| Additive manufacturing technology has been applied in various industries by virtue of its rapidity,personalized customization and intelligence.The energy supply component of space rocket is the key to ensure the stable work of the rocket.By designing the composition structure of different fuel components to provide more kinetic energy with less fuel,the introduction of additive manufacturing technology in this field can improve the speed of its design verification and ensure its safety and reliability.The traditional SLA equipment cannot be applied in the field of explosion proof,and the traditional SLA control scheme cannot effectively control the explosion-proof servo motor.Therefore,this paper focuses on the design of key technologies in the explosion-proof SLA printing control system to achieve a good application of SLA printing technology in the field of energy-containing additive manufacturing and the improvement of the overall printing control effect.Based on the analysis of the servo scanning deflection unit’s system and SLA technology,this paper will study on the key technologies of motion planning and contour control.First of all,based on the analysis of traditional SLA technology and the explosion-proof design required in this paper,it is found that the key problem lies in the dynamic performance of the executive motor in the laser scanning deflection unit’s system,and this paper studied the key error sources of SLA technology.Based on the principle of laser scanning deflection unit’s system,the key component studied in this paper,a hardware experiment platform with the performance close to that of explosion-proof servo scanning deflection unit’s system was built.The software control platform of servo scanning deflection unit’s system was built based on TwinCAT3 to realize the rapid verification application of the control algorithm.Then,on account of the traditional SLA motion planning is not applicable to the servo scanning deflection unit’s system,this paper studies the aspects of path planning,correction algorithm and velocity planning.Firstly,the profile data of SLC files are read and analyzed to establish a contour tree of the single printing layer.Considering the overall quality and stability of the model,the contour bias algorithm is used to fill the inside of the model.The mesh correction of the laser scanning path is carried out to solve the errors caused by the mechanical installation of the system and the nonlinear approximation.Then,based on the ant colony algorithm,this paper implement the optimization of path planning.Finally,the speed forward-looking algorithm based on S-shaped acceleration and deceleration curve is used for speed planning to obtain the final CSV file for print.Aiming at the problem of contour control,this paper studies the control algorithm from two perspectives of time domain and position domain.For the traditional variable gain cross-coupling control method based on time domain,this paper designs the cross-coupling controller based on fuzzy theory,which improves the robustness and adaptivity.But this method requires the system with better single-axis tracking accuracy.Therefore,in this paper,based on the position of the velocity field theory to theoretical analysis and the contour control simulation validation.The traditional velocity field of continuous differentiable closed curve can achieve good control effect,but for polygon contour is not applicable,polygonal contours,this paper proposes a new velocity field building rules,the profile control effect and adaptability are verified by simulation.Finally,the control platform based on TwinCAT3 is used to verify the control algorithm designed in this paper,which can improve the contour control effect.Combined with motion planning and velocity field contour control,this paper finished the single-layer light curing printing experiment.Because the curing model is unevenness caused by the different laser scanning speeds,a real-time laser power following control strategy was proposed.The control effect of light curing printing realized by the control algorithm designed in this paper is significantly improved compared with the first-stage equipment. |