Optical System for On-Line Monitoring and Temperature Control in Selective Laser Melting Technology

Doubenskaia, M.; Павлов, М.; Chivel, Yu.

doi:10.4028/www.scientific.net/kem.437.458

Cited by 62 publications

(16 citation statements)

References 9 publications

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“…Chivel and Smurov [56][57][58] use a setup to monitor the maximum surface temperature, spatial temperature distribution in the processing area, and the size of the melt pool, then use this information to control the evolution of these tem peratures. [62], the authors also use a CCD camera and a two-wavelength pyrometer to measure temperatures from the melt pool. Rombouts et al [59] use a coaxial CMOS camera system to monitor the build of same parts with seven different materials.…”

Section: Pbf Processesmentioning

confidence: 99%

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A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Tapia

Elwany

2014

Journal of Manufacturing Science and Engineering

551

188

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There is consensus among both the research and industrial communities, and even the general public, that additive manufacturing (AM) processes capable o f processing metal lic materials are a set o f game changing technologies that offer unique capabilities with tremendous application potential that cannot be matched by traditional manufacturing technologies. Unfortunately, with all what AM has to offer, the quality and repeatability o f metal parts still hamper significantly their widespread as viable manufacturing proc esses. This is particularly true in industrial sectors with stringent requirements on part quality such as the aerospace and healthcare sectors. One approach to overcome this challenge that has recently been receiving increasing attention is process monitoring and real-time process control to enhance part quality and repeatability. This has been addressed by numerous research efforts in the past decade and continues to be identified as a high priority research goal. In this review paper, we fill an important gap in the liter ature represented by the absence o f one single source that comprehensively describes what has been achieved and provides insight on what still needs to be achieved in the field o f process monitoring and control fo r metal-based AM processes.

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Section: Pbf Processesmentioning

confidence: 99%

“…te r ia l Publications[38,46,[56][57][58][59][60]63,66,[70][71][72]74,76,87,88,91,113,118,119,137,148,154,[172][173][174]176,177] [29,45,60,62,80,81,84,89,99,[107][108][109]118,120,131,132,141,149,154,155,184] [24,25,27,…”

mentioning

confidence: 99%

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

Tapia

Elwany

2014

Journal of Manufacturing Science and Engineering

551

188

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“…In recent developments, three-dimensional build defects detected by this system were found to be comparable to corresponding ex situ X-ray computed tomography measurements (Clijsters et al, 2014). A similar SLM optical monitoring system, consisting of a bi-color pyrometer and an LED-illuminated CCD camera, has been developed by Doubenskaia et al (Doubenskaia et al, 2010). The bi-color pyrometer's use of two photodiodes extends thermalbased imaging techniques, enabling measurement of absolute temperature.…”

Section: Introductionmentioning

confidence: 95%

In situ morphology-based defect detection of selective laser melting through inline coherent imaging

Kanko

Sibley

Fraser

2016

Journal of Materials Processing Technology

164

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“…Thermocouples can measure temperatures only in places where they are installed, and it is difficult to have a general picture of temperature distribution even when several thermocouples are used. Infrared thermography [14][15][16][17] can measure only surface temperatures and cannot ensure the distribution of transient temperature processes in volume. The volume distribution of temperatures in a workpiece can be determined by mathematical modeling.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Plasma 3D Deposition of Wire Materials

Трушников¹,

Smetannikov²,

Perminov³

et al. 2018

Additive Manufacturing of High-Performance Metals and Alloys - Modeling and Optimization

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The numerical modeling of the physical process of manufacturing parts using additive technologies is complex and needs to consider a variety of thermomechanical behavior. This is connected with the extensive use of the finite element computer simulation by means of specialized software packages that implement mathematical models of the processes. The algorithm of calculation of nonstationary temperature fields and stressstrain state of the structure during the process of 3D deposition of wire materials developed and implemented in ANSYS is considered in the paper. The verification of the developed numerical algorithm for solving three-dimensional problem of the production of metal products using arc 3D deposition of wire materials with the results of the experiment is carried out. The data obtained from calculations on the developed numerical model are in good agreement with the experiment.

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Optical System for On-Line Monitoring and Temperature Control in Selective Laser Melting Technology

Cited by 62 publications

References 9 publications

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

A Review on Process Monitoring and Control in Metal-Based Additive Manufacturing

In situ morphology-based defect detection of selective laser melting through inline coherent imaging

Modeling of the Plasma 3D Deposition of Wire Materials

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