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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: June 2026
Volume 11 | Issue 6
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24737
Article Published : 9361
Total Authors : 24875
Total Reviewer : 861
Total Countries : 169
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| Paper Title: | Automated Tool Wear Detection for Aircraft Industry Applications |
| Authors Name: | PRIYANGA .M , SAMVARTHIKA .C , SHANMATHI SRINIVASAN , SRI YALINI S R |
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IJRTI_212466
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| Published Paper Id: | IJRTI2605056 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | The growing demand for precision and reliability in aerospace manufacturing requires intelligent, automated solutions for tool condition monitoring. This project introduces a deep learning–based system for real-time detection and prediction of tool wear during high-speed drilling of Carbon Fiber Reinforced Polymer (CFRP) components. At its core is a hybrid CNN-LSTM model that captures both spatial and temporal patterns from multi-sensor data streams, including vibration, acoustic emission, and spindle current. The system operates non-intrusively, continuously analyzing drilling signals without disrupting production workflows. By mapping sensor signatures to tool wear stages, it enables predictive insights that support optimized tool replacement schedules, extended tool life, and improved safety standards. The proposed framework enhances production efficiency through automated, scalable, and intelligent wear monitoring, tailored for aerospace industry applications. |
| Keywords: | Tool Wear Detection, Deep Learning, CNN-LSTM, CFRP Drilling, Predictive Maintenance, Non-Intrusive Monitoring, Aerospace Manufacturing. |
| Cite Article: | "Automated Tool Wear Detection for Aircraft Industry Applications ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.a472-a476, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605056.pdf |
| Downloads: | 000205570 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2605056
Registration ID:212466
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: a472-a476 Country: Mayiladuthurai, Tamil Nadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605056 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605056 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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