Surface Topography of Additive Manufacturing Parts Using a Finite Difference Approach

Author:

Jamiolahmadi Saeed1,Barari Ahmad2

Affiliation:

1. Department of Automotive, Mechanical and Manufacturing Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada e-mail:

2. Mem. ASME Department of Automotive, Mechanical and Manufacturing Engineering, Faculty of Engineering and Applied Science, University of Ontario Institute of Technology, 2000 Simcoe Street North, Oshawa, ON L1H 7K4, Canada e-mail:

Abstract

Inspection of surface integrity in additive manufacturing (AM) parts essentially needs a detailed understanding of their actual surface topography. Today's optical surface topography and roughness measurement sensors only provide information of the discrete points measured from the manufactured surface and not a detailed reconstruction of the surface topography. This paper presents a finite difference approach for reconstruction of the surface topography using sample measured data points. The developed methodology can be used in the surface quality inspection of the additive manufactured parts, their surface texture modeling, surface integrity analysis, and in planning for the required postprocessing or down-stream surface finish processes suitable for them. The methodology is fully implemented, and variety of experiments is conducted. The results show that the developed methodology is successful to reconstructed surface topography of the AM parts.

Publisher

ASME International

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference23 articles.

1. Barari, A., 2008, “Sources of Uncertainty in Coordinate Metrology of Automotive Body,” Proceedings of 2nd CIRP International Conference on Assembly Technologies and Systems (CATS 2008), Toronto, ON, Canada, Sept. 21–23, pp. 437–447.

2. Barari, A., 2010, “Cam-Based Inspection of Machined Surfaces,” 5th International Conference on Advances in Production Engineering—APE2010, Warsaw, Poland, June 17–19.

3. Search-Guided Sampling to Reduce Uncertainty of Minimum Deviation Zone Estimation;ASME J. Comput. Inf. Sci. Eng.,2007

4. Design for Manufacturing of Sculptured Surfaces: A Computational Platform;ASME J. Comput. Inf. Sci. Eng.,2009

5. Nurbs Representation of Estimated Surfaces Resulting From Machining Errors;Int. J. Comput. Integr. Manuf.,2009

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