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NDE 4.0 — Unlocking Intelligent Data Management with Open-Source 3D Digital Twins
ICENDE 2025 Conference Presentation NDE 4.0

NDE 4.0 & Open-Source
3D Digital Twins

Unlocking Intelligent Data Management for NDT Laboratories — from reactive inspection to predictive, connected, cyber-physical infrastructure.

JC

Jayant Chandavarkar

CEO, OMS Business Digitalisation Pvt Ltd · 21 August 2025

International Conference on NDE — ICENDE 2025 Bengaluru, India OMS Business Digitalisation Pvt Ltd 12 slides · ~20 min

The Shift

From Reactive Inspection to Intelligent NDE

For decades, Non-Destructive Evaluation has been our silent guardian — detecting flaws, preventing failures. But the industry is now at an inflection point. Digital twins, IoT sensors, and open-source platforms are no longer experimental: they're production-ready.

This presentation — delivered at ICENDE 2025 — explores how testing and inspection labs can move from fragmented, paper-based workflows to a fully connected, cyber-human ecosystem. The opportunity is not theoretical. OMS has deployed this in practice across NDT companies in Australia, and the results are measurable.

3 Core technologies
converging
70% Cost savings with
open-source platforms
<15% Indian infra using
real-time monitoring
Introduction — Traditional NDE evolving to NDE 4.0 with digital twins
What is NDE 4.0 — Cloud, IoT, Big Data, ML, and Digital Twins

NDE 4.0 Explained

A Paradigm Shift in Inspection Technology

NDE 4.0, derived from Industry 4.0, combines Cloud computing, IoT sensors, Big Data analytics, Machine Learning, and Digital Twins into a unified inspection intelligence layer. Think of it as a nervous system for infrastructure:

🛰️

Sensors

The eyes and ears — continuous real-time condition data from physical assets

☁️

Cloud Computing

The brain — centralised processing, storage, and accessibility from anywhere

🔁

Digital Twins

The memory — living virtual replicas that update from sensor feeds

🧠

Machine Learning

The intuition — pattern recognition that flags anomalies before failures occur

Core Technology

Digital Twins in NDE

A digital twin is more than a 3D model — it's a living mirror of a physical asset. It watches sensor data, learns from historical patterns, and predicts where stress, fatigue, or cracks are likely to develop next. This shifts maintenance from scheduled guesswork to evidence-based prediction.

Real-time replicas for continuous condition monitoring

Simulate stress, fatigue, and crack propagation virtually

Link physical asset health to virtual simulation outcomes

Enable automated compliance documentation

Digital Twins in NDE — 3D bridge simulation with real-time sensor data
Open-Source 3D Platforms — Python API, IoT integration, no licensing fees

Why Open-Source

Accessible, Scalable, and Cost-Effective

Proprietary NDT software often requires expensive licences, vendor lock-in, and limited customisation. Open-source 3D platforms like OpenModelica and Blender flip that model — giving labs full control, Python API integration, and native support for real-time IoT data streams.

Python API integration
Real-time IoT data feeds
No licensing fees
Empowers SMEs
OpenModelica — system simulation
Blender — 3D twin visualisation

Evident's open ecosystem embraces this philosophy, leveraging the .nde format built on HDF5 — universally readable by Python, MATLAB, and other tools, enabling frictionless data exchange across inspection systems.

Predictive Maintenance

Early Detection = Reduced Downtime

A crack begins forming in a bridge girder. Embedded sensors detect stress anomalies. The digital twin simulates crack propagation. Machine learning forecasts failure probability. Maintenance is triggered — before disaster strikes. This is the predictive power of NDE 4.0 in action.

📡 Monitor

  • Crack propagation
  • Stress distribution
  • Structural fatigue

🧠 Analyse

  • Machine learning enhances predictive accuracy
  • Pattern recognition across multiple data streams

⚡ Act

  • Early detection triggers preventive maintenance
  • Automated compliance reports generated
Predictive Maintenance in Action — crack propagation, stress monitoring

Real-World Applications

Applications Across Industries

Digital twins and NDE 4.0 are already solving real problems across aerospace, energy, civil infrastructure, and manufacturing.

🌉

Bridge Structural Health Monitoring

Bridge Structural Health Monitoring
  • Embedded sensors continuously measure stress, fatigue, and displacement
  • Digital twins update in real time to predict failure zones
  • Preemptive maintenance scheduled before structural compromise

🌪️

Wind Turbine Blade Integrity

Wind Turbine Blade Integrity
  • Blade-mounted sensors capture vibrations, pressure changes, surface anomalies
  • IoT-connected twins simulate blade dynamics for proactive damage detection
  • Reduces costly offshore maintenance interventions

✈️

Aircraft Fuselage Crack Visualisation

  • Ultrasound, thermography, and strain data feed into live 3D fuselage models
  • Visualise crack growth paths and propagation trajectories
  • Automated compliance documentation for airworthiness records

🏭

Inline Inspection in Manufacturing

  • Non-contact NDT detects micro-defects on the production line
  • Digital twins reflect every inspection outcome in real time
  • Guides process tuning and quality control decisions
Benefits of Open-Source Digital Twins for NDT labs

Why Open-Source Twins

Benefits That Matter for Labs

Open-source digital twins enable NDT professionals to innovate without limits — cutting costs, enabling full customisation, and freeing labs from proprietary vendor dependency.

💰

Cost Reduction

Up to 70% savings vs proprietary NDE digitisation platforms

🔧

Full Customisation

Python APIs and open formats — adapt to any lab workflow

🏢

Ideal for SMEs

No per-seat licensing; scale from one user to an enterprise

🤝

Better Communication

3D visualisations bridge the gap between technical and non-technical teams

The India Opportunity

The Numbers That Define the Opportunity

India has the infrastructure scale, the developer talent, and the regulatory environment to lead the global NDE 4.0 shift.

🛢️

1.5M km

of pipelines across India

🌉

6,000+

bridges requiring inspection

📊

<15%

of infra using real-time digital monitoring

💻

5M+

software developers to build and lead globally

Open-source platforms can cut NDE digitisation costs by up to 70% compared to proprietary solutions — making India's mass adoption economically viable.

What's Next

Future Directions for NDE 4.0

The road ahead is immersive. The next wave of NDE innovation will combine streaming data, spatial computing, and distributed cloud-edge architectures to make inspection feel as natural as video calling.

📡

Real-Time Streaming Data

Continuous sensor streams feeding live digital twins with sub-second latency

🥽

AR/VR for Immersive NDT Visualisation

Walk through a 3D scan of a pipeline or fuselage — inspect remotely, in full 3D

Cloud + Edge Processing

Compute where the data is — edge for speed, cloud for intelligence

🌐

Remote Collaboration and Training

Multi-user inspection sessions across sites, countries, and time zones

Future directions — AR/VR, cloud, edge, remote collaboration for NDT
Conclusion — NDE 4.0 is a strategic leap for labs

Conclusion

NDE 4.0 is a Strategic Leap

NDE 4.0 is not a distant vision — it's deployable today. Open-source digital twins offer scalable, affordable solutions that labs of any size can adopt. The industry's challenge isn't technology readiness: it's the willingness to think beyond fragmented NDT apps and embrace the full eco-system.

NDE 4.0 is a strategic leap forward — not just an IT upgrade

Open-source digital twins provide scalable, affordable solutions

True adoption requires an ecosystem view: labs, clients, regulators, suppliers

India has the talent base and infrastructure scale to lead globally

About the Presenter

JC

Jayant Chandavarkar

CEO, OMS Business Digitalisation Pvt Ltd, Bengaluru

With over 22 years of experience in IT and enterprise application deployment across manufacturing and inspection industries, Jayant leads OMS's India operations — transforming how testing and inspection labs operate through cloud-based LIMS and NDE digitalisation.

jayant@omssoftware.com.au

See NDE 4.0 in Action with OMS

OMS has deployed connected lab workflows across NDT companies in Australia and India. Book a demo to see how your lab can transition from spreadsheets to a fully digital, audit-ready system.

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This article is published by OMS Software — operational management software built for testing, inspection & calibration companies. Learn what OMS does →