Established proof domain LMD / DED Exafuse-linked

AI for Laser Metal Deposition and Directed Energy Deposition

The established technical proof domain behind Manish Sharma Lab.

This hub keeps the LMD/DED authority layer easy to navigate without duplicating the detailed pages. It connects process monitoring, machine vision, robotic deposition, industrial repair, RFQ intelligence, and inspection-aware decision support.

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Scope

What this domain includes

Laser Metal Deposition

Directed Energy Deposition

Laser cladding

Industrial repair

Robotic deposition

Process monitoring

Machine vision

RFQ intelligence

Inspection evidence

Public context

Established public context

The public proof domain is tied to Exafuse, public profile material, public research context, and public case-study sources.

Exafuse Industrial LMD/SLM services, case studies, and RFQ context. → About Manish Sharma Public career background and technical context. → Evidence Base Checked facts, field notes, and source links. → Industrial Proof Map Public Exafuse cases connected to the site themes. →

Frameworks

Applied LMD/DED framework library

These framework routes keep their LMD specificity because that specificity is the public authority asset.

Working framework LMD Quality Evidence Ladder Separate process awareness, AI flags, inspection evidence, and field performance so each claim uses the right proof. Open framework Interactive LMD Repairability Index Score material, damage, access, machining, inspection, economics, and criticality before calling a repair promising. Open framework Interactive LMD-AI Readiness Score Check whether an LMD workflow has the data foundations needed for useful AI-assisted monitoring. Open framework Toolkit LMD RFQ Toolkit Provide schemas, prompts, decision rules, and checklists for safer RFQ preparation. Open framework Working framework LMD Failure Atlas Map failure modes, process signals, AI visibility, and validation evidence in one vocabulary. Open framework Working framework LMD-AI Maturity Model Define maturity stages for LMD data capture, analytics, decision support, and closed-loop development. Open framework

Tools and RFQ resources

Convert vague requests into usable facts

Tools LMD vs SLM, repairability, and RFQ structuring tools. → LMD RFQ Toolkit Schemas, prompts, rules, and checklists. → RFQ Schema → Decision Rules → Quality Checklist →

Evidence and research

Source-aware public context

Evidence Base → Core LMD-AI Sources → 500-record LMD/DED literature map → Industrial Proof Map →

Writing and definitions

Short notes and glossary pages

Use these pages when terminology, monitoring limits, RFQ structure, or process selection needs to stay precise.

Lab Notes → Glossary → Melt-Pool Monitoring → Laser Metal Deposition → Directed Energy Deposition → Laser Cladding →

Industrial services

Manish Sharma Lab is a public technical site. For industrial LMD/SLM services, company capabilities, case studies, or RFQs, use Exafuse as the industrial-service context.

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Established domain

Follow the LMD/DED evidence trail

Industrial AI ThesisSense, Model, Decide, Verify.Open →Evidence BaseChecked facts, field notes, and source links.Open →Core LMD-AI SourcesCurated source map for AI and Laser Metal Deposition.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 →