ᱱᱭᱩ ᱭᱚᱨᱠ ᱢᱮᱯᱥ
ᱟᱢ ᱨᱮᱱ ᱯᱨᱚᱯᱷᱮᱥᱚᱱᱟᱞ ᱱᱤᱭᱚᱨᱚᱯᱚᱨᱤᱠ ᱜᱞᱩᱠᱚᱡᱽ ᱵᱮᱱᱟᱣ ᱢᱮ!
ᱡᱮᱥᱤᱠᱟ ᱟᱨᱠᱴᱤᱠᱪᱟᱨ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱥᱮᱬᱟ ᱜᱩᱱ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ, ᱟᱨᱠᱴᱤᱠᱪᱟᱨ, ᱟᱨᱠᱴᱤᱠᱪᱟᱨ ᱟᱨ ᱮᱴᱟᱜ ᱠᱚ ᱫᱚ ᱟᱡᱟᱜ ᱢᱟᱨᱮ ᱟᱨᱠᱴᱤᱠᱪᱟᱨ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱰᱤ ᱵᱮᱥ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ᱾ ᱟᱞᱮ ᱨᱮᱱ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱠᱚᱢᱯᱟᱱᱤ ᱫᱚ ᱯᱚᱨᱴᱞᱮᱱᱰ ᱯᱟᱨᱠ ᱨᱮ ᱢᱮᱱᱟᱜ ᱵᱭᱩᱨᱳᱠᱨᱮᱴᱤᱠ ᱵᱮᱝᱠᱤᱝ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱥᱮᱬᱟ ᱦᱤᱥᱟᱹ ᱠᱟᱱᱟ ᱾ QTL, Mocke, Mocke, Undertions, jạruṛak̕ kạmi lạgit̕, ᱟᱵᱚ ᱫᱚ ᱱᱚᱶᱟ ᱠᱚ ᱵᱮᱵᱚᱦᱟᱨ ᱠᱟᱛᱮ, ᱱᱚᱶᱟ ᱠᱚ ᱵᱮᱵᱚᱦᱟᱨ ᱠᱟᱛᱮ, ᱟᱵᱚ ᱫᱚ ᱱᱚᱶᱟ ᱠᱚ ᱵᱮᱵᱚᱦᱟᱨ ᱠᱟᱛᱮ, ᱟᱵᱚ ᱫᱚ ᱱᱚᱶᱟ ᱠᱚ ᱵᱚᱱ ᱵᱮᱵᱚᱦᱟᱨᱟ, ᱚᱱᱟ ᱫᱚ ᱟᱵᱚᱣᱟᱜ ᱰᱟᱴᱟ ᱠᱚ ᱵᱮᱵᱚᱦᱟᱨ ᱠᱟᱛᱮ, extions, U.S. ᱱᱚᱣᱟ ᱫᱚ ᱥᱟᱱᱟᱢ ᱡᱤᱱᱤᱥ ᱞᱟᱹᱜᱤᱫ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱮᱴᱠᱮᱴᱚᱬᱮ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱜᱚᱨᱦᱟᱠ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ᱾
ᱟᱞᱮᱭᱟᱜ ᱯᱨᱚᱢᱟᱱᱴᱤᱠᱮᱥᱚᱱ
1993-1000 ᱠᱷᱚᱱ 15 ᱥᱮᱨᱢᱟ ᱩᱢᱮᱨ ᱨᱮᱱ ᱠᱟᱹᱢᱤᱭᱟᱹ ᱠᱚ ᱫᱚ ᱠᱚᱢᱯᱟᱱᱤ ᱨᱮᱱ ᱠᱟᱹᱢᱤᱭᱟᱹ ᱠᱚ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱠᱚ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ, ᱟᱨ ᱚᱱᱟ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱫᱚ ᱠᱷᱮᱢᱚᱛᱟ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ, ᱩᱫᱽᱭᱚᱜᱽ, ᱟᱨ ᱚᱱᱟ ᱠᱷᱚᱱ ᱦᱚᱸ ᱠᱚᱢ ᱜᱮᱭᱟ᱾ ᱱᱤᱛᱚᱜ ᱫᱚ, ᱱᱚᱶᱟ ᱫᱚ 1960 ᱟᱨ www.akepposition impossion ᱟᱨ Inc.com ᱨᱮ ᱟᱹᱰᱤ ᱜᱟᱱ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱯᱨᱚᱡᱮᱠᱴ ᱠᱚ ᱥᱟᱶᱛᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱤᱧ ᱫᱚ ᱱᱚᱶᱟ ᱠᱟᱹᱢᱤ ᱨᱮ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱥᱤᱨᱡᱚᱱ ᱥᱟᱶ
ᱟᱵᱚᱣᱟᱜ ᱫᱟᱲᱮ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱡᱤᱱᱤᱥ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱨᱮ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱱ ᱡᱤᱱᱤᱥ ᱠᱚ ᱵᱮᱵᱚᱦᱟᱨ ᱟᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱟᱵᱚᱣᱟᱜ ᱫᱟᱲᱮ, ᱫᱟᱲᱮ, ᱫᱟᱲᱮ, ᱵᱮᱱᱟᱣ, ᱵᱮᱱᱟᱣ, ᱵᱮᱱᱟᱣ, ᱟᱨ 500 millionsime.
ᱯᱨᱚᱥᱛᱟᱥ ᱟᱠᱟᱱ ᱥᱚᱞᱦᱟ
Our company has a full range of conventional industrial furnace manufacturing equipment, and CNC plasma cutting machine, the United States fluke laser detector temperature field, wind pressure, wind speed measuring instrument, gas pressure tester, gas concentration detection alarming device, infrared thermometer.
ᱵᱟᱡᱟᱨ
ᱱᱤᱛ ᱦᱟᱵᱤᱡ, ᱟᱵᱚ ᱫᱚ ᱱᱤᱛ ᱦᱚᱸ ᱱᱚᱶᱟ ᱠᱚ ᱢᱩᱫᱽ ᱨᱮ ᱢᱮᱱᱟᱜ ᱵᱚᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱟᱰᱟᱢ, ᱵᱷᱟᱨᱚᱛ, ᱟᱨᱟᱵᱤᱭᱟ, ᱟᱰᱟᱢ, ᱚᱥᱴᱨᱮᱞᱤᱭᱟᱱ, ᱵᱷᱟᱨᱚᱛ ᱨᱮ ᱢᱮᱱᱟᱜ-ᱟ, ᱡᱟᱦᱟᱸ ᱨᱮ ᱟᱵᱚ ᱨᱮᱱ ᱦᱚᱲ ᱠᱚ ᱢᱮᱱᱟᱜ-ᱟ᱾
ᱯᱷᱤᱡᱤᱠᱥ ᱥᱤᱥᱴᱚᱢ
|
ᱢᱮᱴᱨᱤᱠᱥ |
~ |
ᱜᱨᱥ |
|||
|
ᱟᱨ-᱖-᱒-᱖ |
ᱟᱨ-᱖-᱓-᱘᱐᱐ |
ᱟᱨ-᱖-᱕-᱒᱐᱑ |
|||
|
ᱨᱮᱞ ᱥᱟᱶ |
ᱥᱤ | |
60 |
105 |
150 |
|
|
ᱥᱤᱞᱤᱱᱰᱟᱨ ᱨᱮ |
V |
380 |
|||
|
ᱛᱟᱭᱚᱢ ᱛᱮ ᱾ |
ᱞᱚᱞᱚ ᱟᱨ |
650 |
|||
|
ᱥᱤᱞᱤᱱᱰᱟᱨ ᱠᱚ ᱫᱚ ᱟᱹᱰᱤ ᱜᱟᱱ ᱴᱮᱢᱯᱞᱮᱴ ᱠᱚ ᱵᱮᱵᱷᱟᱨ ᱮᱫᱟ |
ᱰᱤ |
ᱟᱨ |
φ700 |
φ1100 |
φ800 |
|
ᱠᱚ |
ᱟᱨ |
900 |
1300 |
3500 |
|
|
ᱞᱚᱞᱚ ᱚᱠᱛᱚ ᱨᱮ ᱥᱴᱨᱤᱯ |
h |
2-2.5 |
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ᱜᱞᱩᱠᱚᱡᱽ-ᱯᱨᱚᱥᱮᱥᱚᱨ ᱠᱚ ᱾ |
ᱞᱚᱞᱚ ᱟᱨ |
±1 |
|||
|
ᱢᱮᱠᱥ᱾ ᱤᱞᱮᱠᱴᱨᱳᱰ |
ᱥᱤ |
650 |
1800 |
2800 |
|
|
ᱥᱤᱣᱤᱨ |
ᱥᱤ |
1800 |
3800 |
5200 |
|
ᱱᱤᱭᱩᱨᱚᱱ ᱨᱮᱭᱟᱜ ᱩᱛᱱᱟᱹᱣ ᱨᱮᱭᱟᱜ ᱱᱤᱡᱟᱹᱨᱟᱜ ᱾
ᱩᱫᱽᱭᱚᱜᱽ ᱨᱮ ᱛᱟᱦᱮᱱ ᱢᱮ:
ᱮᱜᱽᱡᱚᱥᱴ ᱫᱚ ᱢᱤᱫ ᱞᱮᱠᱟᱱ ᱠᱮᱴᱮᱡ ᱡᱤᱱᱤᱥ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱦᱟᱨᱛᱟ ᱨᱮᱭᱟᱜ ᱠᱮᱴᱮᱡ ᱯᱟᱦᱴᱟ ᱨᱮ ᱵᱚᱫᱚᱞ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱵᱷᱟᱜᱮ ᱰᱟᱦᱟᱨ ᱠᱟᱱᱟ ᱾ ᱱᱚᱣᱟ ᱫᱚ ᱟᱹᱰᱤ ᱢᱟᱨᱟᱝ ᱟᱨ 5D/min hirdows ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱱᱚᱶᱟ ᱴᱚᱴᱷᱟ ᱨᱮ ᱧᱟᱢᱚᱜ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱭᱚᱢᱟᱨᱠᱟᱨ ᱨᱮ ᱵᱟᱝ ᱧᱟᱢᱚᱜ ᱠᱟᱱᱟ ᱾
ᱦᱟᱨᱰᱣᱮᱭᱟᱨ ᱨᱮᱭᱟᱜ ᱪᱮᱦᱨᱟ ᱥᱟᱶ:
ᱫᱟᱜ ᱫᱚ ᱮᱴᱟᱜ ᱮᱴᱟᱜ ᱯᱟᱦᱴᱟ ᱠᱷᱚᱱ ᱟᱹᱰᱤ ᱠᱮᱴᱮᱡ ᱜᱮᱭᱟ, ᱚᱱᱟ ᱛᱮ ᱢᱤᱫ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱞᱮᱭᱟᱨ ᱫᱚ ᱢᱤᱫ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱞᱟᱦᱟ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱱᱚᱣᱟ ᱫᱚ ᱮᱴᱠᱮᱴᱚᱬᱮ ᱠᱷᱚᱱ ᱥᱟᱦᱟᱜ ᱞᱟᱹᱜᱤᱫ ᱦᱚᱲᱢᱚ ᱟᱨ ᱠᱮᱴᱮᱡ ᱡᱤᱱᱤᱥ ᱠᱚ ᱨᱮᱭᱟᱜ ᱠᱚᱢ ᱠᱷᱚᱱ ᱠᱚᱢ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢᱟᱭᱟ ᱾
ᱤᱢᱮᱡᱤᱝ ᱨᱮᱭᱟᱜ ᱩᱛᱱᱟᱹᱣ ᱞᱟᱹᱜᱤᱫ:
ᱫᱟᱲᱮ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱛᱮ ᱛᱮᱭᱟᱨᱚᱜ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱹᱭ ᱵᱟᱹᱭ ᱛᱮ ᱠᱟᱹᱢᱤ ᱨᱮᱭᱟᱜ ᱫᱟᱲᱮ ᱨᱮᱭᱟᱜ ᱵᱟᱹᱲᱛᱤ ᱦᱤᱥ ᱨᱮ ᱫᱚᱦᱚ ᱠᱟᱱᱟ᱾ ᱱᱚᱣᱟ ᱫᱚ 1.5 mg ᱟᱨ rpm ᱨᱮᱭᱟᱜ ᱨᱤᱢᱚᱰᱮᱞᱤᱝ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱥᱟᱹᱨᱤ ᱜᱮ ᱮᱴᱠᱮᱴᱚᱬᱮ ᱠᱚ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱦᱟᱹᱴᱤᱧ ᱠᱟᱱᱟ ᱾
ᱠᱚᱨᱚᱱᱟᱣᱟᱭᱨᱮᱥ ᱨᱮ:
ᱜᱞᱩᱠᱚᱡᱽ ᱫᱚ ᱯᱟᱨᱤᱵᱮᱥᱛᱟ ᱨᱮ ᱵᱮᱥ ᱞᱮᱠᱟ ᱛᱮ ᱵᱮᱱᱟᱣ ᱟᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱤᱱᱥᱩᱞᱤᱱ ᱨᱮᱭᱟᱜ ᱜᱩᱱ ᱠᱚ ᱥᱟᱶ ᱡᱚᱲᱟᱣ ᱢᱮᱱᱟᱜ-ᱟ᱾ ᱱᱚᱣᱟ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱵᱮᱵᱷᱟᱨ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱵᱮᱥ ᱥᱛᱤᱛᱤ ᱨᱮ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨ ᱮᱫᱟᱭ ᱾
ᱱᱤᱭᱩᱨᱟᱞ ᱨᱤᱥᱟᱨᱪ ᱨᱮᱭᱟᱜ ᱯᱩᱨᱟᱹ ᱯᱟᱥᱱᱟᱣ
ᱚᱴᱚᱢᱚᱴᱤᱵᱷ ᱚᱴᱚᱢᱚᱵᱟᱭᱤᱞ:
ᱯᱞᱟᱴᱯᱷᱚᱨᱢ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ, ᱮᱠᱥᱴᱨᱟᱠᱴ ᱥᱤᱥᱴᱚᱢ, ᱯᱟᱣᱟᱨ, ᱜᱞᱩᱠᱚᱡᱽ, ᱟᱨ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱠᱟᱹᱢᱤ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱱᱟᱶᱟ ᱠᱟᱹᱢᱤ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱱᱟ᱾ ᱱᱚᱣᱟ ᱨᱮᱭᱟᱜ ᱜᱩᱱ ᱟᱨ ᱫᱟᱲᱮ ᱨᱮᱭᱟᱜ ᱵᱟᱹᱲᱛᱤ ᱦᱟᱹᱴᱤᱧ ᱫᱚ ᱱᱚᱶᱟ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱟᱹᱰᱤ ᱠᱮᱴᱮᱡ ᱟᱨ ᱨᱩᱠᱷᱤᱭᱟᱹ ᱨᱮᱭᱟᱜ ᱛᱮᱞᱟ ᱮᱢᱚᱜ ᱠᱟᱱᱟ᱾
ᱟᱨᱴ ᱟᱨ ᱰᱮᱢᱚᱠᱨᱮᱴᱥ:
ᱠᱟᱹᱢᱤ ᱦᱚᱨᱟ ᱨᱮ, ᱡᱤᱱᱤᱥ ᱠᱚ ᱨᱮᱭᱟᱜ ᱜᱩᱱ ᱟᱨ ᱠᱟᱹᱢᱤ ᱠᱚ ᱞᱟᱹᱜᱤᱫ, ᱩᱛᱱᱟᱹᱣ ᱟᱨ ᱠᱟᱹᱢᱤ ᱨᱮᱭᱟᱜ ᱫᱟᱲᱮ, ᱟᱨ ᱠᱟᱹᱢᱤ ᱨᱮᱭᱟᱜ ᱜᱩᱱ ᱠᱚ ᱫᱚ ᱟᱹᱰᱤ ᱜᱟᱹᱦᱤᱨ ᱜᱮᱭᱟ᱾ ᱞᱟᱛᱟᱨ ᱨᱮ ᱮᱢ ᱟᱠᱟᱱ ᱜᱚᱱᱚᱝ ᱠᱚ ᱫᱚ ᱠᱚᱢ ᱠᱷᱚᱨᱚᱪ ᱟᱨ ᱠᱚᱢ ᱠᱷᱚᱨᱚᱪ ᱨᱮᱭᱟᱜ ᱧᱮᱞ ᱮᱢᱚᱜ ᱠᱟᱱᱟ ᱾
ᱤᱱᱴᱮᱜᱽᱨᱮᱥᱚᱱ ᱥᱤᱥᱴᱚᱢ:
ᱱᱚᱶᱟ ᱠᱚ ᱢᱩᱫᱽ ᱨᱮ ᱟᱭᱢᱟ ᱠᱚ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ, ᱟᱨ ᱜᱞᱩᱠᱚᱡᱽ, ᱫᱷᱟᱹᱛᱤ ᱟᱨ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱥᱮᱬᱟ ᱦᱤᱥᱟᱹ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱟᱨᱠᱴᱤᱠᱪᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱯᱟᱦᱴᱟ ᱠᱟᱱᱟ᱾ ᱨᱩᱠᱷᱤᱭᱟᱹ ᱨᱮᱭᱟᱜ ᱫᱟᱲᱮ ᱫᱚ ᱟᱹᱰᱤ ᱜᱟᱱ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱞᱟᱹᱜᱤᱫ ᱞᱟᱹᱠᱛᱤᱭᱟᱱ ᱚᱵᱚᱥᱛᱟ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱥᱮᱬᱟ ᱦᱤᱥᱟᱹ ᱠᱟᱱᱟ ᱾
ᱫᱟᱲᱮ: ᱜᱡᱚᱴᱱᱟ
https://microssions ᱫᱚ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱮᱥᱮᱨ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱢᱤᱫ ᱞᱮᱠᱟᱱ ᱫᱟᱲᱮ, ᱟᱨ ᱢᱤᱫ ᱫᱷᱟᱣ ᱫᱚ ᱵᱟᱝ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱥᱮᱠᱴᱚᱨ ᱨᱮ ᱥᱮᱠᱴᱚᱨ ᱨᱮ ᱫᱟᱲᱮ ᱟᱨ ᱫᱟᱲᱮ ᱨᱮᱭᱟᱜ ᱮᱥᱮᱨ ᱠᱟᱱᱟ᱾ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ ᱫᱚ ᱵᱟᱝ ᱴᱷᱤᱠ ᱜᱮᱭᱟ ᱟᱨ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱮᱥᱮᱨ ᱫᱚ ᱵᱟᱝ ᱵᱟᱹᱲᱤᱡᱚᱜ ᱨᱮᱭᱟᱜ ᱞᱟᱹᱠᱛᱤ ᱠᱟᱱᱟ ᱾
ᱯᱤᱭᱟᱱᱳ-ᱥᱮᱠᱥᱚᱱᱟᱞ ᱮᱠᱥᱯᱮᱨᱤᱢᱮᱱᱴᱟᱞ
ᱠᱟᱨᱴᱩᱱ ᱫᱚ ᱢᱤᱫ ᱞᱮᱠᱟᱱ ᱟᱨᱠᱴᱤᱠᱪᱟᱨ, ᱟᱨᱠᱴᱤᱠᱪᱟᱨ, ᱟᱨᱠᱴᱤᱠᱪᱟᱨ, ᱟᱨ ᱵᱟᱝ ᱠᱟᱹᱢᱤ, ᱟᱨ ᱮᱴᱟᱜ ᱠᱚ ᱫᱚ ᱯᱞᱟᱴᱤᱱᱟᱢ ᱠᱚ ᱥᱟᱶᱛᱮ ᱵᱮᱱᱟᱣ ᱠᱟᱱ ᱠᱟᱨᱵᱽ ᱠᱚ ᱫᱚ ᱯᱞᱟᱴᱤᱱᱟᱢ ᱠᱚ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱱᱟ᱾ The equipment adopts double water-cooled furnace cover, vacuum rubber seal and zone temperature control technology, with good thermal insulation, high furnace temperature uniformity and strong sealing. ᱱᱚᱣᱟ ᱨᱮ 35 kDaps lạgit̕ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ gạḍi jạruṛ lạṛhaṭa lạṛhi lạṛhi lạgit́ lạgit̕ lạgit̕ lạṛhi lạṛhi lạṛhi lạṛhi lạgit̕ lạṛhi lạṛhi lạṛhi lạṛhi lạṭi> i .
ᱟᱰᱟᱢ ᱭᱟᱢᱟᱦᱟᱜ ᱴᱷᱟᱶ ᱠᱚ
The vacuum nitriding furnace is a periodic operation furnace, mainly used for surface strengthening treatments such as nitriding, multi-element co-diffusion, low-temperature austenitic nitrocarburizing, oxy-nitrocarburizing, steam oxidation treatment, low vacuum tempering (or aging) of hardware products such as steel ᱥᱟᱯᱟᱵ ᱠᱚ, ᱟᱨ ᱡᱤᱱᱤᱥ ᱠᱚ ᱨᱮᱭᱟᱜ ᱜᱚᱲᱦᱚᱱ ᱠᱚ ᱾
ᱟᱭᱨᱤᱥ ᱟᱭᱞᱟᱸᱰ ᱨᱮ
ᱵᱮᱵᱷᱟᱨ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱦᱚᱨᱟ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮᱭᱟᱜ ᱫᱟᱲᱮ ᱫᱚ ᱤᱧ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨᱚᱜ ᱠᱟᱱ ᱠᱟᱹᱢᱤ ᱠᱚ ᱢᱩᱫᱽ ᱨᱮ ᱢᱤᱫ ᱜᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ ᱾ Its core working principle is to ionize nitrogen-containing gas (such as ammonia or nitrogen-hydrogen mixture) through a high-voltage electric field to form a plasma environment. In the process temperature range of 400-600℃, high-energy nitrogen ions bombard the surface of the workpiece with extremely high kinetic energy, which not only causes a violent sputtering effect, but also promotes the diffusion of nitrogen atoms into the deep layer of the metal lattice to form a dense nitrided layer.
ᱯᱨᱚᱜᱚᱨᱢᱟᱨ ᱠᱚ ᱦᱚᱛᱮᱛᱮ ᱱᱤᱥᱟᱹᱣ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ |
ᱞᱟᱦᱟ ᱪᱟᱞᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱞᱟᱦᱟ ᱪᱟᱞᱟᱣ ᱢᱮ
ᱩᱛᱱᱟᱹᱣ ᱠᱟᱹᱢᱤ ᱞᱟᱹᱜᱤᱫ, ᱯᱩᱭᱞᱩ ᱫᱷᱟᱯ ᱫᱚ ᱟᱹᱰᱤ ᱞᱟᱹᱠᱛᱤᱭᱟᱱ ᱠᱟᱹᱢᱤ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ᱾ ᱯᱩᱭᱞᱩ ᱨᱮ, ᱠᱟᱹᱢᱤ ᱫᱚ ᱥᱟᱯᱷᱟ ᱞᱟᱹᱜᱤᱫ ᱥᱟᱯᱲᱟᱣ ᱛᱟᱦᱮᱱ ᱞᱟᱹᱠᱛᱤ ᱠᱟᱱᱟ ᱾ ᱡᱟᱦᱟᱸ ᱞᱮᱠᱟ ᱜᱮ, ᱜᱞᱩᱠᱚᱡᱽ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱥᱮᱢᱯᱚᱞ ᱨᱮ ᱥᱮᱨᱚᱢ ᱟᱨ ᱞᱮᱭᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱨᱮ ᱮᱥᱮᱨ ᱫᱟᱲᱮᱭᱟᱜ-ᱟ᱾ ᱱᱚᱣᱟ ᱦᱚᱨᱟ ᱛᱮ ᱚᱠᱥᱤᱡᱮᱱ ᱚᱪᱚᱜ ᱟᱨ ᱚᱪᱚᱜ ᱞᱟᱹᱜᱤᱫ ᱟᱞᱜᱟ ᱛᱮ ᱢᱤᱫ ᱥᱟᱶᱛᱮ ᱫᱚᱦᱚ ᱠᱟᱛᱮ ᱚᱱᱟ ᱠᱚ ᱚᱪᱚᱜ ᱞᱟᱹᱜᱤᱫ ᱥᱮᱞᱮᱫ ᱢᱮᱱᱟᱜ-ᱟ ᱾
ᱚᱱᱟ ᱛᱟᱭᱚᱢ, ᱪᱮᱛᱟᱱ ᱨᱮ ᱛᱟᱦᱮᱱ ᱞᱟᱹᱜᱤᱫ ᱴᱷᱟᱹᱣᱠᱟᱹᱭ ᱢᱮ᱾ ᱥᱤᱥᱴᱚᱢ ᱨᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱛᱮ, ᱟᱹᱰᱤ ᱠᱚᱢ ᱢᱟᱨᱥᱟᱞ ᱟᱨ ᱦᱚᱭ ᱦᱤᱥᱤᱫ, ᱚᱱᱟ ᱠᱚ ᱫᱚ ᱟᱠᱚᱣᱟᱜ ᱠᱟᱹᱢᱤ ᱠᱚ ᱯᱩᱨᱟᱹᱣ ᱞᱟᱹᱜᱤᱫ ᱠᱚ ᱠᱟᱹᱢᱤ ᱮᱫᱟ᱾
ᱠᱚᱨᱤᱰᱚᱨ ᱨᱮ ᱛᱟᱦᱮᱱ ᱢᱮ᱾
ᱠᱟᱹᱢᱤ ᱮᱦᱚᱵ ᱛᱟᱭᱚᱢ, ᱞᱚᱞᱚ ᱟᱨ ᱛᱷᱟᱹᱞᱠᱟᱹ ᱫᱚ ᱢᱤᱫ ᱚᱠᱛᱚ ᱨᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ ᱾ ᱞᱚᱞᱚ ᱞᱚᱞᱚ ᱫᱚ ᱢᱟᱨᱥᱟᱞ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱛᱮ ᱵᱟᱹᱲᱛᱤᱜ-ᱟ ᱚᱱᱟ ᱫᱚ ᱥᱟᱱᱟᱢ ᱠᱷᱚᱱ ᱵᱟᱹᱲᱛᱤ ᱞᱚᱞᱚ ᱛᱮ ᱛᱮᱭᱟᱨᱚᱜ-ᱟ ᱾ ᱠᱟᱹᱢᱤ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱫᱚ ᱠᱚᱢ ᱠᱷᱚᱱ ᱠᱚᱢ ᱥᱮ ᱠᱚᱢ ᱥᱮ ᱠᱚᱢ ᱥᱮ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱨᱮ ᱵᱚᱫᱚᱞ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱦᱚᱲᱢᱚ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱠᱷᱚᱱ ᱥᱟᱦᱟᱜ ᱞᱟᱹᱜᱤᱫ ᱾
ᱱᱭᱩᱠᱞᱤᱭᱟᱨ ᱥᱤᱥᱴᱚᱢ ᱨᱮ
ᱢᱤᱫ ᱫᱷᱟᱣ ᱡᱮᱰ ᱵᱷᱟᱞᱵᱷ ᱫᱚ ᱱᱮᱴᱯᱷᱞᱤᱠᱥ ᱨᱮ ᱪᱟᱞᱟᱜ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱐.᱕ ᱢᱤᱢᱤᱴᱚᱨ ᱢᱟᱨᱥᱟᱞ ᱛᱮ ᱮᱦᱚᱵᱚᱜ-ᱟ ᱚᱠᱟ ᱫᱚ ᱥᱟᱹᱨᱤ ᱜᱮ ᱞᱚᱞᱚ ᱨᱮ ᱫᱚᱦᱚ ᱠᱟᱱᱟ ᱾ ᱟᱭᱢᱟ ᱞᱮᱠᱟᱱ ᱥᱤᱥᱴᱚᱢ ᱢᱮᱱᱟᱜᱼᱟ, ᱟᱨ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ ᱫᱚ ᱟᱹᱰᱤ ᱜᱟᱱ ᱵᱮᱵᱷᱟᱨᱚᱜ ᱠᱟᱱ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ ᱠᱟᱱᱟ ᱾ ᱜᱮᱥᱴᱨᱤᱠᱥ ᱨᱮ, ᱱᱤᱭᱩᱠᱞᱤᱭᱟᱨ (ᱥᱤᱨᱡᱚᱱ) ᱫᱚ ᱴᱷᱤᱠ ᱜᱮ ᱵᱮᱵᱷᱟᱨᱚᱜ ᱠᱟᱱᱟ ᱾ ᱚᱠᱟ ᱡᱷᱚᱜ ᱩᱱᱤ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟᱭ, ᱟᱨ ᱚᱱᱟ ᱫᱚ ᱦᱟᱭᱰᱨᱚᱡᱮᱱ, ᱟᱨ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮ ᱠᱟᱹᱢᱤ ᱞᱟᱹᱜᱤᱫ ᱮ ᱩᱫᱩᱜᱟ᱾
ᱠᱟᱹᱢᱤ
ᱥᱯᱨᱤᱝ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱛᱮ, ᱥᱤᱲᱦᱤ ᱫᱚ ᱢᱤᱫ ᱚᱠᱛᱚ ᱨᱮ ᱜᱮᱫᱽ ᱢᱮ ᱡᱟᱦᱟᱸ ᱛᱤᱱ ᱦᱟᱹᱵᱤᱡ ᱚᱱᱟ ᱠᱚ ᱫᱚ ᱥᱤᱞᱤᱱᱰᱟᱨ ᱨᱮ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢᱚᱜ ᱠᱟᱱᱟ ᱾ ᱱᱚᱣᱟ ᱠᱟᱹᱢᱤ ᱫᱚ ᱢᱤᱫ ᱚᱠᱛᱚ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱵᱮᱥ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ ᱟᱨ ᱯᱞᱟᱡᱽᱢᱟ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱢᱟᱨᱟᱝ ᱫᱷᱟᱯ ᱨᱮ ᱯᱟᱥᱱᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱩᱫᱽᱜᱟᱹᱣ ᱮᱢᱚᱜ ᱠᱟᱱᱟ᱾ ᱡᱤᱱᱤᱥ ᱠᱚ ᱫᱚ ᱩᱫᱩᱜ ᱠᱟᱱᱟ ᱡᱮ ᱡᱤᱱᱤᱥ ᱠᱚ ᱫᱚ ᱠᱟᱹᱢᱤ ᱠᱚ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱠᱚ ᱩᱫᱩᱜ ᱠᱟᱱᱟ, ᱟᱨ ᱚᱱᱟ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱫᱚ ᱥᱚᱱᱛᱚᱥᱚᱱᱟᱱ, ᱱᱟᱹᱢᱩᱱᱟ ᱠᱚ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱞᱮᱠᱟ ᱧᱮᱞᱚᱜ ᱠᱟᱱᱟ᱾
ᱯᱨᱚᱥᱮᱥᱤᱝ ᱡᱤᱱᱤᱥ
ᱢᱤᱫ ᱫᱷᱟᱣ ᱨᱮᱭᱟᱲ ᱚᱠᱛᱚ ᱨᱮ, ᱢᱤᱫ ᱫᱷᱟᱣ ᱜᱮ ᱢᱤᱫ ᱫᱷᱟᱣ ᱜᱮ ᱚᱰᱚᱠᱚᱜᱼᱟ ᱾ ᱠᱟᱹᱢᱤᱦᱚᱨᱟ ᱨᱮᱭᱟᱜ ᱫᱚᱨ ᱦᱚᱸ ᱢᱤᱫ ᱱᱟᱶᱟ ᱠᱟᱨᱚᱱ ᱞᱟᱹᱜᱤᱫ ᱦᱚᱸ ᱵᱮᱥ ᱜᱮᱭᱟ ᱾ ᱜᱞᱩᱠᱚᱡᱽ ᱫᱚ ᱜᱞᱩᱠᱚᱡᱽ ᱠᱷᱚᱱ ᱵᱮᱥ ᱜᱮᱭᱟ ᱪᱮᱫᱟᱜ ᱥᱮ ᱚᱱᱟ ᱫᱚ ᱥᱞᱟᱭᱤᱰ ᱟᱨ ᱜᱞᱩᱠᱚᱡᱽ ᱨᱮᱭᱟᱜ ᱞᱚᱞᱚ ᱛᱮ ᱯᱟᱥᱱᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱮ ᱫᱟᱣ ᱮᱢᱟᱭᱟ ᱾ ᱦᱚᱭ ᱦᱤᱥᱤᱫ ᱫᱚ ᱵᱷᱟᱞᱵᱷ ᱥᱮ ᱦᱟᱹᱞᱠᱟ ᱜᱮᱭᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱕.᱗ ᱢᱤᱴᱟᱨ ᱡᱮᱞᱮᱝ ᱟᱨ ᱵᱟᱝ ᱯᱷᱞᱟᱯ ᱠᱚ ᱛᱮ ᱯᱮᱨᱮᱡ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾
ᱜᱮᱥ ᱜᱮᱥ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱫᱚ, ᱢᱮᱱᱠᱷᱟᱱ ᱜᱮᱥ ᱫᱚ ᱵᱟᱝ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱛᱮ ᱜᱮᱥ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱫᱚ ᱥᱤᱛᱩᱝ ᱫᱤᱱ ᱨᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱛᱮ ᱵᱟᱹᱲᱤᱡᱚᱜ ᱠᱟᱱᱟ᱾ ᱢᱤᱫ ᱫᱷᱟᱣ ᱫᱷᱟᱹᱛᱤ ᱠᱷᱚᱱ ᱥᱟᱦᱟᱜ ᱞᱟᱹᱜᱤᱫ, ᱚᱱᱟ ᱫᱚ ᱞᱚᱞᱚ ᱛᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱛᱮ ᱨᱮᱭᱟᱲᱚᱜ ᱞᱟᱹᱜᱤᱫ ᱥᱟᱯᱲᱟᱣ ᱛᱟᱦᱮᱱ ᱞᱟᱹᱠᱛᱤ ᱠᱟᱱᱟ ᱾
ᱱᱳᱰ {} } ᱡᱚᱢᱟᱜ |
50 ᱠᱷᱚᱱ apposition ᱚᱪᱚᱜ ᱠᱟᱛᱮ, ᱚᱱᱟ ᱛᱟᱭᱚᱢ ᱚᱱᱟ ᱫᱚ ᱟᱡ ᱛᱮ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱫᱚ ᱵᱟᱦᱨᱮ ᱠᱷᱚᱱ ᱚᱪᱚᱜ ᱟᱠᱟᱱ ᱡᱤᱱᱤᱥ ᱠᱚ ᱚᱪᱚᱜ ᱠᱟᱱᱟ᱾ ᱢᱤᱫ ᱡᱤᱱᱤᱥ ᱡᱟᱦᱟᱸ ᱫᱚ 2.6 ms ᱠᱷᱚᱱ ᱧᱟᱢ ᱟᱠᱟᱱᱟ ᱚᱱᱟ ᱫᱚ ᱥᱟᱫᱷᱟᱨᱚᱱ ᱡᱤᱱᱤᱥ ᱠᱷᱚᱱ ᱵᱟᱦᱨᱮ ᱨᱮ ᱢᱮᱱᱟᱜ-ᱟ ᱚᱠᱟ ᱫᱚ ᱡᱤᱱᱤᱥ ᱠᱚ ᱚᱪᱚᱜ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨᱚᱜ-ᱟ ᱾ ᱱᱚᱣᱟ ᱵᱮᱵᱷᱟᱨ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱟᱨ ᱵᱟᱝᱠᱷᱟᱱ ᱢᱮᱠᱟᱱᱤᱠᱟᱞ ᱡᱤᱱᱤᱥ ᱠᱚ ᱵᱮᱵᱷᱟᱨ ᱠᱟᱛᱮ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱾
ᱢᱩᱪᱟᱹᱫ ᱨᱮ, ᱮᱴᱟᱜ ᱠᱟᱹᱢᱤ ᱠᱚ ᱫᱚ ᱵᱟᱝ ᱠᱟᱹᱢᱤ ᱠᱟᱱᱟ, ᱡᱟᱦᱟᱸ ᱫᱚ ᱥᱮᱢᱯᱚᱞ ᱨᱮ ᱠᱟᱹᱢᱤ ᱞᱟᱹᱜᱤᱫ ᱥᱟᱯᱲᱟᱣ ᱠᱟᱱᱟ, ᱚᱱᱟ ᱫᱚ ᱥᱮᱥᱚᱱ ᱨᱮᱭᱟᱜ ᱠᱟᱹᱢᱤ ᱠᱚ ᱨᱮᱭᱟᱜ ᱢᱤᱫ ᱫᱷᱟᱯ ᱠᱟᱱᱟ᱾
ᱵᱮᱵᱷᱟᱨ ᱢᱮ ᱟᱨ ᱵᱤᱱᱤᱰ ᱢᱮ
ᱱᱟᱶᱟ:
https://goocal.com ᱫᱚ ᱢᱤᱫ ᱯᱚᱨᱴᱮᱵᱟᱞ, ᱟᱨ ᱵᱟᱝ ᱡᱟᱦᱟᱸ ᱫᱚ ᱯᱚᱨᱴᱮᱵᱟᱞ ᱥᱮ ᱯᱟᱨᱤᱵᱮᱥᱵᱷᱟᱨ ᱨᱮ ᱢᱮᱱᱟᱜᱼᱟ ᱾ ᱧᱮᱞ ᱢᱮ 2. ᱵᱟᱝᱠᱷᱟᱱ 5x ᱵᱮᱵᱷᱟᱨ ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱟᱞᱜᱟ ᱰᱟᱦᱟᱨ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱟᱨ ᱵᱟᱝ ᱥᱴᱨᱤᱝ ᱵᱟᱝᱠᱷᱟᱱ ᱨᱤᱢᱚᱰᱮᱞᱤᱝ ᱥᱟᱫᱷᱚᱱ ᱠᱚ ᱾ ᱢᱤᱫ ᱠᱮᱴᱮᱡ ᱟᱨ ᱵᱮᱥ ᱰᱟᱦᱟᱨ ᱫᱚ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱚᱱᱟ ᱫᱚ ᱵᱟᱝ ᱴᱷᱤᱠ ᱜᱮᱭᱟ ᱾ ᱵᱟᱨᱟᱯ ᱟᱨ ᱠᱟᱨᱴᱨᱤᱡᱽ ᱨᱮ ᱫᱩᱲᱩᱵ ᱠᱟᱛᱮ ᱫᱚᱦᱚ ᱠᱟᱛᱮ ᱟᱨ ᱵᱟᱝ ᱢᱤᱫ ᱫᱷᱟᱣ ᱛᱮ ᱵᱚᱱᱫᱚᱭ ᱢᱮ ᱾
ᱵᱮᱵᱷᱟᱨ:
0.5 ᱞᱟᱹᱜᱤᱫ ᱢᱤᱫ ᱥᱴᱨᱤᱝ ᱱᱳᱰ ᱫᱚ ᱟᱹᱰᱤ ᱟᱞᱜᱟ ᱜᱮᱭᱟ, ᱟᱨ ᱵᱟᱝ ᱵᱮᱵᱷᱟᱨ ᱢᱮ ᱾ ᱵᱞᱚᱠᱪᱮᱭᱱ ᱨᱮ, ᱵᱚᱨᱰ ᱫᱚ ᱥᱮᱜᱽᱢᱮᱱᱴ ᱠᱷᱚᱱ ᱵᱟᱧᱪᱟᱣ ᱞᱟᱹᱜᱤᱫ ᱵᱮᱵᱷᱟᱨ ᱦᱩᱭ ᱫᱟᱲᱮᱭᱟᱜᱼᱟ ᱟᱨ ᱮᱴᱟᱜ ᱠᱚ ᱫᱚ ᱱᱚᱣᱟ ᱠᱷᱚᱱ ᱪᱮᱛᱟᱱ ᱨᱮ ᱫᱚᱦᱚ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢᱟᱭᱟ ᱾
ᱟᱞᱮᱭᱟᱜ ᱥᱟᱨᱴᱤᱯᱷᱤᱠᱮᱴ
