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confidence interval (95% here) and the number of degrees of freedom. The Sum of Experimental Error (SEE) is defined as follows: N Y aX b (A.2) The random uncertainty is calculated from the acquired data and combined with the systematic uncertainty for error propagation. Examples are provided in the following sections. A.2 Dynamometer The Mid-West DynSystems 1014A DYN-LOC IV eddy current dynamometer is capable of measuring loads up to 130 kW. Because the output of the test engine was significantly below the rated load of the dynamometer, care was taken to calibrate over the relevant load range. The dynamometer measures output via a load cell attached to the torque arm. The torque from the engine rotates the torque arm and applies a force to the load cell. The force on the load cell coupled with the known torque arm length is then used to calculate the torque applied by the engine. An additional, longer arm is provided for calibration purposes. Weights are hung at the end of the calibration arm, which also has a known length. Therefore, the torque applied from the weights can be accurately calculated and compared to the torque displayed on the dyno controller. The calibration data was used to create a least squares curve fit for correction of the measured torque. The analysis outlined in the previous section was then applied to find the uncertainty of the calibrated torque values. The summary of the calibration uncertainty values is presented in Table A-1. The torque measurement accuracy was further limited by the low resolution of the display (1 N-m). Therefore, the uncertainty found from equation (A.1) was further modified to account for the lack of resolution as follows: u u2 u2 (A.3) sys,tot sys res SEE i1 ii n2 195PDF Image | WASTE HEAT RECOVERY FROM A HIGH TEMPERATURE DIESEL ENGINE
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