Design of Automatic Detection Device for Steel Bar Surface Defects

2012 ◽  
Vol 532-533 ◽  
pp. 390-393 ◽  
Author(s):  
Jian Chuan Zhang ◽  
Wu Bin Li ◽  
Chang Hou Lu
Keyword(s):  
Image Processing ◽  
Surface Quality ◽  
Automatic System ◽  
Surface Defects ◽  
Detection System ◽  
High Luminance ◽  
Linear Ccd ◽  
Steel Bar ◽  
And Performance

To inspect the surface quality of steel bar, we designed an automatic system including linear camera and laser. Through the comparison among kinds of cameras, we select linear CCD to our system. The laser is also chosen by us with its high luminance and performance. Through a series of computation, we select the appropriate camera lens to our device. At last, we draw the whole detection system. This device has been used well and provides a good foundation for prospective image processing.

Simulation of human judgement in a robot-based adjustment system

Robotica ◽  
1984 ◽  
Vol 2 (4) ◽  
pp. 209-214 ◽  
Author(s):  
Fazel Naghdy ◽  
John Billingsley ◽  
David Harrison
Keyword(s):  
Decision Making ◽  
Quality Control ◽  
Automatic System ◽  
Computer Modelling ◽  
Performance Variables ◽  
Adjustment Procedure ◽  
And Performance ◽  
Adjustment System

SUMMARYA robot-based automatic system for adjusting energy regulators in electric cookers is described in this paper. It is claimed that this system improves the quality of the regulators and increases productivity. First, the operator's intuitive judgement and decision-making are simulated on a microcomputer; the structure and performance variables of the regulator are then described. A discussion of computer modelling of the regulator then follows, leading to the development of an algorithm for the adjustment procedure and overall strategy of the system. Experiments on 2,000 regulators showed that this automated operation was superior to the manual procedure as regards consistency and accuracy. This technique based on a robot may be applied to quality control and manufacture of a variety of similar products.

A study of conditions of surface defects formation when bar rolling at a bar and wire mill and methods of their elimination

2021 ◽  
Vol 77 (10) ◽  
pp. 1053-1059
Author(s):  
I. A. Pankovets ◽  
V. I. Voznaya ◽  
A. V. Vedeneev ◽  
M. N. Vereshchagin
Keyword(s):  
Temperature Gradient ◽  
Surface Quality ◽  
Surface Defects ◽  
Temperature Deformation ◽  
Controlled Cooling ◽  
Wire Mill ◽  
The Core ◽  
Local Overheating ◽  
Rolling Production

Quality of long products surface is an important consumer property of it. In the process of measures elaboration aimed at the increase of long products surface quality, in particular of bars produced at the mill 370/150 of ОJSC “BMZ – managing company of holding “BMK”, studies were accomplished by metallographic laboratory. It was established that defects being revealed at the bars finishing, don’t relate to the quality of continuously casted billet (CCB), but formed in the process of deformation. Studies of the mechanism of surface defects formation on hot-rolled bar of rolling origin – deformation fissure and wrinkles were carried out. Results of numerical simulation of rolling in roughing group of stands at various temperature-deformation parameters presented. Regularities of formation of surface defects on the bar in the finished product were revealed. It was shown that the reason of the surface defects of rolling origin – deformation fissure and wrinkles was a high temperature gradient between the core and the surface of billet, originated from local overheating of surface in the angles zone of CCB resulted in nonuniformity of drawing out of different layers of the billet being deformed. To eliminate the defects, minimum possible temperature gradient between the surface and the core of a billet by controlled rolls cooling should be provided. By calculation, the maximum permissible temperature of the working surface of the rolls of the rough group of stands was established, and empirically the actual temperatures of the rolls with the current production technology, as well as the temperature of the rolls support bearings seats of the rolls were measured. The technical and technological possibilities for improving of rolling technology on a bar and wire mill in order to improve the surface quality of rolled bars were demonstrated. The existing technology was adjusted and new technological modes of rolling with controlled cooling of the rolls were established, which made it possible to significantly reduce the rejection of the finished product due to defects in rolling production. A device was proposed for the roughing group of stands, which enables to minimize the ingress of coolant onto the bar rolled.

Low-cost automatic system for the control of the surface quality of coated and uncoated wafers

2013 ◽  
Author(s):  
Alexandre Joerg ◽  
Julien H. Lumeau ◽  
Myriam Zerrad ◽  
Michel Lequime
Keyword(s):  
Surface Quality ◽  
Automatic System ◽  
Low Cost

scholarly journals Precise Compact System For Ionizing Radiation Detection And Signal Processing With Advanced Components Integration And Electronic Control

2015 ◽  
Vol 66 (4) ◽  
pp. 220-225 ◽  
Author(s):  
Jakub Navařík ◽  
Petr Novák ◽  
Jiří Pechoušek ◽  
Libor Machala ◽  
Dalibor Jančík ◽  
...  
Keyword(s):  
Nuclear Physics ◽  
Mössbauer Effect ◽  
Detection System ◽  
Radiation Detection ◽  
Mossbauer Effect ◽  
Natural Iron ◽  
Different Types ◽  
And Performance ◽  
Physics Experiments

Abstract Quality and performance of a detection system are the crucial parameters in all nuclear physics experiments. This system serves as a source of all signals and noises to be processed. Better performance, higher amplification and lower noises occurrence simplify subsequent signal analysis. In the field of Mössbauer spectroscopy, the spectrum quality and Mössbauer effect are crucial parameters which are affected especially by the quality of the detection system. These parameters were evaluated for different types of a detection setup. Finally an improvement of the spectrum quality by 15% and Mössbauer effect by 7% has been achieved for the natural iron reference absorber measurement in comparison with previous version of the detection system.

scholarly journals Detection of Avian Pox Disease using K-Means and Svm Classifer

2019 ◽  
Vol 8 (9) ◽  
pp. 3238-3241
Keyword(s):  
Image Processing ◽  
Impulse Noise ◽  
Performance Test ◽  
Digital Images ◽  
Median Filter ◽  
Performance Tests ◽  
Crucial Step ◽  
Avian Pox ◽  
And Performance

This paper discusses about various methods involved in detection of avian pox in the birds using images. Digital images are corrupted while sending and receiving the images because of noisy sensors which degrade the quality of image. Pre-processing becomes an initial and crucial step in image processing to remove the noise and maintain fine details and texture of the image. Pre-processed images can be used for further work. Mean, Median, Weiner, Mean Maximum, Mean Minimum filters are used and performance tests are made using Signal Noise Ratio. Based on the performance test, removal of impulse noise is well done by Median filter and produces the best result when compared to other filters. K-Means clustering and SVM are used for identification of the disease.

scholarly journals Peeling Damage Recognition Method for Corn Ear Harvest Using RGB Image

2020 ◽  
Vol 10 (10) ◽  
pp. 3371 ◽  
Author(s):  
Jun Fu ◽  
Haikuo Yuan ◽  
Rongqiang Zhao ◽  
Zhi Chen ◽  
Luquan Ren
Keyword(s):  
Image Processing ◽  
Theoretical Basis ◽  
Detection System ◽  
Post Processing ◽  
Recognition Method ◽  
Damage Recognition ◽  
Working Parameters ◽  
Corn Kernels ◽  
Rgb Image

Corn ear damage caused by peeling significantly influence the output and quality of corn harvest. Ear damage recognition is the basis to adjust working parameters and to reduce damage. Image processing is attracting increasing attentions in the field of agriculture. Conventional image processing methods are difficult to be used for recognizing corn ear damage caused by peeling in field harvesting. To address the this problem, in this paper, we propose a peeling damage recognition method based on RGB image. For our method, we develop a dictionary-learning-based method to recognize corn kernels and a thresholding method to recognize ear damage regions. To obtain better performance, we also develop the corroding algorithm and the expanding algorithm for the post-processing of recognized results. The experimental results demonstrate the practicality and accuracy of the proposed method. This study could provide the theoretical basis to develop online peeling damage detection system for corn ear harvesters.

Analysis of Steel Bar Surface Defects Based on Machine Vision

2012 ◽  
Vol 549 ◽  
pp. 1017-1020
Author(s):  
Wu Bin Li ◽  
Chang Hou Lu ◽  
Jian Chuan Zhang
Keyword(s):  
Machine Vision ◽  
Surface Quality ◽  
Surface Defects ◽  
Steel Bar ◽  
The Future ◽  
Surface Image

In order to guarantee the steel bar quality, we describe the category of steel bar surface defects in details. Generally, there are about two main categories of steel bar surface defects which include linear and area-like defects. Secondly, the characteristics of the steel bar surface image are analyzed at large. Both of them support a foundation for the future inspection of steel bar surface quality.

Research Progress of Improving Surface Quality of Microcellular Foam Injection Parts

2011 ◽  
Vol 66-68 ◽  
pp. 2010-2016 ◽  
Author(s):  
Yue Wang ◽  
Guang Hong Hu
Keyword(s):  
Injection Molding ◽  
Surface Quality ◽  
Dimensional Stability ◽  
Surface Defects ◽  
Research Progress ◽  
Microcellular Foam ◽  
Counter Pressure ◽  
Foam Injection Molding ◽  
Application Scope

Microcellular foam injection parts have many advantages such as saving material and energy, reducing cycle time, and processing excellent dimensional stability. Despite these advantages, the low surface quality problems limit its application scope seriously. In this study, the microcellular foam injection molding principle and some surface defects were introduced, and the technologies to improve surface quality, such as Gas Counter Pressure (GCP), Rapid Heat Cycle Molding (RHCM), and Film Insulation were summarized in detail. Finally, the prospect of CAE technologies about microcellular foam injection molding was proposed.

scholarly journals Quality Detection System of Transparent Nonel Tubes Based on Image Processing

2015 ◽  
Vol 9 (1) ◽  
pp. 697-702
Author(s):  
Guodong Sun ◽  
Wei Xu ◽  
Lei Peng
Keyword(s):  
Image Processing ◽  
Detection Method ◽  
Detection System ◽  
Recognition Rate ◽  
Human Vision ◽  
Detection Methods ◽  
Detection Accuracy ◽  
External Diameter ◽  
Quality Detection

The traditional quality detection method for transparent Nonel tubes relies on human vision, which is inefficient and susceptible to subjective factors. Especially for Nonel tubes filled with the explosive, missed defects would lead to potential danger in blasting engineering. The factors affecting the quality of Nonel tubes mainly include the uniformity of explosive filling and the external diameter of Nonel tubes. The existing detection methods, such as Scalar method, Analysis method and infrared detection technology, suffer from the following drawbacks: low detection accuracy, low efficiency and limited detection items. A new quality detection system of Nonel tubes has been developed based on machine vision in order to overcome these drawbacks. Firstly the system architecture for quality detection is presented. Then the detection method of explosive dosage and the relevant criteria are proposed based on mapping relationship between the explosive dosage and the gray value in order to detect the excessive explosive faults, insufficient explosive faults and black spots. Finally an algorithm based on image processing is designed to measure the external diameter of Nonel tubes. The experiments and practical operations in several Nonel tube manufacturers have proved the defect recognition rate of proposed system can surpass 95% at the detection speed of 100m/min, and system performance can meet the quality detection requirements of Nonel tubes. Therefore this quality detection method can save human resources and ensure the quality of Nonel tubes.

scholarly journals The object detection system of balinese script on traditional Balinese manuscript with findcontours method

2021 ◽  
Vol 11 (3) ◽  
pp. 177-184
Author(s):  
Putra Manuaba ◽  
◽  
Komang Ayu Triana Indah ◽  
Keyword(s):  
Image Processing ◽  
Image Quality ◽  
Edge Detection ◽  
Object Detection ◽  
Detection System ◽  
Main Issue ◽  
Age Factor

Lontar is a traditional Balinese manuscript with a Balinese script in it. Balinese traditional manuscripts can be more than 100 years old. The age factor of the Balinese manuscript has an impact on the Balinese script in it. Balinese script that has been written more than 10 years tends to be darker. This makes Balinese script not visible well, and this affects the image quality of the manuscript. This thing becomes the main issue in this research, Balinese script detection on Balinese manuscript images. the first of all is image processing using edge detection, canny and Sobel becomes the main algorithm of this process. After image processing, the Balinese manuscript will be processed with the findcontour method to detect an object that contains in it. The final process of this detection system is to separate detected objects into three main groups namely noise object, Balinese script object, and hole object. Application (Balinese script object detection system) is more accurate in detecting Balinese script objects in Balinese script under 1 year (new script), it tends to be more likely to find noise/dirt. This is because the writing of the lontar using a pencil first before using the knife media. This adds to the noise or dirt detected by the application The findcontour method can detect Balinese script objects with a detection result of 30% - 70% Balinese script objects.

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