Machine Visionbased Tool Location And Wear Monitoring In Micro Turning Optical Setup And Image Processing Approaches

• doi: 10.1109/ICICEC62498.2024.10808405
• title: Machine Vision-based Tool Location and Wear Monitoring in Micro turning: Optical Setup and Image Processing Approaches
• publisher: IEEE
• isbn: 979-8-3503-7652-4
• issn:
• rank: 2973
• access_type: LOCKED
• content_type: Conferences
• abstract: In micro turning, tool placement, wear, and breakage are crucial as they affect precision and surface finish. Flank wear is problematic since it impacts dimensional accuracy, and current methods that rely on CNC encoder inputs and radius compensation are insufficient for micro turning due to the small tool sizes involved. Detecting flank wear in micro turning is difficult as the tools are often too small for visual inspection, making monitoring at micron levels a challenge. This research investigates using machine vision to monitor tool position and flank wear in micro turning. The optical system, comprising a 12X super zoom lens and 3MP CMOS image sensor, is assessed alongside three lighting techniques: direct, indirect, and backlighting. Preliminary image analysis, using Gaussian filters and histogram equalization, indicates lighting's importance. Early results, comparing new and worn tools using exclusive operators, are promising, but further image enhancements are necessary for accurate classification and wear detection.
• article_number: 10808405
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10808405
• html_url: https://ieeexplore.ieee.org/document/10808405/
• abstract_url: https://ieeexplore.ieee.org/document/10808405/
• publication_title: 2024 First International Conference on Innovations in Communications, Electrical and Computer Engineering (ICICEC)
• conference_location: Davangere, India
• conference_dates: 24-25 Oct. 2024
• publication_number: 10808176
• is_number: 10808198
• publication_year: 2024
• publication_date: 24-25 Oct. 2024
• start_page: 1
• end_page: 6
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 20
• insert_date: 20241230
• index_terms:
  • ieee_terms:
    • Optical filters
    • Integrated optics
    • Visualization
    • Technological innovation
    • Accuracy
    • Lighting
    • Turning
    • Optical imaging
    • Optical sensors
    • Monitoring
  • author_terms:
    • Tool Flank Wear
    • Microturning
    • Histogram Equalization
    • XOR Analysis
    • Image Processing
  • dynamic_index_terms:
    • Image Processing
    • Tool Wear
    • Image Processing Approaches
    • Wear Monitoring
    • Tool Wear Monitoring
    • Machine Vision
    • Visual Navigation
    • Backlight
    • Backlit
    • Histogram Equalization
    • Zoom Lens
    • Zoom Lenses
    • Telephoto Lens
    • Wide Range Of Conditions
    • Total Wear
    • Master Image
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 979-8-3503-7652-4, isbnType: New-2005
  • format: Electronic ISBN, value: 979-8-3503-7651-7, isbnType: New-2005
• authors:
  • Author Name: Shalupriya M
    Affiliation: Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
    Author URL: https://ieeexplore.ieee.org/author/766983804811666
    ID: 766983804811666
    Order: 1
    Author Affiliations:
    • Department of Electronics and Communication Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
  • Author Name: K.P. Indira
    Affiliation: Department of Nanobiomaterials, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
    Author URL: https://ieeexplore.ieee.org/author/37089288448
    ID: 37089288448
    Order: 2
    Author Affiliations:
    • Department of Nanobiomaterials, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India

Image Sensor

• sensor_type: CMOS
• resolution: 3MP
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: 3mm
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: Not specified
• benefits: Enables digital imaging in applications such as micro turning tool wear detection.

Supporting Organizations

• supported_by: Saveetha Institute of Medical and Technical Sciences

Manuscript Details

• publication_date: 24-25 Oct. 2024

Relevancy Score

• score: 8
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • design considerations

Processed JSON Filename

request_244c35a6-8b73-4808-ae67-b85dfba74110-machine_visionbased_tool_location_and_wear_monitoring_in_micro_turning_optical_setup_and_image_processing_approaches.json