... 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...

... useful life prediction health indicator Wiener process plant engineering and maintenance sensing monitoring and diagnostics References [1] Wang , X. , Cui , L. , and Wang , H. , 2022 , “ Remaining Useful Life Prediction of Rolling Element Bearings Based...

... 11 2024 Email: tirtashi@uvic.ca Email: ayberkz19@uvic.ca 1 Corresponding author. Email: kvahmadi@uvic.ca control and automation machine tool dynamics machining processes modeling and simulation sensing monitoring and diagnostics References [1...

... and diagnostics In recent years, the development of structured materials capable of dynamic 3D shape changes in response to their environment has opened promising avenues for diverse applications, ranging from foldable robots to foldable electronics. Despite the impressive demonstrations of complex...

...@purdue.edu 24 09 2023 29 03 2024 01 04 2024 09 05 2024 Graphical Abstract Figure semiconductor wafer inspection automated visual inspection autonomous data annotation defect localization metrology semiconductor manufacturing sensing monitoring and diagnostics...

... cloud compensation and control data fusion additive manufacturing control and automation inspection and quality control production systems optimization sensing monitoring and diagnostics In modern manufacturing processes, the control and compensation of 3D shape deviations have become...

... Directed Energy Deposition Additive Manufacturing Process ,” Opt. Laser Technol. , 129 , p. 106280 . 10.1016/j.optlastec.2020.106280 [11] Herman , I. P. , 1996 , Optical Diagnostics for Thin Film Processing , Academic Press , San Diego, CA . [12] Jiao , W. , Wang , Q...

... sensing monitoring and diagnostics deep learning Multi-laser powder bed fusion (M-LPBF) systems are garnering increased attention in metal additive manufacturing as they promise increased productivity and part size without sacrificing feature resolution or mechanical properties. A major...

... , N. , 2012 , “ CNC Machine Tool’s Wear Diagnostic and Prognostic by Using Dynamic Bayesian Networks ,” Mech. Syst. Signal Process. , 28 , pp. 167 – 182 . 10.1016/j.ymssp.2011.10.018 [28] Zhou , Y. , Sun , B. , Sun , W. , and Lei , Z. , 2020 , “ Tool Wear Condition...

... emission waspalloy turning condition monitoring machining processes sensing monitoring and diagnostics tribology in manufacturing Wear is the driving mechanism of mechanical damage of sliding elements [ 1 , 2 ]. The principle types of mechanical wear pertaining to sliding friction...

... materials and processing machining processes sensing monitoring and diagnostics National Natural Science Foundation of China 10.13039/501100001809 92160207 52005200 52188102 Nickel-based cast superalloys have been widely used in crucial structural parts of aero engines and gas...

.... 23 12 2021 25 02 2022 25 02 2022 08 04 2022 smart manufacturing data-driven dynamics frequency response function few-shot regression Industry 4.0 machine tool dynamics machining processes sensing monitoring and diagnostics U.S. Department of Commerce...

... 09 2021 15 09 2021 25 10 2021 surface monitoring anomaly classification tensor voting 3D point cloud data product surface inspection inspection and quality control metrology sensing monitoring and diagnostics The forming process, such as stamping, forging...

... and diagnostics Chatter, known as a kind of dynamic instability, has been a major obstacle in almost all machining processes [ 1 ]. Regenerative chatter is the most detrimental to any cutting process as it creates excessive vibration between the tool and the workpiece, resulting in a poor surface finish...

.... , Lin , D. , and Banjevic , D. , 2006 , “ A Review on Machinery Diagnostics and Prognostics Implementing Condition-Based Maintenance ,” Mech. Syst. Signal Process. , 20 ( 7 ), pp. 1483 – 1510 . 10.1016/j.ymssp.2005.09.012 [5] Marseguerra , M. , Zio , E. , and Podofillini , L...

...: RomanBurkart@web.de Email: dugenske@gatech.edu Email: kurfess@gatech.edu 27 01 2019 07 10 2019 13 10 2019 17 10 2019 control and automation machine tool dynamics machining processes precision and ultra-precision machining sensing monitoring and diagnostics...