 |
Brass Bullet NTC Thermistor Temperature Sensor 50K For Water Purifier
Product Details:
| Place of Origin: | DONGGUAN,GUANGDONG,CHINA |
| Brand Name: | AMPFORT |
| Certification: | ROHS |
| Model Number: | CWF503F3950FB500AJ |
Payment & Shipping Terms:
| Minimum Order Quantity: | 1000PCS |
|---|---|
| Price: | Contact us to get lastest price |
| Packaging Details: | Bulk |
| Delivery Time: | 10 workdays |
| Payment Terms: | T/T, Western Union, MoneyGram |
| Supply Ability: | 50000pcs per day |
|
Detail Information |
|||
| Name: | Thermistor Temperature Sensor | R25: | 50KΩ±1% |
|---|---|---|---|
| B25/50: | 3950K±1% | Connector: | VH-2P White |
| Housing: | Brass Bullet | Cable: | UL2651#24AWG |
| High Light: | Brass Bullet NTC Thermistor Temperature Sensor,Water Purifier NTC Thermistor Temperature Sensor,Water Purifier 50K Thermistor |
||
Product Description
Brass Bullet Thermistor Temperature Sensor 50K 1% 3950 For Water Purifier
Definition Of The Brass Bullet Thermistor Temperature Sensor
NTC temperature sensor is a high-precision, high-reliability NTC thermistor packaged with insulating, thermally conductive, and waterproof polymer materials (sometimes with the help of a housing probe) into the required shape, extending the lead, and combining a set of terminal connectors into a set A thermistor assembly for easy installation or remote temperature measurement and control.
Product application range Of The Brass Bullet Thermistor Temperature Sensor
Water heater, wall-hung stove, ice crusher, bread maker, oven, microwave oven, deep fryer, food processor, water dispenser, boiling bucket, electric kettle, coffee maker, soymilk machine, heater, dishwasher, disinfection cabinet, washing machine, Smart toilets, dryers, air conditioners and other household appliances, car air conditioners, refrigerators,Temperature measurement and control of refrigerators, medium and low temperature drying ovens, thermostats and other occasions.
Features Of The Brass Bullet Thermistor Temperature Sensor
High sensitivity and rapid response
Wide operating temperature zone, good stability and high reliability
Can provide products with different R and B values, strong interchangeability and high precision
Simple structure, easy installation, good waterproof
Dimension Of The Brass Bullet Thermistor Temperature Sensor (mm)
The main technical parameters Of The Brass Bullet Thermistor Temperature Sensor
| ⊙Nominal resistance: R25 (25℃): | (commonly used) 1.5K, 2K, 5K, 10K, 20K, 30K, 47K, 50K, 100K, 200K, 500K, etc. |
| ⊙ Resistance accuracy: | ±1%, ±2%, ±3% |
| ⊙B value R25/50: | (commonly used) 3435K, 3600K, 3950K, 3990K, 4100K, 4200K, etc. |
| ⊙B value accuracy: | ±1% |
| ⊙Using temperature range: | -40℃～+150℃ |
| ⊙Dissipation power coefficient: | ≥5 mW/℃ (in static air) |
| ⊙Maximum rated power: | 45mW |
| ⊙Heat time constant: | ≤7S (in static air) |
| ⊙Temperature coefficient of resistance: | -2～-5%/℃ |
| ⊙Insulation performance: | 500V DC test single insulation resistance ≥100MΩ |
| ⊙ Withstand voltage performance: | 1500V AC, 5s, 0.5mA without breakdown |
TEMPERATURE VS RESISTANCE TABLE Of The Brass Bullet Thermistor Temperature Sensor
Resistance 50k Ohms at 25deg. C
Resistance Tolerance + / - 1 %
B Value 3950K at 25/50 deg. C
B Value Tolerance + / - 1%
|
Temp. (deg. C) |
Rmax (k Ohms) |
Rnor (k Ohms) |
Rmin (k Ohms) |
| -40 | 1764.0991 | 1686.2506 | 1611.6761 |
| -39 | 1648.9200 | 1577.2083 | 1508.4642 |
| -38 | 1542.0403 | 1475.9557 | 1412.5619 |
| -37 | 1442.8086 | 1381.8864 | 1323.4042 |
| -36 | 1350.6287 | 1294.4446 | 1240.4735 |
| -35 | 1264.9539 | 1213.1206 | 1163.2949 |
| -34 | 1185.2841 | 1137.4478 | 1091.4330 |
| -33 | 1111.1600 | 1066.9972 | 1024.4872 |
| -32 | 1042.1609 | 1001.3758 | 962.0907 |
| -31 | 977.8999 | 940.2220 | 903.9054 |
| -30 | 918.0220 | 883.2036 | 849.6207 |
| -29 | 862.2010 | 830.0151 | 798.9508 |
| -28 | 810.1368 | 780.3755 | 751.6324 |
| -27 | 761.5532 | 734.0260 | 707.4231 |
| -26 | 716.1961 | 690.7282 | 666.0994 |
| -25 | 673.8314 | 650.2625 | 627.4551 |
| -24 | 634.2433 | 612.4261 | 591.3003 |
| -23 | 597.2332 | 577.0324 | 557.4592 |
| -22 | 562.6172 | 543.9088 | 525.7698 |
| -21 | 530.2261 | 512.8958 | 496.0823 |
| -20 | 499.9036 | 483.8463 | 468.2581 |
| -19 | 471.5050 | 456.6244 | 442.1691 |
| -18 | 444.8970 | 431.1039 | 417.6967 |
| -17 | 419.9558 | 407.1685 | 394.7311 |
| -16 | 396.5672 | 384.7103 | 373.1705 |
| -15 | 374.6255 | 363.6294 | 352.9209 |
| -14 | 354.0324 | 343.8333 | 333.8945 |
| -13 | 334.6974 | 325.2361 | 316.0106 |
| -12 | 316.5362 | 307.7581 | 299.1936 |
| -11 | 299.4706 | 291.3257 | 283.3739 |
| -10 | 283.4283 | 275.8701 | 268.4865 |
| -9 | 268.3421 | 261.3276 | 254.4710 |
| -8 | 254.1493 | 247.6390 | 241.2714 |
| -7 | 240.7921 | 234.7494 | 228.8354 |
| -6 | 228.2164 | 222.6075 | 217.1147 |
| -5 | 216.3721 | 211.1656 | 206.0639 |
| -4 | 205.2124 | 200.3796 | 195.6410 |
| -3 | 194.6941 | 190.2080 | 185.8067 |
| -2 | 184.7766 | 180.6125 | 176.5246 |
| -1 | 175.4222 | 171.5571 | 167.7605 |
| 0 | 166.5959 | 163.0086 | 159.4826 |
| 1 | 158.2648 | 154.9356 | 151.6612 |
| 2 | 150.3985 | 147.3091 | 144.2687 |
| 3 | 142.9684 | 140.1019 | 137.2791 |
| 4 | 135.9480 | 133.2887 | 130.6683 |
| 5 | 129.3125 | 126.8458 | 124.4137 |
| 6 | 123.0386 | 120.7510 | 118.4941 |
| 7 | 117.1047 | 114.9837 | 112.8898 |
| 8 | 111.4905 | 109.5245 | 107.5823 |
| 9 | 106.1771 | 104.3552 | 102.5543 |
| 10 | 101.1467 | 99.4589 | 97.7895 |
| 11 | 96.3828 | 94.8197 | 93.2727 |
| 12 | 91.8697 | 90.4228 | 88.9898 |
| 13 | 87.5931 | 86.2542 | 84.9273 |
| 14 | 83.5391 | 82.3008 | 81.0728 |
| 15 | 79.6952 | 78.5505 | 77.4145 |
| 16 | 76.0492 | 74.9916 | 73.9414 |
| 17 | 72.5899 | 71.6135 | 70.6431 |
| 18 | 69.3069 | 68.4060 | 67.5100 |
| 19 | 66.1902 | 65.3595 | 64.5328 |
| 20 | 63.2305 | 62.4653 | 61.7031 |
| 21 | 60.4191 | 59.7148 | 59.0128 |
| 22 | 57.7479 | 57.1002 | 56.4542 |
| 23 | 55.2090 | 54.6141 | 54.0203 |
| 24 | 52.7953 | 52.2496 | 51.7043 |
| 25 | 50.5000 | 50.0000 | 49.5000 |
| 26 | 48.3589 | 47.8592 | 47.3599 |
| 27 | 46.3200 | 45.8214 | 45.3236 |
| 28 | 44.3778 | 43.8811 | 43.3856 |
| 29 | 42.5272 | 42.0331 | 41.5406 |
| 30 | 40.7634 | 40.2726 | 39.7837 |
| 31 | 39.0821 | 38.5950 | 38.1103 |
| 32 | 37.4788 | 36.9961 | 36.5160 |
| 33 | 35.9496 | 35.4716 | 34.9966 |
| 34 | 34.4907 | 34.0179 | 33.5483 |
| 35 | 33.0985 | 32.6312 | 32.1673 |
| 36 | 31.7696 | 31.3081 | 30.8503 |
| 37 | 30.5009 | 30.0455 | 29.5939 |
| 38 | 29.2893 | 28.8402 | 28.3951 |
| 39 | 28.1320 | 27.6894 | 27.2510 |
| 40 | 27.0263 | 26.5903 | 26.1587 |
| 41 | 25.9697 | 25.5404 | 25.1157 |
| 42 | 24.9596 | 24.5372 | 24.1195 |
| 43 | 23.9939 | 23.5785 | 23.1679 |
| 44 | 23.0704 | 22.6620 | 22.2585 |
| 45 | 22.1871 | 21.7857 | 21.3894 |
| 46 | 21.3419 | 20.9476 | 20.5585 |
| 47 | 20.5332 | 20.1459 | 19.7640 |
| 48 | 19.7590 | 19.3788 | 19.0041 |
| 49 | 19.0179 | 18.6448 | 18.2771 |
| 50 | 18.3082 | 17.9421 | 17.5815 |
| 51 | 17.6284 | 17.2693 | 16.9158 |
| 52 | 16.9772 | 16.6251 | 16.2786 |
| 53 | 16.3532 | 16.0080 | 15.6684 |
| 54 | 15.7552 | 15.4167 | 15.0841 |
| 55 | 15.1819 | 14.8502 | 14.5243 |
| 56 | 14.6323 | 14.3072 | 13.9880 |
| 57 | 14.1051 | 13.7867 | 13.4741 |
| 58 | 13.5995 | 13.2876 | 12.9816 |
| 59 | 13.1145 | 12.8090 | 12.5094 |
| 60 | 12.6490 | 12.3498 | 12.0566 |
| 61 | 12.2022 | 11.9093 | 11.6223 |
| 62 | 11.7734 | 11.4866 | 11.2057 |
| 63 | 11.3616 | 11.0809 | 10.8060 |
| 64 | 10.9662 | 10.6914 | 10.4225 |
| 65 | 10.5864 | 10.3174 | 10.0543 |
| 66 | 10.2215 | 9.9583 | 9.7009 |
| 67 | 9.8709 | 9.6133 | 9.3615 |
| 68 | 9.5339 | 9.2819 | 9.0356 |
| 69 | 9.2100 | 8.9634 | 8.7226 |
| 70 | 8.8986 | 8.6573 | 8.4218 |
| 71 | 8.5992 | 8.3631 | 8.1328 |
| 72 | 8.3112 | 8.0802 | 7.8550 |
| 73 | 8.0341 | 7.8082 | 7.5879 |
| 74 | 7.7676 | 7.5466 | 7.3312 |
| 75 | 7.5111 | 7.2950 | 7.0843 |
| 76 | 7.2643 | 7.0528 | 6.8469 |
| 77 | 7.0266 | 6.8198 | 6.6185 |
| 78 | 6.7979 | 6.5956 | 6.3987 |
| 79 | 6.5776 | 6.3797 | 6.1872 |
| 80 | 6.3654 | 6.1719 | 5.9837 |
| 81 | 6.1610 | 5.9717 | 5.7877 |
| 82 | 5.9641 | 5.7790 | 5.5991 |
| 83 | 5.7743 | 5.5933 | 5.4174 |
| 84 | 5.5915 | 5.4144 | 5.2424 |
| 85 | 5.4152 | 5.2420 | 5.0739 |
| 86 | 5.2453 | 5.0759 | 4.9115 |
| 87 | 5.0814 | 4.9158 | 4.7550 |
| 88 | 4.9234 | 4.7614 | 4.6042 |
| 89 | 4.7710 | 4.6125 | 4.4588 |
| 90 | 4.6240 | 4.4689 | 4.3187 |
| 91 | 4.4821 | 4.3305 | 4.1836 |
| 92 | 4.3452 | 4.1969 | 4.0532 |
| 93 | 4.2131 | 4.0680 | 3.9276 |
| 94 | 4.0855 | 3.9436 | 3.8063 |
| 95 | 3.9624 | 3.8236 | 3.6893 |
| 96 | 3.8435 | 3.7078 | 3.5764 |
| 97 | 3.7287 | 3.5959 | 3.4675 |
| 98 | 3.6178 | 3.4879 | 3.3623 |
| 99 | 3.5107 | 3.3836 | 3.2607 |
| 100 | 3.4072 | 3.2828 | 3.1627 |
| 101 | 3.3072 | 3.1855 | 3.0680 |
| 102 | 3.2106 | 3.0915 | 2.9766 |
| 103 | 3.1171 | 3.0007 | 2.8882 |
| 104 | 3.0268 | 2.9129 | 2.8029 |
| 105 | 2.9395 | 2.8280 | 2.7204 |
| 106 | 2.8551 | 2.7460 | 2.6407 |
| 107 | 2.7734 | 2.6666 | 2.5637 |
| 108 | 2.6945 | 2.5900 | 2.4893 |
| 109 | 2.6181 | 2.5158 | 2.4173 |
| 110 | 2.5441 | 2.4440 | 2.3477 |
| 111 | 2.4726 | 2.3746 | 2.2803 |
| 112 | 2.4034 | 2.3075 | 2.2152 |
| 113 | 2.3364 | 2.2425 | 2.1523 |
| 114 | 2.2715 | 2.1797 | 2.0913 |
| 115 | 2.2087 | 2.1188 | 2.0324 |
| 116 | 2.1479 | 2.0599 | 1.9753 |
| 117 | 2.0891 | 2.0029 | 1.9201 |
| 118 | 2.0320 | 1.9477 | 1.8666 |
| 119 | 1.9768 | 1.8942 | 1.8149 |
| 120 | 1.9233 | 1.8424 | 1.7647 |
| 121 | 1.8714 | 1.7922 | 1.7162 |
| 122 | 1.8212 | 1.7436 | 1.6692 |
| 123 | 1.7725 | 1.6966 | 1.6237 |
| 124 | 1.7253 | 1.6509 | 1.5796 |
| 125 | 1.6795 | 1.6067 | 1.5369 |
| 126 | 1.6352 | 1.5639 | 1.4955 |
| 127 | 1.5922 | 1.5223 | 1.4554 |
| 128 | 1.5505 | 1.4820 | 1.4165 |
| 129 | 1.5100 | 1.4430 | 1.3788 |
| 130 | 1.4708 | 1.4051 | 1.3423 |
| 131 | 1.4327 | 1.3684 | 1.3068 |
| 132 | 1.3958 | 1.3328 | 1.2725 |
| 133 | 1.3600 | 1.2982 | 1.2392 |
| 134 | 1.3252 | 1.2647 | 1.2068 |
| 135 | 1.2914 | 1.2322 | 1.1755 |
| 136 | 1.2587 | 1.2006 | 1.1451 |
| 137 | 1.2269 | 1.1700 | 1.1156 |
| 138 | 1.1960 | 1.1402 | 1.0870 |
| 139 | 1.1660 | 1.1114 | 1.0592 |
| 140 | 1.1369 | 1.0834 | 1.0322 |
| 141 | 1.1087 | 1.0562 | 1.0060 |
| 142 | 1.0812 | 1.0297 | 0.9806 |
| 143 | 1.0545 | 1.0041 | 0.9559 |
| 144 | 1.0286 | 0.9792 | 0.9320 |
| 145 | 1.0034 | 0.9550 | 0.9087 |
| 146 | 0.9790 | 0.9314 | 0.8861 |
| 147 | 0.9552 | 0.9086 | 0.8642 |
| 148 | 0.9321 | 0.8864 | 0.8428 |
| 149 | 0.9096 | 0.8648 | 0.8221 |
| 150 | 0.8878 | 0.8439 | 0.8020 |
| 151 | 0.8666 | 0.8235 | 0.7824 |
| 152 | 0.8459 | 0.8037 | 0.7634 |
| 153 | 0.8259 | 0.7844 | 0.7450 |
| 154 | 0.8063 | 0.7657 | 0.7270 |
| 155 | 0.7874 | 0.7475 | 0.7095 |
| 156 | 0.7689 | 0.7298 | 0.6926 |
| 157 | 0.7509 | 0.7125 | 0.6761 |
| 158 | 0.7334 | 0.6958 | 0.6600 |
| 159 | 0.7164 | 0.6795 | 0.6444 |
| 160 | 0.6999 | 0.6636 | 0.6292 |
| 161 | 0.6838 | 0.6482 | 0.6144 |
| 162 | 0.6681 | 0.6332 | 0.6001 |
| 163 | 0.6528 | 0.6186 | 0.5861 |
| 164 | 0.6380 | 0.6044 | 0.5725 |
| 165 | 0.6235 | 0.5905 | 0.5593 |
| 166 | 0.6094 | 0.5771 | 0.5464 |
| 167 | 0.5957 | 0.5640 | 0.5338 |
| 168 | 0.5824 | 0.5512 | 0.5216 |
| 169 | 0.5694 | 0.5388 | 0.5097 |
| 170 | 0.5567 | 0.5267 | 0.4982 |
| 171 | 0.5444 | 0.5149 | 0.4869 |
| 172 | 0.5323 | 0.5034 | 0.4759 |
| 173 | 0.5206 | 0.4922 | 0.4653 |
| 174 | 0.5092 | 0.4813 | 0.4549 |
| 175 | 0.4981 | 0.4707 | 0.4447 |
| 176 | 0.4872 | 0.4603 | 0.4349 |
| 177 | 0.4767 | 0.4502 | 0.4252 |
| 178 | 0.4664 | 0.4404 | 0.4159 |
| 179 | 0.4563 | 0.4309 | 0.4067 |
| 180 | 0.4466 | 0.4215 | 0.3978 |
| 181 | 0.4370 | 0.4124 | 0.3892 |
| 182 | 0.4277 | 0.4036 | 0.3807 |
| 183 | 0.4186 | 0.3949 | 0.3725 |
| 184 | 0.4098 | 0.3865 | 0.3645 |
| 185 | 0.4012 | 0.3783 | 0.3566 |
| 186 | 0.3927 | 0.3702 | 0.3490 |
| 187 | 0.3845 | 0.3624 | 0.3416 |
| 188 | 0.3765 | 0.3548 | 0.3343 |
| 189 | 0.3687 | 0.3474 | 0.3272 |
| 190 | 0.3611 | 0.3401 | 0.3203 |
| 191 | 0.3536 | 0.3330 | 0.3136 |
| 192 | 0.3464 | 0.3261 | 0.3070 |
| 193 | 0.3393 | 0.3194 | 0.3006 |
| 194 | 0.3324 | 0.3128 | 0.2944 |
| 195 | 0.3256 | 0.3064 | 0.2883 |
| 196 | 0.3190 | 0.3001 | 0.2823 |
| 197 | 0.3126 | 0.2940 | 0.2765 |
| 198 | 0.3063 | 0.2880 | 0.2708 |
| 199 | 0.3002 | 0.2822 | 0.2653 |
| 200 | 0.2942 | 0.2765 | 0.2599 |
| 201 | 0.2883 | 0.2710 | 0.2546 |
| 202 | 0.2826 | 0.2655 | 0.2495 |
| 203 | 0.2770 | 0.2603 | 0.2445 |
| 204 | 0.2716 | 0.2551 | 0.2395 |
| 205 | 0.2663 | 0.2500 | 0.2348 |
| 206 | 0.2611 | 0.2451 | 0.2301 |
| 207 | 0.2560 | 0.2403 | 0.2255 |
| 208 | 0.2510 | 0.2356 | 0.2210 |
| 209 | 0.2462 | 0.2310 | 0.2167 |
| 210 | 0.2414 | 0.2265 | 0.2124 |
| 211 | 0.2368 | 0.2221 | 0.2083 |
| 212 | 0.2322 | 0.2178 | 0.2042 |
| 213 | 0.2278 | 0.2136 | 0.2002 |
| 214 | 0.2235 | 0.2095 | 0.1963 |
| 215 | 0.2193 | 0.2055 | 0.1925 |
| 216 | 0.2151 | 0.2016 | 0.1888 |
| 217 | 0.2111 | 0.1977 | 0.1852 |
| 218 | 0.2071 | 0.1940 | 0.1817 |
| 219 | 0.2032 | 0.1903 | 0.1782 |
| 220 | 0.1995 | 0.1867 | 0.1748 |
| 221 | 0.1958 | 0.1832 | 0.1715 |
| 222 | 0.1921 | 0.1798 | 0.1683 |
| 223 | 0.1886 | 0.1765 | 0.1651 |
| 224 | 0.1851 | 0.1732 | 0.1620 |
| 225 | 0.1817 | 0.1700 | 0.1590 |
| 226 | 0.1784 | 0.1669 | 0.1560 |
| 227 | 0.1752 | 0.1638 | 0.1532 |
| 228 | 0.1720 | 0.1608 | 0.1503 |
| 229 | 0.1689 | 0.1579 | 0.1476 |
| 230 | 0.1659 | 0.1550 | 0.1448 |
| 231 | 0.1629 | 0.1522 | 0.1422 |
| 232 | 0.1600 | 0.1495 | 0.1396 |
| 233 | 0.1571 | 0.1468 | 0.1371 |
| 234 | 0.1543 | 0.1441 | 0.1346 |
| 235 | 0.1516 | 0.1416 | 0.1322 |
| 236 | 0.1489 | 0.1390 | 0.1298 |
| 237 | 0.1463 | 0.1366 | 0.1275 |
| 238 | 0.1438 | 0.1342 | 0.1252 |
| 239 | 0.1413 | 0.1318 | 0.1229 |
| 240 | 0.1388 | 0.1295 | 0.1208 |
| 241 | 0.1364 | 0.1272 | 0.1186 |
| 242 | 0.1340 | 0.1250 | 0.1165 |
| 243 | 0.1317 | 0.1228 | 0.1145 |
| 244 | 0.1295 | 0.1207 | 0.1125 |
| 245 | 0.1272 | 0.1186 | 0.1105 |
| 246 | 0.1251 | 0.1166 | 0.1086 |
| 247 | 0.1229 | 0.1146 | 0.1067 |
| 248 | 0.1209 | 0.1126 | 0.1049 |
| 249 | 0.1188 | 0.1107 | 0.1031 |
| 250 | 0.1168 | 0.1088 | 0.1013 |
| 251 | 0.1149 | 0.1069 | 0.0996 |
| 252 | 0.1129 | 0.1051 | 0.0979 |
| 253 | 0.1111 | 0.1034 | 0.0962 |
| 254 | 0.1092 | 0.1016 | 0.0946 |
| 255 | 0.1074 | 0.0999 | 0.0930 |
| 256 | 0.1056 | 0.0983 | 0.0914 |
| 257 | 0.1039 | 0.0966 | 0.0899 |
| 258 | 0.1022 | 0.0950 | 0.0884 |
| 259 | 0.1005 | 0.0935 | 0.0869 |
| 260 | 0.0989 | 0.0919 | 0.0855 |
| 261 | 0.0973 | 0.0904 | 0.0840 |
| 262 | 0.0957 | 0.0890 | 0.0827 |
| 263 | 0.0942 | 0.0875 | 0.0813 |
| 264 | 0.0927 | 0.0861 | 0.0800 |
| 265 | 0.0912 | 0.0847 | 0.0787 |
| 266 | 0.0897 | 0.0833 | 0.0774 |
| 267 | 0.0883 | 0.0820 | 0.0761 |
| 268 | 0.0869 | 0.0807 | 0.0749 |
| 269 | 0.0855 | 0.0794 | 0.0737 |
| 270 | 0.0842 | 0.0781 | 0.0725 |
| 271 | 0.0828 | 0.0769 | 0.0713 |
| 272 | 0.0815 | 0.0757 | 0.0702 |
| 273 | 0.0803 | 0.0745 | 0.0691 |
| 274 | 0.0790 | 0.0733 | 0.0680 |
| 275 | 0.0778 | 0.0722 | 0.0669 |
| 276 | 0.0766 | 0.0710 | 0.0659 |
| 277 | 0.0754 | 0.0699 | 0.0648 |
| 278 | 0.0743 | 0.0688 | 0.0638 |
| 279 | 0.0731 | 0.0678 | 0.0628 |
| 280 | 0.0720 | 0.0667 | 0.0618 |
| 281 | 0.0709 | 0.0657 | 0.0609 |
| 282 | 0.0698 | 0.0647 | 0.0599 |
| 283 | 0.0688 | 0.0637 | 0.0590 |
| 284 | 0.0677 | 0.0627 | 0.0581 |
| 285 | 0.0667 | 0.0618 | 0.0572 |
| 286 | 0.0657 | 0.0609 | 0.0563 |
| 287 | 0.0647 | 0.0599 | 0.0555 |
| 288 | 0.0638 | 0.0590 | 0.0546 |
| 289 | 0.0628 | 0.0582 | 0.0538 |
| 290 | 0.0619 | 0.0573 | 0.0530 |
| 291 | 0.0610 | 0.0564 | 0.0522 |
| 292 | 0.0601 | 0.0556 | 0.0514 |
| 293 | 0.0592 | 0.0548 | 0.0507 |
| 294 | 0.0584 | 0.0540 | 0.0499 |
| 295 | 0.0575 | 0.0532 | 0.0492 |
| 296 | 0.0567 | 0.0524 | 0.0484 |
| 297 | 0.0559 | 0.0516 | 0.0477 |
| 298 | 0.0551 | 0.0509 | 0.0470 |
| 299 | 0.0543 | 0.0501 | 0.0463 |
| 300 | 0.0535 | 0.0494 | 0.0457 |
More product
Want to Know more details about this product