Digital manufacturing technologies
Advanced electronic systems
for predictive performance analysis
![](https://xelet.it/wp-content/uploads/2021/11/Rectangle-1.png)
The customer
The company, which contacted us, produces progressive pressing dies for the production of radiators.
The request
The company had two main problems that needed solving:
- Die ageing.
- Malfunction due to impurities with a reduction in pressing of about one tenth of a millimetre, which resulted in non-compliance of the final product, which was only noticed post production.
Xelet’s solution
To meet these requests, we created an electronic device that:
- Using vibration sensors, securely fitted to the upper part of the die, traces the oscillation curve during the action of the press, so as to obtain the error waveforms.
- It applies machine learning algorithms, which allow you to recognise the difference in the waveforms generated by vibrations.
- In this way, it automatically distinguishes between regular and abnormal operation.
![intelligenza artificiale](https://xelet.it/wp-content/uploads/2022/03/case-history-interno-intelligenza-artificiale.jpg)
![](https://xelet.it/wp-content/uploads/2022/03/customizzazione-2.jpg)
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