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Dr Mark Evans is an Associate Professor in the Department of Materials Science and Engineering within the Faculty of Science and Engineering at Swansea University. With a career spanning from September 1990 to the present, he has established himself as a leading researcher in the application of statistical methods to materials science problems, particularly focusing on high-temperature material behavior. His work bridges engineering practice with advanced statistical analysis, creating practical solutions for industry challenges.
- Faculty of Science and Engineering, Swansea University
- Department of Materials Science and Engineering
- Associate Professor since 1990
- Teaches Statistical Techniques in Engineering (EG-285) and Engineering Management B (EG-386B)
- Available for Postgraduate Supervision
Dr Evans' research centers on the application of statistics to three main areas: the life of materials at high temperatures, process optimization in manufacturing, and techno-economic forecasting. His expertise particularly focuses on creep life prediction, where he has developed and refined methodologies like the Wilshire equations for predicting material behavior under high-temperature conditions. His work spans various materials including stainless steels (316H, 2.25Cr-1Mo), superalloys (Waspaloy, RR1000), and low-alloy steels. He combines advanced statistical techniques with materials science principles to address real-world engineering challenges in power generation, aerospace, and manufacturing sectors. His research approach integrates experimental data with sophisticated modeling to predict material failure and optimize manufacturing processes.
Analyzing Dr Evans' recent publication record (2020-2025) reveals a strong focus on advancing creep modeling methodologies. His work demonstrates a consistent progression from fundamental creep behavior studies toward more sophisticated statistical approaches for model validation and prediction accuracy. Recent publications emphasize statistical rigor in comparing competing models, addressing measurement errors, and developing novel approaches like LOESS estimation to overcome limitations of traditional parametric models. His research shows particular interest in the relationship between tensile properties and creep behavior, the role of damage mechanics in creep failure, and the application of advanced statistical techniques to improve prediction reliability for critical engineering components.
Dr Evans has served as Guest Editor for the Journal Materials (2017-2018) and has delivered invited presentations including 'The Potential United Kingdom Energy Gap and Creep Life Prediction Methodologies' (2012). His work appears consistently in top-tier materials science journals including Metallurgical and Materials Transactions A, Materials Science and Engineering: A, and Materials at High Temperatures.
Dr Evans supervises postgraduate research, with at least one PhD completed in 2023 on 'Remnant Life Assessment based on the Small Punch Test and the Wilshire Equations' (co-supervised with Prof Helen Davies). His teaching portfolio includes Statistical Techniques in Engineering (EG-285), which emphasizes practical statistical tools for engineers using real-world data, and Engineering Management B (EG-386B), which covers business planning, entrepreneurship, and ethics for engineering professionals.
