What is it about?
This paper is the third and final part of a short series of articles aimed towards describing some of the various statistical methods and approaches that have been used in surface finishing. Here, various types of Design-of-Experiments (DOE) techniques are described, such as full and fractional factorial design, central composite design, response surface methodology and Taguchi methods. Their application in the design of surface finishing related experiments are then reviewed, ending with a worked example of a two-level 2^4 full factorial DOE.
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Photo by Carlos Muza on Unsplash
Why is it important?
Design-of-experiments is an excellent approach when you have many different variables that control the outcome of a process/experiment. It provides a method such that only a limited number of experiments need to be performed rather than needing to change each variable at once, thereby saving time and money.
Perspectives
Free downloads of the post-print versions of the Part 1 (parametric stats), Part 2 (non-parametric stats) and Part 3 (design-of-experiments) are available from the Resources section (right-hand-side panel). Links to screenshot images showing how to perform the tests in SPSS are also shown in the Resources section (right-hand-side panel).
Dr James R Smith
University of Portsmouth
Read the Original
This page is a summary of: Statistical approaches in surface finishing. Part 3. Design-of-experiments, Transactions of the IMF, November 2019, Taylor & Francis,
DOI: 10.1080/00202967.2019.1673530.
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