Atwood’s Machine mcup1 = grams Partner Data mcup2 (In the example below, mcup1 = 5.2 g and mcup2 Name FNet in FNet in = 5.9 g; Substitute in your own masses of the cups.) = grams Part A: Total Mass Held Constant mass 1 mass 2 m1–m2 FNet 71+5.2 = 70+5.9 = 0.300 g 294 dynes 76.2 g 75.9 g 980*0.3 = “g” = 980 cm/s2 “g” = 9.8 m/s2 Dynes Newtons Plotting FNet vs acceleration slope Use LineFit: Plot FNet vs accel Example ONLY 1.31 cm/s2 ( y-int x-int slope (cm/s2) ) (grams) mpulley Ffriction Don’t Forget Questions from Part B: Net Force Held Constant (m1 – m2 = _____ grams) mass 1 (grams) mass 2 (grams) accel ( ) 1/a (s2/cm) m1 + m2 ( ) A & B !!! Plotting 1/a vs m1 + m2 Start at origin for graph by hand y-int x-int FNet (m1 – m2) g slope FNet mpulley (from data) (from graph/data includes friction) Ffriction LineFit for comparison y-int Part C: Predicting the mass distribution that will yield a given acceleration eq. 4 (m1 – m2)g – Ff = mT a Predicted (calculated) mtotal (grams) 100.0 mass1 (grams) mass2 (grams) Slope (cm/s2) 60.0 x-int slope Part D: Predicting the acceleration of the freely spun pulley Experimental acceleration (3 values for uncertainty) Predicted acceleration Note: Ff pulley = mpulley apulley Experimental (Actual mass) Since you have a limited number of masses in your mass holder set, actual m1 & m2 usually varies slightly from calculated m1 & m2 a = -____ ± ___ a = -______ cm/s2 For predicted Part C and Part D, please use mpulley from Part A and Ff from Part B; Reasoning: unknowns obtained from slopes typically have less % uncertainty than unknowns obtained from intercepts.