Scope

Advanced Manufacturing is an online multidisciplinary open access journal aiming to provide a peer-reviewed forum for innovation, research, and development related to theory, process, systems, materials, mechanics, methods, and equipment in manufacturing.

The subject areas include, but are not limited to:

    Computer aided design and computer aided manufacturing (e.g. CAD/CAM, CAE)
    High-Performance Computing (HPC) for modeling, simulation, and analysis
    Manufacturing systems including automation, robotics, intelligent control and monitoring systems
    Advanced manufacturing technologies including laser processing and applications, electrical machining and mechanical machining
    Micro and nano-fabrication
    Modelling techniques for manufacturing processes and systems
    3D printing (additive manufacturing)
    Sustainable and green technologies and processes
    Manufacturing under extreme conditions
    Advanced manufacturing materials
    Industrial 4.0
    Digital manufacturing

Special Issue on AI and Data-driven Manufacturing 
Día de Entrega: 2026-04-17

Artificial Intelligence (AI) and data-driven technologies are transforming the landscape of contemporary advanced manufacturing by enabling smarter, adaptive, and highly efficient processes. Traditional manufacturing systems often face challenges related to variability, resource optimization, and real-time decision-making. With the integration of AI, machine learning, digital twins, and big data analytics, it is now possible to enhance productivity, improve quality, reduce environmental impact, and accelerate innovation.

The aim of this Special Issue is to provide a comprehensive reference for scholars, researchers, and practitioners engaged in the field of advanced manufacturing. It is envisioned to invite original research articles and critical reviews that highlight recent developments, methodologies, and applications of AI and data-driven approaches in manufacturing, including (but not limited to) the following themes:

    AI-driven design, planning, and optimization methods for manufacturing systems
    Intelligent process monitoring, control, and predictive maintenance
    Data-driven modeling and digital twin applications in manufacturing
    Big data analytics, cloud/edge computing, and Industrial IoT for smart factories
    Sustainable and energy-efficient manufacturing enabled by AI and data analytics
    Data-driven design and Machine learning for additive manufacturing
    AI-driven material and process development for advanced manufacturing
    Flexible and Reconfigurable Manufacturing Systems
    Sustainable and Smart Manufacturing Practices

Special Issue on Advanced Manufacturing of Materials
Día de Entrega: 2026-06-30

Advanced Manufacturing of materials emerges from the convergence of 3D printing and smart materials, enabling the fabrication of components with enhanced functionalities and dimensional responsiveness. These parts can undergo shape transformations or activate specific functions when stimulated by external energy inputs, such as heat, light, or magnetic fields. This paradigm opens a compelling research avenue that extends beyond spatial geometry into the realms of timedependent behavior and multifunctionality.

XD printing is among the most rapidly evolving domains, driven primarily by advances in active and stimuli-responsive materials. Despite its immense potential for innovation and imagination, its adoption remains limited, particularly in industrial contexts. This Special Issue aims to showcase how scientific breakthroughs in XD printing can translate into practical and scalable industrial applications.

To realize this potential, critical factors such as physical properties, mechanical robustness, environmental stability, and unintended side effects must be rigorously evaluated. These considerations are essential for designing next-generation manufacturing processes and materials tailored for industrial deployment.

As an emerging field, XD printing demands creativity, interdisciplinary collaboration, and a thoughtful epistemological framework. While bottom-up design strategies are often favored, unconventional and exploratory approaches are equally valuable. Accordingly, this Special Issue will highlight recent advancements in 3D and XD printing technologies, emphasizing their correlation with industrial needs and applications. It seeks to foster dialogue between scientific innovation and real-world implementation, paving the way for transformative manufacturing solutions. Researchers are invited to contribute original research articles as well as review articles that discuss recent advancements in 3D and XD printing (but not limited to) the following themes:

    Materials Design
    Innovating Process Design
    AI and ML methods in 3D and XD printing
    Simulation in the field of 3D and XD printing
    Process Control (including insitu monitoring)
    Quality Control
    Microstructure-Property Correlation