Review on additive manufacturing and non-destructive testing

IS Ramírez, FPG Márquez, M Papaelias - Journal of Manufacturing Systems, 2023 - Elsevier
Additive manufacturing is based on high-precision material deposition to build a final part or
component by using various techniques. It is being one of the main advances in the fourth …

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 …

How generative AI models such as ChatGPT can be (mis) used in SPC practice, education, and research? An exploratory study

FM Megahed, YJ Chen, JA Ferris, S Knoth… - Quality …, 2024 - Taylor & Francis
Abstract Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the
potential to revolutionize Statistical Process Control (SPC) practice, learning, and research …

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) …

Some current directions in the theory and application of statistical process monitoring

WH Woodall, DC Montgomery - Journal of Quality Technology, 2014 - Taylor & Francis
The purpose of this paper is to provide an overview and our perspective of recent research
and applications of statistical process monitoring. The focus is on work done over the past …

An overview on recent profile monitoring papers (2008–2018) based on conceptual classification scheme

MR Maleki, A Amiri, P Castagliola - Computers & Industrial Engineering, 2018 - Elsevier
Sometimes the quality of a process is best expressed by a relationship between response
variables and explanatory variables. Checking over the time the stability of such functional …

Nonparametric profile monitoring by mixed effects modeling

P Qiu, C Zou, Z Wang - Technometrics, 2010 - Taylor & Francis
In some applications, the quality of a process is characterized by the functional relationship
between a response variable and one or more explanatory variables. Profile monitoring is …

Some recent developments on the effects of parameter estimation on control charts

S Psarakis, AK Vyniou… - Quality and Reliability …, 2014 - Wiley Online Library
Statistical process control plays a key role in today's highly competitive industrial
environment since it allows quality practitioners to timely detect out‐of‐control situations and …

Monitoring correlation within linear profiles using mixed models

WA Jensen, JB Birch, WH Woodall - Journal of Quality Technology, 2008 - Taylor & Francis
Profile monitoring is a relatively new set of techniques in quality control used when the
product or process quality is best represented by a function (or a curve) at each time period …

A change-point approach for phase-I analysis in multivariate profile monitoring and diagnosis

K Paynabar, C Zou, P Qiu - Technometrics, 2016 - Taylor & Francis
Process monitoring and fault diagnosis using profile data remains an important and
challenging problem in statistical process control (SPC). Although the analysis of profile data …