... feature resolution or mechanical properties. However, M-LPBF introduces unique problems related to the interaction of multiple moving heat sources not observed in single laser systems, possibly leading to unexpected flaws and other process anomalies. Careful process modeling, planning, and monitoring...

...Alexandra Schueller; Christopher Saldaña Tool condition monitoring (TCM) has become a research area of interest due to its potential to significantly reduce manufacturing costs while increasing process visibility and efficiency. Machine learning (ML) is one analysis technique which has demonstrated...

...Rodolfo Franchi; Giovanna Rotella; Antonio Del Prete Wear mechanisms taking place during machining strongly affect the overall process reliability, product quality, and production costs. It is necessary to have useful monitoring techniques for monitoring the wear trend during the process...

... 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 turbines due to their outstanding mechanical...

... Email: frederik.spoden@student.kit.edu Email: sven.matthiesen@kit.edu Email: thomas.gwosch@kit.edu 25 02 2022 22 06 2022 22 06 2022 29 07 2022 manual manufacturing sensing sensors monitoring diagnostics industry 4.0 activity recognition classification...

...Jacob Fabro; Gregory W. Vogl; Yongzhi Qu The frequency response function (FRF) provides an input–output model that describes the system dynamics. Learning the FRF of a mechanical system can facilitate system identification, adaptive control, and condition-based health monitoring. Traditionally...

... 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...

.... A. , 2016 , “ Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics ,” Int. J. Progn. Health Manage. , 7 (Spec Iss on Smart Manufacturing PHM), p. 13 . [6] Park , C. , and Park , K. , 2008 , “ Design and Kinematics Analysis of Dual arm...

... 21 04 2020 29 06 2020 29 06 2020 07 10 2020 composite ply-movement autoclave processing digital image correlation manufacturing defects in situ detection ex situ X-ray micro-CT advanced materials and processing sensing monitoring Prepreg composites are being...

... Using a Local Maximum Synchrosqueezing-Based Method ,” J. Intell. Manuf. , 31 ( 5 ), pp. 1243 – 1255 . 10.1007/s10845-019-01509-5 [14] Tangjitsitcharoen , S. , 2009 , “ In-process Monitoring and Detection of Chip Formation and Chatter for CNC Turning ,” J. Mater. Process. Technol...

... and double-electrode GMAW as improved materials filling processes; (5) efforts in numerical modeling for fluid dynamics; (6) efforts in numerical modeling for structures; (7) challenges and efforts in seam tracking and weld pool monitoring; (8) challenges and efforts in monitoring of keyhole laser welding...

... 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...

... separates the measurement locally from coolant and chips, which decreases the risk of a failure in the case of a continuously monitored machine. Furthermore, the measurement method does not influence the machining process itself. The separation of the machining process and the measurement enables the method...

... 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...

...). During the process, two types of foreign contaminant materials, namely, tungsten and aluminum particulates, under varying degrees of severity were introduced. To detect cross-contamination in the part, the photodetector sensor signatures were monitored hatch-by-hatch in the form of spectral graph...

... spacing (H), laser velocity (V), and laser power (P); and (2) monitor and identify process conditions that are liable to cause porosity through analysis of in-process layer-by-layer optical images of the build invoking multifractal and spectral graph theoretic features. These objectives are important...

...Yiping Shao; Yaxiang Yin; Shichang Du; Tangbin Xia; Lifeng Xi Leakage directly affects the functional behavior of a product in engineering practice, and surface topography is one of the main factors in static seal to prevent leakage. This paper aims at monitoring the leakage in static sealing...

... for this experimental verification. Mounted sensors within the cavity combined with an integrated data acquisition system permit the online monitoring of the pressure and pressure gradient along the flow pass. The analytical framework formulated here was successfully applied to analyze the free deformation of sheet...

...Mohammad Montazeri; Prahalada Rao The goal of this work is to monitor the laser powder bed fusion (LPBF) process using an array of sensors so that a record may be made of those temporal and spatial build locations where there is a high probability of defect formation. In pursuit of this goal...

...Bin Zhang; Christopher Katinas; Yung C. Shin This paper describes a robust tool wear monitoring scheme for turning processes using low-cost sensors. A feature normalization scheme is proposed to eliminate the dependence of signal features on cutting conditions, cutting tools, and workpiece...