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이미지 프로세싱을 통한 도장 전처리면 측정시스템에 관한 연구

A Study on the Measurement System of Pre-Painting Surface Roughness Through Image Processing

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주제분류기계공학

초록

Painting pretreatment is an important task in determining the life of painting as it removes rust or foreign substances from the painting surface and gives adhesion between the painting surface and the painting surface. Since painting pretreatment is an important task, IMO strictly requires that the painting pretreatment surface be maintained at a Sa 2.5 grade and the surface roughness is 30μm~75μm. Painting pre-processing is an important task that determines the lifespan of a painting, but it is done through visual inspection by the inspector, and the quality varies depending on the inspector. In this study, in order to develop a quality measurement system for the painting pretreatment surface, Matlab2023b was used to determine the range of appropriate quality brightness by comparing the brightness of the painting pretreatment surface and surface roughness.

Abstract

Painting pretreatment is an important task in determining the life of painting as it removes rust or foreign substances from the painting surface and gives adhesion between the painting surface and the painting surface. Since painting pretreatment is an important task, IMO strictly requires that the painting pretreatment surface be maintained at a Sa 2.5 grade and the surface roughness is 30μm~75μm. Painting pre-processing is an important task that determines the lifespan of a painting, but it is done through visual inspection by the inspector, and the quality varies depending on the inspector. In this study, in order to develop a quality measurement system for the painting pretreatment surface, Matlab2023b was used to determine the range of appropriate quality brightness by comparing the brightness of the painting pretreatment surface and surface roughness.

참고문헌 (9)

  1. J. H. Kim, "A Study on the mechanical Part for Automating Pre-painting Work in the Shipbuilding Block internal", The Society of Naval Architects of Korea a collection of academic conferences, pp.1335~1339 (2012)
  2. H. J. Bae, "A Study on Optimization of Blasting-Related Operation Parameters", The Korean Society of Mechanical Engineers Spring and Autumn Conference, pp.1260~1265 (2013)
  3. "KS M ISO 8501-1, Preparation of steel substrates before application of paints and related products — Visual assessment of surface cleanliness — Parti: Rust grades and preparation grades of uncoated steel substrates and of steel substrates after overall removal of previous coatings", 3~ (2007)
  4. J. Y. Kim, "Characteristics of Asphalt Pavement Images and Enhanced Algorithm for Noise Reduction", International JOURNAL of HIGHWAY Engineering, 3(4), pp.137~146 (2001)
  5. K. S. Ban, "A Study on Automated Outer Diameter Measurement System for Axisymmetric Automotive Part", Journal of the Korean Society of Manufacturing Process Engineers, 12(3), pp.61~68 (2013)
  6. M. J. Jun, "Image Histogram Equalization Based on Gaussian Mixture Model", Journal of Korea Multimedia Society, 15(6), pp.748~760 (2012)
  7. I. S. Choi, "Analysis of Surface Roughness Parameters on Aged Gauge Blocks", Journal of the Korean Society of Mechanical Technology, 23(5), pp.932~937 (2021)
  8. "KS B ISO 13565-1, Geometrical Product Specifications (GPS) — Surface texture : Profile method; Surfaces having stratified functional properties — Part 1 : filtering and general measurement conditions", 2~ (2006)
  9. B. S. Kang, "Determining Input Values for Dragging Anchor Assessments Using Regression Analysis", Journal of the Korean Society of Marine Environment and Safety, 27(6), pp.822~831 (2021)

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