1.පියවි ඇසට නොපෙනෙන කුඩා වස්තුවල ප්රමාණ මැනීමට නැනෝ
මීටර යන පරිමාණය යොදා ගනී.නැනෝ මීටරයක් යනු මීටරයෙන් බිලියනයෙන්
පංගුවකි.(0.00000000 lm).
2.මිනිස් අවශ්යතා සදහා ඉතා කුඩා නැනෝ අංශු භාවිතා
කර,විවිධ නිෂ්පාදන හා ක්රියාකාරි පද්ධති නිර්මාණය කිරීම නැනෝ තාක්ෂණයේදී සිදු
කෙරේ.
3. නැනෝ මීටර් 1-100 ත් අතර පවතින අංශු මේ සදහා යොදා
ගැනෙයි.
4. නැනෝ තාක්ෂණයේදී නැනෝ අංශු අවශ්යතාවයට උචිත පරිදි ක්රමවත්ව
ස්ථානගත කර ගැනීමෙන් උසස් ගුණ සහිත නැනෝ ලෝහ, නැනෝ බහු අවයවක, විවිධ ඉලක්ක සොයා යන
ඖෂධ වැනි නිෂ්පාදන මෙන්ම නැනෝ රොබෝවරු, නැනෝ පරිගණක වැනි කාර්යක්ෂම ක්රියාකාරි
පද්ධති(අණුක යන්ත්ර) ද නිර්මාණ කළ හැකිය.
නැනෝ තාක්ෂණයේ පියා
නැනෝ තාක්ෂණය පිළිබදව මුලින්ම ලොවට ඉදිරිපත් කළ් 1959
වසරේදි නොබෙල් ත්යාගලාභි භෞතික විද්යඥයකු වන රිඩච් ෆේමන්ය.(1918-1988)
ජීවි සෛල අතිශය කුඩා වුවද ඉතා කාර්යක්ෂම බවත් එවැනි කුඩා
ප්රමාණයෙන් නිෂ්පාදනය සිදු කළහොත් විශ්මයජනක නිර්මාණ කළ හැකි බවත් ඔහු ප්රකාශ කළේය.
කෝනල් විශ්ව විද්යාලයේ සහ කැලිෆෝනීයා තාක්ෂණික ආයතනයේ
භෞතික විද්යා මහාචාර්යවරයා විය.
ස්වභාවික නැනෝ පද්ධති
1. ජීවි සෛලට ස්වාභාවික නැනෝ පද්ධතියකට කදිම නිදසුනකි.
2. ජීවි සෛලයක විවිධ ඉන්ද්රයිකා විවිධ කාර්යයන් සදහා
හැඩගැසි ඇති කුඩා යන්ත්ර ලෙස ක්රියාකාරිවන අතර සෛලය ස්වභාවික නැනෝ කම්හලක් ලෙස සැලකිය
හැකිය.
3. ජීවයේ මුලික ඒකකය වන මෙම කුඩා සෛලය තුළ සිදුවන ජීව ක්රියා
රාශියකි.ශ්වසනය,බහිස්රාවය,පෝෂණය,වර්ධනය හා විකසනය ඉන් සමහරකි. මෙම ක්රියාවලි
සියල්ලම නැනෝ පරිමාණයේ ක්රියාවලි වේ.
4. ශාක සෛලවල හරිතලව තුල සිදුවන ප්රභාසංස්ලේෂණ ක්රියාවලියේදී
ආලෝක ශක්තිය උපයෝගි කරගෙන කාබන්ඩයොක්සයිඩ් හා ජලය, කාබෝහයිඩ්රේට හා මක්සිජන් බවට
පත් කෙරේ .මෙම ක්රියාවලියද නැනෝ පරිමාණයේ ක්රියාවලියකි.
කෘත්රීම
නැනෝ පද්ධති
1. අතීතයේ භාවිතා කළ පරිගණකවල වඩා අද භාවිතාවන පරිගණක ප්රමාණයෙන්
කුඩාය. එමෙන්ම දුරකථනවල ප්රමාණයද ක්රමයෙන් කුඩා වෙමින් අද වන විට ඉතා කුඩා ජංගම
දුරකථන නිෂ්පාදනය කර ඇත. මෙම ක්රමය "ඉහළ සිට පහළට" (top-down) ළගා වීම ලෙස හදුන්වයි.
2. එහෙත් ෆෝමන් පැවසුවේ එය නැනෝ මට්ටමේ කොටස්වලින් පටන් ගෙන
අවසානය කර ළගා විය යුතු බවයි. පහළ සිට ඉහළට (bottom- up) ළග වීම ලෙස හදුන්වයි.
3. මෙයින් අදහස් වන්නේ නිෂ්පාදන ක්රියාවලියන් නැනෝ
පරිමාණයේ කොටස්වලින් ආරම්භ කර සිදු කළ විට වඩාත් උසස් මට්ටමේ නිෂ්පාදනයක් කළ හැකි
බවයි.
4. සෑම භෞතික නිෂ්පාදනයකදීම සිදු වන්නේ, පදාර්ථය සාදාලන
කුඩා අංශු (පරමාණු හෝ අණු) කිසියම් අවශ්ය ආකාරයකට සකස් කර ගැනීමයි. අද භාවිතා කර
විශාල පදාර්ථ සම්බන්ධ නිෂ්පාදන ක්රමවලදි,පරමාණු අවශ්ය නියමිත රටාවට ස්ථාන ගත
වන්නේ නැත.මේ ක්රමානුකූල නොවන අභ්යන්තරික පරමාණුක සැකැස්ම නිසා මෙම නිෂ්පාදන
කාලයක් සමඟ පැළිම් සහ ඉරි තැලීම්වලට ලක්වේ.
5. එබැවින් නැනෝ තාක්ෂණ භාවිතයෙන් පරමාණු හෝ අණු නිවැරදිව
ස්ථානගත කළ හැකි බැවින් වඩාත් උසස් නිෂ්පාදනයක් සිදු කළ හැකිය. මේ සඳහා නැනෝ
පරිමාණයේ යන්ත්ර අවශ්යය. ඒවා තවමත් පර්යේෂණ මට්ටමේ පවතී.
6. වර්තමානයේ නැනෝ තාක්ෂණ කටයුතු සඳහා බහුලවම යොදා ගන්නා
මූලද්රව්යයක් වන්නේ කාබන්ය.
නැනෝ තාක්ෂණයේ භාවිත
ලෝකයේ දැනට ඉතිරිව ඇති පෙට්රෝලියම් ඉන්ධන තවත් වසර
කිහිපයකට පමණක් ප්රමාණවත් වීමත්, පොසිල ඉන්ධන දහනයෙන් නිකුත්වන හරිතාගාර වායු,
පෘථිවිය උණුසුම් වීම කෙරෙහි බලපා තිබීමත්, නිසා වෙනත් බලශක්ති ප්රභව කෙරෙහි මෙ කල
වැඩි වශයෙන් අවධානය යොමු වී ඇත.
නැනෝ තාක්ෂණය මගින්, කාර්යක්ෂමතාව අතින් ඉහළ විද්Hq;a ප්රභව නිපදවීමත්,පිරිමැසුම්දායක
ලෙස බල ශක්තිය භාවිත කළ හැකි ක්රම හදුන්වා දීමත් සිදු වේ. 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)
(a) සූර්ය කෝෂ
සූර්ය කෝෂ අර්ධ සන්නායක ද්රව්ය යොදා සකස් කර ඇත. දැනට
මේ සදහා භාවිත කරන අර්ධ සන්නායක මඟින් අවශෝෂණය කර ගත හැක්කේ සූර්ය ශක්තියෙන් සුළු
කොටසක් පමණකි.එනම් 14 % පමණ වේ.
නැනෝ තාක්ෂණය භාවිත කර නිපදවනු ලබන අර්ධ සන්නායක මඟින් සූර්ය
ශක්තියෙන් වැඩි කොටසක් අවශෝෂණය කර ගත
හැකිවේ.තවද එ මඟින් සූර්ය කෝෂවල අභ්යන්තර විද්Hq;a සන්නායකතාවද,ඉහළ මට්ටමක ගෙන එනු ලබයි.
(b) හයිඩ්රජන් ඉන්ධන කෝෂ
හයිඩ්රජන් ඉන්ධන තුළ විද්Hq;a රසායනික ක්රියාවලියක් මඟින් විද්Hq;a ශක්තිය ජනනය කරයි.එහෙත් මෙම කෝෂය සඳහා
හයිඩ්රජන් ගබඩා කිරීම ප්රායෝගික ගැටලුවක් වේ. නැනෝ ද්රව්යවල මතුපිට වර්ලථලය
ඉතා අධික වීම නිසා කාබන් නැනෝ නළ යොදා හයිඩ්රජන් ගබඩා කිරීම විසදුමකි.
(c) පුනරාරෝපණ විදුලි කෝෂ
වඩාත් කාර්යක්ෂම පුනරාරෝපණ විදුලි කෝෂය වන්නේ ලිතියම්
අයන කෝෂයයි.භාවිතයට නොගන්නා විටදි පවා කාලය සමඟ ආරෝපණය ක්ෂ වී යාම පුනරාරෝපණ
විදුලි කෝෂවල ප්රධාන දුර්වලතාවයි.
ලිතියම් නැනෝ සංයුක්ත ද්රව්ය (Nano Composites) භාවිත කිරිමෙන් ඉහත කෝෂයේ කාර්යක්ෂමතාව
වැඩි කර ගත හැකි අතර බැටරිය භාවිතයට නොගන්නා විට සිදුවන ශක්ති හානියද වළකාලයි.
(d) දෙමුහුම් විද්Hq;a වාහන(Hybrid Electric Vehicles)
මෙය වාහන අභ්යන්තර දහන එන්ජිමෙන් සහ විද්Hq;a මෝටර මඟින් ලබා ගන්නා බලවල
සුසංයෝගයෙන් ක්රියාත්මක වේ.නැනෝ තාක්ෂණය භාවිතයෙන් නිපදවෙන සුපිරි ධාරිත්රක මෙම
වාහනවල විද්Hq;a ශක්තිය ගබඩා
කිරීම සඳහා යොදා ගත හැකිය.
(e) තාප පරිවාරක
තාප ශක්තිය අපතේයාම වළක්වා ගැනීම තාප පරිවාරක මඟින්
සිදුවේ.නැනෝ තාප පරිවාරක ද්රව්යවල පහත සදහන් ගුණාංග ඇත.
1. සාමාන්ය තාප පරිවාරකවලට වඩා කිහිප ගුණයකින් වැඩි තාප
පරිවාරක ගුණයක් තිබීම.
2. ඉතා තුනී වීම
3. සෙරමික් නැනෝ අංශු ,කාබන් නැනෝ නල වැනි නැනෝ ද්රව්ය
තුළද වාතය සිර කිරිමෙන් නැනෝ තාප පරිවාරක නිපදවා ඇත.
(f) විද්යුත් සම්ප්රේෂණයේදී
විද්යුත් සම්ප්රේෂණයේදී සන්නායක කම්බිවල පවත්නා ප්රතිරෝධක
නිසා විද්Hq;a ශක්තිය තාපය ලෙස
බෙහෙවින් අපතේ යයි. මීට පිළියම් ලෙස නැනෝ තාක්ෂණයෙන් නිර්මාණය කරන කාර්යක්ෂම සන්නායක
හා සුපිරි සන්නායක යොදා ගත හැකිය.
(g) නැනෝ සුපිරි ධාරිත්රක
උපකරණ හා ශල්යාගාර සෞඛ්යය ආරක්ෂිතව පවත්වා ගැනීමටත්
මෙම ආලේප ප්රයෝජනවත් වනු ඇත.
මේ සදහා ටයිටේයිනම් ඩයොක්සයිඩ් හා රීදීවල නැනෝ අංශු
භාවිත වේ.
(i)
නැනෝ පෙරහන්ය
සටහන: නැනෝ (නිනිති) තාක්ෂණය
පිළිබද වැඩි විස්තර සහිත සිංහල පොතක් මෙම Link එකෙන් ඔබට කියවිය (බාගත) හැකිය.
http://scienceforallofus.blogspot.com/2011/01/book-on-nanotechnology.html
2 comments:
People found the atom bypassing nano. What made them to miss nano!!!
නැනෝ තාක්ෂණය යනු කුමක්ද ~ ප්රභාස්වර >>>>> Download Now
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