产品参数: NTC温度传感器型号:MCW-45,名称:不锈钢T型热水器温度传感器,探头取用T形铜镀镍外壳,T处设计有安装孔两个,便于NTC探头固定在电器设备上。探头主要部份尺寸为7mmx34mm,安装孔4……

NTC温度传感器型号:MCW-45,名称:不锈钢T型热水器温度传感器,探头取用T形铜镀镍外壳,T处设计有安装孔两个,便于NTC探头固定在电器设备上。探头主要部份尺寸为φ7mmx34mm,安装孔φ4.5mm,适用于常规的螺丝。导线为PVC,线径0.14mm,总长度280mm。此温度传感器主要用途于调节热水器及电热壶的温度。
产品尺寸规格图:

产品特点:
• MF58玻封NTC热敏电阻元件
• 响应时间快,精度高
•稳定性好,一致性好
•耐热冲击性能优异。
•体积小,重量轻,价格便宜
•芯片通过合金焊接工艺与引线焊接
应用范围:
适用于家用热水器,电茶壶,饮水热水器
产品特性:
• 阻值:R25=11kΩ±3%
• B 值(3T) :B25/50=3950K±2%;B25/85=3989K
• 使用温度范围:-30℃〜+100℃
•热响应时间常数(水中)・・・・・・ 3秒
• 绝缘电阻:100MΩ或以上500V DC兆欧表(玻璃与导线之间)
R-T参数表:
| MITSUBISHI MATERIALS CORPORATION | |||
| NTC THERMISTOR R-T CHARACTERISTICS | |||
| T0 | T1 | T2 | |
| 25 | 25 | 50 | |
| R25:11k | 精度3% | ||
| B(25/50) | 3950K | ||
| T | Rmin | Rnom | Rmax |
| -30 | 181.6 | 198.8 | 217.4 |
| -29 | 170.8 | 186.7 | 203.9 |
| -28 | 160.7 | 175.4 | 191.4 |
| -27 | 151.3 | 164.9 | 179.6 |
| -26 | 142.4 | 155.1 | 168.7 |
| -25 | 134.2 | 145.9 | 158.6 |
| -24 | 126.5 | 137.4 | 149.1 |
| -23 | 119.3 | 129.4 | 140.2 |
| -22 | 112.5 | 121.9 | 131.9 |
| -21 | 106.2 | 114.9 | 124.2 |
| -20 | 100.2 | 108.3 | 116.9 |
| -19 | 94.65 | 102.2 | 110.2 |
| -18 | 89.43 | 96.4 | 103.8 |
| -17 | 84.53 | 91.01 | 97.9 |
| -16 | 79.92 | 85.95 | 92.35 |
| -15 | 75.6 | 81.2 | 87.14 |
| -14 | 71.53 | 76.74 | 82.26 |
| -13 | 67.71 | 72.56 | 77.69 |
| -12 | 64.12 | 68.63 | 73.39 |
| -11 | 60.74 | 64.94 | 69.37 |
| -10 | 57.56 | 61.47 | 65.58 |
| -9 | 54.57 | 58.21 | 62.03 |
| -8 | 51.75 | 55.14 | 58.7 |
| -7 | 49.09 | 52.25 | 55.56 |
| -6 | 46.59 | 49.53 | 52.61 |
| -5 | 44.22 | 46.96 | 49.83 |
| -4 | 41.99 | 44.55 | 47.21 |
| -3 | 39.89 | 42.27 | 44.75 |
| -2 | 37.9 | 40.12 | 42.43 |
| -1 | 36.02 | 38.09 | 40.24 |
| 0 | 34.25 | 36.17 | 38.17 |
| 1 | 32.57 | 34.36 | 36.23 |
| 2 | 30.98 | 32.66 | 34.39 |
| 3 | 29.48 | 31.04 | 32.66 |
| 4 | 28.07 | 29.52 | 31.02 |
| 5 | 26.72 | 28.08 | 29.48 |
| 6 | 25.45 | 26.72 | 28.02 |
| 7 | 24.25 | 25.43 | 26.64 |
| 8 | 23.12 | 24.21 | 25.34 |
| 9 | 22.04 | 23.06 | 24.11 |
| 10 | 21.02 | 21.97 | 22.95 |
| 11 | 20.05 | 20.94 | 21.85 |
| 12 | 19.13 | 19.96 | 20.81 |
| 13 | 18.26 | 19.04 | 19.83 |
| 14 | 17.43 | 18.16 | 18.89 |
| 15 | 16.65 | 17.32 | 18.01 |
| 16 | 15.91 | 16.53 | 17.17 |
| 17 | 15.2 | 15.78 | 16.38 |
| 18 | 14.53 | 15.07 | 15.63 |
| 19 | 13.89 | 14.4 | 14.91 |
| 20 | 13.28 | 13.76 | 14.23 |
| 21 | 12.71 | 13.15 | 13.59 |
| 22 | 12.16 | 12.57 | 12.98 |
| 23 | 11.64 | 12.02 | 12.4 |
| 24 | 11.14 | 11.5 | 11.85 |
| 25 | 10.67 | 11 | 11.33 |
| 26 | 10.2 | 10.53 | 10.85 |
| 27 | 9.758 | 10.08 | 10.4 |
| 28 | 9.335 | 9.649 | 9.965 |
| 29 | 8.933 | 9.242 | 9.552 |
| 30 | 8.551 | 8.854 | 9.159 |
| 31 | 8.187 | 8.484 | 8.784 |
| 32 | 7.84 | 8.132 | 8.427 |
| 33 | 7.51 | 7.796 | 8.086 |
| 34 | 7.196 | 7.476 | 7.761 |
| 35 | 6.897 | 7.171 | 7.45 |
| 36 | 6.611 | 6.88 | 7.154 |
| 37 | 6.339 | 6.603 | 6.871 |
| 38 | 6.08 | 6.338 | 6.601 |
| 39 | 5.833 | 6.085 | 6.343 |
| 40 | 5.597 | 5.844 | 6.096 |
| 41 | 5.372 | 5.613 | 5.86 |
| 42 | 5.157 | 5.393 | 5.635 |
| 43 | 4.952 | 5.183 | 5.419 |
| 44 | 4.756 | 4.981 | 5.213 |
| 45 | 4.569 | 4.789 | 5.016 |
| 46 | 4.39 | 4.605 | 4.827 |
| 47 | 4.219 | 4.43 | 4.646 |
| 48 | 4.056 | 4.262 | 4.474 |
| 49 | 3.9 | 4.101 | 4.308 |
| 50 | 3.751 | 3.947 | 4.15 |
| 51 | 3.608 | 3.8 | 3.998 |
| 52 | 3.472 | 3.659 | 3.852 |
| 53 | 3.341 | 3.524 | 3.713 |
| 54 | 3.216 | 3.395 | 3.58 |
| 55 | 3.097 | 3.271 | 3.451 |
| 56 | 2.982 | 3.152 | 3.329 |
| 57 | 2.872 | 3.038 | 3.211 |
| 58 | 2.767 | 2.929 | 3.098 |
| 59 | 2.666 | 2.825 | 2.989 |
| 60 | 2.57 | 2.724 | 2.885 |
| 61 | 2.477 | 2.628 | 2.785 |
| 62 | 2.389 | 2.536 | 2.689 |
| 63 | 2.303 | 2.447 | 2.597 |
| 64 | 2.222 | 2.362 | 2.508 |
| 65 | 2.143 | 2.28 | 2.423 |
| 66 | 2.068 | 2.202 | 2.341 |
| 67 | 1.996 | 2.126 | 2.263 |
| 68 | 1.927 | 2.054 | 2.187 |
| 69 | 1.86 | 1.984 | 2.114 |
| 70 | 1.796 | 1.917 | 2.045 |
| 71 | 1.735 | 1.853 | 1.977 |
| 72 | 1.676 | 1.791 | 1.913 |
| 73 | 1.619 | 1.732 | 1.85 |
| 74 | 1.564 | 1.674 | 1.79 |
| 75 | 1.512 | 1.619 | 1.733 |
| 76 | 1.462 | 1.566 | 1.677 |
| 77 | 1.413 | 1.515 | 1.623 |
| 78 | 1.366 | 1.466 | 1.572 |
| 79 | 1.322 | 1.419 | 1.522 |
| 80 | 1.278 | 1.373 | 1.474 |
| 81 | 1.237 | 1.33 | 1.428 |
| 82 | 1.197 | 1.287 | 1.384 |
| 83 | 1.158 | 1.247 | 1.341 |
| 84 | 1.121 | 1.207 | 1.299 |
| 85 | 1.085 | 1.17 | 1.259 |
| 86 | 1.051 | 1.133 | 1.221 |
| 87 | 1.018 | 1.098 | 1.184 |
| 88 | 0.9857 | 1.064 | 1.148 |
| 89 | 0.9549 | 1.032 | 1.114 |
| 90 | 0.9252 | 1 | 1.08 |
| 91 | 0.8966 | 0.9698 | 1.048 |
| 92 | 0.8691 | 0.9406 | 1.017 |
| 93 | 0.8425 | 0.9123 | 0.9871 |
| 94 | 0.8168 | 0.8851 | 0.9582 |
| 95 | 0.792 | 0.8587 | 0.9302 |
| 96 | 0.7681 | 0.8333 | 0.9031 |
| 97 | 0.745 | 0.8087 | 0.877 |
| 98 | 0.7227 | 0.785 | 0.8518 |
| 99 | 0.7012 | 0.762 | 0.8273 |
| 100 | 0.6804 | 0.7398 | 0.8037 |
