... finite element simulation automobile modeling and simulation sensing monitoring and diagnostics welding and joining References [1] Söderberg , R. , Wärmefjord , K. , Lindkvist , L. , and Berlin , R. , 2012 , “ The Influence of Spot Weld Position Variation...

.... However, a drawback of these existing sensing modalities is that they are unable to penetrate beyond the top surface of the powder bed. It is important to detect process phenomena within the bulk volume of the part buried under the powder, because these subsurface phenomena are linked to such flaws...

..., reducing waste, and increasing profits. This is achieved through the use of advanced sensing technologies that monitor the production process, such as acoustic emissions or pyrometers, and the application of deep learning-based models that can effectively analyze the data collected. The remainder...

... assurance method. For laser powder bed fusion (LPBF), in-situ sensing has shown promise with various forms of defect detection but has only shown limited success in microstructural characterization. Utilizing concurrent in-situ data collection from a complementary metal oxide semiconductor (CMOS...

...: r202470148ok@jindai.jp 07 06 2024 21 08 2024 22 08 2024 21 11 2024 Graphical Abstract Figure control and automation machine tool dynamics sensing monitoring and diagnostics sensors In recent years, the decline in the working-age population has increased...

... ultrasonic elastic waves selective laser melting (SLM) spectral methods wave dispersion additive manufacturing inspection and quality control sensing monitoring and diagnostics New York State Energy Research and Development Authority 10.13039/100004862 147958 Over the last two...

...: ftao@buaa.edu.cn 28 06 2024 31 10 2024 02 11 2024 21 11 2024 data and model synergy remaining useful life prediction health indicator Wiener process plant engineering and maintenance sensing monitoring and diagnostics National Natural Science Foundation...

...@uvic.ca 1 Corresponding author. Email: kvahmadi@uvic.ca Email: tirtashi@uvic.ca 04 07 2024 26 09 2024 27 09 2024 18 11 2024 Graphical Abstract Figure control and automation machine tool dynamics machining processes modeling and simulation sensing...

... for manufacturing machine tool dynamics machining processes modeling and simulation precision and ultra-precision machining sensing monitoring and diagnostics sensors Ball screw drives are widely used in machine tools due to their lower cost and torque reduction capabilities. As the machine is used...

.../s43578-021-00324-0 [31] Ahn , J.-H. , Hong , H.-J. , and Lee , C.-Y. , 2021 , “ Temperature-Sensing Inks Using Electrohydrodynamic Inkjet Printing Technology ,” Materials , 14 ( 19 ), p. 5623 . 10.3390/ma14195623 [32] Li , B. , Liang , W. , and Ren , F...

... printing Taylor cone machine learning high-speed imaging inspection and quality control micro- and nano-machining and processing sensing monitoring and diagnostics National Aeronautics and Space Administration 10.13039/100000104 80NSSC23K1188 80NSSC21M0360 80NSSC20M0107...

... manufacturing control and automation inspection and quality control modeling and simulation nontraditional manufacturing processes process engineering sensing monitoring and diagnostics In recent years, the development of structured materials capable of dynamic 3D shape changes in response...

...- and medium-sized enterprises data sharing federated learning inspection and quality control sensing monitoring and diagnostics Metal additive manufacturing (AM) has been widely used in industries, proving its success across various enterprises [ 1 ]. Its advantages in producing complex...

... learning deformation detection physics-informed machine learning thermal sensing wire arc directed energy deposition additive manufacturing inspection and quality control sensing U.S. Army Corps of Engineers 10.13039/100006752 W911NF-20-2-0206 Wire arc directed energy...

... localization metrology semiconductor manufacturing sensing monitoring and diagnostics References [1] Kang , H. S. , Lee , J. Y. , Choi , S. , Kim , H. , Park , J. H. , Son , J. Y. , Kim , B. H. , and Noh , S. D. , 2016 , “ Smart Manufacturing: Past...

... and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ-260683 The dynamics of the spindle system depend on its dimensions, tool holder, cutting tool assembly, bearing type and location, bearing preload...

... and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ-260683 To ensure optimal machining performance of machine tools, it is crucial to model the effects of bearing faults, contact loss between the shaft...

... spindle vibration machine learning recurrent neural network gated recurrent unit unbalance bearing fault detection machine tool dynamics modeling and simulation sensing monitoring and diagnostics Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038 IRCPJ...

... network using the initial condition and tool temperature prediction (Step 3). In this sense, the coupled interconnectivity makes AFSD-Nets the state-space representation of the thermal dynamical system during AFSD, which can simulate the entire temperature evolution. This is important for the practical...

... ) ) and the observable associated with the target state Φ ( x S T ) are disjoint, having no common elements. Hence, if the embedded Koopman system is deemed uncontrollable in the sense that there exist x S 0 and x S T for which no control input u t can achieve...