4.8 Article

Assessing the capability of in-situ nondestructive analysis during layer based additive manufacture

Journal

ADDITIVE MANUFACTURING
Volume 13, Issue -, Pages 135-142

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.addma.2016.10.004

Keywords

Nondestructive evaluation; Additive manufacturing; Process control; In-situ analysis

Funding

  1. UK Research Centre in Non-destructive Evaluation (EPSRC) [EP/L022125/1]
  2. Metrology for Precision and Additive Manufacturing (EPSRC) [EP/M008983/1]
  3. In-situ Monitoring of Component Integrity During Additive Manufacturing Using Optical Coherence Tomography(EPSRC) [EP/L01713X/1]
  4. EPSRC [EP/L022125/1, EP/M008983/1] Funding Source: UKRI
  5. Engineering and Physical Sciences Research Council [EP/L022125/1, EP/M008983/1] Funding Source: researchfish

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Unlike more established subtractive or constant volume manufacturing technologies, additive manufacturing methods suffer from a lack of in-situ monitoring methodologies which can provide information relating to process performance and the formation of defects. In-process evaluation for additive manufacturing is becoming increasingly important in order to assure the integrity of parts produced in this way. This paper addresses the generic performance of inspection methods suitable for additive manufacturing. Key process and measurement parameters are explored and the impacts these have upon production rates are defined. Essential working parameters are highlighted, within which the spatial opportunity and temporal penalty for measurement allow for comparison of the suitability of different nondestructive evaluation techniques. A new method of benchmarking in-situ inspection instruments and characterising their suitability for additive manufacturing processes is presented to act as a design tool to accommodate end user requirements. Two inspection examples are presented: spatially resolved acoustic spectroscopy and optical coherence tomography for scanning selective laser melting and selective laser sintering parts, respectively. Observations made from the analyses presented show that the spatial capability arising from scanning parameters affects the temporal penalty and hence impact upon production rates. A case study, created from simulated data, has been used to outline the spatial performance of a generic nondestructive evaluation method and to show how a decrease in data capture resolution reduces the accuracy of measurement. (C) 2016 The Authors. Published by Elsevier B.V.

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