DE
Case studies

From Engineering to Business Success

Our solutions guarantee measurable success along the entire value chain – from initial development to after-sales service.

Hybrid model of simulation and machine learning

Data driven modells

Hybrid models for performance optimization

  • Fusion of physical analytical simulations with AI data models.
  • Real-time forecasting for maximum process stability.
  • Adaptive optimization of industrial operations to improve resource efficiency.
Optimized coolant supply

Development

Optimization of coolant supply

  • Flow-optimized nozzle development using CFD simulation.
  • Efficient reduction of coolant consumption.
  • Sustainable improvement of tool life and process stability.
Flow simulation and design optimization

Physical Simulations

Flow analysis & design optimization

  • Virtual analysis of complex flow patterns without time-consuming prototypes.
  • Targeted reduction of pressure losses and turbulence for performance enhancement.
  • Precise prediction of heat transfer and material behavior under real-world conditions.
Computer vision spark pattern analysis

Computer Vision

Intelligent spark pattern classification

  • Real-time optical monitoring for precise process control.
  • AI-powered process scoring for consistent output.
  • Deep learning pattern recognition for automated process refinement.
Spectrogram-based process monitoring

Machining

Analysis of microphone & vibration data

  • Real-time detection of critical tool conditions.
  • Reliable inline quality assurance during cycle operations.
  • Immediate intervention capability via anomaly detection under 50 ms.
Real-time process monitoring

Quality Assurance

Real-time process monitoring

  • AI-supported detection of even the smallest deviations in real-time.
  • Seamless monitoring directly within the active production process.
  • Immediate status assessment to actively prevent scrap.
Inline quality inspection for grinding burn defects

Quality Assurance · Inline

Surface Burn Detection

  • Inline tracking of thermal material degradation during operations
  • Minimizing scrap accumulation via early structural discovery
  • Automated quality classification embedded in active loops
Predictive Maintenance System

Predictive Maintenance · Connected

Condition Monitoring & Diagnostics

  • Multi-sensory real-time health and structural degradation analysis
  • Failure forecasting tailored to eliminate unexpected production stops
  • Targeted optimization increasing Overall Equipment Effectiveness (OEE)
Intelligent machine tools

Intelligent Machine Tools

Sensing - Human-Centric - Autonomous

  • Multisensory real-time acquisition of machine and process data.
  • Intelligent status assessment and operator assistance systems.
  • AI-driven optimization for autonomous process adaptation.
Packaging technology process optimization

Packaging Technology

Process optimization for packaging machinery

  • Centralized process data analysis for increased operational safety.
  • Precise anomaly detection for real-time process stabilization.
  • Continuous parameter optimization to boost Overall Equipment Effectiveness (OEE).
Railway maintenance monitoring

Railway Applications

Condition monitoring & maintenance optimization

  • Precise measurement of acoustic roughness for direct rail condition analysis.
  • On-board acoustic analysis to detect squealing in curves.
  • Automated tracking of wear, track stiffness, and rail defect detection.
Digital office automation

Office & Workflow Optimization

Smart process design and digital automation

  • Efficient processing of complex company data for strategic decision-making.
  • Automation of time-consuming routine tasks (e.g., invoice or email management).
  • Implementation of paperless, intuitively searchable document management systems (DMS).