Consider a process to prepare a metal for a certain application. There are five parameters that must be considered: temperature, quenching rate, cooling time, carbon content, CO2 concentration. It is desired to determine which of these parameters has the most influence on the process. There are two levels for each parameter as shown below. Eight experiments were defined as follows: Experiment Carbon Content (wt% C) 1 2 3 4 5 1) What size orthogonal array should be used for evaluation (assume noise is negligible)? 2) Generate the array with the level values (i.e. Level 1 and Level 2). 6 7 8 Temperature (°C) Quenching Rate(°C/s) Cooling time (s) Carbon Content (wt% C) CO₂ Concentration (%) 3 4 5 6 7 8 1 1 1 1 6 6 6 6 Quenching Rate (°C/s) Four trials were run for the experiments defined above: Experiment 1 T1 68.00 69. 74.36 71.71 91.27 54.39 64.65 60.31 35 35 140 140 35 35 140 140 Level 1 760 35 1 1 5 Cooling Time 1 1 300 300 300 300 1 1 T2 61.41 41 7元 4.76 61.30 Level 2 900 140 58.42 90.89 73.01 91.51 60.69 300 6 20 CO₂ Concentration (mol %) 5 20 5 20 5 20 5 20 T3 66.33 86.07 94.57 77.23 84.54 50.10 72.68 76.73 Temperature (°C) 760 900 760 900 900 760 900 760 T4 97.07 51.67 96.81 60.05 63.72 79.62 84.33 74.97 3) Find the average output and S/N ratio for each experiment. Hint: This problem is similar to the one above. You have the output in the above table and you can use that to generate the S/N. 4) From your analysis, what parameter influences the process most? Explain your results.
Design Against Fluctuating Loads
Machine elements are subjected to varieties of loads, some components are subjected to static loads, while some machine components are subjected to fluctuating loads, whose load magnitude tends to fluctuate. The components of a machine, when rotating at a high speed, are subjected to a high degree of load, which fluctuates from a high value to a low value. For the machine elements under the action of static loads, static failure theories are applied to know the safe and hazardous working conditions and regions. However, most of the machine elements are subjected to variable or fluctuating stresses, due to the nature of load that fluctuates from high magnitude to low magnitude. Also, the nature of the loads is repetitive. For instance, shafts, bearings, cams and followers, and so on.
Design Against Fluctuating Load
Stress is defined as force per unit area. When there is localization of huge stresses in mechanical components, due to irregularities present in components and sudden changes in cross-section is known as stress concentration. For example, groves, keyways, screw threads, oil holes, splines etc. are irregularities.

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