Course Dates23rd May, 2019 - 24th May, 2019 (2 days)
Cost: €795 including course manual, lunch and refreshments.
Inclusive of course manual, lunch and refreshments.
This 2-day course will give Engineers/Technicians involved in process improvement a comprehensive understanding of the benefits, details and implementation of the design of Experiments technique.
DOE is a method of completing machine trails, process testing etc in a very structured manner to gain maximum information about processes, problems and quality issues using minimum engineering trials/machine time. By completing a small number of runs, data is analysed to compare the effects of varying a number of parameters against each other, and the interactions between these parameters. Our course practicals use injection moulding equipment and compare the influence of injection speed and screw speed, barrel temperatures, holding pressure and time, decompression and back pressure on moulded part characteristics.
This highly practical course develops the theory of Design of Experiments from a basics through to advanced techniques, demonstrating in a production environment the many pitfalls to completing a good experiment, including:
How to select the right process parameters(factors) to use and pitfalls to watch out for,
How to ensure errors are minimised by good experimental procedures,
How to ensure test equipment is suitable, and common issues in this area.
Fast checks to make sure the process has stabilised between runs.
At the end of this course, delegates will understand
- The principles of DOE
- The need for experimentation and different approaches to experimentation
- How to select relevant factors (process inputs) for DOE
- How to establish orthogonal arrays (structured selection of tests to run, to minimise the amount of testing needed)
- How to design and run an experiment
- How to graph and analyse DOE results
- How to bring about a significant increase in process results, based on scientific understanding of influencing process inputs.
- Introduction to DOE
- Designing and running a simple experiment
- Analysing an experiment graphically and statistically
- Trial experiment & practical session for candidates on injection moulding machine
- Centre points and blocking
- Fractional factorial experiments – how to screen many factors with a few runs
- Follow-up on practical experiment
- Plackett-Burman experiments
- Response surface methodology
- Case study review
Who Should Attend?
Engineers and Quality staff involved in Optimising process settings to improve product quality.
The successful completion of this programme by the learner does not lead to an award, but a certificate of attendance is issued to each participant.
Safety Shoes – Not Required on this course