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ISSN: 1000-9345
CN: 11-2737/TH
e-ISSN: 2192-8258

Recent progress and challenges of key technologies in robotic assembly

How to substitute the human operator with a robot in various assembly tasks has to be taken into full consideration in intelligent manufacturing. Autonomous robotic assembly not only brings with high...

A Comprehensive Review on Passive RFID Sensors for Structural Health Monitoring: Developments, Challenges, and Opportunities

In this paper, a detailed review of passive RFID sensors for structural health monitoring applications, i.e., crack quantification, strain deformation, and corrosion detection for metallic materials,...

Advanced forming technologies for integrated metal components with extreme size and structure: State-of-the-art and perspectives

In aerospace, nuclear power, and new energy vehicles industries, utilizing integrated metal components with extreme sizes and/or structures is crucial for achieving significant weight-saving, performance-improvement,...

Autonomous driving scenario generation based on neural radiance fields or 3D Gaussian splatting: State-of-the-art investigations, reviews, and perspectives

Reconstruction of autonomous driving scenarios plays a pivotal role in vehicle testing. In recent years, approaches based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3D GS) have opened...

Design and mechanical characterization of discretely assembled mechanical metamaterials for macroscale applications

Manufacturing large-scale mechanical metamaterials (MMs) is extremely challenging owing to the limitations of machining technology and equipment. This study proposes a family of discretely assembled...

XJTU-DV: Open-source dynamic vision dataset for non-contact vibration measurement and fault diagnosis of mechanical systems

Vibration measurement is of great importance for fault diagnosis and prognosis of mechanical systems in the literature. Non-contact vibration measurement methods have been attracting growing attention...

LMPHM: Fault Inference Diagnosis Based on Causal Network and Large Language Model-Enhanced Knowledge Graph Network

Current research in mechanical fault inference diagnosis primarily relies on knowledge graph networks (KGN) for reasoning. Compared to traditional diagnostic methods, KGN offers advantages in knowledge...

Effect of alloying elements on the characteristics of metallic biodegradable materials: A review

Biomedical applications necessitate natural or synthetic biomaterials that can maintain, improve, or even replace damaged tissue or a biological function, facilitating healing for people who have suffered...

Modeling and simulation research on the semi elliptical grinding area and temperature field of rail abrasive belt grinding

During the process of rail grinding, the local high temperature generated in the grinding contact area can affect the physical properties of the rail, thereby affecting its service performance. Therefore,...

Review on Reliability Technology for High-end CNC Machine Tools: Overview and Prospect

After several years of research on the reliability of CNC machine tools, many theories and technologies have been developed, which have improved the reliability level of economical CNC machine tools...

Quasi-zero stiffness vibration isolator with variable stiffness and variable damping for ultralow-frequency vibration under variable mass load

A quasi-zero-stiffness (QZS) vibration isolation system presents the characteristics of high-static-low-dynamic, which can effectively isolate ultralow-frequency vibrations. However, most QZS vibration...

Advancements and Theoretical Foundations of Cable-Driven Parallel Robots: A Comprehensive Overview

Parallel robotic mechanisms using cables instead of rigid limbs are termed cable-driven parallel robots (CDPRs). Electric motors and pulley mechanisms actuate cables to provide motion for an end-effector...

Lithium-ion Battery Simulation Optimization and Lifetime Prediction

The rapid development of battery technologies necessitates substantial time and effort to conduct experiments and obtain cell characteristics. To address this challenge, this paper develops an electrochemical-thermal...

A Review of Cyber-Physical Security for Intelligent Connected Vehicles

Intelligent connected vehicles (ICVs) integrate advanced communication, sensing, and computing technologies to significantly enhance traffic efficiency, safety, and driving experience. However, its...

Knowledge extraction and retrieval-augmented generation for intelligent maintenance of wind power equipment based on graph attention networks

The adoption of deep learning in intelligent operation and maintenance of wind turbines has improved fault detection and classification accuracy. However, most existing studies focus primarily on the...

Dynamic behavior of track (rack)-bridge system under running vehicle and temperature load in rack railway

Significant diurnal temperature variations in mountainous rack railways cause stiffness mismatches between the rack structure and simply supported bridges, leading to critical failures like bolt loosening...

An integration of BCI and vision system for Robotics applications: a review

With the rapid advancement of human–robot interaction technologies, the integration of electroencephalogram (EEG)–based brain–computer interface (BCI) systems with computer vision (CV) has become an...

A precise identification-based mode decomposition and its application in mechanical fault diagnosis

Current improved Empirical Mode Decomposition (EMD) methods enhance the accurate identification of peak and valley points in mechanical signals through noise-assisted filtering techniques, thereby improving...

Digital twin‐based error motion monitoring and prediction method for aerostatic spindle

The aerostatic spindle is a key component of ultra-precision machine tools, and its error motion is crucial to machining accuracy and reliability. Spindle error motion is unavoidable, and its online...

Carbon Footprint Estimation and Carbon Data Validation in the Manufacturing Phase of Electromechanical Products

The credibility of product carbon footprint estimates is closely related to the validity of carbon data, both of which are essential for sustainable industrial manufacturing. To address the challenges...

Optimization method of milling feed rate for complex tool path trajectories based on a constant cutting force prediction model

Using a constant feed rate in the complex tool path machining can easily cause sudden changes in cutting force load and fluctuations, reducing the machining efficiency and machining surface quality....

Optimization, Design and Experiment of Knee Joint Mechanism for Hydraulic Bipedal Robot

Hydraulically actuated bipedal robots offer good dynamic locomotion capabilities but face critical challenges in knee joint design, requiring a careful balance between torque output, load-bearing capacity,...

Online monitoring system of preloads for multiple bolted joints in wind turbines

Bolted joints are critical components in wind turbine structures, particularly at the interface between the hub and pitch bearings. Loosening or failure of these joints can lead to bolt fatigue fractures,...

Embodied Digital Twin Driven Human-Centric Collaborative Robot Behavior: Cognitive Inference of Action Strategies

Collaborative robot interacting autonomously with human operators through flexible behavioral strategies poses a significant challenge. The lack of sufficient attention to the status of human operators...

Fully flexible wearable pouch pneumatic artificial muscle based on asymmetric expansion

Pneumatic artificial muscle (PAM) is the core actuating component in wearable devices and soft robots. It typically incorporates rigid elements to enhance actuation performance, leading to reduced wear...

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