scholarly journals Electrochemical drilling of small holes by regulating in real-time the electrolyte flowrate in multiple channels

2021 ◽  
Author(s):  
Jinxing LUO ◽  
Xiaolong FANG ◽  
Tao YANG ◽  
Di ZHU
Keyword(s):  
Real Time ◽  
Multiple Channels ◽  
Electrochemical Drilling ◽  
Small Holes

A Highly Effective Multiplexing Strategy of VBR Real-Time Stream in Multiple Channels

2011 ◽  
Vol 58-60 ◽  
pp. 233-237 ◽  
Author(s):  
Jian Chen ◽  
Kai Xiong Su ◽  
Xiu Zhi Yang ◽  
Rong Hua Lin
Keyword(s):  
Real Time ◽  
Multiple Channels ◽  
Channel Utilization ◽  
Theoretical Derivation ◽  
Highly Effective

In the demand of compounding transmission with SD and HD programs, based on analyzing two kind of multiplexing models’ characteristic with monopolizing buffer and sharing buffer, it proposes a kind of highly effective multiplexing strategy for multi-channel MPEG-2/AVS real-time stream. As is indicated by theoretical derivation and simulated result, this strategy can multiplex the greatest data quantity, without transmitting loss and with the least resource, thus is more advantageous in raising channel utilization.

Electrochemical drilling of deep and small holes with high speed micro electrode

2014 ◽  
Vol 22 (3) ◽  
pp. 608-615 ◽  
Author(s):  
刘勇 LIU Yong ◽  
曾永彬 ZENG Yong-bin
Keyword(s):  
High Speed ◽  
Electrochemical Drilling ◽  
Small Holes

Electrochemical drilling of multiple small holes with optimized electrolyte dividing manifolds

2017 ◽  
Vol 247 ◽  
pp. 40-47 ◽  
Author(s):  
Fang Xiaolong ◽  
Wang Xindi ◽  
Wang Wei ◽  
Qu Ningsong ◽  
Li Hansong
Keyword(s):  
Electrochemical Drilling ◽  
Small Holes

scholarly journals Electrochemical Drilling of Deep Small Holes in Titanium Alloys with Pulsating Electrolyte Flow

2014 ◽  
Vol 6 ◽  
pp. 167070 ◽  
Author(s):  
Yongbin Zeng ◽  
Xiaolong Fang ◽  
Yudong Zhang ◽  
Ningsong Qu
Keyword(s):  
Titanium Alloys ◽  
Removal Rate ◽  
Machining Accuracy ◽  
Pulsation Frequency ◽  
Average Pressure ◽  
Electrolyte Flow ◽  
Product Removal ◽  
Electrochemical Drilling ◽  
By Products ◽  
Small Holes

Inherent characteristics of electrochemical drilling (ECD) mean that it is a major solution to the machining of deep small holes in difficult-to-cut materials. The removal of insoluble by-products from the machining gap determines the accuracy of control and limits process capacity. Pulsating electrolyte flow is introduced to enhance the removal rate of insoluble products by reducing the hold-down pressure caused by the electrolyte. Experiments are conducted to optimize a stimulus signal for the pulsation and to investigate the electrolyte pulsation frequency, pulsation amplitude, applied voltage, and electrode feed rate in the machining of deep small holes. The results indicate that optimized pulsating flow is effective in accelerating by-product removal and enhancing machining accuracy and maximum machining depth. With the optimized parameters of 5 Hz in frequency, 0.2 MPa in amplitude, and 0.5 MPa in average pressure, a deep hole was machined in titanium alloys of 20 mm depth and 1.97 mm averaged diameter.

Multi-Channel Template Extraction for Automatic EEG Spike Detection

2013 ◽  
pp. 255-265
Author(s):  
Zhanfeng Ji ◽  
Takenao Sugi ◽  
Satoru Goto ◽  
Xingyu Wang ◽  
Masatoshi Nakamura
Keyword(s):  
Real Time ◽  
Extraction Method ◽  
Prior Information ◽  
Template Method ◽  
Multiple Channels ◽  
Spike Detection ◽  
Real Time Applications ◽  
Spike Waveforms ◽  
Electroencephalogram Eeg ◽  
Template Extraction

Automatic electroencephalogram (EEG) spike detection plays an important role in epilepsy diagnoses, but there is no currently accepted method to detect spikes accurately. The template method is considered to be an effective method but is rarely studied. Template making is difficult because the morphology of spike waveforms can vary dramatically. Different patients have different EEG patterns, and for a single patient, different patterns may be observed at different sites on the scalp. The current study proposed a template extraction method. Without prior information, extracted templates could be adapted not only to individual patients but also to individual focus channels. The method was evaluated using the recordings from two epileptic patients. The results suggest that the proposed template extraction method is effective and that templates for spike detection should include multiple channels. In addition, this template method could be easily adapted for real-time applications.

Criterion equation for calculation of the current limiting electrochemical machining by formation of sparks

1981 ◽  
Vol 46 (11) ◽  
pp. 2788-2794 ◽  
Author(s):  
Petr Novák ◽  
Ivo Roušar ◽  
Václav Cezner ◽  
Vladimír Mejta
Keyword(s):  
Critical Current Density ◽  
Critical Current ◽  
Current Density ◽  
Electrochemical Machining ◽  
Average Error ◽  
External Insulation ◽  
Electrochemical Drilling ◽  
Criterion Equation ◽  
Current Limiting ◽  
Small Holes

The current density used in electrochemical machining can be increased only up to a certain value, above which the formation of electric sparks on the cathode (tool) is observed, whereby the latter and its insulation are damaged. The present work is devoted to the measurement of this critical current density for the case of electrochemical drilling of small holes by means of metal capillaries provided with an external insulation. The results are correlated by a criterion equation which gives the values of the limiting currents for sparking, IS , with an average error of ±9%.

Real time numerical simulation and visualization of electrochemical drilling

1998 ◽  
Vol 1 (2) ◽  
pp. 105-111 ◽  
Author(s):  
M.J. Noot ◽  
A.C. Telea ◽  
J.K.M. Jansen ◽  
R.M.M. Mattheij
Keyword(s):  
Numerical Simulation ◽  
Real Time ◽  
Electrochemical Drilling

scholarly journals FPGA Implementation of RLSE Algorithm for Multichannel Brain Imaging

2021 ◽  
Vol 40 (1) ◽  
pp. 241-250
Author(s):  
Muhammad Shahid Nazir ◽  
Haroon-Ur-Rasheed Khan ◽  
Abubaker Akram ◽  
Bhagesh Maheshwari ◽  
Muhammad Aqil
Keyword(s):  
Embedded System ◽  
Real Time ◽  
Resource Sharing ◽  
Near Infrared ◽  
Brain Activity ◽  
Computational Cost ◽  
Recursive Least Squares ◽  
Multiple Channels ◽  
Functional Near Infrared Spectroscopy ◽  
The Brain

This paper describes the implementation of a computationally efficient embedded system on an Field Programmable Gate Array (FPGA) platform for real-time brain activity estimation with multiple channels. The brain signals from multiple channels are considered as output of independent linear systems with unknown parameters representing the brain activity in corresponding channels. Multiple adaptive Recursive Least-Squares Estimation (RLSE) cores are implemented in FPGA to independently estimate the brain activity in each channel concurrently. The proposed RLSE-FPGA system provides dedicated (no time or resource sharing) and parallel processing environment. The universal asynchronous receiver transmitter core is also developed to communicate the measured and estimated parameters supported by storage facility programmed as shared memory. The computational precision is guaranteed by deploying a 32-bit floating point core for all the variables. The validation carried out by real Functional Near-Infrared Spectroscopy dataset and comparative analysis with the previously reported result, demonstrates the effectiveness of the proposed system. The computational cost endorses the effectiveness of concurrent processing of multiple channelsꞌ data in a sample before the arrival of the next sample. The proposed methodology has potential in real-time medical, military and industrial applications.

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