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 Sustainable and Circular Manufacturing: Materials, Processes, and Design Strategies
Día de Entrega: 2025-12-31

Sustainability and circular economy principles are reshaping the future of advanced manufacturing. As industries strive to minimize environmental impact, there is a growing demand for eco-friendly materials, energy-efficient processes, and circular design strategies that promote resource efficiency and waste reduction.

Sustainable manufacturing focuses on reducing carbon footprints, optimizing energy consumption, and utilizing renewable resources, while circular manufacturing emphasizes closed-loop systems that enable material reuse, remanufacturing, and recycling. Innovations in biodegradable polymers, green composites, low-carbon alloys, and additive manufacturing for waste reduction are critical to achieving these goals. Furthermore, process innovations such as energy-efficient machining, hybrid manufacturing, and digital sustainability tools (e.g., AI-driven lifecycle assessments) are driving the transition toward greener industrial ecosystems.

This special issue invites original research and review articles exploring new materials, processes, and design methodologies that enhance sustainability and circularity in manufacturing. Topics of interest include, but are not limited to:

    Sustainable Material Development (biodegradable, recycled, and bio-based materials)
    Energy-efficient Manufacturing Processes (low-energy AM, machining, and forming)
    Circular Economy Strategies for Manufacturing (remanufacturing, reusability, and material recovery)
    Life Cycle Assessment (LCA) and Carbon Footprint Reduction in Manufacturing
    AI and Digital Twins for Sustainable Process Optimization
    Waste-Free and Net-Zero Manufacturing Approaches
    Green Additive Manufacturing and Sustainable 3D Printing Technologies
    Design for Sustainability and Circularity (Design for Excellence (DfX) principles in product development)
    Hybrid Manufacturing for Resource Optimization
    End-of-Life Strategies: Recycling and Upcycling of Manufactured Components
    Advanced and efficient systems for monitoring and managing pavement performance and large-scale data

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