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Peak pressure, crank angle and induction pressure were measured in cylinder number one of a Ford 4.6 liter Modular engine. Chaos analysis was conducted on these measurements and the phase, waveform, Poincare, and FFT plots are presented. These plots show conclusively that the pressure fluctuation inside a cylinder is a broadband chaos.

The purpose of this study was to increase IC engine performance by “tuning” the exhaust system to different induction system pressures using an empirical based modeling approach. The two distinct induction pressures are atmospheric and 13-15 mmHg above atmospheric. The above atmospheric induction pressure occurs when the race car is in the lead; the atmospheric pressure occurs with the race car is following the lead or “in the draft.” Since it is ideal to achieve optimum performance for both induction pressures, the problem was formulated and optimized using an empirical Multiple Response Surface Method (MRSM) approach. MRSM is a process that “extracts” multiple objective performance information through carefully controlled experiments and data modeling techniques. An analysis of the experimental data will identify the ideal header length configuration that maximizes performance for both induction pressure extremes.