...Matthias Dörr; Frederik Spoden; Sven Matthiesen; Thomas Gwosch Capturing data about manual processes and manual machining steps is important in manufacturing for better traceability, optimization, and better planning. Current manufacturing research focuses on sensor-based recognition of manual...

... additive manufacturing biomedical manufacturing sensors monitoring and diagnostics National Science Foundation 10.13039/100000001 2014346 Office of Naval Research 10.13039/100000006 N000141712620 The neurotransmitter dopamine is crucial for physiological and neurological...

... 10 2021 04 02 2022 05 02 2022 12 05 2022 inspection and quality control laser processes metrology modeling and simulation parameter identification sensors The efficient use of technical, economic, and natural resources requires an appropriate linkage between...

... 2022 20 01 2022 25 03 2022 high-dimensional streaming data analysis relationship mining process data and product data synchronization multistage manufacturing process data-driven rolling process modeling sensors The advancement of sensing technology enables...

...@vt.edu 17 09 2021 12 11 2021 12 11 2021 10 02 2022 control and automation sensing monitoring and diagnostics sensors This study identifies nonideal aspects of the preheat flame electrical resistance while performing oxyfuel cuts of steel plates. Previously...

...Jungsub Kim; Heebum Chun; ChaBum Lee This paper presents a novel non-destructive testing system, magneto-eddy current sensor (MECS), to enable surface profiling of dissimilar materials by combining magnetic sensing for ferromagnetic materials and eddy current sensing for non-ferromagnetic materials...

...Giovanni Chianese; Pasquale Franciosa; Jonas Nolte; Darek Ceglarek; Stanislao Patalano This paper addresses sensor characterization to detect variations in part-to-part gap and weld penetration depth using photodiode-based signals during remote laser welding (RLW) of battery tab connectors...

... as the tolerance on the variation information loss. The value of κ is often set to match with the sensor’s repeatability error, i.e., three times of the standard deviation of spectra based on the gauge R&R study [ 31 ]. In our study, we set κ = 0.1 % . When e i ( k * ) ≤ κ...

... , “ Advanced Carbon Materials for Flexible and Wearable Sensors ,” Sci. China Mater. , 60 ( 11 ), pp. 1026 – 1062 . 10.1007/s40843-017-9077-x [2] Ge , G. , Huang , W. , Shao , J. , and Dong , X. , 2018 , “ Recent Progress of Flexible and Wearable Strain Sensors for Human-Motion...

... can be overwhelming, confusing, and sometimes paralyzing. Researchers at the National Institute of Standards and Technology have developed a test method and companion sensor to assess the health of robot workcells which will yield an additional and unique data stream. The intent is that this data...

... and FSW; and (9) efforts in advanced sensing, data fusion/sensor fusion, and process control using machine learning/deep learning, model predictive control (MPC), and adaptive control. Email: yuming.zhang@uky.edu Email: yyang@ewi.org Email: zhang.3978@osu.edu Email: sjoona@kaist.ac.kr...

... Internet of things big data cloud computing fog computing cyber-physical system digital twin industrial AI blockchain technology inspection and quality control machine tool dynamics plant engineering and maintenance sensing monitoring and diagnostics sensors Modern manufacturing...

...-integrated manufacturing control and automation modeling and simulation plant engineering and maintenance process planning production systems optimization sensing monitoring and diagnostics sensors Manufacturing is entering a period of substantial innovation and change driven by the increased...

... every milling process. Thus, a sensory workpiece clamping system that utilizes sensory swing clamps was developed in former research work in order to provide monitoring capabilities. This contribution deals with the experimental analysis of the multiple integrated sensors of the sensory swing clamp...

... 2019 machining processes modeling and simulation sensing monitoring and diagnostics sensors A strong economic incentive exists in several industry sectors to improve the material removal rate (MRR) when machining high strength, tough steels commonly used in a wide range of critical...

..., but no methodology is currently used in VAR furnaces at large scale to track arcs in real time. An arc position sensing (APS) technology was recently developed as a methodology to predict arc locations using magnetic field values measured by sensors. This system couples finite element analysis of VAR furnace...

... of the work bowl [ 6 ]. Ciampini et al. measured normal contact forces in order to determine the impact velocities of the media on the workpiece in a tub vibrator [ 12 ]. In these investigations, the force sensor was integrated in a housing, which was mounted at four different defined positions in the tub...

... manuscript received October 2, 2017; published online November 2, 2017. Assoc. Editor: Xun Chen. 30 03 2017 02 10 2017 Grinding Machining processes Metrology Precision machining Production systems optimization Sensors Abrasive processes Ultra-precision machining...

... inverse heat transfer method and then model #3 (the heat carrier model) to determine the detailed workpiece temperature profile near the tool tip. 08 03 2017 24 07 2017 CAD Machining processes Modeling and simulation Sensors CAM CAE Boring is a machining process...

... measurement devices are available, including CMMs, profilometers, 3D microscopes, laser holographic interferometers, and touching probe sensors. Simultaneous adoption of multiple gages with different measurement resolutions is a common practice. For instance, in high-precision machining of automobile engine...