Why this page exists
The existing 500-record map is broad metadata. This page is a smaller, curated starting map for people who need to understand which source areas matter before reading deeper.
Curated research map
Core Sources for AI and Laser Metal Deposition
A curated starting map for engineers, students, and AI agents. It complements the broad 500-record reference map; it does not pretend to be a complete systematic review.
How to use this source map
Use it to choose what to read next, not as a final literature review. Working-draft rows should be replaced only when a real source URL is confirmed.
What is still missing
The next improvement is to replace working-draft source categories with verified standards pages, review papers, and stable public source URLs without inventing paper details or DOIs.
Suggested next search queries
DED-LB/M terminology, LMD process monitoring review, in-situ monitoring metal additive manufacturing review, machine learning metal additive manufacturing review, laser cladding repair inspection, LMD quality evidence.
Categories
How the source map is organized
LMD / DED fundamentals
Start with terminology and process-family boundaries before comparing LMD, DED, DED-LB/M, laser cladding, SLM, or LPBF.
Process monitoring and melt-pool monitoring
Use these sources to understand what signals can indicate, what they cannot prove, and how signals connect to inspection evidence.
AI / machine learning in additive manufacturing
Use these sources to evaluate data foundations, labels, validation, model limits, and decision-support boundaries.
Defect formation and failure modes
Use these sources to connect porosity, lack of fusion, cracking, dilution, distortion, and property mismatch to physical evidence.
Repair and cladding applications
Use these sources to understand when local deposition, surface restoration, coating, machining, and inspection planning matter.
Quality, inspection, and validation
Use these sources to keep quality claims tied to NDT, dimensional inspection, metallography, hardness, mechanical testing, and service risk.
Standards and terminology
Use these sources when exact definitions matter. This page should not be treated as standard wording.
Source map
Categories to read before making strong LMD-AI claims
Rows marked as working draft are source categories to verify, not citations.
Terminology category
LMD / DED fundamentals
Keeps LMD, DED, DED-LB/M, cladding, SLM, and LPBF from being mixed together.
Working draft - standards source URL not yet verified
Public technical-resource category
LMD / DED fundamentals
Gives a reliable starting point for process-family boundaries and additive manufacturing vocabulary.
Working draft - public source URL not yet verified
Review-paper category
Process monitoring and melt-pool monitoring
Useful for understanding what in-situ monitoring can observe and why monitoring is not final release evidence.
Working draft - review source to verify
Review-paper category
Process monitoring and melt-pool monitoring
Useful for linking melt-pool signals, thermal history, geometry, and inspection outcomes in DED/LMD.
Working draft - review source to verify
Review-paper category
AI / machine learning in additive manufacturing
Useful for model categories, data limits, labels, validation boundaries, and decision-support claims.
Working draft - review source to verify
Review / handbook category
Defect formation and failure modes
Useful for connecting porosity, lack of fusion, cracking, dilution, distortion, and property mismatch to inspection evidence.
Working draft - source to verify
Public industrial case studies
Repair and cladding applications
Shows repair, cladding, build-and-coat, and large-part LMD situations without confidential project data.
Public Exafuse source map below
Standards / inspection category
Quality, inspection, and validation
Keeps quality claims tied to inspection, testing, acceptance criteria, and service risk.
Working draft - source to verify
Method and governance category
Decision systems / AI governance
Keeps AI claims bounded by uncertainty, escalation, human review, and verification evidence.
Working draft - source to verify
Process-selection category
Additive manufacturing process selection
Helps compare LMD/DED, cladding, SLM/LPBF, machining, replacement, and hybrid routes.
Working draft - source to verify
Verification queue
Sources to verify before citation
These items are intentionally not cited as papers or standards yet. Add URLs only after the exact source is confirmed.
ISO/ASTM additive manufacturing terminology source
NIST additive manufacturing / DED public resources
Review paper on in-situ monitoring in metal additive manufacturing
Review paper on DED / LMD process monitoring
Review paper on machine learning in metal additive manufacturing
Review or handbook source for DED/LMD defect formation and failure modes
Quality, inspection, and validation source for metal additive manufacturing
Decision-system or AI-governance source for human review, uncertainty, and verification
Process-selection source comparing LMD/DED, SLM/LPBF, cladding, repair, and hybrid routes
Existing source anchors
Public sources already used by the site
These links are already present in the evidence layer and public Exafuse proof map.
NIST Directed Energy Deposition overviewOpenASTM DED standard announcementOpenAhn - Directed Energy Deposition Process: State of the ArtOpenSharma et al. - Laser metal deposition of lattice structures by columnar built-upOpenNIST/JOM 2024 - parallel monitoring in powder-blown DEDOpenOptics and Lasers in Engineering 2019 - optical monitoring for laser-aided DMDOpenOpenAlex 500-record LMD/DED literature mapOpenLinkedIn / public profileOpen
Exafuse homepageVerified production Exafuse route.OpenExafuse servicesVerified production Exafuse route.OpenExafuse metal additive manufacturingVerified production Exafuse route.OpenExafuse repair and modificationVerified production Exafuse route.OpenExafuse laser claddingVerified production Exafuse route.OpenExafuse technologyVerified production Exafuse route.OpenExafuse qualityVerified production Exafuse route.OpenExafuse materialsVerified production Exafuse route.OpenExafuse case studiesVerified production Exafuse route.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenRequest Exafuse reviewCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenRequest Exafuse reviewCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenExafuse contactCommercial RFQ and company contact route.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.OpenContact ExafuseCurrent target is a safe Exafuse production route while the exact deep link is verified.Open
Disclaimer
This page is a curated starting map, not a complete literature review or formal standard. Exact technical claims should be checked against the original source, standard, inspection requirement, and engineering context.
Established domain