Impact of Material Properties, Tooling, and Process Conditions on Mechanical and Tribological Performance

Dear Colleagues,

Recent advances in materials design and manufacturing have showcased the possibility of enhancing mechanical and tribological behaviour through innovative materials, treatments, coatings, and processing technologies, leading to improvements in the wear resistance, durability, performance, and sustainability of components and systems in various industries. This Special Issue will bring together studies exploring the failure mechanisms of such materials through the deployment of advanced characterisation and testing techniques, as well as studies adopting theoretical, numerical, and/or experimental approaches to investigate novel materials and technologies with the capacity to strengthen mechanical and tribological performance, including, but not limited to, nanomaterials and composites, high-entropy alloys, heat treatment, surface alterations, advanced coatings, and innovative nanolubricants.

Artificial intelligence (AI) is an emerging keystone in materials science and advanced manufacturing, offering value in market research, product design, process control and optimisation, and quality assurance through its capacity to improve product quality, reduce costs, and increase innovation. This Special Issue also welcomes research related to the application of AI in data analysis and design processes to facilitate the prediction and optimisation of material properties for a wide variety of manufacturing operations and engineering applications.

Dr. Feijun Qu
Prof. Dr. Zhengyi Jiang
Guest Editors

Manuscript Submission Information

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