Wire electro-discharge machining (WEDM) is a fully extended and competitive machining process widely used for hard and difficult to machine materials. In the present research, experimental investigation have been conducted to find out the wire wear rate at different machining parameter Such as peak current, pulse on time, pulse off time, based on full factorial design of experiment. Molybdenum ...

Number of findings have shown that the used vegetable oils (UVOs) properties can be enhanced by changing their chemical structure and utilized as dielectric liquid in oil-immersed transformers. However, earlier researchers one-factor-at-a-time (OFAT) method for experimental design approach. Nevertheless, they failed to consider possibility combining mixing process parameters at highest ratios c...

Random Forests are a powerful classification technique, consisting of a collection of decision trees. One useful feature of Random Forests is the ability to determine the importance of each variable in predicting the outcome. This is done by permuting each variable and computing the change in prediction accuracy before and after the permutation. This variable importance calculation is similar t...

This experiment was carried out to study the effect of humic acid and growth promoting bacteria on uptake of cadmium heavy metal by annual alfalfa (Medicago scutellata L.). The experiment was arranged in pot experiment conditions in Isfahan, Iran in 2011. A factorial design was used based on completely randomized block design with four replications. Experimental treatments were humic acid and g...

BACKGROUND Energy-based surgical scalpels are designed to efficiently transect and seal blood vessels using thermal energy to promote protein denaturation and coagulation. Assessment and design improvement of ultrasonic scalpel performance relies on both in vivo and ex vivo testing. The objective of this work was to design and implement a robust, experimental test matrix with randomization rest...

Information in a statistical experiment is often measured through the determinant of its information matrix. Under first order normal linear models, the determinant of the information matrix of a two-level factorial experiment neither depends on where the experiment is centered, nor on how it is oriented, and balanced allocations are more informative than unbalanced ones with the same number of...

An experiment consists of a collection of units, or plots, to which a number of treatments are applied. In a factorial experiment the effects of several different sets of conditions are compared, e.g., three different temperatures, T1, T2 and T3, and two different pressures, P1 and P2. The conditions are known as factors and the different values the conditions take are known as levels. In a fac...