Research On Optimization Of Fiber Laser Cutting Process For Low Carbon Steel Plate

With the development of society and the advancement of technology,the automobile manufacturing industry,one of the national pillar industries,is booming,and a large number of advanced equipment and technologies are used in the manufacturing process,such as laser cutting equipment and industrial Internet technology.Improvements in product performance and quality in the process have helped.As an advanced manufacturing technology,laser technology plays an important role in the processing of automobile bodies and parts.At present,many automobile manufacturers have established laser processing production lines,which use laser cutting technology to perform contour cutting and hole processing on body sheets.Combined with laser welding technology,body parts can be spliced without welds,reducing the subsequent grinding process and manufacturing.Excellent quality body in white.In this paper,fiber laser is used to carry out cutting test of low carbon steel plate,and relevant experimental data of processing parameters and laser cutting quality are obtained.The mathematical model of laser cutting quality is established by response surface method,and the process parameters are optimized by multi-objective optimization algorithm.The main research contents are as follows:Firstly,through single factor test,the influence of processing parameters such as laser power,cutting speed,laser frequency,laser duty cycle and auxiliary gas pressure on roughness and slag amount was analyzed,and the relevant parameters in the subsequent response surface test were determined.Appropriate value range.The amount of dross and surface roughness of the cut material were measured using a precision electronic balance and a surface roughness meter.Afterwards,the Box-Behnken response surface experiment was designed,combined with the relevant data obtained from the experiment,the second-order response surface prediction model of the amount of slag and surface roughness was established,and the interaction relationship between the process parameters and the cutting quality was obtained.According to the results of variance analysis,it can be seen that the factors that significantly affect the amount of slag are: laser power,cutting speed,laser frequency and auxiliary gas pressure;the factors that significantly affect the surface roughness are: laser power,laser frequency,laser duty cycle and auxiliary gas pressure.Then,using the laser cutting quality prediction model as the objective function,the genetic algorithm is used to carry out multi-objective optimization on the amount of slag and surface roughness,and the Pareto optimal solution set is obtained,and the optimal laser cutting is selected according to the actual situation.Combination of process parameters.The optimal process parameters were obtained as follows: laser power 1000 W,cutting speed 40 mm/s,laser frequency 200 Hz,laser duty ratio 81.4%,and auxiliary gas pressure 0.8 MPa.This paper conducts laser cutting experiments on low carbon steel plates and summarizes the obtained experimental data to provide help for the establishment of an expert system for subsequent fiber laser cutting processing parameters,and to provide relevant basis for the establishment of laser cutting simulation models.