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Size | φ1.7 | φ1.8 | φ22 | φ2.5 | φ2.7 | φ2.8 | φ3.2 | φ3.7 | φ4.3 | φ5.3 | φ6.4 | φ7.4 | φ8.4 | φ10.5 | Φ13 | φ15 | |
M d |
For thrad dzm | M1.6 | M1.7 | M2 | M2.3 | M2.5 | M2.6 | M3 | M3.5 | M4 | M5 | M6 | M7 | M8 | M10 | M12 | M14 |
min=nominal sine | 1.7 | 1.8 | 2.2 | 2.5 | 2.7 | 2.8 | 3.2 | 3.7 | 4.3 | 5.3 | 6.4 | 7.4 | 8.4 | 10.5 | 13 | 15 | |
mK | 1.84 | 1.94 | 2.34 | 2.64 | 2.84 | 2.94 | 3.38 | 3.88 | 4.48 | 5.48 | 6.62 | 7.62 | 8.62 | 10.77 | 13.27 | 15.27 | |
N=nominal sdze | 4 | 4.5 | 5 | 6 | 6 | 7 | 7 | 8 | 9 | 10 | 12 | 14 | 16 | 20 | 24 | 28 | |
de | min | 3.70 | 4.20 | 4.70 | 5.70 | 5.70 | 6.64 | 6.64 | 7.64 | 8.64 | 9.64 | 11.57 | 13.57 | 15.57 | 19.48 | 23.48 | 27.48 |
Nominsl Sise | 0.3 | 0.3 | 0.3 | 0.5 | 0.5 | 0.5 | 0.5 | 0.5 | 0.8 | 1 | 1.6 | 1.6 | 1.6 | 2 | 2.5 | 2.5 | |
h p |
max | 0.35 | 0.35 | 0.35 | 0.55 | 0.55 | 0.55 | 0.55 | 0.55 | 0.9 | 1.1 | 1.8 | 1.8 | 1.8 | 2.2 | 2.7 | 2.7 |
min | 0.25 | 0.25 | 0.25 | 0.45 | 0.45 | 0.45 | 0.45 | 0.45 | 0.7 | 0.9 | 1.4 | 1.4 | 1.4 | 1.8 | 2.3 | 2.3 | |
r1000 uris=k | 0.024 | 0.031 | 0.037 | 0.092 | 0.088 | 0.127 | 0.119 | 0.155 | 0.308 | 0.443 | 1.02 | 1.39 | 183 | 3.57 | 6.27 | 8.62 | |
Size | φ17 | φ19 | φ21 | φ23 | φ25 | φ27 | φ28 | φ29 | φ31 | φ33 | φ34 | φ36 | φ37 | φ39 | φ40 | φ41 | |
M | For thread snm | M16 | M18 | M20 | M22 | M24 | M26 | M27 | M28 | M30 | M32 | M33 | M35 | M36 | M38 | M39 | M40 |
d | min=nominal stme | 17 | 19 | 21 | 23 | 25 | 27 | 28 | 29 | 31 | 33 | 34 | 36 | 37 | 39 | 40 | 41 |
max | 17.27 | 19.33 | 21.33 | 23.33 | 25.33 | 27.33 | 28.33 | 29.33 | 31.39 | 33.62 | 34.62 | 36.62 | 37.62 | 39.62 | 40.62 | 41.62 | |
mn=nerinalsize | 30 | 34 | 37 | 39 | 44 | 50 | 50 | 50 | 56 | 60 | 60 | 66 | 66 | 72 | 72 | 72 | |
de | min | 29.48 | 33.38 | 36.38 | 38.38 | 43.38 | 49.38 | 49.38 | 49.38 | 55.26 | 58.80 | 58.80 | 64.80 | 64.80 | 70.80 | 70.80 | 70.80 |
NomirulSine | 3 | 3 | 3 | 3 | 4 | 4 | 4 | 4 | 4 | 5 | 5 | 5 | 5 | 6 | 6 | 6 | |
h | max | 3.3 | 3.3 | 3.3 | 3.3 | 4.3 | 4.3 | 4.3 | 4.3 | 4.3 | 5.6 | 5.6 | 5.6 | 5.6 | 6.6 | 6.6 | 6.6 |
min | 2.7 | 2.7 | 2.7 | 2.7 | 3.7 | 3.7 | 3.7 | 3.7 | 3.7 | 4.4 | 4.4 | 4.4 | 4.4 | 5.4 | 5.4 | 5.4 | |
per 1000unisak | 11.3 | 14.7 | 17.2 | 18.3 | 32.3 | 43.7 | 42.3 | 40.9 | 53.6 | 77.4 | 75.3 | 94.3 | 92.1 | 136 | 133 | 130 | |
Size | φ43 | φ46 | φ50 | φ52 | φ54 | φ57 | φ58 | φ60 | φ62 | φ66 | φ70 | φ74 | φ78 | φ82 | φ87 | φ93 | |
M d de |
For thread sbe | M42 | M45 | M48 | M50 | M52 | M55 | M56 | M58 | M60 | M64 | M68 | M72 | M76 | M80 | M85 | M90 |
min=nomiolsize | 43 | 46 | 50 | 52 | 54 | 57 | 58 | 60 | 62 | 66 | 70 | 74 | 78 | 82 | 87 | 93 | |
ma | 43.62 | 46.62 | 50.62 | 52.74 | 54.74 | 57.74 | 58.74 | 60.74 | 62.74 | 66.74 | 70.74 | 74.74 | 78.74 | 82.87 | 87.87 | 93.87 | |
mX=n0mnal sbe | 78 | 85 | 92 | 92 | 98 | 105 | 105 | 110 | 110 | 115 | 120 | 125 | 135 | 140 | 145 | 160 | |
min | 76.80 | 83.60 | 90.60 | 90.60 | 96.60 | 103.60 | 103.60 | 108.60 | 108.60 | 113.60 | 118.60 | 123.40 | 133.40 | 138.40 | 143.40 | 158.40 | |
NominalSze | 7 | 7 | 8 | 8 | 8 | 9 | 9 | 9 | 9 | 9 | 10 | 10 | 10 | 12 | 12 | 12 | |
h | m | 8 | 8 | 9 | 9 | 9 | 10 | 10 | 10 | 10 | 10 | 11 | 11 | 11 | 13.2 | 13.2 | 13.2 |
min | 6 | 6 | 7 | 7 | 7 | 8 | 8 | 8 | 8 | 8 | 9 | 9 | 9 | 10.8 | 10.8 | 10.8 | |
er 1000 units kg | 183 | 220 | 294 | 284 | 330 | 431 | 425 | 472 | 458 | 492 | 586 | 626 | 749 | 953 | 996 | 1250 | |
Size | φ98 | φ104 | φ109 | φ114 | φ119 | φ124 | φ129 | φ134 | φ139 | Φ144 | φ149 | φ155 | φ165 | ||||
M | Forthread she | M95 | M100 | M105 | M110 | M115 | M120 | M125 | M130 | M135 | M140 | M145 | M150 | M160 | |||
d de |
min-reomiul size | 98 | 104 | 109 | 114 | 119 | 124 | 129 | 134 | 139 | 144 | 149 | 155 | 165 | |||
max-nomnaln | 98.87 | 104.87 | 109.87 | 114.87 | 119.87 | 125 | 130 | 135 | 140 | 145 | 150 | 156 | 166 | ||||
max-nomnaln | 165 | 175 | 180 | 185 | 200 | 210 | 220 | 220 | 230 | 240 | 250 | 250 | 250 | ||||
min | 163.40 | 173.40 | 178.40 | 183.15 | 198.15 | 208.15 | 218.15 | 218.15 | 228.15 | 238.15 | 248.15 | 248.15 | 248.15 | ||||
h | Nomingl Sze | 12 | 14 | 14 | 14 | 14 | 16 | 16 | 16 | 16 | 18 | 18 | 18 | 18 | |||
min | 13.2 | 15.2 | 15.2 | 15.2 | 15.2 | 17.2 | 17.2 | 17.2 | 17.2 | 19.2 | 19.2 | 19.2 | 19.2 | ||||
min | 10.8 | 12.8 | 12.8 | 12.8 | 12.8 | 14.8 | 14.8 | 14.8 | 14.8 | 16.8 | 16.8 | 16.8 | 16.8 | ||||
per 1000 units mk | 1300 | 1710 | 1770 | 1830 | 2230 | 2830 | 3130 | 3000 | 3310 | 4090 | 4470 | 4270 | 3910 |
Qingdao Xinquanxi Metal Products Co..Ltd.
Our sand foundry has a history of more than 30 years, casting backgroundintegrating research and development
production, sales and service,specializing in the production ofalloy steel castingsiron castings,etc.
We can provide various types of carbon steel castings,alloy steel castingsstainless steel castings, ferrous&non-ferrous, gray iron and ductile iron castings for mining.
Leading products are stainless steel castings,machine tool casting,svalve and pump castings, Automatic Chiken Feeding System Corner wheel,boat parts,heavy vehicle parts castings,engineering machinery castingsrail train parts, fire pipeline castingsand other general machinery parts castingsetc.
1.Are you a factory or a trading company?
We have our own foundry and forging factory. The forging plant has 4 production lines and a history of more than 20 years;Foundry has a history of more than 30 years.
2.How do you control your quality?
(1)Control during r&d at the beginning of production
(2)Production process control
(3)Dimensional control
(4)Tensile tests
(5)Quality inspection before delivery
3.Can we have our product markings on it?
Yes, we can add product markings according to your requirements.
4.How about packing?
Woven bag,carton,plywood pallet or by customer requirements.