Optimization of HPDC, LPDC process
Implementing an artificial intelligence system to optimize HPDC (High Pressure Die Casting) and LPDC (Low Pressure Die Casting) processes can bring numerous benefits to casting manufacturers. Here are some of the main advantages:
- Improved casting quality: The artificial intelligence system can identify factors affecting casting quality and detect potential defects even before the process is completed. This will make it possible to react quickly to potential problems and minimize defective products.
- Reducing the number of defects: With continuous monitoring of process parameters and their analysis by the artificial intelligence system, the number of defective castings can be reduced through early detection of irregularities and rapid intervention.
- Improving production efficiency: Eliminating defective castings will help increase production efficiency by reducing the time and materials consumed in producing castings that do not meet quality requirements.
- Access to process parameters for each casting: The artificial intelligence system makes it possible to collect and analyze data on each casting produced. This will make it possible to track production history, identify trends, and respond quickly to any changes in the process.
- Increasing competitiveness: The use of innovative solutions based on artificial intelligence can increase a company's competitiveness by improving product quality, reducing costs and increasing production efficiency.
In summary, implementing an artificial intelligence system to optimize HPDC and LPDC processes can bring significant operational and strategic benefits to an enterprise, helping to improve quality, productivity and competitiveness in the market.
The HPDC - High Pressure Die Casting process is a high-pressure casting process in a specially designed pressure machine. A PLC - Programmable Logic Controller managing the entire casting process collects the parameters of the production process.
It is necessary to monitor the quality parameters of the casting by performing, for example, leakage tests.
To combine casting process parameters along with quality parameters, casting tagging should be used. After combining the production process parameters with quality parameters, such a set can be subjected to machine learning and/or deep learning (neural networks).
Once an artificial intelligence model based on the latest ML - Machine Learning and DL - Deep Learning is developed, the quality of the casting can be predicted in real time and a set of optimal production parameters can be developed to produce a high-quality casting.
The LPDC - Low Pressure Die Casting process is a similar process, but there are lower machine short-circuit forces (less pressure).
Advantages of implementing an artificial intelligence system to optimize HPDC, LPDC processes:
- Improved casting quality
- Reduction in the number of defects
- Improved production efficiency by reducing defective castings
- Access to process parameters for each casting
- Increase competitiveness by using innovative solutions based on artificial intelligence