How does Manhart (Guangdong) CNC Machine Tool Co., Ltd. monitor material deformation in real-time during the rolling process?

**How to monitor material deformation in real-time during the rolling process**
Real time monitoring of material deformation is a crucial step in ensuring product quality and production efficiency during the rolling process. Through effective monitoring methods, deformation problems can be detected in a timely manner, process parameters can be adjusted, and product defects can be prevented. The following are the main methods for real-time monitoring of material deformation during the rolling process:
**1 Rolling process parameter monitoring**
Real time monitoring of rolling process parameters, such as rolling speed, reduction, rolling temperature, etc., is the basis for evaluating material deformation trends. By continuously tracking these parameters, the possibility of material deformation can be predicted.
**2 Measurement of material deformation**
Real time measurement of material deformation during rolling process using technologies such as laser ranging and machine vision. These technologies can obtain the geometric shape of the material surface in a non-contact manner, thereby accurately calculating the deformation amount.
**3 Rolling force and torque monitoring**
Rolling force and torque are important indicators reflecting the stability of the rolling process. By monitoring the changes in rolling force and torque in real-time, the degree of material deformation can be indirectly inferred.
**4 Temperature change monitoring**
Temperature changes have a significant impact on material deformation. Real time monitoring of temperature changes during the rolling process can detect abnormal temperature rise in a timely manner and prevent deformation caused by thermal stress.
**5 Surface quality inspection**
Real time monitoring of the surface quality of rolled materials using machine vision systems or infrared thermal imaging devices. By identifying surface defects such as cracks, wrinkles, etc., the degree and cause of material deformation can be determined.
**6 Data processing and analysis**
The collected real-time monitoring data needs to be processed and analyzed to extract key factors that affect material deformation. By using techniques such as data mining and machine learning, predictive models can be established to achieve early warning of material deformation.
**7 Early warning and fault identification**
Based on real-time monitoring data and predictive models, the system should have warning and fault identification functions. When abnormal deformation trends of materials are detected, the system should promptly issue warnings and prompt operators to take corresponding adjustment measures.
**8 Real time monitoring system integration**
In order to achieve the synergistic effect of the above functions, it is necessary to establish a real-time monitoring system. The system should be able to integrate various sensors, data acquisition devices, analysis software, etc., forming an efficient and stable information platform. By integrating real-time monitoring systems, comprehensive and accurate monitoring of material deformation during the rolling process can be achieved.
In summary, real-time monitoring of material deformation during the rolling process requires the comprehensive use of various technical means and equipment to establish an efficient and stable monitoring system. By continuously optimizing and improving system functions, the stability of the rolling process and product quality can be improved.