Indian Army Armored Vehicles

Advaidhya Tiwari

New Member
Joined
Aug 2, 2018
Messages
1,579
Likes
1,443
Knew it was coming but

Ffs

And yet they can only find the money to order 248 arjuns???

Army is a lost cause. Corrupt to the core, sabotaged every single indigenous project now
The tank T90 is made in India. India has made the engine, armour, gun and ammunition for T90. Whatever we import from Russia, we only get technology transfers for upgrading the current T90 of India. There is nothing to make you call T90 as import. Hence, there is no reason to shout for Arjun tanks. When T90 is made in India Arjun tanks have very little requirement
 

bhramos

New Member
Joined
Mar 21, 2009
Messages
25,644
Likes
37,250
Country flag
Problem is T-90 interiors is cramped and the foreign APS is way too expensive . Local development has started via startup challenges being issued for workable concepts . Pics r of foreign proposals for APS.

 

bhramos

New Member
Joined
Mar 21, 2009
Messages
25,644
Likes
37,250
Country flag
Mud (Heavy Rainfall,Jungle) Desert, High temp in day, low temp in the night (Arid) High Altitude (Low temp, rain/snow fall or may be not) Canal crossing/beach assault.... In all situations BMP-2 can give it's 100%

 

shuvo@y2k10

New Member
Joined
Apr 4, 2010
Messages
2,653
Likes
6,710
Country flag
I think instead of retiring 2400 T-72 by the year 2030 another cost effective solution is to refurbish their hull with add-on modular Kanchan armour and fit a unmanned turret making them similar to armata. DRDO is already working on a unmanned turret platform and these old T-72s can benefit from it. Ukraine is working on a similar proposal of upgrading the hull of their T-72 and T-84 oplot tank with this unmanned turret.



http://data:image/jpeg;base64,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

This should be in addition to the proposed 3 man FMBT tank/ and or future versions of Arjun.
 
Last edited:

Enquirer

New Member
Joined
Mar 20, 2018
Messages
3,567
Likes
9,357
I think instead of retiring 2400 T-72 by the year 2030 another cost effective solution is to refurbish their hull with add-on modular Kanchan armour and fit a unmanned turret making them similar to armata. DRDO is already working on a unmanned turret platform and these old T-72s can benefit from it. Ukraine is working on a similar proposal of upgrading the hull of their T-72 and T-84 oplot tank with this unmanned turret.



http://data:image/jpeg;base64,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

This should be in addition to the proposed 3 man FMBT tank/ and or future versions of Arjun.
Instead they should make the entire tank autonomous (by fitting the MUNTRA vectronics into T72).
That way 2000+ autonomous tanks will become a massive force multiplier. If few old tanks breakdown in battle - no harm done! The sheer numbers will make the Pakis shit in shalwars!
 

shuvo@y2k10

New Member
Joined
Apr 4, 2010
Messages
2,653
Likes
6,710
Country flag
Bhai Muntra vectronics (as of now) is for survelliance recce and nbc warfare only. It cannot take the role of a tank and it is only fitted on BMP chassis and is meant to be remote controlled via a radio link which cannot be more than 1-1.5 km. As far as tanks are concerned they are meant to be fully autonomous and for that to be implemented in a robotic platform is complicated and will take few decades. So far no country can acheive a fully autonomous robotic MBT as of now.
Unmanned turret however is a thing which can be implemented by present day technology (ex; armata) and since IA loves Ruski maal this a inovative upgrade concept for the T-72 which is nearing its end life.
 

Bleh

Laughing member
New Member
Joined
Nov 23, 2017
Messages
6,239
Likes
26,077
Country flag
Instead they should make the entire tank autonomous (by fitting the MUNTRA vectronics into T72).
That way 2000+ autonomous tanks will become a massive force multiplier. If few old tanks breakdown in battle - no harm done! The sheer numbers will make the Pakis shit in shalwars!
Bhai Muntra vectronics (as of now) is for survelliance recce and nbc warfare only. It cannot take the role of a tank and it is only fitted on BMP chassis and is meant to be remote controlled via a radio link which cannot be more than 1-1.5 km. As far as tanks are concerned they are meant to be fully autonomous and for that to be implemented in a robotic platform is complicated and will take few decades. So far no country can acheive a fully autonomous robotic MBT as of now.
Unmanned turret however is a thing which can be implemented by present day technology (ex; armata) and since IA loves Ruski maal this a inovative upgrade concept for the T-72 which is nearing its end life.
Yep... Why just unmanned turret when you can have fully remote-controlled tank! We should keep working on fully autonomous being run by the crew in a simulator like chamber, being followed by command & control versions that maintain data-link connection.

I don't think there gonna do it though, the hulls will probably make up Namica & SAM launchers & shit like that (BMP is not a well protected platform).
 

Enquirer

New Member
Joined
Mar 20, 2018
Messages
3,567
Likes
9,357
Bhai Muntra vectronics (as of now) is for survelliance recce and nbc warfare only.
That makes no sense at all.
Vectronics is just about the 'vehicle'. Muntra robotic system and vectronics could be easily 'imported' into T72.

It cannot take the role of a tank and it is only fitted on BMP chassis and is meant to be remote controlled via a radio link which cannot be more than 1-1.5 km.
That's because the 'base station' for Muntra is also another BMP trailing behind Muntra! If communication were via a UAV or SAT, then autonomous T72 (Muntra too) should be able to perform autonomously for several 100s of kms!

As far as tanks are concerned they are meant to be fully autonomous and for that to be implemented in a robotic platform is complicated and will take few decades. So far no country can acheive a fully autonomous robotic MBT as of now.
Again, it makes no sense at all!
If UAVs & UCAVs are possible, why wouldn't unmanned tanks be possible??
The reason there's not much 'advancements' in tank technology is that tank battles are considered a thing of past by western countries. US stopped making tanks decades ago. There's no new tank design on table!! They intend to keep Abrams as long as it'll run. In fact the gas turbine that powers Abrams has also stopped manufacturing decades ago....they keep 'maintaining' the engines and keep it going!
India however still has tanks as a significant part of its battle strategy....and will have it for the next few decades!

Unmanned turret however is a thing which can be implemented by present day technology (ex; armata) and since IA loves Ruski maal this a inovative upgrade concept for the T-72 which is nearing its end life.
Re-engineering a 50yr old tank...just to move the gunner & commander out of the turret gives no tactical advantage. The tank will still be 60,70 or 80 yr old at that time....that is bound to break down more often in the battle................as such making it autonomous (at low price) will give massive advantage while not risking soldiers lives!
 
Last edited:

Advaidhya Tiwari

New Member
Joined
Aug 2, 2018
Messages
1,579
Likes
1,443
Re-engineering a 50yr old tank...just to move the gunner & commander out of the turret gives no tactical advantage. The tank will still be 60,70 or 80 yr old at that time....that is bound to break down more often in the battle................as such making it autonomous (at low price) will give massive advantage while not risking soldiers lives!
Tanks have significant costs in terms of its armour, fire control etc. So, the engine and transmission cost is only a small fraction. It is more prudent to change the engine and transmission rather than change the tank itself. The T72 is 1970s tank and the engine will degrade over time but the armour and other parts are holding well. It is best t change the engine without changing entire tank. T72 is also quite light and perfectly suited for extreme mountainous terrain for quick mobility.
 

Enquirer

New Member
Joined
Mar 20, 2018
Messages
3,567
Likes
9,357
Tanks have significant costs in terms of its armour, fire control etc. So, the engine and transmission cost is only a small fraction. It is more prudent to change the engine and transmission rather than change the tank itself. The T72 is 1970s tank and the engine will degrade over time but the armour and other parts are holding well. It is best t change the engine without changing entire tank. T72 is also quite light and perfectly suited for extreme mountainous terrain for quick mobility.
None of those prevent making T72 an unmanned tank!
Unmanned tanks will have significant advantages over manned ones. Not putting soldiers lives at risk is an obvious one. Another important advantage is that unmanned ones can be driven into strategic locations (that could be in cold mountains) and left there without the need to supply food & personnel rotation for a long time - these could be activated whenever necessary! The 'tail' requirements will be much much less.
 

Advaidhya Tiwari

New Member
Joined
Aug 2, 2018
Messages
1,579
Likes
1,443
None of those prevent making T72 an unmanned tank!
Unmanned tanks will have significant advantages over manned ones. Not putting soldiers lives at risk is an obvious one. Another important advantage is that unmanned ones can be driven into strategic locations (that could be in cold mountains) and left there without the need to supply food & personnel rotation for a long time - these could be activated whenever necessary! The 'tail' requirements will be much much less.
True. But the fire control and navigation in difficult terrain will be a big task that will need advanced AI. Do we have that much advancement yet? Drones can be automated because the sky is generally clean and does not have any obstacles. But maneuvering these obstacles is the hardest part. We can easily find out things like trees, rocks etc. But the problems come in:
1)Finding bogs and marshland
2)Charting a path by navigating via obstacles

Firing is also difficult as human instincts and thinking is much more complex than what algorithms we can write

Until such advanced AI is made, don't expect unmanned tanks.in difficult regions. Also, places where people can't go, there even refueling will be difficult.
 
Last edited:

Vorschlaghammer

New Member
Joined
May 30, 2017
Messages
337
Likes
589
Country flag
Tanks are big heavy complex vehicles. They need maintenance. Tankers/Tankies make their vehicle their home when deployed. Doctrinally speaking, having a human loader is partially justified as an extra pair of hands to maintain the tank. Autonomous drone tanks will still need someone else to come in and perform tasks like fire control adjustment, main gun boresighting, engine maintenance, track tensioning, ammo restock, coolant top up, and many more. Tanks are complex war machines, and need to be maintained constantly.

As for the combat aspect, I don't think sensors and actuators can replace human crews yet, when faced with constantly changing battlefield situation. Mine clearing, local flora based camouflaging, defensive entrenchment preparations are just some extra examples.
 

Enquirer

New Member
Joined
Mar 20, 2018
Messages
3,567
Likes
9,357
True. But the fire control and navigation in difficult terrain will be a big task that will need advanced AI. Do we have that much advancement yet? Drones can be automated because the sky is generally clean and does not have any obstacles. But maneuvering these obstacles is the hardest part. We can easily find out things like trees, rocks etc. But the problems come in:
1)Finding bogs and marshland
2)Charting a path by navigating via obstacles

Firing is also difficult as human instincts and thinking is much more complex than what algorithms we can write

Until such advanced AI is made, don't expect unmanned tanks.in difficult regions. Also, places where people can't go, there even refueling will be difficult.
None of that is a problem.
Muntra is not an AI based armored vehicle but a remotely-controlled vehicle. Similarly T72s can be made as remotely-controlled!

When tank regiments charge towards enemy, they are not figuring out their way on the charge! The paths are preset...with years of terrain evaluation. They already know every bog, ravine & shrub on the way! Also, obstacles will be visible to the 'remote driver' that he/she can maneuver around.
 

Enquirer

New Member
Joined
Mar 20, 2018
Messages
3,567
Likes
9,357
Tanks are big heavy complex vehicles. They need maintenance. Tankers/Tankies make their vehicle their home when deployed. Doctrinally speaking, having a human loader is partially justified as an extra pair of hands to maintain the tank. Autonomous drone tanks will still need someone else to come in and perform tasks like fire control adjustment, main gun boresighting, engine maintenance, track tensioning, ammo restock, coolant top up, and many more. Tanks are complex war machines, and need to be maintained constantly.

As for the combat aspect, I don't think sensors and actuators can replace human crews yet, when faced with constantly changing battlefield situation. Mine clearing, local flora based camouflaging, defensive entrenchment preparations are just some extra examples.
None of that precludes them for deploying for 24-48 hour period to get a tactical advantage over the enemy!
If a unmanned tank breaks down, there's not need to rush to fix it as no human lives are at risk!
 
Top