Tool condition monitoring using the chain code technique, pixel matching and morphological operations

Sharma, Ekta; Shivali,; Jyotsna, .; Mahapatra, Prasant Kumar; Doegar, Amit

doi:10.1109/ciact.2017.7977270

Cited by 7 publications

(5 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Then, in the image processing phase, the software details the area of interest with the integrated functions of MATLAB® [8], to finally analyze the "data output" that the software provides and conclude the results obtained. The digital treatment of images studies the set of processes and techniques that allow to manipulate the image in such a way that the result allows to highlight certain information contained in it [15,16]. In this section some basic concepts will be introduced, where some techniques of digital image processing were studied, fundamental to understand the application implemented in this project.…”

Section: Methodsmentioning

confidence: 99%

Wear analysis in cutting tools by the technique of image processing with the application of two-dimensional matrices

Arévalo-Ruedas

Blanco

Flórez-Solano

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

The useful life of the tools is a very important economic factor in the metal industry, so any improvement of the tool or material that can extend the useful life of the tools is productive. Tool deterioration can cause damage, cracking and vibration to the tool, and even damage to the machine. Effective tool wear control is most important. Effective tool wear control is most important. At present, there are some tools that can obtain the necessary conditions through digital image processing, and study their lifespan according to their work cycle, as well as the types of possible relationships between the pixels of the image and the different modes of operation, allowing the extraction or isolation of the objects considered. This work analyzes the wear of the tool with the application of two-dimensional matrices with the toolbox of the MATLAB software, which allows to monitor the status of the inserts with the comparison of images in gray scales, in addition, a method of analysis based on interfaces is also being studied; through it, users can access the database that has been implemented, as well as a set of images used to verify the functions developed, determining the wear on the cutting tool.

show abstract

Section: Methodsmentioning

confidence: 99%

Wear analysis in cutting tools by the technique of image processing with the application of two-dimensional matrices

Arévalo-Ruedas

Blanco

Flórez-Solano

2021

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

show abstract

“…The different classi cations of tool wear are ank, crater, nose, notch wear, etc. [15,17]. The ank wear is one of the most important and common wear that affecting on drastically decreasing in cutting tool performance [18,19].…”

Section: Tool Wear Mechanismmentioning

confidence: 99%

“…Otherwise, the tool wear cannot reliable observed and evaluated by the developed system. Pixel matching is claimed that it is one of the best image processing techniques for accurately detecting tool wear area within machine vision system [15]. The pixel matching [9,15,16,[23][24][25] is a method that converted images captured by CCD camera to binary images and counting the number of pixels within the selected area on the tool surface to determine emerged wear (Figure 2).…”

Section: Cutting Tool Wear Image Capturing and Analyzing Techniquesmentioning

confidence: 99%

“…Pixel matching is claimed that it is one of the best image processing techniques for accurately detecting tool wear area within machine vision system [15]. The pixel matching [9,15,16,[23][24][25] is a method that converted images captured by CCD camera to binary images and counting the number of pixels within the selected area on the tool surface to determine emerged wear (Figure 2). Algorithm of the developed system has been set up as an automatic comparison of the number of objective pixels between the unused (so-called the referent tool) and worn tools.…”

Section: Cutting Tool Wear Image Capturing and Analyzing Techniquesmentioning

confidence: 99%

“…This is an image that occupies only 1 bit per pixel, with only two color values; 0 or black and 1 or white, respectively. The condition of the used cutting tool is then analyzed [14,15]. Analysis techniques are varied from various researches.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A model approach for in-process tool condition monitoring in CNC turning using machine vision

Sawangsri

Wattanasinbumrung

2022

Int J Interact Des Manuf

View full text Add to dashboard Cite

Tool wear monitoring and real-time predicting tool life during the machining process is becoming a crucial element in modern manufacturing to properly determine the ideal point to replace tool, remains a challenge currently. In this paper, the model approach for in-process monitoring and predicting progressive tool wear by using machine vision is proposed. The developed method adopts machine vision to acquire tool wear images from a CCD camera. The emerged wear analysis is conducted based on the in-progress of signal processing on captured tool wear images, received throughout the cutting process. This automated analysis is carried out with programming to assess and compare a number of pixels of cutting edge images between cutting tools before machining and during the machining process.The developed system is evaluated through experiments of actual cutting conducted on the CNC turning machine with the proposed system installed to evaluate progressive wear during the machining process.Experimental results are capable of indicating the emerged wear at the current state by comparing the number of pixels between the new and used tools. Average ank wear (VB) is also evaluated linked to tool rejection criteria.The developed system is validated by the 3D microscope measuring actual wear on the used tool after cutting experiments. Comparative wear analysis is then performed by nding the correlation equation of pixels examined by a developed system and SMr2 value measured by the microscope. The results showed that the relationship between the number of pixels and SMr2 is a strong correlation.

show abstract

Contactless Measurement of Error in Lathe Tool Positioning

Kumari,

Pathak,

Vashist

et al. 2023

2023 3rd International Conference on Intelligent Technologies (CONIT)

View full text Add to dashboard Cite

Tool condition monitoring using the chain code technique, pixel matching and morphological operations

Cited by 7 publications

References 7 publications

Wear analysis in cutting tools by the technique of image processing with the application of two-dimensional matrices

Wear analysis in cutting tools by the technique of image processing with the application of two-dimensional matrices

A model approach for in-process tool condition monitoring in CNC turning using machine vision

Contactless Measurement of Error in Lathe Tool Positioning

Contact Info

Product

Resources

About