A review on measurement science needs for real-time control of additive manufacturing metal powder bed fusion processes-Reference-Cited by-同舟云学术

A review on measurement science needs for real-time control of additive manufacturing metal powder bed fusion processes

Published:2016-08-22 Issue:5 Volume:55 Page:1400-1418
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Mani Mahesh¹,Lane Brandon M.¹,Donmez M. Alkan¹,Feng Shaw C.¹,Moylan Shawn P.¹

Affiliation:

1. Engineering Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2016.1223378

Reference127 articles.

1. Property evaluation of 304L stainless steel fabricated by selective laser melting

2. ASTM. 1997.ASTM E399 – 90 Standard Test Method for Plane-strain Fracture Toughness of Metallic Materials. ASTM. http://compass.astm.org/Standards/HISTORICAL/E399-90R97.htm.

3. Terminology for Additive Manufacturing Technologies,

4. Quality control of laser- and powder bed-based Additive Manufacturing (AM) technologies

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