Opportunities and challenges of quality engineering for additive manufacturing

BM Colosimo, Q Huang, T Dasgupta… - Journal of Quality …, 2018 - Taylor & Francis
Additive manufacturing (AM), commonly known as three-dimensional printing, is widely
recognized as a disruptive technology, and it has the potential to fundamentally change the …

Geometrical deviation modeling and monitoring of 3D surface based on multi-output Gaussian process

C Zhao, J Lv, S Du - Measurement, 2022 - Elsevier
Geometrical deviation is an important factor in determining the quality of a three-dimensional
(3D) Surface. For 3D surfaces with complex shapes, the high-definition measurement (HDM) …

A novel parallel classification network for classifying three-dimensional surface with point cloud data

C Zhao, S Du, J Lv, Y Deng, G Li - Journal of Intelligent Manufacturing, 2023 - Springer
Surface classification is an effective way to assess the surface quality of parts. During the
last decade, the assessment of parts quality has gradually changed from simple geometries …

Complex geometries in additive manufacturing: A new solution for lattice structure modeling and monitoring

BM Colosimo, M Grasso, F Garghetti… - Journal of Quality …, 2022 - Taylor & Francis
The production of novel types of complex shapes is nowadays enabled by new
manufacturing paradigms such as additive manufacturing, also known as 3D printing. The …

Big data? Statistical process control can help!

P Qiu - The American Statistician, 2020 - Taylor & Francis
Abstract “Big data” is a buzzword these days due to an enormous amount of data-rich
applications in different industries and research projects. In practice, big data often take the …

Multi-sensor based landslide monitoring via transfer learning

W Li, F Tsung, Z Song, K Zhang… - Journal of Quality …, 2021 - Taylor & Francis
Landslides are severe geographical activities that result in large quantities of rock and
debris flowing down hill-slopes, leading to thousands of casualties and billions of dollars in …

Modeling and monitoring methods for spatial and image data

BM Colosimo - Quality Engineering, 2018 - Taylor & Francis
Intelligent sensing and computerized data analysis are inducing a paradigm shift in
industrial statistics applied to discrete part manufacturing. Emerging technologies (eg …

A data-centric approach to generative modelling for 3D-printed steel

TJ Dodwell, LR Fleming… - … of the Royal …, 2021 - royalsocietypublishing.org
The emergence of additive manufacture (AM) for metallic material enables components of
near arbitrary complexity to be produced. This has potential to disrupt traditional engineering …

A novel curved surface profile monitoring approach based on geometrical-spatial joint feature

Y Shao, J Chen, X Gu, J Lu, S Du - Journal of Intelligent Manufacturing, 2024 - Springer
With the development of high-end manufacturing, a variety of sophisticated parts with
complex curved surfaces have emerged, and curved surface profile monitoring is of great …

Phase I monitoring of spatial surface data from 3D printing

Y Zang, P Qiu - Technometrics, 2018 - Taylor & Francis
In recent years, 3D printing gets more and more popular in manufacturing industries. Quality
control of 3D printing products thus becomes an important research problem. However, this …