Mix ordinary white glue (Elmer's Glue) and a cross-linking agent: borax (20 MULE TEAM brand from your local grocery store). Eureka! You've made play putty. To make things more interesting, add laundry starch. (STA-FLO concentrated liquid) to the mixture. See how well you can do with this home-made material in comparison to the real thing sold commercially as a toy: Silly Putty.
Via case studies, this paper reviews the strategy of foldover on low-resolution (III) two-level fractional factorials and demonstrates how to reduce experimental runs by making use of semifoldover methods to augment medium-resolution (IV) designs.
Apply powerful design of experiments (DOE) tools to make your system more robust to variations in component levels and processing factors.
This article shows how to do a comprehensive experiment that combines mixture components with process factors in one crossed design.
An Italian translation of "Design Experiments that Combine Mixture Components with Process Factors."
La strategia tipica per il design of experiments (DOE) nell'industria chimica e: 1. La buona messa a punto della formulazione attraverso il design delle miscele. 2. L' ottimixxaxione del processo con il factorial design ed il response surface design. Generalmente questi due step sono do solito trattati separatamente dai chimici e dagli ingegneri chimici, rispettivamente. Tuttavia, le interazioni tra la variabili relative alla composizione ed I fattori di processo non possono come condurre un esperimento completo, che combini I componenti della miscela con I fattori di processo, in un "crossed" design.
The latest versions of dedicated DOE software exhibit more versatility than ever before to create optimal designs that handle any combination of mixture components, processing factors (such as time or temperature) and categorical variables (such as supplier and material type). These computer programs easily manipulate almost any number of responses in powerful optimization routine that reveal "sweet spots" - the operating windows that meet all specifications at minimal cost. In this paper, we review the basic principles of mixture design. Then we apply state-of-the-art tools for optimal design to the formulation of a coating.
Fractional two-level factorials are a powerful tool for making significant improvements to product quality and process efficiency. Unfortunately, this approach to design of experiments (DOE) may alias the main effects with their interactions. Then it is no longer clear which factors truly influence the process. In part 1, this paper illustrates the use of graphical technique for the viewing alternative aliased interactions. The graphical procedure enhances, but does not remove, the guesswork required when a highly -fractional design produces significant effects. The only sure way to pin down the actual effects will be to perform follow up experiments, which will be discussed in Part 2. A technique called "foldover" is tailor-made for de-aliasing effects. This sequential approach to DOE offers a great deal of flexibility to the quality engineer.
Design of experiments (DOE) has become an essential tool for the validation of medical manufacturing processes. A good description of why this statistical technique should be used is the assertion that processes "should be challenged to discover how outputs change as variables fluctuate within allowable limits." As an example of the benefits that such a validation tool can provide, this article describes a DOE that was run on a particular durable medical device known as the paraffin heat-therapy bath
Process engineers no longer can afford to experiment in a trial-and-error manner, changing one factor at a time, the way Edison did developing the light bulb. A far more effective method is to apply a systematic approach to experiments that considers all factors simultaneously. That approach is called design of experiments (DOE). Corporations throughout the world are adopting it as a cost-effective way to solve problems afflicting their operations.