The next generation of advanced materials and additive manufacturing presents both significant challenges and transformative opportunities. These innovations are pivotal for achieving sustainable manufacturing, reducing environmental impact, and enhancing production efficiency. This collection aims to inspire researchers and practitioners to address these challenges and explore the vast potential of advanced manufacturing technologies.
The 2nd International Conference of the Institute of Advanced Materials for Sustainable Manufacturing (IC-IAMSM) titled ‘Advanced Materials and Additive Manufacturing’, held in September 2023 at Tecnológico de Monterrey, Monterrey, México, showcased cutting-edge research and developments. This collection compiles eight high-quality papers from the conference, covering diverse topics such as energy efficiency, machine learning, recycling, circular economy, advanced control systems, and multifunctional machines. These contributions highlight the interdisciplinary approach necessary for advancing the field of sustainable manufacturing.
Energy efficiency and process optimization are crucial for sustainable additive manufacturing. Arrizubieta et al. investigate the energy consumption of the Laser Directed Energy Deposition (DED-LB) process, emphasising the reduction of energy consumption through optimised laser parameters. Estrada-Díaz et al. introduce the concept of Sustainable Laser Energy Consumption (SLEC) and develop mathematical models to predict bulk density in Selective Laser Melting (SLM). This approach promotes the sustainable manufacturing of SLM components with tailored density, balancing energy consumption and productivity. Sardarian et al. focus on fabricating porous layers of 17-4 PH stainless steel using Laser Powder Bed Fusion (LPBF), highlighting the importance of optimising process parameters to achieve desired porosity and permeability, contributing to the development of advanced porous materials.
Machine Learning offers powerful tools for predicting material behaviour under various conditions. Jimenez-Martinez et al. employ a Long Short-Term Memory (LSTM) neural network to forecast the energy absorbed and crushing force of thin-walled aluminium tubes subjected to different collapse triggers and heat treatments. This approach significantly reduces the cost and time associated with experimental testing, demonstrating the efficacy of LSTM models in predicting complex, nonlinear behaviours.
Recycling and circular economy strategies are essential for reducing environmental impact. Vega-Leal et al. explore the mechanical recycling of carbon fibre-reinforced polymers (CFRP), demonstrating the feasibility and environmental benefits of reusing CFRP materials in new composites. Their findings indicate that mechanical recycling is a viable and responsible solution for recovering valuable CFRP materials, which can be repurposed in new products, thus reducing waste. Maldonado-Romo et al. propose a circular economy strategy for smartphones using the S4 framework, which emphasises sensing, smart, sustainable, and social dimensions. This study addresses the short lifespan of smartphones and proposes a comprehensive approach to extend their lifecycle, reducing e-waste. The authors highlight the potential to enable sustainable product development by integrating end-user behaviour in promoting sustainable disposal practices.
Advanced control systems play a critical role in enhancing the efficiency of recycling operations and several manufacturing processes. Mendoza-Bautista et al. present a hybrid robust disturbance rejection position-force control for a mobile robotic manipulator in metal recycling tasks, by using deep learning tools and adaptive controllers. Molina et al. discuss the design and development of multifunctional machines using the 5S approach (social, sustainable, sensing, smart, and safe). Their work, particularly on a 3D food printer, highlights the importance of machines that bridge the gap between practical and theoretical knowledge through this novel methodology.
This collection of the IC-IAMSM conference papers provides a comprehensive overview of advancements in additive manufacturing and the role of advanced materials in promoting sustainability. The studies highlighted significant progress, as additive manufacturing continues to evolve, the integration of advanced materials and innovative technologies will be crucial in achieving sustainable and efficient manufacturing solutions. We hope this collection inspires further research and collaboration among researchers, industry experts, and policymakers.
We would like to thank all authors who contributed papers to this Collection and express our gratitude to the reviewers for their valuable comments. Finally, I would also like to thank the IJSE Editorial Team for their support and guidance.