Special Issue on Stability Analysis and Control Validation of x-by-wire Chassis Architecture for Autonomous Driving Vehicles
截稿日期: 2026-03-12

Description

The evolution of autonomous driving technology, alongside the ongoing enhancement of automation levels, has spurred a rising demand for actuators with higher response speed and control precision. This evolution has also given rise to numerous innovations in chassis design. The x-by-wire chassis, integrating wheels with advanced electric drive systems such as steer-by-wire systems, brake-by-wire systems, and active suspension systems, has been regarded as one of the most promising electric vehicle architectures by international automotive scholars. Active safety control aimed at enhancing autonomous driving performance is a hot topic for both academia and industry, with the stability region being an important criterion in the vehicle's active safety system. The novel x-by-wire chassis architecture, characterized by significant redundancy features, has also introduced new control strategies through the integration of different actuators, thereby reshaping the vehicle's stability region.

Current research on the active safety control strategies of x-by-wire chassis is still based on the traditional vehicle stability region, resulting in conservative controller designs. Furthermore, the implementation framework of autonomous driving primarily involves the planner generating a collision-free trajectory, which would consider the vehicles’ stability performance. Extensive literature has developed various stability regions for traditional centralized driving chassis and integrated them into the autonomous path-planning and trajectory-tracking process. However, model mismatches can undermine safety planning, rendering the final control trajectory no longer safe.

In this Special Issue, we encourage everyone to focus on developing new solution paradigms for stability analysis and control validation of x-by-wire chassis, while expanding these to achieve autonomous driving planning and control with strong robustness. This includes, but is not limited to, explicitly analyzing stability performance to achieve robust stability under model-based design, as well as developing robust and reliable planning methods. Our focus extends beyond mere theoretical advancement and novelty; instead, we strongly encourage researchers to diligently address the challenges in the realms of stability analysis, motion planning, and active safety control strategies of autonomous driving vehicles, all prompted by the introduction of novel x-by-wire chassis.

Potential topics include but are not limited to the following:

    Stability Analysis and Control Validation of x-by-wire Chassis
    Modeling, States Estimation and Control of x-by-wire Systems
    Coordinated Control among Different x-by-wire Systems
    Handling Stability Control of Autonomous Driving
    Fault-tolerant Control Technology of x-by-wire Systems
    Efficient Torque Vectoring Control Strategies
    Robust Path Planning Methods with Stability Guarantees
    Robust Trajectory Tracking Control Methods
    Risk Aware Planning in Autonomous Driving
    Human-machine Interactive Dynamics Modeling and Control

Special Issue on Innovations in Compressible Multiphase Flows: Modeling, Simulation, and Applications
截稿日期: 2026-03-24

Description

Compressible multiphase flows are of significant importance in various engineering and scientific fields, such as aerospace, energy, environmental science, and industrial processes. These complex flows involve interactions between different phases (e.g., gas-liquid, gas-solid) under compressible conditions, presenting unique challenges in modeling, simulation, and experimental investigation. The accurate prediction and understanding of compressible multiphase flows are crucial for optimizing performance, enhancing safety, and reducing environmental impacts in numerous applications, such as rocket propulsion, gas-liquid reactors, and atmospheric phenomena. This special issue aims to provide a comprehensive platform for researchers worldwide to present their latest innovations, advancements, and breakthroughs in the modeling, simulation, and applications of compressible multiphase flows. This special issue will not only highlight the state-of-the-art research but also identify emerging trends and future directions, making it a valuable resource for both academic and industrial communities

Potential topics include but are not limited to the following:

    Advanced numerical modeling techniques for compressible multiphase flows
    • Experimental studies and validation of compressible multiphase flow
    • Applications of compressible multiphase flows in aerospace engineering
    • Shock wave interactions with multiphase media
    • Droplet and bubble dynamics in compressible environments
    • Computational fluid dynamics (CFD) simulations of compressible multiphase flows
    • Innovative experimental methods for studying compressible multiphase flows
    • Industrial applications of compressible multiphase flow technologies
    • Environmental impacts and mitigation strategies for compressible multiphase flows
    • Data-driven approaches for analyzing compressible multiphase flow phenomena

Special Issue on AI Innovations in Engineering and Smart Manufacturing
截稿日期: 2026-07-30

Description

Artificial intelligence (AI) is reshaping engineering and advanced manufacturing, powering intelligent, interconnected production systems that define Industry 4.0. From machine learning enhancing design processes to cyber-physical systems enabling real-time adaptability, AI addresses critical challenges such as efficiency, safety, and sustainability with remarkable precision. This special issue of the Journal of Engineering invites submissions to investigate how AI is revolutionizing engineering applications and smart manufacturing, driving innovation across diverse industrial sectors.

This special issue aims to gather cutting-edge research and comprehensive reviews on the integration of AI in engineering and advanced manufacturing. By fostering interdisciplinary collaboration among engineers, AI specialists, and manufacturing experts, it seeks to illustrate how AI improves system design, optimizes production processes, and tackles industrial challenges like scalability and environmental impact, advancing the development of smart manufacturing technologies.

Significance of the Collection-

This special issue will serve as an essential resource for engineers, researchers, and industry leaders by presenting high-quality research on AI’s transformative role in engineering and manufacturing. It will enhance understanding of sustainable and innovative engineering practices, supporting initiatives like India’s Atmanirbhar Bharat campaign, and contribute to global competitiveness in smart manufacturing technologies.

Potential topics include but are not limited to the following:

    AI for Engineering Process Optimization: Machine learning and deep learning for real-time control, parameter optimization, and quality assurance in engineering processes (e.g., machining, assembly).
    Predictive Maintenance in Engineering Systems: AI-driven analytics for monitoring equipment health, detecting faults, and estimating the lifespan of industrial machinery.
    AI in Manufacturing Design: Applications of AI in optimizing product designs, defect prevention, and process simulation for advanced manufacturing techniques.
    Human-Machine Integration: AI-enabled systems for safe and efficient collaboration between humans and robots in engineering and manufacturing environments.
    Sustainable Engineering Solutions: AI strategies for reducing resource consumption, optimizing energy efficiency, and implementing digital twins for real-time system analysis.

Special Issue on Micro/nanofluidics for biomedical applications
截稿日期: 2026-12-01

Description

Micro/nanofluidics, the science of manipulating fluids and bioparticles within micro/nanoscale confinements, has ushered in a paradigm shift in biomedical research and clinical diagnostics. This technology presents compelling advantages over conventional methods, including minimal sample consumption, high operational efficiency, compact device architecture, integrated functionality, and exceptional resolution in manipulation. Its application spectrum spans efficient sample preparation, single-cell analysis, high-throughput cytometry, organ-on-a-chip systems, and advanced biosensing. These advancements have profoundly enhanced modern biomedical practices. A notable example is the isolation and detection of rare circulating tumor cells (CTCs) and circulating tumor DNA from blood, which provides a non-invasive "liquid biopsy" for early cancer detection, personalized therapy, and treatment monitoring. Consequently, numerous point-of-care testing (POCT) devices have been developed, with several achieving successful commercialization.

Journal of Nanotechnology is calling for submissions of original studies that describe cutting-edge technical innovations and developments in the field of micro/nanofluidics, with a dedicated focus on its biomedical applications. Reviews which are well summarized and of far-sighted prospects are also encouraged.

Potential topics include but are not limited to the following:

    Fundamentals of micro/nanofluidics;
    Emerging technologies for micro/nanofluidics
    Fabrication methods for micro/nanofluidics
    Micro/nanofluidics-based point-of-care testing (POCT) devices
    Application of micro/nanofluidics in biomedical applications