ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯃꯣꯁꯟ ꯃꯦꯀꯥꯅꯤꯖꯝ ꯑꯃꯅꯤ ꯃꯁꯤꯅꯥ ꯏꯅꯄꯨꯠ ꯁꯥꯐꯃꯒꯤ ꯂꯦꯞꯇꯅꯥ ꯔꯣꯇꯦꯁꯅꯦꯜ ꯃꯣꯁꯟ ꯑꯁꯤ ꯀꯦꯝ ꯑꯃꯁꯨꯡ ꯐꯣꯂꯣꯋꯔꯒꯤ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯃꯦꯁꯤꯡꯒꯤ ꯈꯨꯠꯊꯥꯡꯗꯥ ꯑꯀꯛꯅꯕꯥ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯥ ꯄꯣꯖꯤꯁꯟ ꯅꯠꯠꯔꯒꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯁꯥꯐꯃꯒꯤ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯔꯣꯇꯦꯁꯅꯦꯜ ꯃꯣꯁꯟꯗꯥ ꯑꯣꯟꯊꯣꯀꯏ꯫
ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ|ꯏꯟꯗꯁ꯭ꯠꯔꯤꯌꯦꯜ ꯑꯣꯇꯣꯃꯦꯁꯅꯒꯤꯗꯃꯛ ꯄ꯭ꯔꯤꯁꯤꯁꯟ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯃꯣꯁꯟ ꯗ꯭ꯔꯥꯏꯕ꯫
꯱.ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯋꯥꯔꯀꯤꯡ ꯄ꯭ꯔꯤꯟꯁꯤꯄꯜ꯫
ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤꯅꯥ ꯑꯣꯇꯣꯃꯦꯇꯦꯗ ꯁ꯭ꯇꯦꯁꯅꯁꯤꯡꯒꯤꯗꯃꯛꯇꯥ ꯀꯣꯔ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯃꯣꯁꯟ ꯗ꯭ꯔꯥꯏꯕ ꯀꯝꯄꯣꯅꯦꯟꯇ ꯑꯃꯥ ꯑꯣꯏꯅꯥ ꯊꯕꯛ ꯇꯧꯏ꯫ ꯑꯍꯥꯅꯕꯗꯥ, ꯗ꯭ꯔꯥꯏꯚꯤꯡ ꯃꯣꯇꯣꯔ ꯑꯗꯨꯅꯥ ꯂꯦꯞꯇꯅꯥ ꯔꯣꯇꯦꯁꯅꯒꯤꯗꯃꯛ ꯏꯟꯇꯔꯅꯦꯜ ꯒ꯭ꯂꯣꯕꯣꯏꯗꯜ ꯀꯦꯝ ꯑꯗꯨꯗꯥ ꯄꯥꯋꯔ ꯄꯤ꯫ ꯃꯗꯨꯒꯤ ꯃꯇꯨꯡꯗꯥ, ꯄ꯭ꯔꯤꯁꯤꯁꯟ ꯀꯦꯝ ꯄ꯭ꯔꯣꯐꯥꯏꯂꯅꯥ ꯆꯞ ꯃꯥꯟꯅꯅꯥ ꯌꯦꯟꯊꯣꯀꯄꯥ ꯔꯣꯂꯔ ꯐꯣꯂꯣꯋꯔꯁꯤꯡꯕꯨ ꯄꯨꯁꯤꯜꯂꯀꯏ꯫ ꯑꯁꯨꯝꯅꯥ, ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤꯅꯥ ꯀꯟꯁꯇꯦꯟꯇ ꯔꯣꯇꯦꯁꯟ ꯑꯁꯤ ꯐꯤꯛꯁ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯏꯟꯗꯦꯛꯁ ꯃꯣꯁꯟꯗꯥ ꯑꯣꯟꯊꯣꯀꯏ꯫ ꯃꯁꯤꯒꯤ ꯃꯅꯨꯡꯗꯥ, ꯃꯁꯤꯅꯥ ꯃꯜꯇꯤ-ꯁ꯭ꯇꯦꯁꯟ ꯑꯣꯇꯣꯃꯦꯇꯦꯗ ꯑꯣꯄꯔꯦꯁꯅꯒꯤꯗꯃꯛ ꯁ꯭ꯇꯦꯕꯜ ꯏꯟꯗꯦꯛꯁ-ꯗꯦꯋꯦꯜ ꯁꯥꯏꯀꯜ ꯁꯦꯝꯃꯤ꯫ ꯃꯁꯤꯒꯤ ꯑꯁꯦꯡꯕꯥ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯀꯦꯝ ꯗ꯭ꯔꯥꯏꯕ ꯁ꯭ꯠꯔꯀꯆꯔ ꯑꯁꯤꯅꯥ ꯂꯦꯡꯗꯕꯥ ꯑꯃꯁꯨꯡ ꯍꯟꯖꯤꯟ ꯍꯟꯖꯤꯟ ꯇꯧꯕꯥ ꯌꯥꯕꯥ ꯃꯣꯁꯟ ꯑꯥꯎꯠꯄꯨꯠ ꯄꯤꯔꯤ꯫
2. ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯃꯔꯨꯑꯣꯏꯕꯥ ꯇꯦꯛꯅꯤꯀꯦꯜ ꯐꯤꯆꯔꯁꯤꯡ꯫
ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯅꯥ ꯁ꯭ꯇꯦꯁꯅꯦꯔꯤ ꯄꯣꯖꯤꯁꯟ ꯇꯧꯅꯕꯒꯤꯗꯃꯛ ꯔꯤꯖꯤꯗ ꯏꯟꯇꯤꯒ꯭ꯔꯦꯇꯦꯗ ꯂꯣꯀꯤꯡ ꯁ꯭ꯠꯔꯀꯆꯔꯒꯤ ꯃꯄꯨ ꯑꯣꯏ꯫ ꯃꯁꯤꯒꯤ ꯃꯊꯛꯇꯥ, ꯍꯥꯏ-ꯄ꯭ꯔꯤꯁꯤꯁꯟ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯅꯥ ꯂꯣꯡ-ꯇꯔꯝ ꯑꯣꯄꯔꯦꯁꯟꯗꯥ ꯂꯦꯞꯇꯅꯥ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯒꯤ ꯑꯆꯨꯝꯕꯥ ꯑꯗꯨ ꯊꯝꯂꯤ꯫ ꯃꯁꯤꯒꯤ ꯃꯊꯛꯇꯥ, ꯔꯣꯂꯔ ꯇꯨꯔꯦꯠ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯅꯥ ꯃꯣꯁꯟ ꯏꯝꯄꯦꯛꯇ ꯍꯟꯊꯍꯟꯅꯕꯥ ꯃꯜꯇꯤ-ꯄꯣꯏꯟꯇ ꯀꯟꯇꯦꯛꯇ ꯑꯦꯗꯣꯞꯇ ꯇꯧꯏ꯫ ꯃꯁꯤꯒꯤ ꯃꯊꯛꯇꯥ, ꯁ꯭ꯇꯦꯟꯗꯔꯗꯥꯏꯖ ꯇꯧꯔꯕꯥ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯃꯣꯗ꯭ꯌꯨꯂꯁꯤꯡꯅꯥ ꯇꯣꯉꯥꯟ ꯇꯣꯉꯥꯅꯕꯥ ꯁ꯭ꯇꯦꯁꯟ ꯑꯦꯉ꯭ꯒꯜ ꯀꯟꯐꯤꯒꯔꯦꯁꯅꯁꯤꯡ ꯁꯄꯣꯔꯠ ꯇꯧꯏ꯫ ꯀꯝꯄꯦꯛꯇ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯤꯡ ꯗ꯭ꯔꯥꯏꯕ ꯌꯨꯅꯤꯠꯁꯤꯡ ꯑꯁꯤ ꯇꯣꯉꯥꯟ ꯇꯣꯉꯥꯅꯕꯥ ꯑꯣꯇꯣꯃꯦꯇꯦꯗ ꯑꯦꯁꯦꯝꯕꯂꯤ ꯑꯃꯁꯨꯡ ꯏꯟꯁꯄꯦꯛꯁꯟ ꯂꯥꯏꯅꯁꯤꯡꯗꯥ ꯃꯄꯨꯡ ꯐꯥꯅꯥ ꯆꯨꯁꯤꯟꯅꯩ꯫
꯳.ꯄ꯭ꯔꯦꯛꯇꯤꯀꯦꯜ ꯏꯟꯗꯁ꯭ꯠꯔꯤꯌꯦꯜ ꯑꯦꯞꯂꯤꯀꯦꯁꯟ ꯀꯦꯁ꯫
ꯐꯨꯗ ꯄꯦꯀꯦꯖꯤꯡ ꯑꯣꯇꯣꯃꯦꯁꯟ ꯁ꯭ꯇꯦꯁꯟ ꯑꯃꯅꯥ ꯁ꯭ꯇꯦꯁꯟ ꯁꯣꯏꯆ ꯇꯧꯅꯕꯒꯤꯗꯃꯛ ꯁ꯭ꯇꯦꯟꯗꯔꯗ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯏꯅꯁ꯭ꯇꯣꯜ ꯇꯧꯏ꯫ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤꯅꯥ ꯐꯤꯜꯂꯤꯡ ꯑꯃꯁꯨꯡ ꯁꯤꯂꯤꯡ ꯄ꯭ꯔꯣꯁꯤꯖꯔꯁꯤꯡꯒꯤꯗꯃꯛꯇꯥ ꯁ꯭ꯇꯦꯕꯜ ꯏꯟꯇꯔꯃꯤꯇꯦꯟꯇ ꯔꯣꯇꯦꯁꯟ ꯑꯦꯛꯁꯦꯁꯤꯕꯜ ꯇꯧꯏ꯫ ꯃꯁꯤꯅꯥ ꯑꯆꯨꯝꯕꯥ ꯃꯦꯅꯨꯑꯦꯜ ꯑꯃꯁꯨꯡ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯃꯦꯆꯤꯡ ꯁꯣꯌꯗꯅꯥ ꯂꯩꯍꯟꯅꯕꯥ ꯐꯤꯛꯁ ꯇꯧꯔꯕꯥ ꯂꯦꯡꯗꯅꯥ ꯂꯩꯕꯒꯤ ꯃꯇꯝ ꯊꯝꯂꯤ꯫ ꯃꯁꯤꯗꯥ ꯅꯠꯇꯅꯥ, ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤꯅꯥ ꯆꯥꯡ ꯅꯥꯏꯅꯥ ꯁꯥꯏꯛꯂꯤꯛ ꯃꯨꯚꯃꯦꯟꯇꯇꯒꯤ ꯄꯣꯖꯤꯁꯟ ꯑꯣꯐꯁꯦꯠ ꯇꯧꯕꯗꯒꯤ ꯉꯥꯀꯊꯣꯀꯏ꯫ ꯃꯁꯤꯅꯥ ꯃꯜꯇꯤ-ꯁ꯭ꯇꯦꯁꯟ ꯄꯦꯀꯦꯖꯤꯡ ꯑꯣꯇꯣꯃꯦꯁꯟ ꯄ꯭ꯔꯣꯁꯦꯁꯁꯤꯡꯒꯤ ꯁ꯭ꯇꯦꯕꯜ ꯑꯃꯁꯨꯡ ꯑꯣꯔꯗꯔꯂꯤ ꯑꯣꯄꯔꯦꯁꯟ ꯑꯗꯨ ꯂꯦꯡꯗꯅꯥ ꯊꯝꯂꯤ꯫








ꯃꯐꯝ ꯑꯁꯤꯗꯥ ꯄꯦꯖ ꯑꯁꯤꯗꯥ, ꯑꯩꯈꯣꯌꯅꯥ ꯇꯥꯂꯃꯦꯟ ꯔꯣꯕꯣꯇꯤꯛꯁꯇꯒꯤ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯁꯤꯡꯒꯤ ꯁꯤꯔꯤꯖ ꯑꯃꯥ ꯍꯧꯗꯣꯛꯂꯤ,ꯃꯈꯥꯗꯥ ꯄꯤꯔꯤꯕꯥ ꯃꯑꯣꯡꯗꯥ ꯗꯦꯇꯥ ꯁꯤꯠ, ꯄ꯭ꯔꯗꯛꯁꯟ ꯄꯤꯀꯆꯔ,ꯚꯤꯗꯤꯑꯣꯁꯤꯡ ꯎꯕꯥ ꯐꯪꯒꯅꯤ:
ꯑꯗꯨꯒꯥ ꯑꯗꯣꯝꯅꯥ ꯑꯍꯦꯅꯕꯥ ꯄ꯭ꯔꯣꯖꯦꯛꯇꯁꯤꯡ ꯌꯦꯡꯕꯤꯅꯕꯥ ꯅꯠꯔꯒꯥ Youtube ꯒꯤ ꯈꯨꯠꯊꯥꯡꯗꯥ ꯑꯩꯈꯣꯌꯒꯤ ꯚꯤꯗꯤꯑꯣ ꯒꯦꯜꯂꯔꯤꯗꯥ ꯆꯠꯅꯕꯥ ꯇꯔꯥꯝꯅꯥ ꯑꯣꯀꯆꯔꯤ:https://www.youtube.com/@tallmanrobotics ꯗꯥ ꯊꯥꯕꯤꯔꯀꯎ꯫
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ꯃꯈꯜ |
ꯃꯁꯛ ꯁꯥꯕ |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯔꯦꯗꯤꯑꯦꯜ ꯂꯣꯗ (kgf) |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ꯫ ꯑꯥꯎꯠꯄꯨꯠ ꯑꯦꯛꯁꯦꯁꯤꯑꯦꯜ ꯂꯣꯗ (ꯀꯦ.ꯖꯤ.ꯑꯦꯐ.) ꯴. |
ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯒꯤ ꯑꯆꯨꯝꯕꯥ(Arc sec) |
ꯑꯔꯨꯝꯕ |
|
ꯗꯤ.ꯑꯦꯁ.ꯇꯥꯏꯞ꯫ ꯁꯥꯐꯝ ꯑꯥꯎꯇꯄꯨꯠ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯥ ꯗ꯭ꯔꯥꯏꯚꯁꯤꯡ꯫
|
꯴꯵ꯗꯤ.ꯑꯦꯁ |
80 |
72.5 |
±30 |
7.0 |
|
꯶꯰ꯗꯤ.ꯑꯦꯁ |
180 |
150 |
±30 |
13.0 |
|
|
꯶꯳ꯗꯤ.ꯑꯦꯁ |
180 |
150 |
±30 |
15.0 |
|
|
꯷꯰ꯗꯤ.ꯑꯦꯁ |
220 |
220 |
±30 |
18.0 |
|
|
꯸꯰ꯗꯤ.ꯑꯦꯁ |
220 |
220 |
±30 |
32.0 |
|
|
꯸꯳ꯗꯤ.ꯑꯦꯁ |
330 |
420 |
±30 |
26.5 |
|
|
꯱꯰꯰ꯗꯤ.ꯑꯦꯁ |
400 |
450 |
±30 |
50.0 |
|
|
꯱꯱꯰ꯗꯤ.ꯑꯦꯁ |
500 |
550 |
±30 |
65.0 |
|
|
꯱꯲꯵ꯗꯤ.ꯑꯦꯁ |
600 |
630 |
±30 |
75.0 |
|
|
꯱꯴꯰ꯗꯤ.ꯑꯦꯁ |
730 |
860 |
±30 |
90.0 |
|
|
꯱꯸꯰ꯗꯤ.ꯑꯦꯁ |
1200 |
1500 |
±30 |
220.0 |
|
|
ꯗꯤ.ꯑꯦꯐ.ꯇꯥꯏꯞ꯫ ꯐ꯭ꯂꯦꯡꯖ ꯑꯥꯎꯇꯄꯨꯠ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ꯫
|
꯴꯵ꯗꯤ.ꯑꯦꯐ |
130 |
140 |
±30 |
7.0 |
|
꯶꯰ꯗꯤ.ꯑꯦꯐ |
140 |
142 |
±30 |
13.0 |
|
|
꯷꯰ꯗꯤ.ꯑꯦꯐ |
220 |
300 |
±30 |
18.0 |
|
|
꯸꯰ꯗꯤ.ꯑꯦꯐ |
330 |
420 |
±30 |
32.0 |
|
|
꯱꯱꯰ꯗꯤ.ꯑꯦꯐ |
560 |
700 |
±30 |
65.0 |
|
|
꯱꯴꯰ꯗꯤ.ꯑꯦꯐ |
760 |
1000 |
±30 |
90.0 |
|
|
꯱꯸꯰ꯗꯤ.ꯑꯦꯐ |
1200 |
1500 |
±30 |
220.0 |
|
|
꯲꯵꯰ꯗꯤ.ꯑꯦꯐ |
3200 |
4150 |
±30 |
685.0 |
|
|
ꯗꯤ.ꯏ.ꯒꯤ ꯃꯈꯜ꯫ ꯐ꯭ꯂꯦꯡꯖ & ꯁꯥꯐꯝ ꯑꯥꯎꯠꯄꯨꯠ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯥ ꯗ꯭ꯔꯥꯏꯕ꯫
|
꯴꯵ꯗꯤ.ꯏ |
130 |
140 |
±30 |
7.0 |
|
꯶꯰ꯗꯤ.ꯏ |
140 |
142 |
±30 |
13.0 |
|
|
꯷꯰ꯗꯤ.ꯏ |
220 |
300 |
±30 |
18.0 |
|
|
꯸꯰ꯗꯤ.ꯏ |
330 |
420 |
±30 |
32.0 |
|
|
꯱꯱꯰ꯗꯤ.ꯏ |
560 |
700 |
±30 |
65.0 |
|
|
꯱꯴꯰ꯗꯤ.ꯏ |
760 |
1000 |
±30 |
90.0 |
|
|
꯱꯸꯰ꯗꯤ.ꯏ |
1200 |
1500 |
±30 |
220.0 |
|
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ꯗꯤ.ꯑꯦꯁ./ ꯗꯤ.ꯑꯦꯐ./ ꯗꯤ.ꯏ.ꯒꯤ ꯃꯣꯗꯦꯂꯒꯤꯗꯃꯛ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯒꯤ ꯑꯣꯄꯁꯅꯁꯤꯡ: |
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ꯃꯈꯜ |
ꯃꯁꯛ ꯁꯥꯕ |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯔꯦꯗꯤꯑꯦꯜ ꯂꯣꯗ (kgf) |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯑꯦꯛꯁꯦꯁꯤꯑꯦꯜ ꯂꯣꯗ (kgf) |
ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯒꯤ ꯑꯆꯨꯝꯕꯥ(Arc sec) |
ꯑꯔꯨꯝꯕ |
|
ꯗꯤ.ꯇꯤ.ꯒꯤ ꯃꯈꯜ꯫ ꯇꯦꯕꯜ ꯃꯈꯜ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ꯫
|
꯸꯰ꯗꯤ.ꯇꯤ |
520 |
220 |
±30 |
20.0 |
|
꯱꯱꯰ꯗꯤ.ꯇꯤ |
860 |
420 |
±30 |
50.0 |
|
|
꯱꯴꯰ꯗꯤ.ꯇꯤ |
1050 |
720 |
±30 |
85.0 |
|
|
꯱꯸꯰ꯗꯤ.ꯇꯤ |
1500 |
1100 |
±30 |
190.0 |
|
|
꯲꯱꯰ꯗꯤ.ꯇꯤ |
1950 |
1520 |
±30 |
450.0 |
|
|
꯲꯵꯰ꯗꯤ.ꯇꯤ |
2500 |
1800 |
±30 |
500.0 |
|
|
꯳꯵꯰ꯗꯤ.ꯇꯤ |
4500 |
3300 |
±30 |
1200.0 |
|
|
꯴꯵꯰ꯗꯤ.ꯇꯤ |
6500 |
4500 |
±30 |
2240 |
|
|
ꯃꯈꯜ |
ꯃꯁꯛ ꯁꯥꯕ |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯑꯦꯛꯁꯦꯁꯤꯑꯦꯜ ꯂꯣꯗ ꯁꯤ ꯱ (ꯀꯦ.ꯖꯤ.ꯑꯦꯐ.) |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯑꯦꯛꯁꯦꯁꯤꯑꯦꯜ ꯂꯣꯗ ꯁꯤ ꯲ (ꯀꯤ.ꯖꯤ.ꯑꯦꯐ.) |
ꯔꯤꯄꯤꯇꯦꯕꯤꯂꯤꯇꯤ ꯂꯩꯕꯥ꯫ |
ꯑꯔꯨꯝꯕ |
|
ꯗꯤ.ꯑꯦ.ꯒꯤ ꯃꯈꯜ꯫ ꯑꯂꯠꯔꯥꯊꯤꯟ ꯇꯦꯕꯜ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ꯫
|
꯷꯰ꯗꯤ.ꯑꯦ |
316 |
142 |
±30 |
15.0 |
|
꯹꯰ꯗꯤ.ꯑꯦ |
500 |
215 |
±30 |
28.0 |
|
|
꯱꯱꯰ꯗꯤ.ꯑꯦ |
700 |
350 |
±30 |
42.0 |
|
|
꯱꯵꯰ꯗꯤ.ꯑꯦ |
1200 |
700 |
±30 |
86.0 |
|
|
꯱꯹꯰ꯗꯤ.ꯑꯦ |
1840 |
920 |
±30 |
185 |
|
|
꯲꯳꯰ꯗꯤ.ꯑꯦ |
2800 |
1300 |
±30 |
285 |
|
|
꯳꯳꯰ꯗꯤ.ꯑꯦ |
3560 |
3430 |
±30 |
1000 |
|
|
꯴꯵꯰ꯗꯤ.ꯑꯦ |
4850 |
4160 |
±30 |
1600 |
|
|
ꯗꯤ.ꯇꯤ., ꯗꯤ.ꯑꯦ.ꯒꯤ ꯃꯣꯗꯦꯂꯒꯤꯗꯃꯛ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯒꯤ ꯑꯣꯄꯁꯅꯁꯤꯡ: |
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|
ꯃꯈꯜ |
ꯃꯁꯛ ꯁꯥꯕ |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯑꯦꯛꯁꯦꯁꯤꯑꯦꯜ ꯐꯣꯔꯁ (kgf) |
ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯔꯦꯗꯤꯑꯦꯜ ꯐꯣꯔꯁ (kgf) |
ꯔꯤꯄꯤꯇꯦꯕꯤꯂꯤꯇꯤ ꯂꯩꯕꯥ꯫ |
ꯑꯔꯨꯝꯕ |
|
ꯄꯤ.ꯌꯨ.ꯒꯤ ꯃꯈꯜ꯫ ꯄꯦꯔꯥꯂꯦꯜ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁ ꯇꯧꯕꯥ ꯗ꯭ꯔꯥꯏꯕ꯫
|
ꯄꯤ.ꯌꯨ.꯵꯰ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
130 |
100 |
60 |
7.5 |
|
ꯄꯤ.ꯌꯨ.꯶꯵ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
250 |
160 |
60 |
15.0 |
|
|
ꯄꯤ.ꯌꯨ.꯸꯰ |
360 |
250 |
60 |
20.0 |
|
|
ꯄꯤ.ꯌꯨ.꯱꯰꯰ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
480 |
400 |
60 |
38.0 |
|
|
ꯄꯤ.ꯌꯨ.꯱꯲꯵ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
520 |
630 |
60 |
65.0 |
|
|
ꯄꯤ.ꯌꯨ.꯱꯵꯰ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
750 |
860 |
60 |
100.0 |
|
|
ꯄꯤ.ꯌꯨ.꯱꯷꯵ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
920 |
1000 |
60 |
160.0 |
|
|
ꯄꯤ.ꯌꯨ.꯲꯲꯵ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
1435 |
1470 |
60 |
285.0 |
|
|
ꯄꯤ.ꯌꯨ.꯲꯵꯰ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
1550 |
1560 |
60 |
388.0 |
|
|
ꯄꯤ.ꯌꯨ.꯳꯲꯰ ꯑꯃꯁꯨꯡ ꯑꯦꯟ |
2300 |
2400 |
60 |
750.0 |
|
|
ꯃꯣꯇꯣꯔ & ꯏꯟꯗꯦꯛꯁꯔ ꯍꯣꯜ ꯁꯣꯂꯨꯁꯅꯁꯤꯡꯒꯤꯗꯃꯛ ꯃꯜꯇꯤꯄꯜ ꯑꯣꯄꯁꯅꯁꯤꯡ꯫ |
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ꯑꯦꯐ.ꯑꯦ.ꯀ꯭ꯌꯨ.ꯒꯤ ꯃꯇꯥꯡꯗꯥ:
1. ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯃꯒꯤ "ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ" ꯍꯥꯌꯕꯁꯤ ꯑꯀꯛꯅꯅꯥ ꯀꯔꯤꯕꯨ ꯈꯪꯅꯩ? ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯒꯥ ꯀꯔꯤ ꯃꯔꯤ ꯂꯩꯅꯕꯒꯦ?
ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯃꯗꯥ, ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤꯅꯥ ꯃꯄꯨꯡꯐꯥꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯔꯤꯚꯣꯜꯌꯨꯁꯟ ꯈꯨꯗꯤꯡꯃꯛꯀꯤ ꯑꯣꯏꯅꯥ ꯏꯅꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯗꯨꯅꯥ ꯐꯤꯛꯁ ꯇꯧꯔꯕꯥ ꯃꯁꯤꯡꯒꯤ ꯇꯔꯟ ꯑꯃꯥ ꯔꯣꯇꯦꯠ ꯇꯧꯕꯥ ꯃꯔꯤ ꯑꯗꯨꯕꯨ ꯈꯪꯅꯩ꯫ ꯃꯔꯨꯑꯣꯏꯅꯥ, ꯏꯅꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯗꯨꯅꯥ ꯃꯄꯨꯡꯐꯥꯕꯥ 360 ꯗꯤꯒ꯭ꯔꯤ ꯔꯣꯇꯦꯁꯟ ꯑꯃꯥ ꯃꯄꯨꯡ ꯐꯥꯍꯟꯅꯕꯒꯤꯗꯃꯛ ꯑꯥꯎꯇꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯗꯨꯅꯥ ꯆꯞ ꯃꯥꯟꯅꯕꯥ "N" ꯇꯔꯅꯁꯤꯡꯗꯥ ꯔꯣꯇꯦꯠ ꯇꯧꯒꯗꯕꯅꯤ, ꯃꯐꯃꯁꯤꯗꯥ N ꯑꯁꯤ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯒꯥ ꯃꯥꯟꯅꯩ꯫ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔ ꯑꯁꯤꯅꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯔꯤꯚꯣꯂꯨꯁꯟ ꯑꯃꯗꯥ ꯁ꯭ꯇꯣꯞ ꯅꯠꯠꯔꯒꯥ ꯋꯥꯔꯀꯁ꯭ꯇꯦꯁꯅꯒꯤ ꯃꯁꯤꯡ ꯑꯗꯨ ꯇꯥꯀꯏ꯫
ꯀꯅꯦꯛꯁꯟ ꯑꯁꯤ ꯗꯥꯏꯔꯦꯛꯇ ꯑꯃꯁꯨꯡ ꯃꯦꯊꯃꯦꯇꯤꯀꯦꯜ ꯑꯣꯏ꯫ ꯑꯥꯎꯇꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯁꯤ ꯏꯅꯄꯨꯠ ꯁꯥꯐꯝ ꯔꯤꯚꯣꯜꯌꯨꯁꯟ ꯑꯃꯗꯥ 360 ꯗꯤꯒ꯭ꯔꯤ /N ꯔꯣꯇꯦꯠ ꯇꯧꯏ꯫ 8-ꯁ꯭ꯇꯦꯁꯟ ꯁ꯭ꯞꯂꯤꯇꯔ (N=8) ꯑꯃꯒꯤ ꯑꯣꯏꯅꯗꯤ, ꯑꯥꯎꯇꯄꯨꯠ ꯑꯗꯨ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯇꯨꯡꯁꯤꯅꯕꯥ ꯃꯇꯃꯗꯥ ꯏꯅꯄꯨꯠ ꯑꯗꯨ 8 ꯔꯛ ꯔꯣꯇꯦꯠ ꯇꯧꯏ꯫ ꯏꯅꯄꯨꯠ ꯇꯔꯟ ꯈꯨꯗꯤꯡꯃꯛꯅꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯑꯗꯨ ꯆꯞ ꯃꯥꯟꯅꯕꯥ ꯗꯤꯒ꯭ꯔꯤ ꯴꯵ ꯍꯦꯟꯅꯥ ꯃꯥꯡꯂꯣꯃꯗꯥ ꯄꯨꯈꯠꯂꯤ . ꯃꯁꯤꯒꯤ ꯃꯔꯤ ꯑꯁꯤ ꯑꯣꯄꯔꯦꯇꯤꯡ ꯁ꯭ꯄꯤꯗ ꯌꯦꯡꯗꯅꯥ ꯂꯦꯡꯗꯅꯥ ꯂꯩꯔꯤ꯫
2. ꯃꯍꯧꯁꯥꯅꯥ ꯁꯤꯖꯤꯟꯅꯔꯤꯕꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯁꯤꯡ ꯑꯁꯤ ꯀꯔꯤꯅꯣ? ꯏꯛꯌꯨꯏꯄꯃꯦꯟꯇ ꯑꯣꯄꯔꯦꯇꯤꯡ ꯀꯟꯗꯤꯁꯅꯁꯤꯡꯗꯥ ꯌꯨꯝꯐꯝ ꯑꯣꯏꯗꯨꯅꯥ ꯃꯇꯧ ꯀꯔꯝꯅꯥ ꯃꯇꯤꯛ ꯆꯥꯕꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯈꯅꯒꯗꯒꯦ?
ꯀꯃꯟ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯁꯤꯡ (ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤ ꯍꯀꯊꯦꯡꯅꯅꯥ ꯂꯦꯄꯊꯣꯀꯄꯥ) ꯑꯁꯤꯒꯤ ꯃꯅꯨꯡꯗꯥ ꯁ꯭ꯇꯦꯁꯟ ꯲, ꯳, ꯴, ꯶, ꯸, ꯱꯲, ꯱꯶, ꯑꯃꯁꯨꯡ ꯲꯴ ꯌꯥꯑꯣꯔꯤ꯫ ꯍꯥꯌꯔꯤꯕꯁꯤꯡ ꯑꯁꯤ ꯲:꯱, ꯳:꯱, ꯴:꯱, ꯑꯃꯁꯨꯡ ꯃꯈꯥ ꯇꯥꯅꯥ ꯲꯴:꯱ ꯐꯥꯑꯣꯕꯒꯤ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯁꯤꯡꯒꯥ ꯃꯥꯟꯅꯩ꯫
ꯃꯇꯤꯛ ꯆꯥꯕꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯈꯅꯕꯗꯥ, ꯑꯍꯥꯅꯕꯗꯥ ꯅꯍꯥꯛꯀꯤ ꯄ꯭ꯔꯣꯁꯦꯁꯀꯤꯗꯃꯛꯇꯥ ꯃꯊꯧ ꯇꯥꯕꯥ ꯋꯥꯔꯀꯁ꯭ꯇꯦꯁꯟ ꯃꯁꯤꯡ ꯑꯗꯨ ꯂꯦꯄꯊꯣꯀꯎ꯫ ꯏꯅꯔꯖꯤ ꯑꯃꯁꯨꯡ ꯐ꯭ꯔꯤꯛꯁꯟ ꯐꯣꯔꯁꯁꯤꯡ ꯈꯟꯅꯗꯨꯅꯥ ꯂꯣꯗ ꯇꯣꯔꯛ ꯑꯗꯨ ꯂꯦꯄꯊꯣꯀꯎ꯫ ꯐꯣꯔꯃꯨꯂꯥ ꯑꯁꯤ ꯁꯤꯖꯤꯟꯅꯗꯨꯅꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯁ꯭ꯄꯤꯗ ꯑꯗꯨ ꯅꯍꯥꯛꯀꯤ ꯄ꯭ꯔꯗꯛꯁꯟ ꯔꯦꯇꯀꯤ ꯃꯊꯧ ꯇꯥꯕꯁꯤꯡꯒꯥ ꯃꯥꯟꯅꯍꯅꯒꯗꯕꯅꯤ: ꯑꯥꯎꯇꯄꯨꯠ ꯁ꯭ꯄꯤꯗ=ꯏꯅꯄꯨꯠ ꯁ꯭ꯄꯤꯗ / N. ꯃꯣꯁꯟ ꯚꯦꯔꯁꯦꯁ ꯂꯦꯡꯗꯅꯥ ꯂꯩꯕꯒꯤ ꯃꯇꯝ ꯑꯦꯂꯣꯀꯦꯁꯅꯗꯥ ꯁꯣꯀꯍꯜꯂꯤꯕꯥ ꯗꯥꯏꯅꯥꯃꯤꯛ-ꯁ꯭ꯇꯦꯇꯤꯛ ꯔꯦꯁꯤꯑꯣ ꯑꯗꯨ ꯈꯟꯅꯧ. ꯁ꯭ꯞꯂꯤꯇꯔꯒꯤ ꯔꯦꯠ ꯇꯣꯔꯛ ꯑꯗꯨꯅꯥ ꯅꯍꯥꯛꯀꯤ ꯀꯦꯂꯀꯨꯂꯦꯠ ꯇꯧꯔꯕꯥ ꯂꯣꯗ ꯑꯗꯨ 20-30% ꯃꯥꯔꯖꯤꯅꯗꯒꯤ ꯍꯦꯅꯕꯥ ꯔꯦꯁꯤꯑꯣ ꯑꯃꯥ ꯈꯜꯂꯨ꯫ RPM ꯏꯅꯄꯨꯠ 200ꯗꯒꯤ ꯍꯦꯅꯕꯥ ꯍꯥꯏ-ꯁ꯭ꯄꯤꯗ ꯑꯦꯞꯂꯤꯀꯦꯁꯅꯁꯤꯡꯒꯤꯗꯃꯛ, ꯄ꯭ꯔꯤꯁꯤꯁꯟ-ꯒ꯭ꯔꯥꯎꯟꯗ ꯀꯦꯝ ꯄ꯭ꯔꯣꯐꯥꯏꯂꯁꯤꯡ ꯈꯜꯂꯨ.
꯳.ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯍꯦꯟꯅꯥ ꯆꯥꯎꯔꯕꯗꯤ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯆꯠꯄꯒꯤ ꯈꯣꯡꯖꯦꯜ ꯌꯥꯡꯅꯥ ꯅꯠꯔꯒꯥ ꯇꯞꯅꯥ ꯇꯞꯅꯥ ꯆꯠꯂꯤ? ꯈꯅꯒꯠꯂꯕꯥ ꯗꯤꯒ꯭ꯔꯤꯁꯤꯡꯒꯤ ꯔꯦꯟꯖ (ꯊꯧꯗꯥꯡꯒꯤ ꯃꯁꯤꯡ) ꯑꯁꯤ ꯀꯌꯥꯅꯣ? ꯅꯟ--ꯁ꯭ꯇꯦꯟꯗꯔꯗ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯁꯤꯡ ꯑꯁꯤ ꯀꯁ꯭ꯇꯃꯁ ꯑꯣꯏꯅꯥ ꯁꯤꯖꯤꯟꯅꯕꯥ ꯌꯥꯒꯗ꯭ꯔꯥ?
ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ (ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔ) ꯍꯦꯟꯅꯥ ꯆꯥꯎꯔꯕꯗꯤ, ꯑꯄꯤꯕꯥ ꯏꯅꯄꯨꯠ ꯁ꯭ꯄꯤꯗ ꯑꯃꯒꯤꯗꯃꯛ ꯑꯥꯎꯇꯄꯨꯠ ꯑꯗꯨ ꯍꯦꯟꯅꯥ ꯇꯞꯅꯥ ꯆꯠꯂꯤ꯫ ꯐꯤꯛꯁ ꯇꯧꯔꯕꯥ ꯏꯅꯄꯨꯠ ꯁ꯭ꯄꯤꯗ ꯑꯃꯒꯥ ꯂꯣꯌꯅꯅꯥ, N ꯍꯦꯅꯒꯠꯂꯀꯄꯅꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯔꯣꯇꯦꯁꯅꯦꯜ ꯁ꯭ꯄꯤꯗ ꯑꯗꯨ ꯄ꯭ꯔꯣꯄꯣꯔꯆꯨꯅꯦꯜ ꯑꯣꯏꯅꯥ ꯍꯟꯊꯍꯜꯂꯤ꯫ ꯈꯨꯗꯝ ꯑꯣꯏꯅꯥ, 120 RPM ꯏꯅꯄꯨꯇꯇꯥ, 8-ꯁ꯭ꯇꯦꯁꯟ ꯁ꯭ꯞꯂꯤꯇꯔ ꯑꯃꯅꯥ 15 RPM ꯑꯥꯎꯇꯄꯨꯠ ꯄꯤ, ꯑꯗꯨꯒꯥ 12-ꯁ꯭ꯇꯦꯁꯟ ꯁ꯭ꯞꯂꯤꯇꯔ ꯑꯃꯅꯥ 10 RPM ꯑꯥꯎꯇꯄꯨꯠ ꯈꯛꯇꯃꯛ ꯄꯤ꯫
ꯈꯅꯒꯠꯂꯕꯥ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯁꯤꯡꯒꯤ ꯔꯦꯟꯖ ꯑꯁꯤ ꯃꯍꯧꯁꯥꯅꯥ ꯁ꯭ꯇꯦꯁꯟ ꯲ꯗꯒꯤ ꯲꯴ ꯐꯥꯑꯣꯕꯥ ꯌꯧꯏ, ꯃꯁꯤꯗꯥ ꯴, ꯶, ꯸, ꯱꯲, ꯑꯃꯁꯨꯡ ꯱꯶ ꯌꯥꯑꯣꯅꯥ ꯀꯃꯟ ꯚꯦꯜꯌꯨꯁꯤꯡ ꯌꯥꯑꯣꯏ, ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔ ꯈꯔꯅꯥ ꯁ꯭ꯇꯦꯁꯟ ꯲꯴ ꯅꯠꯠꯔꯒꯥ ꯃꯁꯤꯗꯒꯤ ꯍꯦꯅꯕꯥ ꯐꯥꯑꯣꯕꯥ ꯄꯤꯔꯤ꯫ ꯍꯣꯌ, ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔꯁꯤꯡꯅꯥ ꯅꯟ--ꯁ꯭ꯇꯦꯟꯗꯔꯗ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯁꯤꯡ ꯀꯁ꯭ꯇꯃꯁ ꯇꯧꯕꯥ ꯌꯥꯏ꯫ ꯑꯗꯨꯝ ꯑꯣꯏꯅꯃꯛ, ꯅꯟ--ꯁ꯭ꯇꯦꯟꯗꯔꯗ ꯌꯨꯅꯤꯠꯁꯤꯡꯗꯥ ꯑꯈꯟꯅꯕꯥ ꯗꯤꯖꯥꯏꯟ ꯑꯃꯁꯨꯡ ꯇꯨꯂꯤꯡ ꯃꯊꯧ ꯇꯥꯏ꯫ ꯃꯈꯣꯌꯒꯤ ꯂꯤꯗ ꯇꯥꯏꯝ ꯍꯦꯟꯅꯥ ꯁꯥꯡꯕꯥ ꯑꯃꯁꯨꯡ ꯃꯃꯜ ꯍꯦꯟꯅꯥ ꯂꯩꯕꯥ ꯌꯥꯏ꯫ ꯀꯁ꯭ꯇꯃꯔ ꯗꯤꯚꯤꯖꯅꯒꯤ ꯃꯊꯧ ꯇꯥꯕꯁꯤꯡꯒꯤꯗꯃꯛꯇꯥ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔ ꯑꯗꯨꯒꯥ ꯇꯥꯟꯅꯧ꯫
4. ꯆꯞ ꯃꯥꯟꯅꯕꯥ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯗꯨꯅꯥ ꯗꯤꯚꯤꯖꯟ ꯅꯠꯔꯒꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯒꯤ ꯗꯤꯒ꯭ꯔꯤ ꯑꯗꯨ ꯑꯦꯗꯖꯁ꯭ꯠ ꯇꯧꯕꯥ ꯉꯃꯒꯗ꯭ꯔꯥ? ꯅꯍꯥꯛꯅꯥ ꯁꯔꯨꯀꯁꯤꯡ ꯑꯗꯨ ꯍꯣꯡꯗꯣꯀꯄꯥ ꯃꯊꯧ ꯇꯥꯕ꯭ꯔꯥ?
ꯆꯞ ꯃꯥꯟꯅꯕꯥ ꯁ꯭ꯞꯂꯤꯇꯔ ꯑꯗꯨꯅꯥ ꯁꯔꯨꯀꯁꯤꯡ ꯍꯣꯡꯗꯣꯀꯄꯥ ꯌꯥꯗꯅꯥ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔ ꯅꯠꯠꯔꯒꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯑꯗꯨ ꯑꯦꯗꯖꯁ꯭ꯠ ꯇꯧꯕꯥ ꯉꯃꯗꯦ꯫ ꯀꯦꯝ ꯄ꯭ꯔꯣꯐꯥꯏꯜ ꯑꯃꯁꯨꯡ ꯏꯟꯇꯔꯅꯦꯜ ꯒꯤꯌꯔ ꯔꯦꯁꯤꯑꯣ ꯑꯁꯤ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯤꯡ ꯇꯧꯕꯥ ꯃꯇꯃꯗꯥ ꯂꯦꯄꯊꯣꯀꯏ꯫ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔꯁꯤꯡꯅꯥ ꯐꯦꯛꯇꯔꯤꯗꯒꯤ ꯊꯣꯛꯂꯛꯠꯔꯤꯉꯩꯒꯤ ꯃꯃꯥꯡꯗꯥ ꯄ꯭ꯔꯤꯁꯤꯁꯟ ꯀꯝꯄꯣꯅꯦꯟꯇꯁꯤꯡ ꯑꯁꯤ ꯑꯦꯁꯦꯝꯕꯜ ꯇꯧꯏ ꯑꯃꯁꯨꯡ ꯑꯦꯗꯖꯁ꯭ꯠ ꯇꯧꯏ꯫
ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔ ꯍꯣꯡꯗꯣꯀꯄꯗꯥ ꯏꯟꯇꯔꯅꯦꯜ ꯀꯦꯝ ꯑꯃꯁꯨꯡ ꯏꯟꯗꯦꯛꯁ ꯍꯨꯏꯜ ꯑꯦꯁꯦꯝꯕꯂꯤ ꯍꯣꯡꯗꯣꯀꯄꯥ ꯃꯊꯧ ꯇꯥꯏ꯫ ꯃꯁꯤꯅꯥ ꯇꯉꯥꯏꯐꯗꯅꯥ ꯌꯨꯅꯤꯠ ꯑꯁꯤ ꯑꯅꯧꯕꯥ ꯁꯔꯨꯀꯁꯤꯡꯒꯥ ꯂꯣꯌꯅꯅꯥ ꯑꯃꯨꯛ ꯍꯟꯅꯥ ꯁꯦꯃꯒꯠꯄꯥ ꯍꯥꯌꯕꯁꯤꯅꯤ꯫ ꯃꯣꯗꯦꯜ ꯈꯔꯅꯥ ꯏꯅꯄꯨꯠ ꯁꯥꯐꯝ ꯑꯦꯛꯁꯦꯟꯠꯔꯤꯛ ꯁ꯭ꯂꯤꯚꯁꯤꯡꯒꯤ ꯂꯤꯃꯤꯇꯦꯗ ꯑꯦꯗꯖꯁ꯭ꯇꯃꯦꯟꯇ ꯇꯧꯗꯨꯅꯥ ꯋꯦꯌꯔ-ꯒꯥ ꯃꯔꯤ ꯂꯩꯅꯕꯥ ꯕꯦꯀꯂꯦꯁꯁꯤꯡ ꯂꯧꯊꯣꯛꯅꯕꯥ ꯑꯌꯥꯕꯥ ꯄꯤꯔꯤ꯫ ꯑꯗꯨꯝ ꯑꯣꯏꯅꯃꯛ, ꯃꯁꯤꯒꯤ ꯑꯦꯗꯖꯁ꯭ꯇꯃꯦꯟꯇ ꯑꯁꯤꯅꯥ ꯗꯤꯚꯤꯖꯟ ꯅꯝꯕꯔꯗꯥ ꯑꯍꯣꯡꯕꯥ ꯄꯨꯔꯀꯄꯥ ꯉꯃꯗꯦ꯫ ꯌꯨꯖꯔꯁꯤꯡꯅꯥ ꯄꯦꯔꯥꯃꯤꯇꯔꯁꯤꯡ ꯑꯁꯤ ꯄ꯭ꯔꯥꯏꯚꯦꯠ ꯑꯣꯏꯅꯥ ꯃꯣꯗꯤꯐꯥꯏ ꯇꯧꯅꯕꯥ ꯍꯣꯠꯅꯔꯣꯏꯗꯕꯅꯤ, ꯃꯔꯃꯗꯤ ꯃꯑꯣꯡ ꯆꯨꯝꯅꯥ ꯑꯦꯗꯖꯁ꯭ꯇꯃꯦꯟꯇ ꯇꯧꯕꯅꯥ ꯁ꯭ꯞꯂꯤꯇꯔ ꯑꯗꯨꯗꯥ ꯑꯃꯥꯡ-ꯑꯇꯥ ꯊꯣꯀꯍꯅꯕꯥ ꯌꯥꯏ ꯑꯃꯁꯨꯡ ꯋꯥꯔꯦꯟꯇꯤ ꯑꯗꯨ ꯚꯣꯏꯗ ꯇꯧꯕꯥ ꯌꯥꯏ꯫
5. ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯑꯃꯁꯨꯡ ꯑꯥꯎꯠꯄꯨꯠ ꯇꯣꯔꯀꯀꯤ ꯃꯔꯛꯇꯥ ꯀꯔꯤ ꯃꯔꯤ ꯂꯩꯅꯕꯒꯦ? ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣ ꯍꯦꯟꯅꯥ ꯋꯥꯡꯕꯥ ꯃꯇꯃꯗꯥ ꯇꯣꯔꯛ ꯍꯦꯟꯅꯥ ꯋꯥꯡꯕꯥ ꯑꯣꯏꯒꯗ꯭ꯔꯥ?
ꯍꯣꯌ, ꯍꯦꯟꯅꯥ ꯋꯥꯡꯕꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯅꯥ ꯍꯦꯟꯅꯥ ꯆꯥꯎꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯇꯣꯔꯛ ꯄꯨꯊꯣꯀꯏ, ꯃꯁꯤꯅꯥ ꯇꯣꯔꯛ ꯃꯜꯇꯤꯄꯂꯒꯤ ꯄ꯭ꯔꯤꯟꯁꯤꯄꯜ ꯑꯗꯨ ꯉꯥꯛꯅꯥ ꯆꯠꯂꯤ꯫ ꯑꯥꯎꯇꯄꯨꯠ ꯇꯣꯔꯛ ꯑꯁꯤ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯅꯥ ꯃꯁꯤꯡ ꯌꯥꯃꯍꯅꯕꯥ ꯏꯅꯄꯨꯠ ꯇꯣꯔꯛ ꯑꯗꯨꯒꯥ ꯃꯥꯟꯅꯩ, ꯃꯁꯤꯅꯥ ꯏꯐꯤꯁꯤꯑꯦꯟꯁꯤ ꯂꯣꯁꯁꯤꯡ ꯃꯥꯏꯅꯤꯡ ꯇꯧꯏ꯫ ꯑꯄꯤꯕꯥ ꯏꯅꯄꯨꯠ ꯃꯣꯇꯣꯔ ꯇꯣꯔꯛ ꯑꯃꯒꯤ ꯑꯣꯏꯅꯥ, 8:1ꯒꯤ ꯔꯦꯁꯤꯑꯣ ꯑꯃꯅꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯑꯗꯨꯗꯥ ꯏꯅꯄꯨꯠ ꯇꯣꯔꯛ ꯑꯗꯨꯒꯤ ꯁꯔꯨꯛ 8 ꯄꯤ꯫
ꯑꯗꯨꯝ ꯑꯣꯏꯅꯃꯛ, ꯃꯔꯤ ꯑꯁꯤꯒꯤ ꯄ꯭ꯔꯦꯛꯇꯤꯀꯦꯜ ꯂꯤꯃꯤꯠ ꯂꯩ꯫ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯑꯁꯤꯅꯥ ꯃꯁꯤꯒꯤ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯀꯟꯁꯠꯔꯛꯁꯅꯗꯥ ꯌꯨꯝꯐꯝ ꯑꯣꯏꯔꯒꯥ ꯈ꯭ꯕꯥꯏꯗꯒꯤ ꯌꯥꯝꯕꯥ ꯑꯌꯥꯕꯥ ꯄꯤꯕꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯇꯣꯔꯛ ꯔꯦꯇꯤꯡ ꯂꯩ꯫ ꯔꯦꯇꯤꯡ ꯑꯁꯤꯗꯒꯤ ꯍꯦꯜꯂꯀꯄꯅꯥ ꯃꯇꯝ ꯆꯥꯗꯅꯥ ꯁꯣꯀꯄꯥ ꯅꯠꯠꯔꯒꯥ ꯁꯣꯀꯄꯥ ꯊꯣꯀꯍꯜꯂꯤ꯫ ꯁ꯭ꯞꯂꯤꯇꯔ ꯑꯃꯥ ꯈꯅꯕꯗꯥ, ꯅꯍꯥꯛꯀꯤ ꯂꯣꯗ ꯑꯃꯁꯨꯡ ꯑꯦꯛꯁꯤꯂꯦꯁꯅꯒꯤ ꯃꯊꯧ ꯇꯥꯕꯁꯤꯡꯗꯒꯤ ꯃꯊꯧ ꯇꯥꯕꯥ ꯑꯥꯎꯇꯄꯨꯠ ꯇꯣꯔꯛ ꯑꯗꯨ ꯂꯦꯄꯊꯣꯀꯎ꯫ ꯃꯗꯨꯒꯤ ꯃꯇꯨꯡꯗꯥ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯔꯦꯠ ꯇꯣꯔꯛ ꯑꯗꯨꯅꯥ ꯚꯦꯜꯌꯨ ꯑꯁꯤꯗꯒꯤ 20-30%ꯒꯤ ꯁꯦꯐꯇꯤ ꯃꯥꯔꯖꯤꯟ ꯍꯦꯟꯅꯥ ꯋꯥꯡꯈꯠꯄꯥ ꯁꯣꯌꯗꯅꯥ ꯂꯩꯍꯅꯒꯗꯕꯅꯤ꯫ ꯍꯦꯟꯅꯥ ꯋꯥꯡꯕꯥ ꯁ꯭ꯄꯤꯗ ꯔꯦꯁꯤꯑꯣꯁꯤꯡꯅꯥ ꯆꯞ ꯃꯥꯟꯅꯕꯥ ꯑꯥꯎꯠꯄꯨꯠ ꯇꯣꯔꯀꯀꯤꯗꯃꯛ ꯑꯄꯤꯀꯄꯥ ꯃꯣꯇꯣꯔꯁꯤꯡ ꯁꯤꯖꯤꯟꯅꯕꯥ ꯌꯥꯍꯜꯂꯤ, ꯑꯗꯨꯕꯨ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔꯒꯤ ꯃꯦꯀꯥꯅꯤꯀꯦꯜ ꯂꯤꯃꯤꯠꯁꯤꯡ ꯑꯁꯤ ꯆꯦꯀꯁꯤꯟꯅꯥ ꯌꯦꯡꯁꯤꯅꯕꯥ ꯃꯊꯧ ꯇꯥꯏ꯫
ꯍꯠ ꯇꯦꯒꯁ: ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ, ꯆꯥꯏꯅꯥ ꯀꯦꯝ ꯏꯟꯗꯦꯛꯁꯔ ꯃꯦꯟꯌꯨꯐꯦꯀꯆꯔꯔꯁꯤꯡ, ꯁꯞꯂꯥꯏꯌꯔꯁꯤꯡ, ꯐꯦꯛꯇꯔꯤ꯫











