TMS Digital Spinning Intelligence Platform
DS-I (Digital Spinning Intelligence) is a data-driven engineering analysis platform developed by TMS. It processes real production data collected from CNC metal spinning machines (speed, feed, temperature, cycle time, surface observation, etc.) to determine the optimum process parameters. This minimizes micro-crack risks, improves surface quality, and optimizes overall production efficiency.
Process Steps
- 1. Data Collection - Collecting real-time sensor and operator data (rpm, feed, temperature, cycle time, visual notes).
- 2. Digital Analysis - Processing data through statistical methods (SPC, correlation analysis) and evaluating via graphs.
- 3. Optimization - Defining the optimum parameter ranges for surface quality, energy efficiency, and crack prevention.
- 4. Feedback Loop - Applying the optimized parameters in production and re-analyzing results for continuous learning.
- 5. NC Program Optimization - Using the analyzed data, the Spinning NC-program is optimized for feed rate, tool path, and process efficiency.
Key Benefits
- Quantifiable quality control in thermal spinning, shear forming, and calibration processes.
- Continuous digital learning from each production trial.
- Systematic reduction of energy, material, and time losses.
- Combining data-driven optimization with engineering intuition.
Conclusion
DS-I combines TMS's long-standing spinning expertise with advanced digital analysis, creating a continuously improving (Kaizen) data-driven manufacturing intelligence platform.
