The Data Combining Method and the Forming Control Algorithm from the 3D Scanning Machine and Processing in the SLS Machine

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Abstract:

This paper presents the data structure combining from 3D laser scanners direction, for processing rapid prototyping by SLS machine. Formed data will have special structure for combining with the rapid prototyping machine and processing will be more directly and easily. Control algorithm automatically identifies the images from the scanning data.

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Key Engineering Materials (Volumes 656-657)

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725-728

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July 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Alan Walford, A New Way to 3D Scan Photo-based Scanning Saves Time and Money, Eos Systems Inc.

Google Scholar

[2] C. Rocchini, P. Cignoni, C. Montani, P. Pingi and R. Scopignoy, A low cost 3D scanner based on structured light, EUROGRAPHICS 2001, Istituto di Scienza e Tecnologie dell'Informazione (ISTI), Consiglio Nazionale delle Ricerche, C.N.R., Pisa, Italy, Volume 20 (2001).

DOI: 10.1111/1467-8659.00522

Google Scholar

[3] S. Lemeš, N. Zaimović-Uzunović, STUDY OF AMBIENT LIGHT INFLUENCE ON LASER 3D SCANNING, University of Zenica, Faculty of Mechanical Engineering, Fakultetska 1, 72000 Zenica, Bosnia and Herzegovina, (2009).

DOI: 10.21474/ijar01/14448

Google Scholar

[4] Mr. D. Chandramohan, Dr. K. Marimuthu, RAPID PROTOTYPING/RAPID TOOLING – A OVER VIEW AND ITS APPLICATIONS IN ORTHOPAEDICS, Associate Professor, Department of Mechanical Engineering, Coimbatore institute of Technology, Coimbatore, Tamilnadu, India.

DOI: 10.35940/ijeat.c5231.029320

Google Scholar

[5] Zhi Yang Richard A. Wysk Sanjay Joshi, Matthew C. Frank Joseph E. Petrzelka, Conventional Machining Methods for Rapid Prototyping and Direct Manufacturing, Department of Industrial and Manufacturing Engineering, The Pennsylvania State University, University Park, PA 16802, Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA.

DOI: 10.3934/nhm.2007.2.313

Google Scholar