High-speed image acquisition technology in quality detection of workpiece surface

2016 ◽  
Author(s):  
Kaihua Wu ◽  
Zexuan Jin ◽  
Wenjie Wang ◽  
Nian Chen
Keyword(s):  
High Speed ◽  
Image Acquisition ◽  
Workpiece Surface ◽  
Quality Detection

Scanning x-ray fluorescence microscopy and principal component analysis

1992 ◽  
Vol 50 (2) ◽  
pp. 1752-1753
Author(s):  
Brian Cross
Keyword(s):  
Principal Component Analysis ◽  
Fluorescence Microscopy ◽  
Spatial Resolution ◽  
High Speed ◽  
Image Acquisition ◽  
Principal Component ◽  
Fluorescence Microscope ◽  
Acquisition Rate ◽  
X Ray ◽  
Speed Up

A relatively new entry, in the field of microscopy, is the Scanning X-Ray Fluorescence Microscope (SXRFM). Using this type of instrument (e.g. Kevex Omicron X-ray Microprobe), one can obtain multiple elemental x-ray images, from the analysis of materials which show heterogeneity. The SXRFM obtains images by collimating an x-ray beam (e.g. 100 μm diameter), and then scanning the sample with a high-speed x-y stage. To speed up the image acquisition, data is acquired "on-the-fly" by slew-scanning the stage along the x-axis, like a TV or SEM scan. To reduce the overhead from "fly-back," the images can be acquired by bi-directional scanning of the x-axis. This results in very little overhead with the re-positioning of the sample stage. The image acquisition rate is dominated by the x-ray acquisition rate. Therefore, the total x-ray image acquisition rate, using the SXRFM, is very comparable to an SEM. Although the x-ray spatial resolution of the SXRFM is worse than an SEM (say 100 vs. 2 μm), there are several other advantages.

scholarly journals Module to Support Real-Time Microscopic Imaging of Living Organisms on Ground-Based Microgravity Analogs

2021 ◽  
Vol 11 (7) ◽  
pp. 3122
Author(s):  
Srujana Neelam ◽  
Audrey Lee ◽  
Michael A. Lane ◽  
Ceasar Udave ◽  
Howard G. Levine ◽  
...  
Keyword(s):  
Real Time ◽  
High Speed ◽  
Simulated Microgravity ◽  
Image Acquisition ◽  
Time Lapse ◽  
Moving Frames ◽  
Cell Functions ◽  
Microgravity Simulation ◽  
Division Cell ◽  
Over Time

Since opportunities for spaceflight experiments are scarce, ground-based microgravity simulation devices (MSDs) offer accessible and economical alternatives for gravitational biology studies. Among the MSDs, the random positioning machine (RPM) provides simulated microgravity conditions on the ground by randomizing rotating biological samples in two axes to distribute the Earth’s gravity vector in all directions over time. Real-time microscopy and image acquisition during microgravity simulation are of particular interest to enable the study of how basic cell functions, such as division, migration, and proliferation, progress under altered gravity conditions. However, these capabilities have been difficult to implement due to the constantly moving frames of the RPM as well as mechanical noise. Therefore, we developed an image acquisition module that can be mounted on an RPM to capture live images over time while the specimen is in the simulated microgravity (SMG) environment. This module integrates a digital microscope with a magnification range of 20× to 700×, a high-speed data transmission adaptor for the wireless streaming of time-lapse images, and a backlight illuminator to view the sample under brightfield and darkfield modes. With this module, we successfully demonstrated the real-time imaging of human cells cultured on an RPM in brightfield, lasting up to 80 h, and also visualized them in green fluorescent channel. This module was successful in monitoring cell morphology and in quantifying the rate of cell division, cell migration, and wound healing in SMG. It can be easily modified to study the response of other biological specimens to SMG.

Research on Surface Roughness Prediction Model for High-Speed Milling Inclined Plane of Hardened Steel

2010 ◽  
Vol 97-101 ◽  
pp. 2044-2048 ◽  
Author(s):  
Yuan Ling Chen ◽  
Bao Lei Zhang ◽  
Wei Ren Long ◽  
Hua Xu
Keyword(s):  
Surface Roughness ◽  
Prediction Model ◽  
High Speed ◽  
Hardened Steel ◽  
Prediction Errors ◽  
Inclined Plane ◽  
Workpiece Surface ◽  
Factors Influencing ◽  
Generalized Regression Neural Networks ◽  
Roughness Prediction

As the factors influencing the workpiece surface roughness is complexity and uncertainty, according to orthogonal experimental results, the paper established Empirical regression prediction model and generalized regression neural networks (GRNN) for prediction of surface roughness when machining inclined plane of hardened steel in high speed , moreover, compared their prediction errors. The results show that GRNN model has better prediction accuracy than empirical regression prediction model and can be better used to control the surface roughness dynamically.

High-Speed Visible Image Acquisition and Processing System for Plasma Shape and Position Control of EAST Tokamak

2018 ◽  
Vol 46 (5) ◽  
pp. 1312-1317 ◽  
Author(s):  
Heng Zhang ◽  
Bingjia Xiao ◽  
Zhengping Luo ◽  
Qin Hang ◽  
Jianhua Yang
Keyword(s):  
High Speed ◽  
Position Control ◽  
Image Acquisition ◽  
Processing System ◽  
Visible Image

The Design of High-Speed CMOS Imaging System Based on SOPC Technology

2010 ◽  
Vol 39 ◽  
pp. 523-528
Author(s):  
Xin Hua Yang ◽  
Yuan Yuan Shang ◽  
Da Wei Xu ◽  
Hui Zhuo Niu
Keyword(s):  
High Speed ◽  
Imaging System ◽  
Image Acquisition ◽  
Image Data ◽  
Image Sensor ◽  
Acquisition System ◽  
Storage Unit ◽  
Data Encoding ◽  
Acquisition Speed ◽  
Image Acquisition System

This paper introduces a design of a high-speed image acquisition system based on Avalon bus which is supported with SOPC technology. Some peripherals embedded in Avalon bus were customized and utilized in this system, such as imaging unit, decoding unit and storage unit, and these improved the speed of the whole imaging system. The data is compressed to three-fourths of the original by the decoding unit. A custom DMA is designed for moving the image data to the two caches of the SDRAM. This approach discards the method that FIFO must be put up in the traditional data acquisition system. And therefore, it reduced the CPU’s task for data moving. At the same time, the image acquisition and the data transmission can complete a parallel job. Finally, the design is worked on the high-speed image acquisition system which is made up of 2K*2K CMOS image sensor. And it improved the image acquisition speed by three ways: data encoding, custom DMA controller and the parallel processing.

Some Observations on How Mechanochemical Effect Determines Deformation Mode and Chip Morphology in Cutting of Metals

2019 ◽  
Author(s):  
Tatsuya Sugihara ◽  
Mojib Saei ◽  
Koushik Viswanathan ◽  
Anirudh Udupa
Keyword(s):  
High Speed ◽  
Chip Morphology ◽  
Deformation Mode ◽  
Flow Mode ◽  
High Speed Imaging ◽  
Mechanochemical Effect ◽  
Workpiece Surface ◽  
Buckling Instability ◽  
Smooth Flow

Abstract We analyze unsteady plastic flow modes in cutting of metals using high-speed imaging of the deformation zone, in situ. For metals which exhibit high levels of strain hardening, the commonly assumed steady (smooth) flow is inherently unstable. Instead, the cutting is characterized by unsteady sinuous flow, with large-amplitude folding, that is triggered by a plastic buckling instability linked to the material microstructure. A mechanochemical effect caused by Al-Alcohol chemical reaction on workpiece surface, which is coupled to the unsteady flow mode, is highlighted. Experimental results reinforce the hypothesis pertaining to flow stability governing the deformation mode and chip type.

The low-order wavefront control system for the PICTURE-C mission: high-speed image acquisition and processing

2017 ◽  
Author(s):  
Kuravi Hewawasam ◽  
Christopher B. Mendillo ◽  
Glenn A. Howe ◽  
Supriya Chakrabarti ◽  
Timothy A. Cook ◽  
...  
Keyword(s):  
Control System ◽  
High Speed ◽  
Image Acquisition ◽  
Wavefront Control ◽  
Low Order

Novel Contact Sensor for High-Speed Machining

2012 ◽  
Vol 134 (6) ◽  
Author(s):  
Valéry Bourny ◽  
Florent Swingedouw ◽  
Thierry Capitaine ◽  
Aurélien Lorthois ◽  
Jérôme Dubois ◽  
...  
Keyword(s):  
Embedded System ◽  
High Speed ◽  
Ease Of Use ◽  
High Speed Machining ◽  
Workpiece Surface ◽  
Finishing Process ◽  
Contact Sensor ◽  
Magnitude Variation ◽  
Machining Operations ◽  
First Contact

This work presents a method implemented in an embedded system to detect the first contact between a high-speed machine tool and a workpiece surface with high accuracy, reliability and ease-of-use. This method is based on impedance magnitude variation measurements and the computation of a correlation function. A specific sensor was designed from this method for testing purposes in actual industrial conditions. This work is focused on the detection of the first contact between the tool and the workpiece surface. The purpose of this paper is to explore the efficiency of impedance spectroscopy and to identify a method to detect the first contact between a tool and a workpiece efficiently in high-speed machining operations and for the finishing process in particular.

Time Molding in Rough Milling of Circular Cavity

2012 ◽  
Vol 723 ◽  
pp. 87-93
Author(s):  
Xiao Ping Ren ◽  
Zhan Qiang Liu ◽  
Yi Wan
Keyword(s):  
High Speed ◽  
Manufacturing Industry ◽  
Cutting Speed ◽  
Circular Cavity ◽  
Rough Machining ◽  
Machining Time ◽  
Workpiece Surface ◽  
High Productivity ◽  
Radial Depth ◽  
Rough Milling

Numerical controlled milling is widely used in the manufacturing industry because of its high productivity and workpiece surface quality. The aim of this work is to establish a methodology to evaluate the rough machining time and to predict optimal values of cutting speed to minimise machining time of circular cavity, during high speed milling. The circular cavity is divided into volumes distributed according to the real radial depth. The obtained results show that the proposed method is consistent with the actual situation.

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