3 D scanner integration with product development

  • Abstract
  • Keywords
  • References
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  • Abstract

    Purpose: The purpose of this paper is to give a basic understanding of the working and use of 3 D Scanner in reverse engineering, shape reconstruction and product designing. It discusses the use of 3 D Scanner in product development field and also presents a method to acquire the required data of existing component through which we can develop the new product.

    Design/methodology/approach: To understand the fundamental working principle of the scanner, an algorithm is discussed which shows the data collection procedure of the scanner. The obtained data is verified with existing CAD data with the help of software, and an example is also discussed to explain the process.

    Findings: This study shows that the integration of scanner technology with product development cycle will help to improve the development process of any product, as this technology provides benefits through reduction in time, money and resources.

    Research limitations/implications: The speed and accuracy of the Scanner depends upon the method adopted to capture the data.

    Practical implications – Reverse engineering is a process of change an existing product into a new product. Development of an existing product we required the three-dimensional data of the product. The data acquisition process is critical and time-consuming. The design expert uses different approaches to collect the necessary parameters. This study discusses one of the data acquisition technology, i.e. 3-dimensional scanner.

    Originality/value – In this article, we are discussing one of the original methods to show the integration of scanner technology with product development.


  • Keywords

    3 D Scanner; Data Acquisition; Product Designing; Product Development; Product Redesigning; Reverse Engineering; Scanner Algorithm.

  • References

      [1] Genta G, Minetola P, Barbato G. Calibration procedure for a laser triangulation scanner with uncertainty evaluation. Opt Lasers Eng. 2016; 86:11-19. doi:10.1016/j.optlaseng.2016.05.005.

      [2] Asahina D, Taylor MA. Geometry of irregular particles: Direct surface measurements by 3-D laser scanner. Powder Technol. 2011; 213(1):70-78. doi:10.1016/j.powtec.2011.07.008.

      [3] De-hai Z, Yan-qin L, Gui-zhong X, Yong Y, Liang-wen W. Reverse engineering application of 3D optical scanning technology. J Appl Opt. 2015; 36(4):519-525. doi:10.5768/JAO201536.0401005.

      [4] Khosravi M., Mosaddeghi F., Oveisi, M., khodayari-b, A., Aerodynamic drag reduction of heavy vehicles using append devices by CFD analysis, Journal of Central South University, Volume 22, 2015, pp 4645–4652

      [5] Rashidizad H, Rahimi A. Building Three-Dimensional Scanner Based on Structured Light Technique Using Fringe Projection Pattern. J Comput Inf Sci Eng. 2014; 14(3):35001. doi:10.1115/1.4027213.

      [6] Page D, Koschan A, Abidi M. Methodologies and Techniques for Reverse Engineering–The Potential for Automation with 3-D Laser Scanners. In: Raja V, Fernandes JK, eds. Reverse Engineering. London: Springer London; 2008:11-32. Doi: 10.1007/978-1-84628-856-2_2.

      [7] Emde M, Rossmann J. Validating a simulation of a single ray based laser scanner used in mobile robot applications. In: ROSE 2013 - 2013 IEEE International Symposium on Robotic and Sensors Environments, Proceedings. ; 2013:55-60. doi:10.1109/ROSE.2013.6698418.

      [8] Paoli A, Razionale A, Barone S, Maggini M. A robotic system for 3D optical scanning of large surfaces. In: Innovative Developments in Design and Manufacturing. CRC Press; 2009:145-150. doi:10.1201/9780203859476.ch20.

      [9] Dhillon DS, Govindu VM. Geometric and radiometric estimation in a structured-light 3D scanner. Mach Vis Appl. 2015; 26(2-3):339-352. Doi: 10.1007/s00138-015-0667-0.

      [10] Kumar L, Kumar V, Haleem A. Rapid Prototyping Technology for New Product Development. IJISET - Int J Innov Sci Eng Technol. 2016; 3 (1):287-292. http://ijiset.com/vol3/v3s1/IJISET_V3_I1_39.pdf.

      [11] Kumar L, Tanveer Q, Kumar V, Javaid M, Haleem A. Developing low cost 3 D printer. Int J Appl Sci Eng Res. 2016; 5(6):433-447. doi:10.6088/ijaser.05042.

      [12] Khodayari Bavil, A., Razavi, S.E., on the thermo-flow behavior in a rectangular channel with skewed circular ribs, Mechanics & Industry, 18 2 (2017) 225, https://doi.org/10.1051/meca/2016057.

      [13] Yang B, Zang Y. Automated registration of dense terrestrial laser-scanning point clouds using curves. ISPRS J Photogramm Remote Sens. 2014; 95:109-121. doi:10.1016/j.isprsjprs.2014.05.012.

      [14] Wang H, Wang C, Luo H, et al. Object detection in terrestrial laser scanning point clouds based on hough forest. IEEE Geosci Remote Sens Lett. 2014; 11(10):1807-1811. doi:10.1109/LGRS.2014.2309965.

      [15] Ilyas IP. 3D Machine Vision and Additive Manufacturing: Concurrent Product and Process Development. IOP Conf Ser Mater Sci Eng. 2013; 46(1):12029. doi:10.1088/1757-899X/46/1/012029.

      [16] Kovacs L, Zimmermann A, Brockmann G, et al. Accuracy and precision of the three-dimensional assessment of the facial surface using a 3-D laser scanner. IEEE Trans Med Imaging. 2006; 25(6):742-754. doi:10.1109/TMI.2006.873624.




Article ID: 11690
DOI: 10.14419/ijet.v7i2.13.11690

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