SDM AI Engine Specialist

AI Reverse Engineering Engineer

Describe the physical part, damage, available files, accuracy, purpose, and intended output. The engineer builds a measurement, scanning, CAD reconstruction, material, manufacturing, design-intent, and validation workflow.

Expert-system capabilities

Conversational reverse-engineering intake

Measurement and scan-method planning

Point-cloud, mesh, and scan-quality review

Parametric, surface, or hybrid CAD reconstruction

Material identification and manufacturing recovery

Design-intent recovery and validation report

Conversational Engineering Intake

Describe the project naturally

Describe the part, process, machine, production problem, or engineering task in Arabic or English. I will extract what you provide and ask only for the missing critical information.

Engineering tools

Integrated reverse-engineering workspace

Project inputs

PartObjective

Envelope size mmRequired accuracy mmExpected quantity

GeometrySurfaceOutput Hidden or internal features exist Part is damaged or worn

Reverse engineering analysis

Reverse Engineering Strategy

Primary route: Hybrid metrology with CT scanning or disassembly/contact measurement for hidden features.

Capture undamaged symmetric or repeated regions and infer missing geometry only with explicit traceability.

Target accuracy: ±0.05 mm. Measurement capability should be materially better than the required tolerance.

Primary deliverable: Feature-based parametric CAD with datum-driven dimensions and design tables.

For low volume, balance reconstruction effort against direct manufacturing from validated CAD.

Reverse Engineering Knowledge Graph

Connected part, measurement, scan, mesh, feature, CAD, material, manufacturing, and validation knowledge

Physical parts and functions

Measurement systems

Scans and point clouds

Mesh quality and repair

Features and datums

CAD reconstruction routes

Materials and manufacturing

Inspection and validation

Results are preliminary engineering support. Final tolerances, material identification, functional dimensions, ownership and IP checks, safety-critical decisions, scan acceptance, CAD release, and manufacturing approval require verified evidence and qualified engineering review.