TECHNIQUE 50 Design of Experiments

Jamieson C, Congreave MS, Emiabata-Smith DF, Ley SV, Scicinski J (2002) application of ReactArray robotics and design of experiments techniques in optimisation of supported reagent chemistry. J Org Proc Res Dev 6 823-825... 

Initial process development Early development studies were carried out using a laboratory-scale 24" Accela-Cota and employing a statistical design of experiments technique in which the operational variables were as shown in Table 8. Although several response variables were examined... 

To undertake robust design, you ll definitely need help from an experienced engineer or statistician familiar with this approach to testing and analysis. You ll also need to know how to apply several other techniques in this book including Performance and Perception Expectations (Technique 30), Axiomatic Design (Technique 31), Design FMEA (Technique 40), and Design of Experiments (Technique 50). 

While the purpose of Design Scorecards is to prevent problems, defects, and errors through superior design, they also enable better problem detection after a new solution (design) is implemented. If you are in detect-and-fix mode, any number of process-optimization techniques may help, such as Process Behavior Charts (Technique 52), Cause Effect Matrix (Technique 54), Mistake Proofing (Technique 49), and Design of Experiments (Technique 50). 

Build a seorecard for each critical component using his-toiieal proeess eapability data (see Teehnique 37), Design of Experiments (Technique 50), and simulations. You can then use this data to predict the overall performance of each of the eomponents. 

You can use Design of Experiments (Technique 50) to help you determine specific attribute combinations you should test during the simulation. Design of Experiments allows you to identify interactions caused by changing two or more variables simultaneously. 

Solving Class 4 problems is what you do when you don t know what you re doing—basic research, where discoveries are made but the path to commercialization is unclear. As such they fall outside the scope of this book—although techniques like Biomimicry (Technique 26), Trend Prediction (Technique 14), Provocation and Movement (Technique 22) and Design of Experiments (Technique 50) can help the Class 4 problem solver. 

The properties of GF evaluated are essential in determining the properties of GSA and GSA-SDS composites. The process variables affecting or influencing the behavior of the GSA and GSA-SDS composites fabricated via FM are studied in detail via ANOVA design of experiment technique. ANOVA statistical tool is utilized to gage the process variables that have significant effect on the composites properties. 

X., Harel, F., Kauffmann, ).M., and Goquery, G. (2009) Design of experiment techniques for fuel cell characterization and development. Int.J. Hydrogen Energy, 34,... 

There are a number of mathematical tools that are used in the world of manufacturing. Statistical Process Control is used to monitor and control the process parameters that are used to manufacture parts. Tolerance Analyses are used to analyze and predict fit and function of final assemblies. Pareto Analysis techniques are used to assess the contribution of various factors in problem situations. Design of Experiments techniques are used to quantify the variables in a given process or application. 

Unlike the previous papers [5,6], this paper compares the foaming behaviors of two environmentally benign PBAs, namely N2 and CO2, to help understand PBA-based foaming mechanisms in WPC. It is known that the solubility and diffusivity of N2 in HDPE are lower than those of CO2 [12]. These property distinctions would lead to different foaming behaviors. Design of experiment technique (S-Matrix CARD) was applied to design the experiments and analyze the results. 

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