Dr Mark Evans
Associate Professor
Telephone: (01792) 295748
Room: Academic Office - A205
Second Floor
Engineering East
Bay Campus

My research interests have lead to the publication of over 75 peer reviewed journal papers and two postgraduate textbooks. My research has involved the applications of statistics to three main fields of study: i. the lifeing of materials at high temperatures, ii. process optimisation in manufacturing and ii. techno-economic forecasting.

1. My current research in this field is advancing the Wilshire methodology to life assessment by expressing the Wilshire equations within a statistical hierarchical model so that batch to batch variation is modelled correctly to enable meaningful confidence intervals to be made for the predicted failure times on any material.
2. I have worked with TATA Steel to improve the surface finish of their manufactured strip by applying various data mining techniques. For TIMET my work has involved the computer modelling of their processes to identify optimal production schedules and for Rolls Royce my work has involved combining numerical and statistical techniques to optimize a disc test for determining the remaining life of materials used for generating electricity

3. My research has involved the development and estimation of novel models for providing reliable forecast of short to medium term movements in both the price and the demand of various basic metals.

Areas of Expertise

  • creep life prediction
  • process optimisation
  • steel demand forecasting


  1. Optimisation of Manufacturing Processes: A Response Surface Approach. London: IOM3.
  2. Numerical modelling of small disc creep test. Materials Science and Technology 22(10)-1162.
  3. A study of the relationship between regional ferrous scrap prices in the USA, 1958-2004. Resources Policy 31(2)-77.
  4. A Generalised Monkman - Grant Relation for Creep Life Prediction: An Application to 1CrMoV Rotor Steel". JOURNAL OF MATERIALS SCIENCE 41(12), 3907-3915.
  5. 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.

See more...


  • 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, answered through blackboard, 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

    This module will develop skills relating to the management of financial and human resources within the engineering sector. With respect to financial resources, the course will introduce the practice of accounting for transactions within a new business so as to give the student a good appreciation of the balance sheet, profit & loss and cash flow statements, which are essential components of a business plan. The course will also show students how to interpret financial statements and how best to allocate financial resources between competing engineering projects. 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.

  • EGSM09 Industrial Process Control and Optimisation

    This module introduces the engineering student to the techniques available for designing and implementing efficient linear and nonlinear industrial experiments. Participants will also be made aware of the limitations present in standard Taguchi experimental designs and how to use the results from such experiments to control and optimize complex manufacturing processes that are either linear or non linear in nature. emphasis is placed on reducing process variation whilst maintaining desired material properties. These techniques are illustrated using the ausforming and other processes for the production of high strength steels and a case study on friction welding.


  • Multidisciplinary design optimisation of a can forming operation (current)

    Student name:
    Other supervisor: Dr Will Harrison
  • Remnant Life Assessment based on the Small Punch Test and the Wilshire Equations (current)

    Student name:
    Other supervisor: Dr Helen Davies