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. Source rows marked as source link to be added should be replaced only when a real source URL is confirmed.
What is still missing
The next improvement is to replace placeholders 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 source link to be added are deliberate placeholders, not fake citations.
| Category | Source type | Why it matters | Link/status |
|---|---|---|---|
| LMD / DED fundamentals | Terminology source | Keeps LMD, DED, DED-LB/M, cladding, and powder-bed processes from being mixed together. | ISO/ASTM terminology source - source link to be added |
| LMD / DED fundamentals | Public technical resource | Gives a reliable starting point for Directed Energy Deposition terminology and AM process categories. | NIST additive manufacturing / DED resources - source link to be added |
| Process monitoring and melt-pool monitoring | Review paper | Useful for understanding what in-situ monitoring can observe and why monitoring is not final release evidence. | Review paper on in-situ monitoring in metal AM - source link to be added |
| Process monitoring and melt-pool monitoring | Review paper | Useful for linking melt-pool signals, thermal history, geometry, and inspection outcomes in DED/LMD. | Review paper on DED / LMD process monitoring - source link to be added |
| AI / machine learning in additive manufacturing | Review paper | Useful for model categories, data limitations, defect labels, and validation boundaries. | Review paper on machine learning in metal additive manufacturing - source link to be added |
| Defect formation and failure modes | Review / handbook source | Useful for connecting porosity, lack of fusion, cracking, dilution, distortion, and property mismatch to inspection evidence. | Source link to be added |
| Repair and cladding applications | Public industrial case studies | Shows real repair, cladding, build-and-coat, and large-part LMD situations without using confidential project data. | Public Exafuse case studies linked below |
| Quality, inspection, and validation | Standards / inspection resources | Keeps quality claims tied to inspection, testing, acceptance criteria, and service risk. | Source link to be added |
| Standards and terminology | Standards source | Important for avoiding invented definitions and overclaiming what a process or AI system proves. | ASTM / ISO additive manufacturing terminology - source link to be added |
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 overview → ASTM DED standard announcement → Ahn - Directed Energy Deposition Process: State of the Art → Sharma et al. - Laser metal deposition of lattice structures by columnar built-up → NIST/JOM 2024 - parallel monitoring in powder-blown DED → Optics and Lasers in Engineering 2019 - optical monitoring for laser-aided DMD → OpenAlex 500-record LMD/DED literature map → LinkedIn / public profile →
Exafuse homepage → CS15 bridge components → CS01 forging hammer repair → CS10 extrusion screw repair → CS13 build-and-coat drill → A03 LMD buyer guide → A04 LMD vs SLM → A06 large-part LMD → A12 monitoring and control → A21 BreitBahnDED → A25 year in powder → A29 forging hammer evaluation → A37 neural image processing →
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
Follow the LMD/DED evidence trail
Industrial AI ThesisSense, Model, Decide, Verify.Open →Evidence BaseChecked facts, field notes, and source links.Open →Industrial Proof MapPublic Exafuse cases and article signals.Open →LMD RFQ ToolkitSchemas, prompts, rules, and checklists.Open →Full Site MapEvery page and public machine-readable asset in one linked map.Open →