First presented by Wilde at Interplas’11, this presentation looks at how ‘Reliability Engineering’ tools and methods are used to reduce risk in a typical product development lifecycle involving both plastic and metallic components. These tools range in complexity from simple approaches to managing product reliability data to the application of sophisticated simulation methods on large systems with complex duty cycles.
Three examples of reliability engineering methodologies are:
The presentation explores how gathering enough of the right kind of data and applying it in an intelligent way can reduce risk, not only in plastic product design and manufacture, but also in managing the associated supply chain and in the ‘Whole Life Management’ of products (including warranties). Furthermore, we will show how ‘sparse’ data gathered from previous or similar products, such as field/warranty reports, engineering testing data and supplier data sheets, as well as FEA, CFD and injection moulding/extrusion simulation, can inform and positively influence new product design processes from concept stage onwards.