(s): Prof. Dr. Kelin Du,Prof. Dr. Yong Zhong
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Submission closes on: Nov 05, 2026
Integration of AI/ML Approaches in Nonlinear Dynamical Systems

The study of nonlinear dynamical systems has long been a cornerstone of applied mathematics, physics, engineering, and biological sciences. With the advent of Artificial Intelligence (AI) and Machine Learning (ML), new avenues have emerged for modeling, analyzing, and controlling complex dynamical behaviors. This special issue aims to bridge the gap between classical nonlinear system theory and modern AI/ML methodologies, fostering interdisciplinary research that enhances predictive accuracy, computational efficiency, and system understanding. We invite high-quality research... see more

Guest Editor(s): Dr. Praveen Agarwal
Co-Guest Editor(s): Prof. Shilpi Jain,Prof. Clemente Cesarano
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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 the rapid increase in computational power and speed, AI occupied the center stage of novel material development. Traditional methods of developing new materials involve limitations like extensive testing and validation, delay in new product development, escalating expenses, and complex conditions for predicting a material's behavior, which can be overcome... 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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