scholarly journals Grinding Wheel Loading Evaluation by Using Acoustic Emission Signals and Digital Image Processing

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4092
Author(s):  
Chien-Sheng Liu ◽  
Yang-Jiun Ou
Keyword(s):  
Image Processing ◽  
Acoustic Emission ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Grinding Wheel ◽  
Grinding Process ◽  
Gear Grinding ◽  
Wheel Loading ◽  
Grinding Machines

In the manufacturing industry, grinding is used as a major process for machining difficult-to-cut materials. Grinding is the most complicated and precise machining process. For grinding machines, continuous generating gear grinding machines are widely used to machine gears which are essential machine elements. However, due to its complicated process, it is very difficult to design a reliable measurement method to identify the grinding wheel loading phenomena during the grinding process. Therefore, this paper proposes a measurement method to identify the grinding wheel loading phenomenon in the grinding process for continuous generating gear grinding machines. In the proposed approach, an acoustic emission (AE) sensor was embedded to monitor the grinding wheel conditions; an offline digital image processing technique was used to determine the loading areas over the surface of Al2O3 grinding wheels; and surface roughness of the ground workpiece was measured to quantify its machining quality. Then these three data were analyzed to find their correlation. The experimental results have shown that there are two stages of grinding in the grinding process and the proposed measurement method can provide a quantitative grinding wheel loading evaluation from the AE signals online.

Grinding Wheel Loading Evaluation Using Digital Image Processing

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Hamed Adibi ◽  
S. M. Rezaei ◽  
Ahmed A. D. Sarhan
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Cutting Parameters ◽  
Grinding Wheel ◽  
Grinding Wheels ◽  
Wheel Surface ◽  
Metal Chips ◽  
Wheel Loading ◽  
Expensive Process

Wheel loading entails chip accumulation in porosities between grains or welding to the top of cutting grains. It is considered one of the most prevalent problems in grinding Nickel-based super alloys. Identification of wheel loading is an important issue for optimizing the dressing intervals, but it can be a time consuming and an expensive process. A novel technique based on digital image processing to determine the loading areas over the surface of CBN vitrified grinding wheels using the toolbox of MATLAB is presented in this paper. The optical characteristics of the metal chips, the abrasive grains and wheel bond are considered. Experiments were performed to examine the repeatability of the proposed technique. The results were verified by the use of a scanning electron microscope. Based on the proposed technique, the effects of cutting parameters on the loaded area to wheel surface ratio in relation to grinding performance were studied empirically.

scholarly journals Postpartum Blood Loss Measurement Using Digital Image Processing

2018 ◽  
Vol 73 ◽  
pp. 13023
Author(s):  
Siska Febrina Fauziah ◽  
Suryono Suryono ◽  
Melyana Nurul Widyawati
Keyword(s):  
Image Processing ◽  
Blood Loss ◽  
Blood Volume ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Delivery Care ◽  
Loss Measurement ◽  
Postpartum Blood Loss ◽  
Image Area

Most of maternal mortality is directly caused by obstetric hemorrhage and almost three-quarters of it take place in postpartum period. The risk of maternal death due to hemorrhage can be reduced with prompt and proper care that in turn relates to the blood loss measurement method used. Unfortunately, the most commonly practiced method is not yet accurate enough. This research proposes a postpartum blood loss measurement method using digital image processing. Initially, characterization is carried out to find out blood absorbance against digital image area and blood volume in the underpad. Results of this characterization then serve as the basis for blood loss measurement using digital image processing. This measurement basis is validated by measuring blood volume lost during delivery care. Results show that the area and volume of blood absorbed in the underpad has significant linear relation (R = 0.9734). Digital image processing can be used to measure postpartum blood loss with a high accuracy up to 83.7%. The use of this method is therefore an accurate and objective alternative to the other available method. Nonetheless, the use of this new method must also adhere to standard guidelines in delivery care as to ensure the utmost outcomes.

Research on Visible Measurement of Dispersion Spot at Four Quadrant Photoelectric Detector

2011 ◽  
Vol 328-330 ◽  
pp. 2086-2091
Author(s):  
Ling Kong He ◽  
Yong Gao ◽  
Shu Cun Ning
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Indirect Measurement ◽  
Detector Output ◽  
Simple Measurement ◽  
Low Efficiency ◽  
Four Quadrant

This paper presented a visible measurement method of dispersion spot at a four-quadrant detector based on digital image processing according to the problem of big measurement error and low efficiency in the existing production process used by the indirect measurement method of dispersion spot based on four-quadrant detector output signal. This method designed a visible measurement optical system and established a visible measurement mathematical model of four-quadrant detector dispersion spot, obtained the four-quadrant detector photosensitive surface and dispersion spot geometrical coordinates and size through digital image processing for the four-quadrant detector photosensitive surface and the dispersion spot, then got the adjustive parameter of out-of-focus distance automatically. The results of the experiment show that this method is intuitive and simple, measurement accuracy is improved from 0.02mm to 0.004mm and the measurement time is reduced from 15 minutes to 2 minutes.

Research on Digital Image Based Displacement Measurement Method

2012 ◽  
Vol 446-449 ◽  
pp. 3399-3404
Author(s):  
Nian Song Hong
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
High Precision ◽  
Digital Image ◽  
Measurement Method ◽  
Displacement Measurement ◽  
Feature Points ◽  
Digital Photogrammetry ◽  
Key Technology ◽  
Main Work

As the characteristics of high precision and non-contact measurement, digital photogrammetry technology is widely applied to displacement engineering measurement. On the basis of digital photogrammetry theory and the digital image processing technology, the main work of this paper is to find a method on displacement measurement method based on digital image which includes the key technology of feature points coordinates extraction from digital image and the algorithm of displacement measurement.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

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