Research On The Key Technologies Of Laser Marking Robot For Aluminum And Alloy Bars

Aluminum and alloy bars are important products produced by non-ferrous metal casting.Various types of materials can be produced through secondary processing and are widely used in various industrial fields.The identification of aluminum and alloy bar production information is an important support for the informatization and intelligence of production management.As a direct component identification technology that has emerged,laser marking has achieved non-contact,zero consumables,low power consumption,and low cost advantages.It has become the preferred material identification technology in many industries.It is difficult to realize the application of laser marking-based aluminum and alloy bar production information marking.The main problems include: the position of the bar stacking space is not fixed,and it is difficult to locate the end face space;the end face of the bar is uneven and highly reflective,and the laser marking effect is difficult to guarantee.In response to the above problems,this article has completed the following research work:(1)Analyzing the bar marking in the industrial production environment,clarifying the related difficulties of bar laser marking,and determining the necessity and feasibility of developing a dedicated laser automatic marking robot.(2)A drive platform based on a six-axis arm industrial robot is proposed.Under the premise of following the principles of mechanical design,the marking platform is designed as a whole and in blocks,parameter calculation and selection of related equipment,and key components Perform the necessary stress and modal analysis.(3)A spatial positioning and alignment method based on visual servoing is proposed,and the main factors that affect the accuracy of marking positioning in the actual working environment are tested and analyzed,and a positioning algorithm based on convolutional neural network for facet feature recognition is designed.,And realize the automatic focusing of the laser through the alignment algorithm.(4)Carry out single factor marking experiment and orthogonal experiment on the end face of aluminum alloy bar under various process parameters,and establish multiple nonlinear regression equation.The differential evolution method is used to fit the model parameters,and the correlation equation between the laser control parameters and the gray value of the marking image is obtained.At the same time,through hand-eye calibration and camera calibration,the spatial positioning and alignment errors are reduced.(5)Designed and developed the laser marking control platform software,completed the experiment of the laser marking platform test prototype,analyzed and displayed the experimental results,and the results showed that the test prototype reached the expected goal.