₹3,918.00 Excluding GST
Product Details:
| Product | Description |
|---|---|
| Brand | Autonics |
| Model No. | TCN4L-24R |
| Display method | 4-digit 7-segment LED |
| Control method | ON/OFF control, P, PI, PD, PID control |
| Input specification | Thermocouple: K(CA), J(IC), T(CC), R(PR), S(PR), L(IC) RTD: DPt100?, Cu50℃ |
| Sampling cycle | 100ms |
| Control output | Relay(250VAC~ 3A) or SSR drive(12VDC) [ON/OFF] |
| Option output | Alarm 1/2 |
| Power supply | 100-240VAC~ 50/60Hz |
| Approval | CE |
| Display accuracy RTD | •At room temperature(23ºC ± 5ºC):(PV ± 0.5% or ±1ºC, select the higher one) ± 1-digit •Out of room temperature range:(PV± 0.5% or ±2ºC, select the higher one)± 1-digit |
| Display accuracy Thermocouple | •At room temperature(23ºC ± 5ºC):(PV ± 0.5% or ±1ºC, select the higher one) ± 1-digit •Out of room temperature range:(PV± 0.5% or ±2ºC, select the higher one)± 1-digit |
| Hysteresis(adjustable sensitivity) | 1 to 100℃/℉(0.1 to 50.0℃/℉) variable |
| Proportional band | 0.1 to 999.9?/? |
| Integral time | 0 to 9999 sec |
| Derivative time | 0 to 9999 sec |
| Control period | 0.5 to 120.0 sec |
| Manual reset | 0.0 to 100.0% |
| Environment Ambient temperature | -10 to 50℃, storage: -20 to 60℃ |
| Environment Ambient humidity | 35 to 85% RH, storage: 35 to 85% RH |
| Insulation type | Double insulation or reinforced insulation(mark:  , dielectric strength between the measuring input part and the power part: AC power 2kV, AC/DC Power 1kV) |
| Weight | Approx. 275g(approx. 179g) |
Above specifications mentioned are for quick reference only. Actual technical details has to be obtained from below catalog.
TCN4L-24R Autonics Temperature Controller
Features
● Realizes ideal temp. controlling with newly developed PID control algorithm and 100ms high speed sampling
● Built-in relay output or SSR output selectable : Enables to phase control and cycle control with SSR drive output(SSRP function)
● Dramatically increased visibility using wide display part
● Mounting space saving with compact design : Approx. 38% reduced size compared with existing model(depth-based)
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