A combined FEA and design of experiments approach for the design and analysis of warm forming of aluminum sheet alloys

Ti/TiN/HA coating on Ti–6Al–4V for biomedical applications

“…Taguchi empirically demonstrated that the two stage optimization procedure including S/N ratios yields a combination of parameter levels, where the standard deviation is minimized while keeping the mean on target [40]. This conveys the notion that engineering systems behave in such a way that the manipulated production factors can be classified into the following three categories.…”

Statistical and Regression Analysis of Vibration of Carbon Steel Cutting Tool for Turning of EN24 Steel Using Design of Experiments

“…It is used casually to refer to the ratio of useful information to false or immaterial data in a conversation or exchange. In other words, the standard deviation cannot be lessened first and the mean carried to the target [18,19,20].Taguchi empirically founded that the two stage optimization procedure involving S/N ratios indeed gives the parameter level combination, where the standard deviation is minimum while keeping the mean on target [21].This suggests that engineering systems act in such a manner that the manipulated production factors can be separated into three categories: i.e. control factors, signal factors and factors.…”

The non-isothermal hot deep drawing of AA5083 aluminum alloy

“…The higher rise in diagram slope at speed of 60 mm min -1 confirms this issue. It should be pointed out that the escalating trend of the LDR variations up to hot temperatures can be originated from the superplasticity behavior, which was not previously reported for some aluminum grades [25,[31][32][33].…”