Sustainable Innovation in the Production of Green Materials for Advanced Technologies

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 15 September 2025 | Viewed by 3366

Special Issue Editors


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Guest Editor
Institute of Fluid Dynamics and Thermodynamics, Faculty of Mechanical Engineering, Czech Technical University in Prague, Technická 4, 166 07 Prague, Czech Republic
Interests: nanocomposites; nanofluids; MXene; solar energy; energy storage systems; renewable energy; advanced nanomaterials; energy efficiency; heat transfer
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Guest Editor
Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, Pekan 26600, Pahang, Malaysia
Interests: nanofluids; heat transfer; advanced nanomaterials; energy storage systems; thermal engineering; energy efficiency
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Centre for Advanced Mechanical and Green Technology, Faculty of Engineering and Technology, Multimedia University, Jalan Ayer Keroh Lama, Bukit Beruang, Melaka 75450, Malaysia
Interests: nanofluids; machining; heat transfer fluids; nanomaterials; MXene

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Guest Editor
Faculty of Computing and Information Technology (FoCIT), Sohar University, Sohar 311, Oman
Interests: motion cueing; manipulator; AI in manufacturing
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Special Issue Information

Dear Colleagues,

Exploring green materials for the development of advanced technologies to improvise the eco-system situation has attracted significant interest from eminent researchers and industrial communities to proceed with new scientific/practical approaches. Green materials technology has prevailed the scientific community to address the influential environmental problems by producing less pollution in the environment. The development of new green materials with considerations of sustainable innovations is one the most important efforts to establish an environmentally friendly concept. Main factors such as synthesis techniques, fabrication, optimization process, performance evaluation, and reliability will play vital roles in the development of green materials for better performance in advanced technologies to reach the global society goal to enhance the existent eco-system situation, followed by the optimal utilization of renewable resources in advanced production processes. As climate change intensifies around the world and the environmental concerns increase rapidly, it is utterly urgent for the scientific community to understand and utilize the principles of sustainable innovations in green materials production and apply the gained knowledge in this regard towards advanced technologies. Green materials are designed to be either reusable, recyclable, or compostable, or even all three. Waste reduction, smart growth and sustainable development, energy efficiency, and renewable energy are some of the beneficial aspects associated with the development of green materials and their integration into advanced technologies. This Special Issue will cover both experimental and theoretical studies. In this Special Issue, original research articles and reviews are welcome.

We look forward to receiving your contributions. 

Dr. Navid Aslfattahi
Prof. Dr. Kumaran Kadirgama
Dr. Lingenthiran Samylingam
Dr. Mohammad Reza Chalak Qazani
Guest Editors

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Keywords

  • green materials
  • sustainable innovation
  • advanced technologies
  • energy efficiency
  • renewable energy
  • eco-friendly systems
  • cleaner production
  • balance in energy production
  • socio-ecological sustainability

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Published Papers (3 papers)

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Research

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21 pages, 9745 KiB  
Article
Mechanical and Tribological Performance of Epoxy Composites Reinforced with YSZ Waste Ceramics for Sustainable Green Engineering Applications
by Talal Alsaeed, Ayedh Eid Alajmi, Jasem Ghanem Alotaibi, Voravich Ganthavee and Belal F. Yousif
Processes 2024, 12(11), 2609; https://doi.org/10.3390/pr12112609 - 20 Nov 2024
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Abstract
The growing need for sustainable materials in engineering applications has led to increased interest in the use of waste-derived ceramics as reinforcing fillers in polymer composites. This study investigates the mechanical and tribological performance of epoxy composites reinforced with Yttria-Stabilized Zirconia (YSZ) waste [...] Read more.
The growing need for sustainable materials in engineering applications has led to increased interest in the use of waste-derived ceramics as reinforcing fillers in polymer composites. This study investigates the mechanical and tribological performance of epoxy composites reinforced with Yttria-Stabilized Zirconia (YSZ) waste ceramics, focusing on the effects of varying ceramic content (0–40 wt.%). The results demonstrate that while the tensile strength decreases with increasing ceramic content, the wear resistance and surface hardness improve, particularly at 20 wt.% YSZ. These findings are highly relevant for industries such as automotive, aerospace, and industrial manufacturing, where the demand for eco-friendly, high-performance materials is growing. This work aligns with the journal’s focus on sustainable engineering by offering new insights into the practical application of waste materials in high-performance composite systems. Full article
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24 pages, 3863 KiB  
Article
Hybrid CNC–MXene Nanolubricant for Tribological Application: Characterization, Prediction, and Optimization of Thermophysical Properties Evaluation
by Sakinah Muhamad Hisham, Norazlianie Sazali, Kumaran Kadirgama, Devarajan Ramasamy, Mohd Kamal Kamarulzaman, Lingenthiran Samylingam, Navid Aslfattahi and Chee Kuang Kok
Processes 2024, 12(10), 2146; https://doi.org/10.3390/pr12102146 - 2 Oct 2024
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Abstract
In the present work, hybrid Cellulose Nanocrystal–MXene (CNC–MXene) nanolubricants were prepared via a two-step method and investigated as potential heat-transfer hybrid nanofluids for the first time. CNC–MXene nanolubricants were synthesized via a two-step method by varying the weight percentage of CNC–MXene nanoparticles (ranging [...] Read more.
In the present work, hybrid Cellulose Nanocrystal–MXene (CNC–MXene) nanolubricants were prepared via a two-step method and investigated as potential heat-transfer hybrid nanofluids for the first time. CNC–MXene nanolubricants were synthesized via a two-step method by varying the weight percentage of CNC–MXene nanoparticles (ranging from 0.01 to 0.05 wt%) and characterized using Fourier-Transform Infrared Spectroscopy and TGA (Thermogravimetric Analysis). Response surface methodology (RSM) was used in conjunction with the miscellaneous design model to identify prediction models for the thermophysical properties of the hybrid CNC–MXene nanolubricant. Minitab 18 statistical analysis software and Response Surface Methodology (RSM) based on Central Composite Design (CCD) were utilized to generate an empirical mathematical model investigating the effect of concentration and temperature. The analysis of variance (ANOVA) results indicated significant contributions from the type of nanolubricant (p < 0.001) and the quadratic effect of temperature (p < 0.001), highlighting non-linear interactions that affect viscosity and thermal conductivity. The findings showed that the predicted values closely matched the experimental results, with a percentage of absolute error below 9%, confirming the reliability of the optimization models. Additionally, the models could predict more than 85% of the nanolubricant output variations, indicating high model accuracy. The optimization analysis identified optimal conditions for maximizing both dynamic viscosity and thermal conductivity. The predicted optimal values (17.0685 for dynamic viscosity and 0.3317 for thermal conductivity) were achieved at 30 °C and a 0.01% concentration, with a composite desirability of 1. The findings of the percentage of absolute error (POAE) reveal that the model can precisely predict the optimum experimental parameters. This study contributes to the growing field of advanced nanolubricants by providing insights into the synergistic effects of CNC and MXene in enhancing thermophysical properties. The developed models and optimization techniques offer valuable tools for tailoring nanolubricant formulations to specific tribological applications, potentially leading to improved efficiency and durability in various industrial settings. Full article
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Review

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49 pages, 7682 KiB  
Review
Advances in Palladium-Based Membrane Research: High-Throughput Techniques and Machine Learning Perspectives
by Eric Kolor, Muhammad Usman, Sasipa Boonyubol, Koichi Mikami and Jeffrey S. Cross
Processes 2024, 12(12), 2855; https://doi.org/10.3390/pr12122855 - 12 Dec 2024
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Abstract
The separation of high-purity hydrogen from mixed gasses using dense metallic alloy membranes is essential for advancing a hydrogen-based economy. Palladium-based membranes exhibit outstanding catalytic activity and theoretically infinite hydrogen selectivity, but their high cost and limited performance in contaminant-rich environments restrict their [...] Read more.
The separation of high-purity hydrogen from mixed gasses using dense metallic alloy membranes is essential for advancing a hydrogen-based economy. Palladium-based membranes exhibit outstanding catalytic activity and theoretically infinite hydrogen selectivity, but their high cost and limited performance in contaminant-rich environments restrict their widespread use. This study addresses these limitations by exploring strategies to develop cost-effective, high-performance alternatives. Key challenges include the vast compositional design space, lack of systematic design principles, and the slow pace of traditional material development. This review emphasizes the potential of high-throughput and combinatorial techniques, such as composition-spread alloy films and the statistical design of experiments (DoE), combined with machine learning and materials informatics, to accelerate the discovery, optimization, and characterization of palladium-based membranes. These approaches reduce development time and costs while improving efficiency. Focusing on critical properties such as surface catalytic activity, resistance to chemical and physical stresses, and the incorporation of low-cost base metals, this study introduces domain-specific descriptors to address data scarcity and improve material screening. By integrating computational and experimental methods, future research can identify hidden material correlations and expedite the rational design of next-generation hydrogen separation membranes. Full article
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