Non-destructive quality control methods in additive manufacturing: a survey

Author:

Charalampous Paschalis,Kostavelis Ioannis,Tzovaras Dimitrios

Abstract

Purpose In recent years, additive manufacturing (AM) technology has been acknowledged as an efficient method for producing geometrical complex objects with a wide range of applications. However, dimensional inaccuracies and presence of defects hinder the broad adaption of AM procedures. These factors arouse concerns regarding the quality of the products produced with AM and the utilization of quality control (QC) techniques constitutes a must to further support this emerging technology. This paper aims to assist researchers to obtain a clear sight of what are the trends and what has been inspected so far concerning non-destructive testing (NDT) QC methods in AM. Design/methodology/approach In this paper, a survey on research advances on non-destructive QC procedures used in AM technology has been conducted. The paper is organized as follows: Section 2 discusses the existing NDT methods applied for the examination of the feedstock material, i.e. incoming quality control (IQC). Section 3 outlines the inspection methods for in situ QC, while Section 4 presents the methods of NDT applied after the manufacturing process i.e. outgoing QC methods. In Section 5, statistical QC methods used in AM technologies are documented. Future trends and challenges are included in Section 6 and conclusions are drawn in Section 7. Findings The primary scope of the study is to present the available and reliable NDT methods applied in every AM technology and all stages of the process. Most of the developed techniques so far are concentrated mainly in the inspection of the manufactured part during and post the AM process, compared to prior to the procedure. Moreover, material extrusion, direct energy deposition and powder bed processes are the focal points of the research in NDT methods applied in AM. Originality/value This literature review paper is the first to collect the latest and the most compatible techniques to evaluate the quality of parts produced by the main AM processes prior, during and after the manufacturing procedure.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Reference89 articles.

1. Online quality inspection using Bayesian classification in powder-bed additive manufacturing from high-resolution visual camera images;Journal of Intelligent Manufacturing,2018

2. Residual stress and deformation of consolidated structure obtained by layered manufacturing process;Journal of Advanced Mechanical Design, Systems, and Manufacturing,2013

3. Parametric study on a Coaxial multi-material powder flow in laser-based powder deposition process;Journal of Materials Processing Technology,2012

4. Interactive design of dental implant placements through CAD-CAM technologies: from 3D imaging to additive manufacturing;International Journal on Interactive Design and Manufacturing (Ijidem),2016

5. Vision-based defect detection in laser metal deposition process;Rapid Prototyping Journal,2014

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