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AI-enabled dynamic finish machining optimization for sustained surface integrity
- Source :
- Manufacturing Letters. 29:42-46
- Publication Year :
- 2021
- Publisher :
- Elsevier BV, 2021.
-
Abstract
- While machining processes are typically leveraged to establish geometric features, many functional characteristics of advanced materials are directly determined by their machining-induced quality, i.e. surface integrity. Current modeling approaches struggle to predict surface integrity, and typically neglect the effects of progressive tool-wear, resulting in inefficient ‘static’ process parameters. We present a novel integrated approach based on model-informed artificial intelligence (AI), which quickly and efficiently optimizes ‘dynamic’ process parameters. By maximizing the useful life of a cutting tool over which required quality parameters can be maintained, our paradigm will enable significantly more efficient processing of next-generation materials and components.
- Subjects :
- 0209 industrial biotechnology
Cutting tool
Computer science
Process (engineering)
media_common.quotation_subject
02 engineering and technology
Integrated approach
Advanced materials
021001 nanoscience & nanotechnology
Industrial and Manufacturing Engineering
Reliability engineering
020901 industrial engineering & automation
Machining
Mechanics of Materials
Quality (business)
0210 nano-technology
media_common
Surface integrity
Subjects
Details
- ISSN :
- 22138463
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- Manufacturing Letters
- Accession number :
- edsair.doi...........d49bcdec071bcd22e2988f7ffa41d834