我们公司专业生产NTC(热敏电阻、温度传感器、温度探头、芯片等),并且生产出的产品高精度高可靠高稳定性、一般使用的NTC热敏电阻的阻值在1K、10K、50K、100K、200K等。应用于家用电器(空调、电饭煲)、电子产品、医疗行业、工业技术等多项领域。
今天给大家简单介绍其中一种50K的NTC热敏电阻(图片如下),并且附上50K3950温度/阻值参数对照表。
MF58玻封二极管(点击图片可了解其信息)
这种系列的NTC热敏电阻往往是MF58玻封二极管,取用轴向焊料涂层铜包钢电线一体精制而成。二极管式热敏电阻专为各种应用(包括汽车,电信,HVAC和白色家电)中的精确温度测量,控制和补偿而设计。也可用于家用电器(例如电饭锅,电子炉和烤箱)以及工业产品(例如药品,化学药品和组件)的温度感测。
产品特点:
功率小、高频率
阻值及B值的精度高
灵敏度高、快速感应
可在高温等恶劣环境
使用 体积小,结构坚固,便于自动化安装
该产品的应用范围:
工业、医疗、环保、食品加工设备的温度控制与检验
仪表线圈、集成电路、石英晶体振荡器和热电偶的温度补偿
办公自动化设备的温度检测或温度补偿,如复印机和打印机等
家用电器的温度控制与温度检测,如空调机、电饭煲、电磁炉、电风扇、吹风机、电取暖炉等
NTC热敏电阻50K3950温度/阻值参数对照表
阻值:50k Ohms at 25deg. C
B值:3950K at 25/50 deg. C
Temp. |
R |
Temp. |
R |
Temp. |
R |
Temp. |
R |
(deg. C) |
(kOhms) |
(deg. C) |
(kOhms) |
(deg. C) |
(kOhms) |
(deg. C) |
(kOhms) |
-30 |
872.2164 |
53 |
15.9693 |
136 |
1.1648 |
219 |
0.1762 |
-29 |
820.1 |
54 |
15.3769 |
137 |
1.1345 |
220 |
0.1728 |
-28 |
771.4299 |
55 |
14.8093 |
138 |
1.1052 |
221 |
0.1695 |
-27 |
725.9572 |
56 |
14.2653 |
139 |
1.0767 |
222 |
0.1662 |
-26 |
683.4525 |
57 |
13.7438 |
140 |
1.049 |
223 |
0.163 |
-25 |
643.704 |
58 |
13.2437 |
141 |
1.0222 |
224 |
0.1599 |
-24 |
606.5164 |
59 |
12.7642 |
142 |
0.9961 |
225 |
0.1568 |
-23 |
571.7094 |
60 |
12.3042 |
143 |
0.9708 |
226 |
0.1538 |
-22 |
539.1163 |
61 |
11.8629 |
144 |
0.9463 |
227 |
0.1509 |
-21 |
508.5832 |
62 |
11.4395 |
145 |
0.9224 |
228 |
0.148 |
-20 |
479.9676 |
63 |
11.0331 |
146 |
0.8993 |
229 |
0.1452 |
-19 |
453.1378 |
64 |
10.643 |
147 |
0.8768 |
230 |
0.1425 |
-18 |
427.9719 |
65 |
10.2684 |
148 |
0.8549 |
231 |
0.1398 |
-17 |
404.3569 |
66 |
9.9087 |
149 |
0.8337 |
232 |
0.1372 |
-16 |
382.1881 |
67 |
9.5633 |
150 |
0.8131 |
233 |
0.1347 |
-15 |
361.3687 |
68 |
9.2314 |
151 |
0.793 |
234 |
0.1322 |
-14 |
341.8087 |
69 |
8.9125 |
152 |
0.7736 |
235 |
0.1297 |
-13 |
323.4247 |
70 |
8.6061 |
153 |
0.7546 |
236 |
0.1273 |
-12 |
306.1391 |
71 |
8.3115 |
154 |
0.7362 |
237 |
0.125 |
-11 |
289.8801 |
72 |
8.0284 |
155 |
0.7184 |
238 |
0.1227 |
-10 |
274.5809 |
73 |
7.7561 |
156 |
0.701 |
239 |
0.1204 |
-9 |
260.1794 |
74 |
7.4943 |
157 |
0.6841 |
240 |
0.1183 |
-8 |
246.6178 |
75 |
7.2424 |
158 |
0.6676 |
241 |
0.1161 |
-7 |
233.8423 |
76 |
7.0002 |
159 |
0.6517 |
242 |
0.114 |
-6 |
221.8032 |
77 |
6.7671 |
160 |
0.6361 |
243 |
0.1119 |
-5 |
210.4537 |
78 |
6.5427 |
161 |
0.621 |
244 |
0.1099 |
-4 |
199.7506 |
79 |
6.3268 |
162 |
0.6063 |
245 |
0.108 |
-3 |
189.6534 |
80 |
6.1189 |
163 |
0.592 |
246 |
0.106 |
-2 |
180.1246 |
81 |
5.9188 |
164 |
0.5781 |
247 |
0.1041 |
-1 |
171.1289 |
82 |
5.726 |
165 |
0.5646 |
248 |
0.1023 |
0 |
162.6337 |
83 |
5.5404 |
166 |
0.5514 |
249 |
0.1005 |
1 |
154.6084 |
84 |
5.3616 |
167 |
0.5386 |
250 |
0.0987 |
2 |
147.0244 |
85 |
5.1893 |
168 |
0.5261 |
251 |
0.097 |
3 |
139.855 |
86 |
5.0233 |
169 |
0.5139 |
252 |
0.0953 |
4 |
133.0755 |
87 |
4.8632 |
170 |
0.5021 |
253 |
0.0936 |
5 |
126.6624 |
88 |
4.709 |
171 |
0.4906 |
254 |
0.092 |
6 |
120.594 |
89 |
4.5603 |
172 |
0.4794 |
255 |
0.0904 |
7 |
114.85 |
90 |
4.4169 |
173 |
0.4685 |
256 |
0.0888 |
8 |
109.4112 |
91 |
4.2787 |
174 |
0.4578 |
257 |
0.0873 |
9 |
104.26 |
92 |
4.1453 |
175 |
0.4475 |
258 |
0.0858 |
10 |
99.3794 |
93 |
4.0166 |
176 |
0.4374 |
259 |
0.0843 |
11 |
94.7539 |
94 |
3.8925 |
177 |
0.4276 |
260 |
0.0828 |
12 |
90.3689 |
95 |
3.7727 |
178 |
0.418 |
261 |
0.0814 |
13 |
86.2105 |
96 |
3.6572 |
179 |
0.4087 |
262 |
0.08 |
14 |
82.266 |
97 |
3.5456 |
180 |
0.3996 |
263 |
0.0787 |
15 |
78.5231 |
98 |
3.4379 |
181 |
0.3908 |
264 |
0.0773 |
16 |
74.9705 |
99 |
3.3339 |
182 |
0.3822 |
265 |
0.076 |
17 |
71.5976 |
100 |
3.2334 |
183 |
0.3738 |
266 |
0.0748 |
18 |
68.3944 |
101 |
3.1364 |
184 |
0.3656 |
267 |
0.0735 |
19 |
65.3514 |
102 |
3.0427 |
185 |
0.3576 |
268 |
0.0723 |
20 |
62.4599 |
103 |
2.9522 |
186 |
0.3498 |
269 |
0.0711 |
21 |
59.7115 |
104 |
2.8648 |
187 |
0.3422 |
270 |
0.0699 |
22 |
57.0985 |
105 |
2.7802 |
188 |
0.3348 |
271 |
0.0687 |
23 |
54.6134 |
106 |
2.6986 |
189 |
0.3276 |
272 |
0.0676 |
24 |
52.2494 |
107 |
2.6196 |
190 |
0.3206 |
273 |
0.0665 |
25 |
50 |
108 |
2.5433 |
191 |
0.3137 |
274 |
0.0654 |
26 |
47.859 |
109 |
2.4695 |
192 |
0.307 |
275 |
0.0643 |
27 |
45.8208 |
110 |
2.3981 |
193 |
0.3005 |
276 |
0.0633 |
28 |
43.8797 |
111 |
2.3291 |
194 |
0.2941 |
277 |
0.0623 |
29 |
42.0308 |
112 |
2.2623 |
195 |
0.2879 |
278 |
0.0612 |
30 |
40.2693 |
113 |
2.1977 |
196 |
0.2819 |
279 |
0.0603 |
31 |
38.5905 |
114 |
2.1353 |
197 |
0.276 |
280 |
0.0593 |
32 |
36.9901 |
115 |
2.0748 |
198 |
0.2702 |
281 |
0.0583 |
33 |
35.4642 |
116 |
2.0163 |
199 |
0.2646 |
282 |
0.0574 |
34 |
34.0089 |
117 |
1.9596 |
200 |
0.2591 |
283 |
0.0565 |
35 |
32.6205 |
118 |
1.9048 |
201 |
0.2537 |
284 |
0.0556 |
36 |
31.2958 |
119 |
1.8517 |
202 |
0.2485 |
285 |
0.0547 |
37 |
30.0315 |
120 |
1.8003 |
203 |
0.2434 |
286 |
0.0538 |
38 |
28.8244 |
121 |
1.7506 |
204 |
0.2384 |
287 |
0.053 |
39 |
27.6719 |
122 |
1.7024 |
205 |
0.2335 |
288 |
0.0522 |
40 |
26.5711 |
123 |
1.6557 |
206 |
0.2288 |
289 |
0.0513 |
41 |
25.5194 |
124 |
1.6104 |
207 |
0.2242 |
290 |
0.0505 |
42 |
24.5146 |
125 |
1.5666 |
208 |
0.2196 |
291 |
0.0497 |
43 |
23.5542 |
126 |
1.5241 |
209 |
0.2152 |
292 |
0.049 |
44 |
22.636 |
127 |
1.483 |
210 |
0.2109 |
293 |
0.0482 |
45 |
21.7581 |
128 |
1.4431 |
211 |
0.2067 |
294 |
0.0475 |
46 |
20.9185 |
129 |
1.4045 |
212 |
0.2025 |
295 |
0.0467 |
47 |
20.1153 |
130 |
1.367 |
213 |
0.1985 |
296 |
0.046 |
48 |
19.3467 |
131 |
1.3306 |
214 |
0.1946 |
297 |
0.0453 |
49 |
18.6112 |
132 |
1.2954 |
215 |
0.1907 |
298 |
0.0446 |
50 |
17.9072 |
133 |
1.2612 |
216 |
0.187 |
299 |
0.0439 |
51 |
17.2331 |
134 |
1.2281 |
217 |
0.1833 |
300 |
0.0433 |
52 |
16.5876 |
135 |
1.196 |
218 |
0.1797 |
|
|