Contents: 1. Identification of various physical quantities affecting the process. 2. Dimensional analysis. 3. Test sequence and experimentation plan. 4. Selection and calibration of instruments for measurement of dependent and Independent variables. 5. Design of Experimentation. 6. Test data checking and rejection. 7. Data Analysis. 8. Formulation of Experimental Data Based Modeling. 9. Artificial Neural Network Simulation. The book covers an approximate generalized experimental data based models for the human-powered chaff cutting machine system has been established for responses of the system such as resistive torque, number of cuts and process time during one energization of the flywheel. On the basis of these models, optimal values of various independent dimensionless ratios were established to optimize the performance of this system. An Artificial Neural Network simulation has been developed for the phenomenon which truly represents the degree of interaction of various independent variables. The approximate generalized experimental data based models established in this research are amply validated by experimental findings. The book covers emphasis on mechanism and machine and while de-emphasizing intimidating Formulation of Experimental Data Based Modeling aspects. This approach is more in line with research intuitions and makes clear the objective matter much easier. The goal throughout has been to offer a researcher text book methodology of experimentation includes following sequential steps.