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+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib.animation as animation
+from scipy.optimize import fsolve
+
+# Link lengths (arbitrary units)
+L1 = 4.0 # Ground link
+L2 = 2.0 # Input crank
+L3 = 3.0 # Coupler
+L4 = 3.5 # Output rocker
+
+# Fixed pivots
+A = np.array([0, 0])
+D = np.array([L1, 0])
+
+# Input crank angle range
+theta2_vals = np.linspace(0, 2 * np.pi, 360)
+
+# Store previous angles to ensure continuity
+previous_guess = [np.pi / 2, np.pi / 2]
+
+# Solve joint positions using loop closure equations
+def solve_positions(theta2):
+ global previous_guess
+ B = A + L2 * np.array([np.cos(theta2), np.sin(theta2)])
+
+ def loop_closure(vars):
+ theta3, theta4 = vars
+ eq1 = L2 * np.cos(theta2) + L3 * np.cos(theta3) - L4 * np.cos(theta4) - L1
+ eq2 = L2 * np.sin(theta2) + L3 * np.sin(theta3) - L4 * np.sin(theta4)
+ return [eq1, eq2]
+
+ theta3, theta4 = fsolve(loop_closure, previous_guess)
+ previous_guess = [theta3, theta4] # update guess for continuity
+
+ C = B + L3 * np.array([np.cos(theta3), np.sin(theta3)])
+ return A, B, C, D
+
+# Set up plot
+fig, ax = plt.subplots()
+ax.set_xlim(-5, 8)
+ax.set_ylim(-5, 5)
+ax.set_aspect('equal')
+line, = ax.plot([], [], 'o-', lw=2)
+
+def init():
+ line.set_data([], [])
+ return line,
+
+def update(frame):
+ A, B, C, D = solve_positions(theta2_vals[frame])
+ x_vals = [A[0], B[0], C[0], D[0]]
+ y_vals = [A[1], B[1], C[1], D[1]]
+ line.set_data(x_vals, y_vals)
+ return line,
+
+ani = animation.FuncAnimation(fig, update, frames=len(theta2_vals), init_func=init,
+ blit=True, interval=20, repeat=True)
+plt.title("Four-Bar Linkage Simulation")
+plt.show() \ No newline at end of file