Session: 03-07 Metals: Laser Processing

Paper Number: 93969

93969 - Dimensional Deviation Prediction Model Based on Scale and Material Concentration Effects for Lpbf Process 

Additive Manufacturing (AM) processes generate parts layer‐by‐layer without using formative tools. The resulting advantages highlight the capability of AM to become an inherent part of product development. However, process-specific challenges such as high surface roughness, the stair‐stepping effect, or dimensional deviations inhibit the industrial establishment. Thus, AM parts often need to be post‐processed using established manufacturing processes. Many process parameters and geometrical factors influence the dimensional accuracy in AM. Published results concerning these deviations are also difficult to compare because they are based on several geometries that are manufactured using different processes, materials, and machine settings. Laser Powder Bed Fusion (LPBF) is gaining popularity, but one of the obstacles facing its larger industrial use is the limited knowledge of its dimensional and geometrical performances. Therefore, it is necessary to study the process and improve the accuracy of the parts. This paper presents a new attempt to predict the dimensional deviation of LPBF parts. In a new image analysis model, we implemented all investigated effects during this project. Specifically, the effects that concern the parts as built, which are the scale effect and the material concentration effect. In this paper, we present a new model to predict dimensional deviation for LPBF, and a comparison between the results of the proposed model: numerical and experimental. The model does not use Finite Element's analysis, takes less time to compute, and provides reasonable prediction accuracy.

Presenting Author: Sabrine Ben Amor University of Sousse, LMS-ENISO

Presenting Author Biography: PhD student

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