Laser Scanning Techniques and Mechanical Engineering Applications


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Artkın F.

ASES International Kayseri Scientific Research Conference, Kayseri, Turkey, 1 - 03 September 2023, vol.1, pp.254-258

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • City: Kayseri
  • Country: Turkey
  • Page Numbers: pp.254-258
  • Kocaeli University Affiliated: Yes

Abstract

Laser scanning is utilized in a variety of mechanical engineering applications, including

industrial, reverse engineering, and quality control. Mechanical dimensional examination is just

one of the several uses. In comparison to other standard metrology technologies and

methodologies, laser scanning technology enables for higher resolution and significantly faster

3D digitization. Laser scanning has become one of the most essential means of gathering

information on structures of importance to engineering surveys. Its key benefit over other

methods is the ability to generate a whole model of the structure rather than simply its selected

geometrical parameters. The output of scanning is a point cloud, which serves as the foundation for creating a 3D model, followed by its characteristic elements such as axes, edges, cross

sections, surface areas, and so on. When modeling of the complete structure is not required, or

is too difficult, it can be simplified to approximation of the desired aspects of the structure

alone, or retrieve selected information straight from the cloud. Regardless of the end purpose

or kind, a continuous model of the structure, rather than a discrete, dense point cloud, allows

for a significant reduction in the amount of data that must be saved and allows for the

comparison of periodic measurements. Artificial intelligence (AI) is becoming more common

as digital and mobile technology advances. The impact of machine learning has increased in

these industries thanks to new hardware and cloud-based solutions. The gathered 3D laser point

cloud data may be utilized for mapping, measurement, analysis, modeling, monitoring, virtual

reality, and other activities. The acquired 3D point cloud data and 3D modeling results may be

transformed into standard format and exported into file formats that can be recognized and

processed by other engineering applications. Machine learning has had a greater impact on these

areas since the launch of new hardware and cloud-based solutions.