Intelligent Length Measurement Method of Hot Forgings Combining Sub-pixel Edge Detection and Green Laser Scanning

Large components have a wide range of applications, and when forging them at high temperatures, accurate dimensional measurement is an important factor in ensuring the quality of the finished forgings. Due to the high temperature and the large size of the measured object, it is difficult to obtain high precision geometric parameters in non-contact measurement. And the traditional measurement is mostly manual measurement, resulting in low efficiency. Therefore, this paper proposes an intelligent length measurement method of hot forgings combining sub-pixel edge detection and green laser scanning. First, a measurement model based on green laser depth information is established by studying the relationship between green laser depth information and forging size. Then, an improved sub-pixel edge detection algorithm is proposed according to the characteristics of the hot forging image to obtain accurate light bar edge information, and then the length of the hot forging is calculated according to the measurement model. Finally, the relative position relationship between the forging and the light bar in the scanning measurement process is studied, and an intelligent measurement algorithm is proposed to realize the intelligent length measurement of the forging and to improve the measurement efficiency. Length measurement experiments were carried out in the laboratory, and the experimental results show that the measurement method proposed in this paper can realize the intelligent length measurement of forgings, and the accuracy meets the production requirements of large hot forgings.