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Corner cutting accuracy for thin-walled CFRPC parts using HS-WEDM
Carbon Fiber-Reinforced polymer (CFRP) composite parts with thin-walled corners are in great demand in aircraft, cars, and precision instruments....
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Corner cases in machine learning processes
Applications using machine learning (ML), such as highly autonomous driving, depend highly on the performance of the ML model. The data amount and...
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CNC Corner Milling Parameters Optimization Based on Variable-Fidelity Metamodel and Improved MOPSO Regarding Energy Consumption
In the corner milling process, processing energy consumption is a very important objective, since the energy efficiency of CNC machine is barely...
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Attainment of high corner accuracy for thin-walled sharp-corner part by WEDM based on magnetic field-assisted method and parameter optimization
The demand for thin-walled sharp-corner parts is constantly becoming higher in aerospace, precise instruments, and micro-electro-mechanical systems...
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An image-processing approach for polishing metal additive manufactured components to improve the dimensional accuracy and surface integrity
Metal additive manufacturing (MAM) process has gained enormous popularity in the past few decades due to its capability to fabricate the components...
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Segmentation of CAPTCHA Using Corner Detection and Clustering
Character segmentation is the key to CAPTCHA recognition. In order to solve the problem of low success rate of CAPTCHA segmentation caused by... -
Research on the influence of limit wire guide on high thickness cutting of micro high-speed WEDM
In order to further improve the process index of high-thickness cutting of micro high-speed wire electrical discharge machining (micro-WEDM), a...
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Wien Bridge–Based Temperature Sensors
In this chapter presents the design of Wien-bridge sensors focusing on accuracy. To improve its noise and efficiency, the phase demodulator of the... -
Comparative study on near-dry wire-cut electrical discharge machining process using moistened wire
In high-speed reciprocating wire electrical discharge machine, the dry process can solve the problem of disturbance of flushing to the electrode wire...
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High-Precision Matching Algorithm for Multi-Image Segmentation of Micro Animation Videos in Mobile Network Environment
In the mobile network environment, the accuracy of related image matching algorithms is affected by factors such as bandwidth uncertainty and channel...
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Examining the universality of the hemolysis power law model from simulations of the FDA nozzle using calibrated model coefficients
Computational fluid dynamics (CFD) is widely used to predict mechanical hemolysis in medical devices. The most popular hemolysis model is the...
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Experimental Characterization of Dimensional and Surface Alternation of Straight and Angular Cutting on Self-lubricating Composite: A Wire EDM Approach
Demands on better control over the kerf dimension deviation, surface roughness, and corner accuracy are now on the increase for the two-piece...
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Machinability Study of A286 Superalloy for Complex Profile Generation Through Wire Electric Discharge Machining
Estimation of machining time and accuracy plays a pivotal role in exemplifying the efficacy of the wire electric discharge machining (WEDM) process....
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A Linear Temperature Sensor Circuit with High Precision and Low Power Consumption Based on Standard CMOS Process
This paper proposes a low-power, high-precision linear temperature sensor circuit based on the standard CMOS process. The high-order temperature... -
Application-Driven Designs
This chapter presents two designs to broaden the application of resistor-based temperature sensors. The first is aimed for biomedical applications.... -
Panoramic image generation using deep neural networks
A traditional approach for panoramic image generation consists of a random sample consensus (RANSAC) algorithm on a set of scale-invariant feature...
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Edge Matching of Image with Large Viewpoint Variation Based on Relative Motion Direction of Edge Corners
Fast edge matching of images with large viewpoint change is a difficult task for present feature matching techniques. In this paper, an edge matching... -
Development of deep neural network model to predict the compressive strength of FRCM confined columns
The present study describes a reliability analysis of the strength model for predicting concrete columns confinement influence with Fabric-Reinforced...
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Quantitative surface characterisation and stress concentration of additively manufactured NiTi lattice struts
With the advancement of metal additive manufacturing (AM), lattice structures become a promising solution to situations that require lightweight...
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Real-time tool path modification for machine tool contour error reduction
As the demand for high-speed machining of complex features using computerized numerical control machine tools has increased, various contour control...