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Design and Fabrication of Machine
Vision Setup to avoid alignment
failure in Space Launch Vehicle
1
LAUNCH VEHICLES OF ISRO
Sounding Rocket
SLV-3
ASLV
PSLV
GSLV-MkII
GSLV-MkIII
2
GSLV-Mk III
S 200 STRAP ON
MOTORS 200 tons of
propellant each.
(100s of burning time)
L110 STAGE
C25 STAGE
ENCAPSULATED
ASSEMBLY
PSLV
3
✓In this project, it is planned to use machine vision technique to
find alignment errors of space launch vehicle.
✓A system is proposed to inspect misalignment of the Space
Launch vehicle along with its strap on boosters via machine
vision system, which has many advantages over the traditional
methods.
4
✓It is planned to select India’s GSLV Mk- III Version of
rocket with 2 strap-on boosters.
✓ Before executing the project it is decided to make a
prototype model and conduct the experiments in it.
✓Then planned to choose suitable material and scale of
prototype as per working convenience.
5
M5 screw
Wood screw
welded
DETAIL- A
M5 Nut
fixing
Location
A
M5 screw
fixing
Location
PART- 4
PART- 4
1
PART-1
PART-3
DETAILED PART DRAWING OF GSLV Mk-3
LAUNCH VEHICLE PROTOTYPE
PART-3
PART-4
MACHINING FINISH IN MICRONS
ASSEMBLY
CHAMFER 1mm x 45°
REMOVE SHARP EDGES AND BURRS
Adjustable
Screw Joint
ALL DIMENSION ARE IN MILLIMETERS
UNLESS OTHERWISE SHOWN
PART-2- 2Nos.
PART-2
PART-1
DRG.No:
PLAN
ASK IF IN DOUBT
ELEVATION
PART-2
DO NOT SCALE THE DRAWING
7
8
Test Setup Arrangement
Capturing the image
Boundary tracing
Image analysis
Result
12
13
Set up For side View Set up for Front View
Setup for Top View
14
Front View
Right side View Left side View
Top View
•The initial pixel in higher contrast
difference region is selected to start
tracking the boundary.
• The selected pixel is compared
with neighbourhood pixels.
• If the grayscale value of one of
these eight pixels is higher than its
concentration, then that pixel
becomes the new boundary point.
15
16
17
•It is possible to monitor the launch vehicle continuously after
each and every operations.
• Compared with the traditional methods, this method is fast
and accurate.
•It is a Non contact, online method to check alignment.
•Future work in this research by a MATLAB based algorithm
enabled image processing, the orientation of angle and
misalignment of the Space Launch vehicle will be inspected
much more perfectly.
18
19
20

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Design and fabrication of machine vision setup to avoid alignment failure in space launch vehicle

  • 1. Design and Fabrication of Machine Vision Setup to avoid alignment failure in Space Launch Vehicle 1
  • 2. LAUNCH VEHICLES OF ISRO Sounding Rocket SLV-3 ASLV PSLV GSLV-MkII GSLV-MkIII 2
  • 3. GSLV-Mk III S 200 STRAP ON MOTORS 200 tons of propellant each. (100s of burning time) L110 STAGE C25 STAGE ENCAPSULATED ASSEMBLY PSLV 3
  • 4. ✓In this project, it is planned to use machine vision technique to find alignment errors of space launch vehicle. ✓A system is proposed to inspect misalignment of the Space Launch vehicle along with its strap on boosters via machine vision system, which has many advantages over the traditional methods. 4
  • 5. ✓It is planned to select India’s GSLV Mk- III Version of rocket with 2 strap-on boosters. ✓ Before executing the project it is decided to make a prototype model and conduct the experiments in it. ✓Then planned to choose suitable material and scale of prototype as per working convenience. 5
  • 6. M5 screw Wood screw welded DETAIL- A M5 Nut fixing Location A M5 screw fixing Location PART- 4 PART- 4 1 PART-1 PART-3 DETAILED PART DRAWING OF GSLV Mk-3 LAUNCH VEHICLE PROTOTYPE PART-3 PART-4 MACHINING FINISH IN MICRONS ASSEMBLY CHAMFER 1mm x 45° REMOVE SHARP EDGES AND BURRS Adjustable Screw Joint ALL DIMENSION ARE IN MILLIMETERS UNLESS OTHERWISE SHOWN PART-2- 2Nos. PART-2 PART-1 DRG.No: PLAN ASK IF IN DOUBT ELEVATION PART-2 DO NOT SCALE THE DRAWING 7
  • 7. 8
  • 8. Test Setup Arrangement Capturing the image Boundary tracing Image analysis Result 12
  • 9. 13 Set up For side View Set up for Front View Setup for Top View
  • 10. 14 Front View Right side View Left side View Top View
  • 11. •The initial pixel in higher contrast difference region is selected to start tracking the boundary. • The selected pixel is compared with neighbourhood pixels. • If the grayscale value of one of these eight pixels is higher than its concentration, then that pixel becomes the new boundary point. 15
  • 12. 16
  • 13. 17
  • 14. •It is possible to monitor the launch vehicle continuously after each and every operations. • Compared with the traditional methods, this method is fast and accurate. •It is a Non contact, online method to check alignment. •Future work in this research by a MATLAB based algorithm enabled image processing, the orientation of angle and misalignment of the Space Launch vehicle will be inspected much more perfectly. 18
  • 15. 19
  • 16. 20