scholarly journals Multi-Dimension Tool Wear State Assessment Criterion on the Spiral Edge of Milling Cutter

2021 ◽  
Author(s):  
Ying Tian ◽  
Liming Yang
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Three Dimensions ◽  
Depth Information ◽  
Assessment Criterion ◽  
Milling Cutter ◽  
Lighting Condition ◽  
Assessment Index ◽  
Dimensional Assessment ◽  
Wear Region

Abstract In the assessment of the tool wear state for the spiral edge of milling cutter based on machine vision, the traditional assessment criterion is often inaccurate due to the problem of information missing or incomplete especially near the tip area. In order to deal with this problem, different lighting-condition setting and additional non-image information compensation techniques are needed . In view of this, an integration tool wear detection method combined line laser edge detection and machine vision is proposed. Subsequently, the combined data acquirement experimental system is designed and built, which can simultaneously acquires two types of parameters: diameter and images under the same detection condition. Then, based on the above information, a multi-dimension series assessment criterion is proposed consisting of three dimensions index: The one-dimensional assessment index gives the average wear value of the spiral side, which mainly used as data ordination and characterizes the rule of tool wear degradation; the two-dimensional assessment index describes the contour of the wear region and calculates the area value, which can predict the change of the tool wear stage more precisely; the three-dimensional assessment index gives the 3D morphology by adding depth information within the wear region and quantified the volume of the worn-off part, which provides clues for early warning of the deterioration caused by the tool worn. Experiments proved that the multi-dimension series assessment criterion is helpful to reflect the trend of tool life and give a more accurate assessment of the tool wear state for the spiral edge of milling cutter.

Does the Body Image Exist in Three Dimensions? The Study of Visual Mental Representation of a Body and a Nonbody Object

2001 ◽  
Vol 92 (1) ◽  
pp. 223-233
Author(s):  
D. P. McCabe ◽  
D. I. Ben-Tovim ◽  
M. K. Walker ◽  
D. Pomeroy
Keyword(s):  
Spatial Information ◽  
Mental Image ◽  
The Body ◽  
Three Dimensions ◽  
Long Term Memory ◽  
Depth Information ◽  
Mental Images ◽  
Term Memory ◽  
3 Dimensional

Do the mental Images of 3-dimensional objects recreate the depth characteristics of the original objects' This investigation of the characteristics of mental images utilized a novel boundary-detection task that required participants to relate a pair of crosses to the boundary of an image mentally projected onto a computer screen. 48 female participants with body attitudes within expected normal range were asked to image their own body and a familiar object from the front and the side. When the visual mental image was derived purely from long-term memory, accuracy was better than chance for the front (64%) and side (63%) of the body and also for the front (55%) and side (68%) of the familiar nonbody object. This suggests that mental images containing depth and spatial information may be generated from information held in long-term memory. Pictorial exposure to views of the front or side of the objects was used to investigate the representations from which this 3-dimensional shape and size information is derived. The results are discussed in terms of three possible representational formats and argue that a front-view 2½-dimensional representation mediates the transfer of information from long-term memory when depth information about the body is required.

Research on tool wear detection based on machine vision in end milling process

2012 ◽  
Vol 6 (4-5) ◽  
pp. 431-437 ◽  
Author(s):  
Jilin Zhang ◽  
Chen Zhang ◽  
Song Guo ◽  
Laishui Zhou
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
End Milling ◽  
Milling Process ◽  
End Milling Process

A Study of On-Machine Micro Milling Cutter Condition Inspection Based on Machine Vision

2018 ◽  
Vol 6 (3) ◽  
Author(s):  
Xi Zhang ◽  
Yuanyuan Shi ◽  
Benzheng Zhang ◽  
Chunying Si
Keyword(s):  
Machine Vision ◽  
Axial Direction ◽  
Industrial Applications ◽  
Micro Milling ◽  
Inspection System ◽  
Fusion Method ◽  
Edge Image ◽  
Milling Cutter ◽  
Dimension Measurement ◽  
Online Process

In order to inspect the condition of micro milling cutter automatically and accurately in the online process, a dedicated micro milling cutter condition inspection system was established in this paper, which can effectively inspect micro cutter condition from both radial and axial direction. The key methods—the automatic dimension measurement and the fusion method for compositing all-in-focus cutting edge image of micro milling cutters—are studied. The experiments verify that the proposed methods and the developed inspection system can fulfill the needs of industrial applications.

scholarly journals Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Liyong Wang ◽  
Peng Sun ◽  
Min Xie ◽  
Shaobo Ma ◽  
Boxiong Li ◽  
...  
Keyword(s):  
Path Planning ◽  
Machine Vision ◽  
Driver Assistance System ◽  
Vision System ◽  
Intelligent Transportation ◽  
Assistance System ◽  
Advanced Driver Assistance System ◽  
Depth Information ◽  
Driver Assistance ◽  
Temporary Road

Great changes have taken place in automation and machine vision technology in recent years. Meanwhile, the demands for driving safety, efficiency, and intelligence have also increased significantly. More and more attention has been paid to the research on advanced driver-assistance system (ADAS) as one of the most important functions in intelligent transportation. Compared with traditional transportation, ADAS is superior in ensuring passenger safety, optimizing path planning, and improving driving control, especially in an autopilot mode. However, level 3 and above of the autopilot are still unavailable due to the complexity of traffic situations, for example, detection of a temporary road created by traffic cones. In this paper, an analysis of traffic-cone detection is conducted to assist with path planning under special traffic conditions. A special machine vision system with two monochrome cameras and two color cameras was used to recognize the color and position of the traffic cones. The result indicates that this novel method could recognize the red, blue, and yellow traffic cones with 85%, 100%, and 100% success rate, respectively, while maintaining 90% accuracy in traffic-cone distance sensing. Additionally, a successful autopilot road experiment was conducted, proving that combining color and depth information for recognition of temporary road conditions is a promising development for intelligent transportation of the future.

Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection

2019 ◽  
Vol 158 ◽  
pp. 219-225 ◽  
Author(s):  
Md. Sultan Mahmud ◽  
Qamar U. Zaman ◽  
Travis J. Esau ◽  
Gordon W. Price ◽  
Balakrishnan Prithiviraj
Keyword(s):  
Powdery Mildew ◽  
Machine Vision ◽  
Disease Detection ◽  
Lighting Condition ◽  
Powdery Mildew Disease

Study of Tool Wear Monitoring Using Machine Vision

2020 ◽  
Vol 54 (3) ◽  
pp. 259-270
Author(s):  
Ruitao Peng ◽  
Haolin Pang ◽  
Haojian Jiang ◽  
Yunbo Hu
Keyword(s):  
Tool Wear ◽  
Machine Vision ◽  
Tool Wear Monitoring ◽  
Wear Monitoring

Evaluation of Social Network Sites

2013 ◽  
Vol 3 (4) ◽  
pp. 28-42
Author(s):  
Francisco J. Miranda ◽  
Antonio Chamorro ◽  
Sergio Rubio
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Delphi Study ◽  
Active Form ◽  
Three Dimensions ◽  
Assessment Index ◽  
General Terms ◽  
The Social ◽  
Important Challenge ◽  
Marketing Tool

Social networks are one of the more notable sociological phenomena of the last years. Moreover, its apparition and acceptance by majority of the citizens also suppose an important challenge for the firms. Social networks are a new and relevant channel of communication and interaction with their consumers. For this, firms have to create his own place in the social network and manage of active form the content that shares and the dialogue that is supported by their followers. In the first part of this paper we explain the creation of an index to evaluate the presence of the companies in the social network more used to international level, Facebook. The Facebook Assessment Index (FAI) is formed by several indicators grouped in three dimensions: popularity, interactivity and content. The weights for each category were obtained as recommended by a Delphi study conducted with 10 independent experts (community managers and internet marketing experts). In the second part, we applied this index to the 150 largest firms according to Fortune 2011 ranking. At present, only 44% of these firms tested had an international official Facebook page. The results showed that the larger firms are those that in general terms best manage their presence on Facebook, have the greatest number of followers and a higher degree of interactivity with them. However, the most interesting contribution of this work lies not in identifying firms that achieve higher scores on the FAI, but in comparing the pages with each other and making suggestions of ideas and practices that may improve a firm's Facebook presence as a marketing tool.

Experimental Study of Cutting Performance and Tool Wear in Dry Side Milling of Aluminum Alloy with DLC-Coated HSS-Co Cutter

2012 ◽  
Vol 523-524 ◽  
pp. 64-69
Author(s):  
Yoshio Mizugaki ◽  
Kazuki Takafuji ◽  
Koichi Kikkawa ◽  
Teppei Kuroda ◽  
Taro Kimura
Keyword(s):  
Aluminum Alloy ◽  
Tool Wear ◽  
Tool Life ◽  
Cutting Speed ◽  
Cutting Performance ◽  
Experimental Results ◽  
Steel Matrix ◽  
Milling Cutter ◽  
Side Milling ◽  
Radial Depth

This paper presents the experimental results of cutting performance and tool wear of a milling cutter in dry side milling of aluminum alloy A2017. The milling cutter consists of Co-bonded High-Speed-Steel matrix with Diamond-Like-Carbon coating (abbrev. DLC-coated HSS-Co cutter). The machining experiments were carried out under cutting speed of 63 to 189 [m•min-1] and feed of 0.08 [mm/tooth/rev], and the criterion of tool life was the generation of gauge and/or scratch on a machined surface. The experimental results support that the DLC-coated cutter in up cutting has good performance among four types of combination by the presence or absence of coating and the up/down cutting manner. They also showed that the tool life of DLC-coated cutter in up cutting under cutting speed of 157 [m•min-1] was corresponding to the cutting distance of 80 [m] with average width of flank wear 102 [μm] and that in down cutting was 60 [m] with 85 [μm]. In the range of cutting distance up to 100 [m], the resultant cutting force with the DLC-coated cutter was smaller than that with a non-coating cutter. In case of the DLC-coated cutter in up cutting under the cutting speed of 189 [m•min-1], a chatter vibration occurred during the initial cutting distance. In case of the radial depth of cut of 1.5 [mm], it lasted up to the cutting distance of 10 [m] and more.

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