Smart manufacturing: Past research, present findings, and future directions

HS Kang, JY Lee, SS Choi, H Kim, JH Park… - International journal of …, 2016‏ - Springer
Today, the manufacturing industry is aiming to improve competitiveness through the
convergence with cutting-edge ICT technologies in order to secure a new growth engine …

A review of model inaccuracy and parameter uncertainty in laser powder bed fusion models and simulations

T Moges, G Ameta, P Witherell - Journal of …, 2019‏ - asmedigitalcollection.asme.org
This paper presents a comprehensive review on the sources of model inaccuracy and
parameter uncertainty in metal laser powder bed fusion (L-PBF) process. Metal additive …

The design for additive manufacturing worksheet

JW Booth, J Alperovich… - Journal of …, 2017‏ - asmedigitalcollection.asme.org
Additive manufacturing (AM) technologies have become integral to modern prototy** and
manufacturing. Therefore, guidelines for using AM are necessary to help users new to the …

Development of experimental method for in situ distortion and temperature measurements during the laser powder bed fusion additive manufacturing process

AJ Dunbar, ER Denlinger, J Heigel, P Michaleris… - Additive …, 2016‏ - Elsevier
Measurements of the temperature and distortion evolution during laser powder bed fusion
(LPBF) are taken as a function of time. In situ measurements have proven vital to the …

IoT-enabled cloud-based additive manufacturing platform to support rapid product development

Y Wang, Y Lin, RY Zhong, X Xu - International Journal of …, 2019‏ - Taylor & Francis
Additive Manufacturing (AM) with its unique capabilities provides a new way of rapid product
development. The emerging Cloud Manufacturing paradigm makes it much easier to access …

Six-sigma quality management of additive manufacturing

H Yang, P Rao, T Simpson, Y Lu… - Proceedings of the …, 2020‏ - ieeexplore.ieee.org
Quality is a key determinant in deploying new processes, products, or services and
influences the adoption of emerging manufacturing technologies. The advent of additive …

Ontology-based knowledge representation for additive manufacturing

EM Sanfilippo, F Belkadi, A Bernard - Computers in Industry, 2019‏ - Elsevier
The flourishing development of additive manufacturing (AM) technologies calls for robust IT
methodologies and solutions to manage the plethora of data that is generated in the AM …

Process-structure linkages using a data science approach: application to simulated additive manufacturing data

E Popova, TM Rodgers, X Gong, A Cecen… - Integrating materials and …, 2017‏ - Springer
A novel data science workflow is developed and demonstrated to extract process-structure
linkages (ie, reduced-order model) for microstructure evolution problems when the final …

Investigation of deep learning for real-time melt pool classification in additive manufacturing

Z Yang, Y Lu, H Yeung… - 2019 IEEE 15th …, 2019‏ - ieeexplore.ieee.org
Consistent melt pool geometry is an indicator of a stable laser powder bed fusion (L-PBF)
additive manufacturing process. Melt pool size and shape reflect the impact of process …

[HTML][HTML] Challenges of additive manufacturing technologies from an optimisation perspective

S Guessasma, W Zhang, J Zhu, S Belhabib… - International Journal for …, 2015‏ - ijsmdo.org
Three-dimensional printing offers varied possibilities of design that can be bridged to
optimisation tools. In this review paper, a critical opinion on optimal design is delivered to …