Low cost three-dimensional virtual model construction for remanufacturing industry

Research output: Contribution to conferencePaper

Abstract

Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Currently, the remanufacturing process is performed manually. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and introduce increasing consistency in quality, but also attract industries to design for remanufacture. In current work an automotive engine (in as received condition) is 3D reconstructed virtually, using the Visual Structure for Motion (VSFM) technique. These initial experiments assess the feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created which and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images are stitched together to create a virtual model of the engine with surface texture and colour. Small features of a few couple of millimetres in size are clearly visible in the 3D model.

Conference

ConferenceInternational Conference on Remanufacturing
Abbreviated titleICoR
CountrySweden
CityLinköping
Period24/10/1726/10/17
Internet address

Fingerprint

Engines
Costs
Industry
Bearings (structural)
Automation
Textures
Lead
Inspection
Productivity
Cameras
Color
Experiments

Keywords

  • remanufacturing
  • 3D reconstruction
  • machine vision
  • digital manufacturing

Cite this

@conference{c206789b06714315b769ccb02d921ec6,
title = "Low cost three-dimensional virtual model construction for remanufacturing industry",
abstract = "Remanufactured products can save up to 80{\%} of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Currently, the remanufacturing process is performed manually. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and introduce increasing consistency in quality, but also attract industries to design for remanufacture. In current work an automotive engine (in as received condition) is 3D reconstructed virtually, using the Visual Structure for Motion (VSFM) technique. These initial experiments assess the feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created which and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images are stitched together to create a virtual model of the engine with surface texture and colour. Small features of a few couple of millimetres in size are clearly visible in the 3D model.",
keywords = "remanufacturing, 3D reconstruction, machine vision, digital manufacturing",
author = "Siddiqi, {Muftooh UR} and Ijomah, {Winifred L.} and Dobie, {Gordon I.} and Muthair Hafeez and Pierce, {S. Gareth} and William Ion and Carmelo Mineo and MacLeod, {Charles N.}",
year = "2017",
month = "10",
day = "26",
language = "English",
note = "International Conference on Remanufacturing, ICoR ; Conference date: 24-10-2017 Through 26-10-2017",
url = "http://www.scot-reman.ac.uk/event/icor-2017/",

}

Siddiqi, MUR, Ijomah, WL, Dobie, GI, Hafeez, M, Pierce, SG, Ion, W, Mineo, C & MacLeod, CN 2017, 'Low cost three-dimensional virtual model construction for remanufacturing industry' Paper presented at International Conference on Remanufacturing, Linköping, Sweden, 24/10/17 - 26/10/17, .

Low cost three-dimensional virtual model construction for remanufacturing industry. / Siddiqi, Muftooh UR; Ijomah, Winifred L.; Dobie, Gordon I.; Hafeez, Muthair; Pierce, S. Gareth; Ion, William; Mineo, Carmelo; MacLeod, Charles N.

2017. Paper presented at International Conference on Remanufacturing, Linköping, Sweden.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Low cost three-dimensional virtual model construction for remanufacturing industry

AU - Siddiqi, Muftooh UR

AU - Ijomah, Winifred L.

AU - Dobie, Gordon I.

AU - Hafeez, Muthair

AU - Pierce, S. Gareth

AU - Ion, William

AU - Mineo, Carmelo

AU - MacLeod, Charles N.

PY - 2017/10/26

Y1 - 2017/10/26

N2 - Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Currently, the remanufacturing process is performed manually. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and introduce increasing consistency in quality, but also attract industries to design for remanufacture. In current work an automotive engine (in as received condition) is 3D reconstructed virtually, using the Visual Structure for Motion (VSFM) technique. These initial experiments assess the feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created which and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images are stitched together to create a virtual model of the engine with surface texture and colour. Small features of a few couple of millimetres in size are clearly visible in the 3D model.

AB - Remanufactured products can save up to 80% of production and energy costs whilst generating lower CO2 emissions. The key success factors for remanufacturing are quality, lead-time and cost. Extensive work within the industry and the detailed analysis of the remanufacturing process has shown that component inspection has significant bearing on overall productivity. Currently, the remanufacturing process is performed manually. Automation of remanufacturing process will not only decrease the number of non-remanufacturable components, through decreasing cost and introduce increasing consistency in quality, but also attract industries to design for remanufacture. In current work an automotive engine (in as received condition) is 3D reconstructed virtually, using the Visual Structure for Motion (VSFM) technique. These initial experiments assess the feasibility of using Videogrammetry to acquire pre-disassembly 3D model of the engine. Multiple 2D images were acquired and processed to find matching common features. The location of the camera was calculated through the matching features, producing a three-dimensional digital representation of the captured volume. A sparse point cloud was initially created which and was then converted into a dense 3D point cloud. The 3D point cloud was converted into a meshed model. 2D images are stitched together to create a virtual model of the engine with surface texture and colour. Small features of a few couple of millimetres in size are clearly visible in the 3D model.

KW - remanufacturing

KW - 3D reconstruction

KW - machine vision

KW - digital manufacturing

UR - http://www.remanufacturing-conference.com/

M3 - Paper

ER -

Siddiqi MUR, Ijomah WL, Dobie GI, Hafeez M, Pierce SG, Ion W et al. Low cost three-dimensional virtual model construction for remanufacturing industry. 2017. Paper presented at International Conference on Remanufacturing, Linköping, Sweden.