03 / Projects & Case Studies

Projects & Case Studies

Production-focused examples of process thinking, verification and practical learning.

CASE 01

CNC Process Optimisation

Challenge: Variation in machining parameters and cycle behaviour.
Approach: Improving machining parameters, cycle consistency and process stability — adjusting feeds, speeds, tooling and sequence to reduce variation and keep parts in tolerance across shifts.
Manufacturing relevance: Stable cycles and consistent dimensions matter across every shift.
Key learning: Assess the complete process rather than changing one parameter in isolation.

ParametersCycle consistencyStability

CASE 02

Challenge: Confirming a setup before committing a batch to production.
Approach: A disciplined loop before any batch runs: confirm the setup, machine the first part, measure it, correct offsets or program, approve — then repeat production with confidence.
Manufacturing relevance: First-off checks connect the setup, drawing and measured component.
Key learning: Approval follows measurement and correction, never assumption.

InspectionOffsetsApproval

CASE 03

Challenge: Translating drawing requirements into a practical machining sequence.
Approach: The transition from operating CNC equipment to setting it and then programming it — turning drawings and models into toolpaths, with operator experience informing every decision.
Manufacturing relevance: Toolpaths must suit the machine, workholding and component geometry.
Key learning: Operator experience informs programming decisions and verification.

CAD/CAM3D toolpathsSetting

CASE 04

Challenge: Making useful production knowledge accessible without losing engineering judgement.
Approach: Using AI as a support tool in production — always checked against engineering knowledge.
Manufacturing relevance: Documentation and analysis support operators and manufacturing teams.
Key learning: AI output needs technical verification before it informs production decisions.

AIKnowledgeCI