scholarly journals An Industrial Vision System to Analyze the Wear of Cutting Tools

2017 ◽  
Vol 869 ◽  
pp. 183-194
Author(s):  
Christina Gillmann ◽  
Tobias Post ◽  
Benjamin Kirsch ◽  
Thomas Wischgoll ◽  
Jörg Hartig ◽  
...  
Keyword(s):  
Image Processing ◽  
Cutting Tool ◽  
Wear Behavior ◽  
Vision System ◽  
Cutting Tools ◽  
Processing Methods ◽  
Comparative Visualization ◽  
Image Series ◽  
Measurement And Evaluation

The wear behavior of cutting tools directly affects the quality of the machined part. The measurement and evaluation of wear is a time consuming and process and is subjective. Therefore, an image-based wear measure that can be computed automatically based on given image series of cutting tools and an objective way to review the resulting wear is presented in this paper. The presented method follows the industrial vision system pipeline where images of cutting tools are used as input which are then transformed through suitable image processing methods to prepare them for the computation of a novel image based wear measure. For multiple cutting tool settings a comparative visualization of the wear measure outputs is presented. The effectiveness of the presented approach is shown by applying the method to measure the wear of four different cutting tool shapes.

Evaluation of Computer-assisted Image Enhancement in Minimal Invasive Endoscopic Surgery

2004 ◽  
Vol 43 (04) ◽  
pp. 362-366 ◽  
Author(s):  
F. Vogt ◽  
W. Hohenberger ◽  
D. Paulus ◽  
H. Niemann ◽  
C. H. Schick ◽  
...  
Keyword(s):  
Image Processing ◽  
Minimal Invasive ◽  
Image Sequences ◽  
Computer Assisted ◽  
Processing Methods ◽  
Temporal Filtering ◽  
Endoscopic Images ◽  
Filter Size ◽  
Image Pairs

Summary Objectives: This paper focusses on the evaluation of the usage of computer-aided image processing methods for minimal invasive surgery. During video endoscopy of visceral cavities the images are displayed directly on the monitor without further processing. In the course of the operation the former good quality of the images decreases due to typical disturbances like bleeding, smoke or flying particles. These disturbances can be reduced by using image processing methods like color normalization, temporal filtering or equalization. Methods: In this double-blinded analysis, 14 surgeons with different levels of experience evaluated 120 image pairs and 5 image sequences, directly comparing original and processed images or movies. Results: Color normalization and equalization proved to significantly enhance video endoscopic images. With regard to temporal filtering, an improvement could be seen in the image sequences with filter size 5 being a greater enhancement than filter size 3. Comparing the state of experience and its influence on the results, it occurred that the experienced surgeons preferred the original color while altogether agreeing that the color-normalized images were better. Conclusions: The results obtained in the present evaluation show that the image processing methods which were used can significantly improve the quality of video endoscopic images. As a result of this, necessary lavages of the operated area are reduced and a better overview and orientation for the surgeon can be reached.

Effectiveness of the Cryogenic Treatment of Tungsten Carbide Inserts on Tool Wear When in Full Production Operations

2004 ◽  
Author(s):  
Kenneth A. Arner ◽  
Christopher D. Agosti ◽  
John T. Roth
Keyword(s):  
Tool Life ◽  
Cutting Tool ◽  
Cryogenic Treatment ◽  
Cutting Tools ◽  
Process Variable ◽  
Production Lines ◽  
Industrial Partner ◽  
Full Production ◽  
Carbide Inserts

As a cutting tool wears, the quality of the parts being produced by the tool are reduced. Therefore, it is important to change cutting tools whenever the wear on the tool begins to cause unacceptable or out-of-specification parts. However, frequent replacement of tooling is not only expensive, it also results in a loss of production throughput. Therefore, in order to lower tooling costs and increase production rates, it is vital to extend cutting tool life. Thus, this research focuses on establishing the effect that cryogenically treating carbide inserts has on the overall tool life when the tools are operating in production. To validate the effectiveness, multiple treated and untreated cutting tools for five styles of inserts are examined. The cutters are tested in production lines that are fabricating parts for an industrial partner where the only process variable that is changed is the cryogenic treatment of the tooling. For the five insert styles tested, each style provided very consistent changes in overall tool life. However, the amount of improvement was dependent on the tool style. One style was found to have its life doubled, whereas, another style had its life decreased. Possible causes for this difference in effectiveness of the treatment are presented, along with a discussion concerning the actual costs savings that the treatment represents for the industrial partner.

scholarly journals Can the Image Processing Technique Be Potentially Used to Evaluate Quality of Frying Oil?

2019 ◽  
Vol 2019 ◽  
pp. 1-12
Author(s):  
Patchimaporn Udomkun ◽  
Bhundit Innawong ◽  
Wantakan Sopa
Keyword(s):  
Image Processing ◽  
Contact Angle ◽  
Vision System ◽  
Processing Technique ◽  
Frying Oil ◽  
Image Processing Technique ◽  
Frying Time ◽  
Polar Materials ◽  
Highly Correlated

The objective of this study was to investigate the feasibility of a computer vision system (CVS) for assessing the contact angle of frying oil. The oil was used to fry carbohydrate- and protein-based foods for 40 h, and the oil was collected for measuring free fatty acids (FFA), peroxide value (PV), total polar materials (TPMs), and FOS reading (dielectric constant). The results showed that FFA linearly increased with frying time (R2 > 0.95) while the polynomial correlation between TPMs and FOS reading as a result of time was observed (R2 > 0.97). The contact angle obtained from CVS was highly correlated with all chemical qualities (R2 > 0.94), except PV. In addition, the contact angle models could be used to adequately predict FFA, TPMs, and FOS reading of frying oil (R2 > 0.91). This result suggested that the image processing technique through CVS could be an appropriate alternative to chemical analysis, especially for small- and medium-scale industrial frying.

Qualification of Coatings to Predict Wear Behavior of Micro Blasted Cutting Tools

2010 ◽  
Vol 438 ◽  
pp. 23-29 ◽  
Author(s):  
Fritz Klocke ◽  
Christof Gorgels ◽  
Arne Stuckenberg ◽  
Emmanouil Bouzakis
Keyword(s):  
Tool Life ◽  
Zirconium Oxide ◽  
Cutting Tool ◽  
Wear Behavior ◽  
Cutting Tools ◽  
Production Engineering ◽  
Coating Technology ◽  
Testing Method ◽  
Increase Tool Life ◽  
Tool Treatment

In today’s production engineering nearly every cutting tool is coated. In the field of coating technology and tool treatment blasting is a common way to increase tool life or hold it on a constant level for several reconditioning steps. The latest innovation referring blasting are micro blasted coatings. For this technology a parameter variation was examined and the consequential tool life was compared with common testing method for tool systems in order to qualify the coating treatment. The investigations were carried out using an aluminum and zirconium oxide as blasting abrasive and by varying the blasting parameters pressure and duration. Finally, the treatment led to an optimized tool wear behavior due to micro blasting of the coating and the wear behavior could be referenced against the testing methods.

scholarly journals Cutting Tool Wearing Identification Through Predictive Maintenance and Its Impact on Surface Quality

2021 ◽  
Author(s):  
Jose Maria Gonzalez Castro ◽  
Giselle Ramirez Sandoval ◽  
Eduard Vidales Coca ◽  
Nuri Cuadrado Lafoz ◽  
Francesc Bonada
Keyword(s):  
Surface Quality ◽  
Industry 4.0 ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Predictive Maintenance ◽  
Smart Manufacturing ◽  
Long Time ◽  
The Media ◽  
Tool Vibrations

Smart manufacturing has been in the media for a long time, but the reality shows that traditional mechanical manufacturing industries have not been able to implement data solutions aligned with Industry 4.0 standards. This work inquiries into the possibility of measuring cutting tool vibrations for CNC turning machines and presents the data analysis and a predictive model to identify tool wearing that can affects integrity surface quality of the manufactured component. These preliminary results are orientated towards implementing a predictive maintenance methodology in cutting tools.

Wear Behavior of Multilayer Nanocomposite TiAlSiN/TiSiN/TiAlN Coated Carbide Cutting Tool during Face Milling of Inconel 718 Superalloy

2017 ◽  
Vol 47 ◽  
pp. 11-16 ◽  
Author(s):  
Bilal Kursuncu ◽  
Halil Caliskan ◽  
Sevki Yilmaz Guven ◽  
Peter Panjan
Keyword(s):  
Tool Life ◽  
Inconel 718 ◽  
Cutting Tool ◽  
Elevated Temperatures ◽  
Wear Behavior ◽  
Cutting Tools ◽  
Face Milling ◽  
Carbide Cutting Tool ◽  
Inconel 718 Superalloy ◽  
Coated Carbide

The Inconel 718 superalloy is one of the most-used nickel based superalloys in the aerospace industry due to its superior mechanical properties, for instance, high thermal and chemical resistance, and high strength at elevated temperatures. However, the work hardening tendency, low thermal conductivity and high hardness of this superalloy cause early tool wear, leading to the material to be called as a hard-to-cut material. Therefore, deposition of a wear resistant hard coating on carbide cutting tools has a critical importance for longer tool life in milling operations of the Inconel 718 superalloy. In this study, carbide cutting tools were coated with multilayer nanocomposite TiAlSiN/TiSiN/TiAlN coating using the magnetron sputtering technique, and wear behavior of the coated tool was investigated during face milling of the Inconel 718 superalloy under dry conditions. Abrasive and adhesive wear mechanisms were founded as main failure mechanisms. The nanocomposite TiAlSiN/TiSiN/TiAlN coated carbide cutting tool gave better wear resistance, and thus it provided 1.7 times longer tool life and a smoother surface (Ra<0.18 μm) on the Inconel 718 material than the uncoated one.

ELID Grinding Technology of Nano-Material Cutting Tool

2012 ◽  
Vol 155-156 ◽  
pp. 960-964
Author(s):  
Ji Cai Kuai ◽  
Fei Hu Zhang ◽  
Ya Zhong Liu
Keyword(s):  
Surface Roughness ◽  
Cutting Tool ◽  
Low Cost ◽  
Cutting Tools ◽  
Cemented Carbide ◽  
Elid Grinding ◽  
Carbide Cutting Tool ◽  
Edge Radius ◽  
Ultra Precision

As ELID grinding technology is characterized by simpleness, practicality, low cost and so on, it is wildly used in ultra-precision sharpening, ultra-precision grinding, ultra-precision polishing and some other fields of difficult-to-cut material. ELID grinding technology was applied in the grinding of cutting tool in this paper, and the cutting tools with nano-grained cemented carbide, common cemented carbide, nanoY-TZP ceramics and some other materials were respectively grinded. Then, the surface quality of their anterior and posterior grinding horns and their edge radius were studied and compared with traditional grinding technology of cutting tool. The results show that the surface roughness and edge radius of nano-grained cemented carbide cutting tool are respectively Ra2nm and 0.3μm, the surface roughness and edge radius of common cemented carbide cutting tool are respectively Ra20nm and 1μm and the surface roughness and edge radius of nanoY-TZP ceramic cutting tool are respectively Ra60nm and 0.2μm after grinding by applying ELID grinding technology, which are far better than that from traditional grinding technology; this further proves that the adoption of ELID grinding technology in the grinding of cutting tool is feasible.

scholarly journals Cutting tool quality improvement: a case study of electronic parts manufacturer

2020 ◽  
Vol 2 (2) ◽  
pp. 30-36
Author(s):  
Thanatorn Chuenyindee ◽  
Piyaphong Yongphet ◽  
Phongchayont Srisuwan
Keyword(s):  
Statistical Methods ◽  
Manufacturing Industry ◽  
Cutting Tool ◽  
Cutting Tools ◽  
Modern Manufacturing ◽  
Parts Manufacturing ◽  
Electronic Parts ◽  
The Cost

Electronic parts are an important part in the modern manufacturing industry. The purpose of this study was to enhance the quality of cutting tools in electronic parts manufacturing process by utilizing statistical methods. Through these approaches, it was found that the cost of precision boring blade (S2F0409R05F35R10PTD) was significantly decrease from 457 THB to 315 THB, this research can maintain the process capability value (Cpk) at the customer satisfaction level (rather than 1.5) and reduce production cost from 2,104,739 THB per year to 1,598,857 THB per year (5 months payback period). The proposed statistical methods approaches could also be applied to other electronic parts manufacturing industries worldwide.

Cutting Tool Wear Detection and Tool Management Using Visual Sensors

1999 ◽  
Vol 11 (2) ◽  
pp. 135-139 ◽  
Author(s):  
Liu Wei ◽  
◽  
Akira Ishii ◽  
Seiji Hata ◽  
Keyword(s):  
Tool Wear ◽  
Tool Life ◽  
Cutting Tool ◽  
Vision System ◽  
Cutting Tools ◽  
Ccd Cameras ◽  
Tool Management ◽  
Outer Corner ◽  
Machining Center ◽  
And Control

It is vital to detect tool wear automatically and control tool life in unattended machining. We studied a vision system that detected wear of cutting tools and predicted tool life. The system targeted measuring cutting drills set in a usual machining center. The system involves 2 CCD cameras that monitor the top and side of a drill, and an image processor. Two image processing algorithms are presented – one to detect drill breakage by analyzing the drill side and one to detect wear including flank, chisel edge, and outer corner wear by matching the top views of new and worn drills.

Study on Volumetric Tool Wear Measurement Using Image Processing

2014 ◽  
Vol 670-671 ◽  
pp. 1194-1199 ◽  
Author(s):  
Jian Cheng Liu ◽  
Guang Xi Xiong
Keyword(s):  
Image Processing ◽  
Tool Wear ◽  
Image Matching ◽  
Stereo Matching ◽  
Cutting Tool ◽  
Vision System ◽  
Ccd Camera ◽  
Depth Estimation ◽  
Processing Technique ◽  
Image Processing Technique

This paper presents a method of measuring the volumetric tool wear by use of the image processing technique. A single CCD camera based stereo vision system is built to acquire the image pair. The crater wear’s boundary of the cutting tool is then detected, and then the 3D volumetric shape of the worn region on the rake face is reconstructed through the developed image matching algorithms, and the crater’s volume and depth is estimated. A Matlab software system is developed to perform image acquisition, calibration, image rectification, image adjustment, stereo matching, crater’s depth estimation, and the representation of the volumetric tool wear. The feasibility of the proposed method is verified through experiments.

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