Suggested by On the Apex.
Here are the signs that’ll tell you when it's time to fix the valves:
More information <a href=https://telegra.ph/Keeping-Your-Ride-Smooth-The-Importance-and-Cost-of-Tire-Balancing-05-31>https://telegra.ph/Keeping-Your-Ride-Smooth-The-Importance-and-Cost-of-Tire-Balancing-05-31</a>
Omega, Torque = np.meshgrid(motor_speed, motor_torque) # Generate max torque curve Omega_Max = np.arange(0,577,1) vf = np.vectorize(speed_2_torque) Torque_Max = vf(Omega_Max) # clean contour lines outside the max torque curve for i in range(motor_torque.size): for j in range(motor_speed.size): if Torque[i][j] > speed_2_torque(Omega[i][j]): motor_eff_map[i][j] = np.nan fig = plt.figure(figsize=(12,6)) ax = plt.axes() ax.set_title('Motor Torque Curve and Efficiency Map') ax.set_xlabel('Motor speed (rad/s)') ax.set_ylabel('Motor torque (N.m)') ax.set_xlim(right=600) ax.set_ylim(top = 800) # Plot contour lines of motor efficiency my_levels = np.append(np.arange(0.5,0.9,0.05),np.arange(0.9,1,0.005)) c = plt.contour(Omega,Torque, motor_eff_map, levels = my_levels, cmap='Spectral') ax.clabel(c, inline=1, fontsize=10) # label contour lines # Plot continuous colorbar norm= matplotlib.colors.Normalize(vmin=c.cvalues.min(), vmax=c.cvalues.max()) sm = plt.cm.ScalarMappable(norm=norm, cmap = c.cmap) sm.set_array([]) fig.colorbar(sm,ax=ax) # Plot max torque curve plt.plot(Omega_Max,Torque_Max,linewidth=3,color='k') plt.show()
Electric vehicle results.
In reply to by Anonymous (not verified) No, swap second gear. listen to them grind. https://youtu.be/R7M1RtnXzHw?t=1h30ms 04/02/2016 - 09:45 |
In fact, it’s often the first step in helping restore a neglected vehicle to top-notch performance. And, often when you buy a used vehicle, that’s what you’re getting – a vehicle whose owner found antiquing on Saturday afternoon more enjoyable than changing oil or dropping the transmission pan. Consequently, your “pre-owned” ride, while not complete junk, may boast a sketchy maintenance record.
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