Dr Mark Evans

Associate Professor

Materials Science and Engineering

+44 (0) 1792 295748

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Academic Office - A205
Second Floor
Engineering East
Bay Campus

Available For Postgraduate Supervision

Research Links

https://orcid.org/0000-0003-2056-2396

About

Dr Mark Evans' research interests have lead to the publication of over 75 peer reviewed journal papers and two postgraduate textbooks.

His research has involved the applications of statistics to three main fields of study:

The lifeing of materials at high temperatures
Process optimisation in manufacturing
Techno-economic forecasting

Areas Of Expertise

Creep life prediction
Process optimisation
Steel demand forecasting
Data mining in manufacturing

Career Highlights

Teaching Interests

Statistics, Engineering Economy, Quality Control and Improvement, Experimental design, Data analysis, Appraisal of Engineering Projects.

Publications

Research Highlights

Evans, M. (1996). Aspects of maximum likelihood estimation of asymmetric growth curves. Journal of Applied Statistics, 23(5), 467-492.
https://doi.org/https://doi.org/10.1080/02664769624026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63819
Whittaker, M., Evans, M., Wilshire, B., Evans, M., & Whittaker, M. (2012). Long-term creep data prediction for type 316H stainless steel. Materials Science and Engineering: A, 552, 145-150.
https://doi.org/10.1016/j.msea.2012.05.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10757
Evans, M. (2020). Testing Model Structure Through a Unification of Some Modern Parametric Models of Creep: An Application to 316H Stainless Steel. Metallurgical and Materials Transactions A, 51(2), 697-707.
https://doi.org/10.1007/s11661-019-05540-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52545
Williams, T., Evans, M., & Harrison, W. (2021). An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy. Metallurgical and Materials Transactions A, 52, 3460-3474.
https://doi.org/10.1007/s11661-021-06318-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57017
Williams, T., Evans, M., Williams, S., & John, S. (2021). Modification of the Wilshire strain equation: an application to RR1000. Materials Science and Technology, 37(6), 592-606.
https://doi.org/10.1080/02670836.2021.1938836, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57018
http://dx.doi.org/10.1080/02670836.2021.1938836
Evans, M. (2022). Incorporating the Wilshire equations for time to failure and the minimum creep rate into a continuum damage mechanics for the creep strain of Waspaloy. Materials at High Temperatures, 39(2), 133-148.
https://doi.org/10.1080/09603409.2021.2024418, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59161
Evans, M. (2023). Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels. Materials Science and Technology, 39(16), 2302-2317.
https://doi.org/10.1080/02670836.2023.2198395, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62760
Evans, M. (2003). Optimisation of Manufacturing Processes: A Response Surface Approach IOM3.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20588
Evans, M. (2006). Numerical modelling of small disc creep test. Materials Science and Technology, 22(10)-1162.
https://doi.org/10.1179/174328406X118258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15637
Evans, M. (2006). A study of the relationship between regional ferrous scrap prices in the USA, 1958-2004. Resources Policy, 31(2)-77.
https://doi.org/10.1016/j.resourpol.2006.06.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15636
Evans, M. & Evans, M. (2006). A Generalised Monkman - Grant Relation for Creep Life Prediction: An Application to 1CrMoV Rotor Steel". JOURNAL OF MATERIALS SCIENCE, 41(12), 3907-3915.
https://doi.org/10.1007/s10853-005-5506-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2004
Evans, M. (2006). Combining predictions in a simplified 4-Theta methodology for creep life assessment: an application to 2Cr-1Mo steel. Materials Science and Technology, 22(2)-185.
https://doi.org/10.1179/026708306X81504, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15635
Evans, M. & Johnston, R. (2007). Stochastic modelling of times to temperature for furnaces supplying titanium blooms to a rolling mill at TIMET. JOURNAL OF APPLIED STATISTICS, 34(4)-401.
https://doi.org/10.1080/02664760701231575, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15638
Wang, D., Evans, M., & Evans, M. (2007). Optimising the Sensitivity of the Small Disc Creep Test to Damage and Test Conditions. JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 42(5), 389-413.
https://doi.org/10.1243/03093247jsa220, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2002
Evans, M., Wang, D., & Evans, M. (2007). Stochastic Modelling of the Small Disc Creep Test. MATERIALS SCIENCE AND TECHNOLOGY, 23(8), 883-892.
https://doi.org/10.1179/174328407X179700, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2003
Evans, M. (2008). Creep in Materials - Origins, Analysis and Prediction Methodologies Journal of Materials Education.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20589
Evans, M. (2008). The small punch creep test: some results from a numerical model. Journal of Materials Science, 43(6), 1825-1835.
https://doi.org/10.1007/s10853-007-2388-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5449
Evans, M. (2008). Measuring the predictive accuracy of various models of formability of Corus Tubular Blanks. Journal of Materials Science, 43(8), 2562-2573.
https://doi.org/10.1007/s10853-008-2472-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5450
Evans, M. (2008). A generalisation of the Wilshire–Scharning methodology to creep life prediction with application to 1Cr–1Mo–0.25 V rotor steel. Journal of Materials Science, 43(18), 6070-6080.
https://doi.org/10.1007/s10853-008-2956-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9109
, . & Evans, M. (2009). Critical Review and Appraisal of Traditional and New Procedures for the Quantification of Creep Fracture Behavior Using 1Cr–1Mo–0.25V Steel. Journal of Engineering Materials and Technology, 131(2)
https://doi.org/10.1115/1.3078391, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5453

All Research

Journal Articles

Evans, M. (2024). A statistical assessment of the equivalence between creep and hot tensile behaviour of 2.25Cr-1Mo steel. Materials Science and Technology, 0
https://doi.org/10.1177/02670836241273477, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa67093
http://dx.doi.org/10.1177/02670836241273477
Evans, M. (2024). A Functional Coefficients Version of a Generalized Orr–Sherby–Dorn Creep Model: An Application to 2.25Cr–1Mo Steel. Metallurgical and Materials Transactions A, 55, 2811-2824.
https://doi.org/10.1007/s11661-024-07437-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66321
Evans, M. (2024). Estimating the Monkman−Grant relation in the presence of errors in measurement of times to failure and minimum creep rates: with application to some high temperature materials. Materials at High Temperatures, 0, 1-16.
https://doi.org/10.1080/09603409.2024.2377497, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa66985
Evans, M. (2024). Testing for statistically significant differences in predictions obtained from competing creep models. Materials Science and Technology, 40(10), 743-754.
https://doi.org/10.1177/02670836231223583, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa65381
http://dx.doi.org/10.1177/02670836231223583
Evans, M. (2023). An estimation method (LOESS) for dealing with the imperfections of existing parametric creep models for time to failure: Illustrated using 2.25Cr–1Mo steel. International Journal of Pressure Vessels and Piping, 206, 105047
https://doi.org/10.1016/j.ijpvp.2023.105047, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64042
http://dx.doi.org/10.1016/j.ijpvp.2023.105047
Evans, M. (2023). The Important Role Played by High-Temperature Tensile Testing in the Representation of Minimum Creep Rates Using S-Shaped Curve Models. Metallurgical and Materials Transactions A, 54(12), 4796-4805.
https://doi.org/10.1007/s11661-023-07202-w, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64682
Evans, M. (2023). Estimating threshold stresses using parametric equations for creep: Application to low-alloy steels. Materials Science and Technology, 39(16), 2302-2317.
https://doi.org/10.1080/02670836.2023.2198395, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62760
Evans, M. (2023). Assessing the predictive performance of creep models using absolute rather than squared prediction errors: an application to 2.25Cr-1Mo steel and 316H stainless steel. Materials at High Temperatures, 40(6), 457-468.
https://doi.org/10.1080/09603409.2023.2268332, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa64687
Evans, M. (2022). Incorporating the Wilshire equations for time to failure and the minimum creep rate into a continuum damage mechanics for the creep strain of Waspaloy. Materials at High Temperatures, 39(2), 133-148.
https://doi.org/10.1080/09603409.2021.2024418, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59161
Williams, T., Evans, M., & Harrison, W. (2021). An Investigation into the Correlation of Small Punch and Uniaxial Creep Data for Waspaloy. Metallurgical and Materials Transactions A, 52, 3460-3474.
https://doi.org/10.1007/s11661-021-06318-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57017
Williams, T., Evans, M., Williams, S., & John, S. (2021). Modification of the Wilshire strain equation: an application to RR1000. Materials Science and Technology, 37(6), 592-606.
https://doi.org/10.1080/02670836.2021.1938836, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57018
http://dx.doi.org/10.1080/02670836.2021.1938836
Evans, M. (2020). Testing Model Structure Through a Unification of Some Modern Parametric Models of Creep: An Application to 316H Stainless Steel. Metallurgical and Materials Transactions A, 51(2), 697-707.
https://doi.org/10.1007/s11661-019-05540-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52545
Evans, M. & Evans, M. (2019). Semi-parametric estimation of the Wilshire creep life prediction model: an application to 2.25Cr-1Mo steel. Materials Science and Technology, 35(16), 1977-1987.
https://doi.org/10.1080/02670836.2019.1659557, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51494
http://dx.doi.org/10.1080/02670836.2019.1659557
Evans, M. & Williams, T. (2019). Assessing the capability of the Wilshire equations in predicting uniaxial creep curves: An application to Waspaloy. International Journal of Pressure Vessels and Piping, 172, 153-165.
https://doi.org/10.1016/j.ijpvp.2019.03.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49705
Evans, M. (2017). A Review of Statistical Failure Time Models with Application of a Discrete Hazard Based Model to 1Cr1Mo-0.25V Steel for Turbine Rotors and Shafts. Materials, 10(10), 1190
https://doi.org/10.3390/ma10101190, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa36106
Evans, M. (2017). A Re-Evaluation of the Causes of Deformation in 1Cr-1Mo-0.25V Steel for Turbine Rotors and Shafts Based on iso-Thermal Plots of the Wilshire Equation and the Modelling of Batch to Batch Variation. Materials, 10(6), 575
https://doi.org/10.3390/ma10060575, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33852
Evans, M. (2016). Incorporating specific batch characteristics such as chemistry, heat treatment, hardness and grain size into the Wilshire equations for safe life prediction in high temperature applications: An application to 12Cr stainless steel bars for turbine blades. Applied Mathematical Modelling, 40(23-24), 10342-10359.
https://doi.org/10.1016/j.apm.2016.07.013, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29506
Evans, M. (2016). A Statistical Test for Identifying the Number of Creep Regimes When Using the Wilshire Equations for Creep Property Predictions. Metallurgical and Materials Transactions A, 47(12), 6593-6607.
https://doi.org/10.1007/s11661-016-3750-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa29679
Evans, M., McMahon, J., Robinson, F., & Evans, M. (2015). Use of partial least squares for identifying the effect of through process variables on some of the magnetic properties (permeability) of grain oriented electrical steel. Materials Science and Technology, 31(3), 361-371.
https://doi.org/10.1179/1743284714Y.0000000557, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20587
Evans, M. (2015). Constraints Imposed by the Wilshire Methodology on Creep Rupture Data and Procedures for Testing the Validity of Such Constraints: Illustration Using 1Cr-1Mo-0.25V Steel. Metallurgical and Materials Transactions A, 46(2), 937-947.
https://doi.org/10.1007/s11661-014-2655-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20586
Evans, M., Kennedy, J., & Evans, M. (2014). Integration of Adaptive Neuro Fuzzy Inference Systems and principal component analysis for the control of tertiary scale formation on tinplate at a hot mill. Expert Systems with Applications, 41(15), 6662-6675.
https://doi.org/10.1016/j.eswa.2014.05.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20585
Evans, M. (2014). An alternative approach to estimating the parameters of a generalised Grey Verhulst model: An application to steel intensity of use in the UK. Expert Systems with Applications, 1(4), 1236-1244.
https://doi.org/10.1016/j.eswa.2013.08.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15642
Evans, M. (2014). The importance of creep strain in linking together the Wilshire equations for minimum creep rates and times to various strains (including the rupture strain): An illustration using 1CrMoV rotor steel. Journal of Materials Science, 49(1), 329-339.
https://doi.org/10.1007/s10853-013-7709-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15696
Evans, M. (2013). Process Parameters Influencing Tertiary Scale Formation at a Hot Strip Mill Using a Multinomial Logit Model. Journal of Manufacturing Science and Engineering, 135(3)
https://doi.org/10.1115/1.4023717, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15646
Evans, M. & Evans, M. (2012). A new statistical framework for the determination of safe creep life using the theta projection technique. Journal of Materials Science, 47(6), 2770-2781.
https://doi.org/10.1007/s10853-011-6106-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9111
Evans, M. (2012). A statistical degradation model for the service life prediction of aircraft coatings: With a comparison to an existing methodology. Polymer Testing, 31(1), 46-55.
https://doi.org/10.1016/j.polymertesting.2011.08.017, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6182
Evans, M. (2012). A partial least squares solution to the problem of multicollinearity when predicting the high temperature properties of 1Cr–1Mo–0.25V steel using parametric models. Journal of Materials Science, 47(6), 2712-2724.
https://doi.org/10.1007/s10853-011-6097-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9110
Evans, M. (2012). Identification, for control, of the process parameters influencing tertiary scale formation at the hot strip mill using a binary choice model. Journal of Materials Processing Technology, 212(7), 1622-1630.
https://doi.org/10.1016/j.jmatprotec.2012.03.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10544
Evans, M. (2012). The Potential United Kingdom Energy Gap and Creep Life Prediction Methodologies. Metallurgical and Materials Transactions A, 44A(1), 109-127.
https://doi.org/10.1007/s11661-012-1293-3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13067
Evans, M. (2012). Accounting for Batch to Batch Variation when Predicting the Safe Life of Materials Operating at High Temperatures: An Application to 1Cr1Mo0.25V Steels Using the Theta Methodology. Metallurgical and Materials Transactions A, 44A(5), 2431-2444.
https://doi.org/10.1007/s11661-012-1555-0, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa13370
Evans, M. (2012). Non-linear partial least squares and its application to minimising scale formation at a steel hot mill. Materials Science and Technology, 28(12), 1513-1522.
https://doi.org/10.1179/1743284712y.0000000058, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa11867
Whittaker, M., Evans, M., Wilshire, B., Evans, M., & Whittaker, M. (2012). Long-term creep data prediction for type 316H stainless steel. Materials Science and Engineering: A, 552, 145-150.
https://doi.org/10.1016/j.msea.2012.05.023, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10757
Evans, M. (2011). A frailty model for the analysis and prediction of creep and creep fracture: with application to high temperature plant life assessment using 1Cr–1Mo–0.25V. Journal of Materials Science, 46(2), 518-527.
https://doi.org/10.1007/s10853-010-4995-1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5457
Evans, M. (2011). Obtaining confidence limits for safe creep life in the presence of multi batch hierarchical databases: An application to 18Cr–12Ni–Mo steel. Applied Mathematical Modelling, 35(6), 2838-2854.
https://doi.org/10.1016/j.apm.2010.11.072, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5451
Evans, M. (2011). Steel consumption and economic activity in the UK: The integration and cointegration debate. Resources Policy, 36(2), 97-106.
https://doi.org/10.1016/j.resourpol.2010.10.004, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5452
Evans, M. (2011). Prediction of long-term creep rupture data for 18Cr–12Ni–Mo steel. International Journal of Pressure Vessels and Piping, 88(11-12), 449-451.
https://doi.org/10.1016/j.ijpvp.2011.08.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6181
Evans, M. (2010). A Novel Approach to the Prediction of Long-Term Creep Fracture, with Application to 18Cr-12Ni-Mo Steel (Bar, Plate, and Tube). METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE, 41A(1)-328.
https://doi.org/10.1007/s11661-009-0129-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15641
Evans, M. (2010). Formalisation of Wilshire–Scharning methodology to creep life prediction with application to 1Cr–1Mo–0·25V rotor steel. Materials Science and Technology, 26(3), 309-317.
https://doi.org/10.1179/174328409X407515, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5454
Evans, M. (2010). A multi-level model for the analysis and prediction of creep and creep fracture of 2.25Cr–1Mo steel tubes. Materials Science and Engineering: A, 528(1), 500-512.
https://doi.org/10.1016/j.msea.2010.09.032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5455
, . & Evans, M. (2009). Critical Review and Appraisal of Traditional and New Procedures for the Quantification of Creep Fracture Behavior Using 1Cr–1Mo–0.25V Steel. Journal of Engineering Materials and Technology, 131(2)
https://doi.org/10.1115/1.3078391, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5453
Evans, M. (2009). A novel approach to the prediction of long-term creep fracture: with application to 18Cr–12Ni–Mo steel (plate and bar). Journal of Materials Science, 44(21), 5842-5851.
https://doi.org/10.1007/s10853-009-3824-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5458
Evans, M. (2008). The small punch creep test: some results from a numerical model. Journal of Materials Science, 43(6), 1825-1835.
https://doi.org/10.1007/s10853-007-2388-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5449
Evans, M. (2008). Measuring the predictive accuracy of various models of formability of Corus Tubular Blanks. Journal of Materials Science, 43(8), 2562-2573.
https://doi.org/10.1007/s10853-008-2472-x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa5450
Evans, M. (2008). A generalisation of the Wilshire–Scharning methodology to creep life prediction with application to 1Cr–1Mo–0.25 V rotor steel. Journal of Materials Science, 43(18), 6070-6080.
https://doi.org/10.1007/s10853-008-2956-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa9109
Evans, M. & Johnston, R. (2007). Stochastic modelling of times to temperature for furnaces supplying titanium blooms to a rolling mill at TIMET. JOURNAL OF APPLIED STATISTICS, 34(4)-401.
https://doi.org/10.1080/02664760701231575, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15638
Wang, D., Evans, M., & Evans, M. (2007). Optimising the Sensitivity of the Small Disc Creep Test to Damage and Test Conditions. JOURNAL OF STRAIN ANALYSIS FOR ENGINEERING DESIGN, 42(5), 389-413.
https://doi.org/10.1243/03093247jsa220, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2002
Evans, M., Wang, D., & Evans, M. (2007). Stochastic Modelling of the Small Disc Creep Test. MATERIALS SCIENCE AND TECHNOLOGY, 23(8), 883-892.
https://doi.org/10.1179/174328407X179700, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2003
Evans, M. (2006). Numerical modelling of small disc creep test. Materials Science and Technology, 22(10)-1162.
https://doi.org/10.1179/174328406X118258, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15637
Evans, M. (2006). A study of the relationship between regional ferrous scrap prices in the USA, 1958-2004. Resources Policy, 31(2)-77.
https://doi.org/10.1016/j.resourpol.2006.06.001, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15636
Evans, M. & Evans, M. (2006). A Generalised Monkman - Grant Relation for Creep Life Prediction: An Application to 1CrMoV Rotor Steel". JOURNAL OF MATERIALS SCIENCE, 41(12), 3907-3915.
https://doi.org/10.1007/s10853-005-5506-7, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa2004
Evans, M. (2006). Combining predictions in a simplified 4-Theta methodology for creep life assessment: an application to 2Cr-1Mo steel. Materials Science and Technology, 22(2)-185.
https://doi.org/10.1179/026708306X81504, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15635
Evans, M. (1996). Aspects of maximum likelihood estimation of asymmetric growth curves. Journal of Applied Statistics, 23(5), 467-492.
https://doi.org/https://doi.org/10.1080/02664769624026, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63819

Authored Books

Evans, M. (2008). Creep in Materials - Origins, Analysis and Prediction Methodologies Journal of Materials Education.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20589
Evans, M. (2003). Optimisation of Manufacturing Processes: A Response Surface Approach IOM3.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20588

Conference Contributions

Evans, M. (2011). Variability in the mechanical properties and processing conditions of a High Strength Low Alloy steel. In Procedia Engineering
https://doi.org/10.1016/j.proeng.2011.04.020, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa6183

Supervision

Remnant Life Assessment based on the Small Punch Test and the Wilshire Equations (awarded 2023)

PhD

Other supervisor: Prof Helen Davies

Taught Modules

EG-285 Statistical Techniques in Engineering

This module offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasises the statistical tools most needed by practicing engineers. Using real engineering problems with real data taken from engineering journal publications, students see how statistics fit within the methods of engineering problem solving. The module teaches students how to think like an engineer when analysing real data. Assignments and Quizzes, answered through Canvas, tailored to each engineering discipline, are intended to simulate problems that students will encounter professionally during their future careers. Emphasis is placed on Excel as a computer environment for tackling engineering problems that require the use of statistics.
EG-386 Engineering Management

The goal of this course is to provide the skills for scientists and engineers to meet the challenges of their future careers, whether they be in academia, industry, or as an entrepreneur." With respect to human resources, the course will cover the basic concept of entrepreneurship before breaking down the essential elements of a business plan. The course will give the more entrepreneurial students guidance about how to go about commercialising their ideas and the less entrepreneurial students an understanding of what makes some of their colleagues tick. The learn by example approach adopted for this module guides the student through the complexities of financial and human resource management and encourages students to develop their own business plans. Students will also be introduced to the subject area of ethics within business. This module will also provide support on careers services with students creating CVs and Linked-In accounts.
EGSM08 Economic Appraisal of Engineering Projects

Introduction to the financial appraisal of engineering projects including financial accounting, models of investment appraisal, risk and risk management, and capacity optimisation in the face of uncertainty. Coping with such uncertainty requires a basic understanding of techno - economic forecasting techniques.

Career History

Associate Professor, A205 Engineering East

September 1990 - Present

Affiliated Positions

Guest Editor, Journal Materials

2017 - 2018

Invited Presentations, Lectures and Conferences

The Potential United Kingdom Energy Gap and Creep Life Prediction Methodologies

2012

Metallurgical and Materials Transactions A 44A 1 109 127

Dr Mark Evans

Telephone number

Email address

Research Links

About

Areas Of Expertise

Career Highlights

Research Highlights

All Research

Remnant Life Assessment based on the Small Punch Test and the Wilshire Equations (awarded 2023)

EG-285 Statistical Techniques in Engineering

EG-386 Engineering Management

EGSM08 Economic Appraisal of Engineering Projects

Associate Professor, A205 Engineering East

Guest Editor, Journal Materials

The Potential United Kingdom Energy Gap and Creep Life Prediction Methodologies