Automated Operation of Straightening Machines

For the automated operation of the straightening machine to be completed, a number of criteria are necessary.

The first is the parameter selection function: The stored empirical knowledge is applied to integrate the information on the plate verticality data obtained by the plate shape monitoring system and to select a set of suitable technical parameters for the plate to be straightened. Once the knowledge base system is established, it is possible to obtain a projection correlation between the plate perpendicularity and the processing parameters according to certain calculation methods. Application of this projection correlation allows to project different plate verticality’s into the technical parameters of the appropriate verticality.

At the same time, we should acquire and store the experience and knowledge of the operator in selecting the parameters. The operator selects the machining process parameters based on his experience. With the trend of various artificial intelligence algorithms, artificial intelligence algorithms can express the operator‘s own experience with certain mathematical thinking and create a database to store this intelligent experience and knowledge.



In addition, straightening machines require real-time online access to information about the verticality of the straightener‘s inlet and outlet plates. With the trend of new electro-optical measurement technology and image technology, information on plate perpendicularity can be obtained from short videos edited according to video. Only with these functions can the straightening machine be truly automated. Even with an automatic control system, the operators must wear labor protection during operation. If the straightening machine is started, they cannot leave their work station or idle. When the oil pressure of the hydraulic oil pump is stabilized, the straightening rolls are extended and then placed in the initial tapering area.

After stopping the main motor, the straightening work of the straightening rollers is also stopped, the straightening rollers are extended and then sent out to straighten the seamless steel pipe. If the straightening machine wants to flip the straightening, you can use the flip button to flip the server on the operator‘s table and then reverse the straightening. If the length of the steel is less than 2 meters or the diameter is more than 9 mm, we should work slowly.



In order to complete the automation of straightening machine control, the system requires the role of data analysis, plate shape own identification and plate quality management. In order to better complete the automation of incoming inspection report plate shape discrimination and straightening process parameter selection, the system software is used to simulate the plate shape straightening skilled hands and quality management in the daily work of plate shape detection and control of plate material.


(1) Knowledge acquisition role: to obtain and store the knowledge of the experience of the actual operating staff for parameter selection. The actual operating staff is based on their own work experience to carry out the selection of process parameters. Along with the development trend of artificial intelligence algorithm, the optimization algorithm can be used to show the actual operating staff‘s own working experience in a mathematical way of thinking, and create a database to store this intelligent experience knowledge.

(2) The role of plate shape detection: instant online access to the straightening machine import and export of plate straightness information content. Along with the development trend of electro-optical measurement process and image process, it is possible to obtain the content of plate straightness information from the plate surface recording according to the recording process processing.

(3) Parameter selection role: Using the stored experience knowledge, a set of suitable process parameters is selected for the straightened plate by incorporating the plate straightness data information obtained from the plate shape monitoring system. After the knowledge base system is created, a mapping association between the plate straightness and the process parameters can be obtained based on the optimization algorithm, and this mapping association can be used to map different plate straightness’s to the appropriate process parameters for that straightness.