A framework for process inspection of metal additive manufacturing

Chih Kun Cheng, Frank Liou, Yi Chien Cheng, Sheng-Chih Shen

Research output: Contribution to journalArticle

Abstract

In this paper, we propose a process inspection framework for metal additive manufacturing (AM) processes. AM, also known as 3D printing, is the process of joining materials to make objects on the basis of 3D model data and is envisioned to play a strategic role in maintaining economic and scientific dominance. Different from conventional manufacturing methods, the AM process is a point-by-point and layer-by-layer manufacturing. Thus, there are many opportunities to generate a process error that can cause quality issues in an AM part. A systematic AM process inspection is needed to yield acceptable performance of the part. The critical parameters that may affect the part quality are identified before processing, during processing, and after processing. The framework of the initial AM process inspection is presented. By using basic sensors, such as a microhardness tester and profilometer, we can obtain critical information about an additive manufactured part.

Original languageEnglish
Pages (from-to)411-420
Number of pages10
JournalSensors and Materials
Volume31
Issue number2
DOIs
Publication statusPublished - 2019 Jan 1

Fingerprint

3D printers
inspection
manufacturing
Inspection
Metals
metals
Processing
Joining
Microhardness
profilometers
Printing
test equipment
printing
microhardness
economics
Economics
Sensors

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Materials Science(all)

Cite this

Cheng, Chih Kun ; Liou, Frank ; Cheng, Yi Chien ; Shen, Sheng-Chih. / A framework for process inspection of metal additive manufacturing. In: Sensors and Materials. 2019 ; Vol. 31, No. 2. pp. 411-420.
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A framework for process inspection of metal additive manufacturing. / Cheng, Chih Kun; Liou, Frank; Cheng, Yi Chien; Shen, Sheng-Chih.

In: Sensors and Materials, Vol. 31, No. 2, 01.01.2019, p. 411-420.

Research output: Contribution to journalArticle

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