2009
DOI: 10.1243/09544054jem1268
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Application of computer vision for the prediction of cutting conditions in milling operations

Abstract: Machining conditions such as speed, feed, and depth of cut significantly affect tool wear, which in turn affects the surface quality and thus this is an area of research interest. With the growing emphasis on industrial automation in manufacturing, vision techniques play an important role in many applications. One of these applications is texture analysis. Although this technique has been extensively researched it has only infrequently been used to predict the cutting conditions of machined surfaces. This pape… Show more

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Cited by 15 publications
(12 citation statements)
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References 28 publications
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“…The Pixera PCI interface card is fitted inside the personal computer and is used to digitize the analogue image into 1280 Â 960 pixels (1.2 million pixels) with 16 bits of colour. The software, named GLCMTF (GLCM texture features), was fully developed in-house and was previously discussed in previous works [38,41]. It is capable of calculating all GLCM texture features, discussed in section 2, for up to 100 position operators (direction y and distance d) of the GLCM.…”
Section: Texture Features Of the Glcmmentioning
confidence: 99%
“…The Pixera PCI interface card is fitted inside the personal computer and is used to digitize the analogue image into 1280 Â 960 pixels (1.2 million pixels) with 16 bits of colour. The software, named GLCMTF (GLCM texture features), was fully developed in-house and was previously discussed in previous works [38,41]. It is capable of calculating all GLCM texture features, discussed in section 2, for up to 100 position operators (direction y and distance d) of the GLCM.…”
Section: Texture Features Of the Glcmmentioning
confidence: 99%
“…Gadelmawla 20,21 performed GLCM analysis on face turned and lapped surfaces to determine surface finish. In their another work, Gadelmawla et al 22 obtained a relationship between GLCM features with speed, depth of cut and feed rate for face milling operation. They also worked on the prediction of machining time by extracting GLCM features of face turned surfaces using regression analysis.…”
Section: Introductionmentioning
confidence: 99%
“…The use of dynamic SQL and criteria of tool select from database to recognize characteristics of the piece shape in .DXF format is presented by You et al 9 Finally, the case of tool sequence problems by Im and Walczyk, 10 the cutting condition effects as roughness presented by Sarma et al, 11 the prediction of cutting conditions by Gadelmawla et al 12 and path generation are included for milling CNC machines by Eladawi et al 3 The novelty of this research is a new method based on triangulation intersection approach from Poisson's equation applied to automatic selection of the tool CNC mill-lathe machine, showing an easy way to simulate pieces, eliminating the designer subjective decisions, to reduce tool selection mistakes, to make the selection process and to design faster, and hence, it does not require a priori knowledge in operations of milling and turning.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, in the case of tool selection problems in CNC machines, Oral and Cakir 7 and Edalew et al 8 developed an approach of tool selection based on mathematical methods and data composed of years of heuristic knowledge. The use of dynamic SQL and criteria of tool select from database to recognize characteristics of the piece shape in .DXF format is presented by You et al 9 Finally, the case of tool sequence problems by Im and Walczyk, 10 the cutting condition effects as roughness presented by Sarma et al, 11 the prediction of cutting conditions by Gadelmawla et al 12 and path generation are included for milling CNC machines by Eladawi et al 3…”
Section: Introductionmentioning
confidence: 99%