...@intel.com 12 05 2023 13 08 2023 14 08 2023 11 09 2023 Bayesian networks multistage manufacturing processes failure mode and effect analysis (FMEA) process monitoring root cause identification machine learning big data modeling and simulation sensing monitoring...

..., acceleration, acoustics, and others. Recently, the process data play critical roles in in-situ process monitoring and anomaly detection. However, the process data contain confidential design information, particularly relating to the printing geometries and parameters. These embedded features can be extracted...

... ,” J. Manuf. Process. , 48 ( 4 ), pp. 66 – 76 . 10.1016/j.jmapro.2019.10.020 [32] Kothuru , A. , Nooka , S. P. , and Liu , R. , 2017 , “ Cutting Process Monitoring System Using Audible Sound Signals and Machine Learning Techniques: An Application to End Milling ,” International...

...Xinhua Shi; Lin Li; Suiran Yu; Lingxiang Yun Ultrasonic metal welding is one of the key technologies in manufacturing lithium batteries, and the welding quality directly determines the battery performance. Therefore, an online welding process monitoring system is critical in identifying abnormal...

... thermal modeling process monitoring melt pool additive manufacturing laser processes modeling and simulation rapid prototyping and solid freeform fabrication sensing monitoring and diagnostics National Institute of Standards and Technology 10.13039/100000161 70NANB18H220...

....2014.05.038 Email: dfranke2@wisc.edu Email: mike.zinn@wisc.edu Email: shiva.rudraraju@wisc.edu Email: frank.pfefferkorn@wisc.edu 10 12 2020 23 04 2021 23 04 2021 11 06 2021 friction stir welding aluminum internal voids process monitoring forces...

... , …, k + N p , but in MPC, only u ( k ) is applied to the process, and the optimization is repeated for k + 1, k + 2, …, i.e., it is a receding optimization. grinding and abrasive processes machining processes sensing manufacturing process control process monitoring control...

... reduce the number of defective products. The proposed multifractal method shows strong potentials to be applied for process monitoring and control in a variety of domains such as ultraprecision machining and additive manufacturing. Advanced sensing brings the increasing availability of high-dimensional...

.... As pointed out in Sec. 2 , process monitoring and anomaly detection in metal AM and particularly L-PBF are emerging fields still undergoing development. Hence, benchmark methodologies do not exist to gauge the performance of our anomaly detection framework. Nonetheless, many of the published works share...

... the in-situ welding quality, in the context of welding process monitoring, and control of ultrasonic welding process. The weld samples were examined using scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) to study the material interactions at the bonding interface as a function...

... . Manuscript received March 29, 2011; final manuscript received March 20, 2012; published online June 26, 2012. Assoc. Editor: Robert Gao. 29 03 2011 20 03 2012 Research conducted on in situ process monitoring of resin transfer molded composites with fiber optic sensors is presented...

...C. A. Griffiths; S. S. Dimov; S. Scholz; H. Hirshy; G. Tosello Process monitoring of microinjection moulding ( μ IM) is of crucial importance when analysing the effect of different parameter settings on the process and then in assessing its quality. Quality factors related to cavity pressure can...

...C. A. Griffiths; S. S. Dimov; S. Scholz; G. Tosello Process monitoring of microinjection molding ( μ -IM ) is of crucial importance in understanding the effects of different parameter settings on the process, especially on its performance and consistency with regard to parts’ quality. Quality...

...-temperature behavior of the polymer but with limited accuracy. There are various process monitoring systems available in the market; none of which has the capability of directly monitoring and controlling the real time shrinkage and part dimensions online. With a view to measuring in-mold shrinkage, a button...

.... Recently, some advanced research has been conducted on forging process monitoring ( 7 8 ). For example, in Ref. 7 , the principal curve based tonnage monitoring method is developed based on segmented signals. In Ref. 8 , principal component analysis is used for monitoring feature extraction based...

... can provide information about the beam shape and size and the power density distribution. In addition to monitoring these machine settings, other in-process monitoring controls, based on phenomena resulting from the electron beam-material interaction, have been explored. Back-scattered electrons...

... to be successful for all setups and for all wheel-workpiece combinations. This paper proposes a systematic approach, which allows the development and deployment of process-monitoring systems via automated sensor and feature selection combined with parameter-free model training, both of which are especially crucial...

...Hui Wang; Qiang Huang Traditional statistical process control (SPC) has been widely employed for the process monitoring in discrete part manufacturing. However, SPC does not consider any adjustment preventing the process drift. Furthermore, many in-line adjustment approaches, such as thermal error...

... and deposition in CC 06 06 2003 16 08 2006 condition monitoring process monitoring extrusion layered manufacturing integrated circuit manufacture prosthetics cost reduction failure analysis quality management The current thrust of industries towards mass customization...

... ultrasonic pulse detector based on the complex Morlet wavelet was designed and experimentally investigated. The results have confirmed the effectiveness of the new signal-processing technique for on-line pressure sensing for injection molding process monitoring. 15 06 2004 20 07 2005...