AK60-6 V3.0 KV80 vs AK45-36 KV80

The AK60-6 V3.0 KV80 has a higher torque constant (0.135 N·m/A against 0.11 N·m/A), is shallower (43 mm against 54 mm), and turns faster at the output (233/490 RPM against 40 RPM). The AK45-36 KV80 has more continuous torque (8 N·m against 3 N·m) and more peak torque (24 N·m against 9 N·m), draws less current at its rating (2 A against 3.8 A), and is lighter (340 g against 380 g) and narrower (55 mm against 79 mm).

The AK60-6 V3.0 KV80 is US$335 and the AK45-36 KV80 is US$168. That is US$111.67 per rated N·m for the AK60-6 V3.0 KV80 and US$21.00 per rated N·m for the AK45-36 KV80.

Which to buy

Every published specification

AK60-6 V3.0 KV80AK45-36 KV80
Reduction Ratio6:136:1
Rated Torque (N·m)38
OD (mm)7955
Weight (g)380340
Peak Torque (N·m)924
Motor Constant Km (N·m/√W)0.15—
Rated Voltage (V)24/4824
Rated Speed (RPM)233/49040
Rated Current (A)3.82
Peak Current (A)0.3/11.26.5
Maximum Torque Weight Ratio (N·m/kg)23.68—
Height (mm)4354
Back Drive (N·m)0.20.8
Kv (RPM/V)8080
Kt (N·m/A)0.1350.11
Ke (V/kRPM)12.512.5
Phase to Phase Resistance (mΩ)5951.8
Phase to Phase Inductance (μH)6761.1
Inertia (g·cm²)243.5—
Mechanical Time Constant (ms)0.810.83
Electrical Time Constant (ms)0.69—
Pole Pairs1414
Winding TypeStar Backlash (°) 0.55Star
Number of Encoder133
Inner Loop Encoder TypeMagnetic Encoder14bit
Inner Ring Encoder Resolution16bit—
CAN ConnectorXT30PW(2+2)-MA1257WR-S-3P
UART ConnectorA1257WR-S-3PXT30PW-M
Temperature SensorNTC MF51B 103F3950NTC MF51B 103F3950
Operation Ambient Temperature-20℃~50℃-20℃~50℃
Driving WayFOCFOC
ApplicationLegged Robot, Exoskeleton, AGVLegged Robot, Exoskeleton, AGV
No-Load Speed (RPM)—52
Maximum Torque Density (N·m/kg)—70.5
Backlash (arcmin)—12
Rotor Inertia (g·cm²)—32
Motor Constant (N·m/√W)—0.15
Number of Slots—24
Outer Ring Encoder Resolution—1
Power Connector—Magnetic Encoder
Noise dB (65cm away the motor)—65
Basic Dynamic Load Rating Cr (N)—2810
Basic Static Load Rating C0r (N)—2760
Insulation Level—F

Rows the two disagree on are marked; the figures are CubeMars'. To put any other two parts side by side, build your own comparison.