In order to realize the domestic waste recycling and processing industry chain highly intelligent, automated garbage bag breaking. An improved DeeplabV3+ network model is proposed for garbage bag bag recognition and bag breaking by laser. The experiment uses binocular camera to calculate the depth information and position coordinates of the garbage bag body, the laser is adjusted to the path according to the positioning coordinates of the garbage bag body, and the parameter optimization design is carried out using fiber laser marking machine. The experimental results show that the improved Deeplabv3+ model in this paper has an average pixel accuracy of 95.95%, an average intersection and merger ratio of 88.66%, and a checking rate of 92.23%; and that the height estimation by binocular camera is able to satisfy the adjustment of laser out-of-focus amount. The results show that the improved model is able to realize the segmentation of garbage bag body and complex background, and the laser bag breaking is sufficient to meet the demand in the garbage disposal production line.
In order to study the effect of laser cutting process parameters on the slit width of garbage bags made of polyethylene (PE) material, Box-Behnken test was designed to test the cutting of polyethylene film using a 30 W fiber laser marking machine. Measurement of the slit width of polyethylene films using a Nikon microscope was used to analyze the pattern of the effect of different process parameters of the laser marking machine (amount of defocus, cutting speed, and laser power) on the slit width. Process parameters are optimized based on regression equations and actual cutting results. Based on the analysis of the experimental data and the modeling results, it can be determined that the effect of laser power and cutting speed on the slit width of polyethylene film is significant and strong, while the effect of the amount of laser defocus is relatively weak and of secondary importance. Finally, a validation test was conducted to obtain an average error of 6.167% in the model predictions.
NiTi shape memory alloys (SMAs) were utilized in electronics, medicine and aerospace, etc. One difficult point is the solid-state phase transformation of NiTi alloy during machining operations. Additive manufacturing offers a promising solution to this dilemma, which proves a new way for complex structure NiTi alloy. In this paper, we briefly introduce the research progress and status of additive manufacture (AM)-fabricated NiTi alloy at home and abroad. The phase transformation behavior was analyzed by varying AM parameters. Afterward, the previously reported superelasticity of as-built NiTi alloys in compressive and tensile stress states was summarized. The final section summarizes the main findings of tribological properties of NiTi alloys and outlines the trend for future work.
Based on the V-groove planing-ruling process, the Deform-3D finite element software was used to simulate the stress distribution and material flow characteristics during the planing, the residual stress of the grooved surface was analyzed using the point tracking function, and the change law of the amount of rebound was assessed. Subsequently, based on the basis of planning, the residual stress and rebound deformation change trend after completion of secondary ruling finishing was analyzed, and it was concluded that the secondary ruling finishing could effectively eliminate the rebound tendency of the V-groove, despite the notch quality being poor. It provides a new machining method for improving the quality of v-groove in industrial field.
Laser-assisted machining in-situ technology is an emerging hot spot in the processing field. The technology not only has an excellent performance in processing Cu, Al, and other tough metals but also is an effective method for surface treatment and microfabrication of difficult-to-process materials such as engineering ceramics, high-temperature alloys, and composite materials. And technology has an excellent performance in improving machining accuracy, surface quality, tool life, machining efficiency, and so on. Firstly, the principle of the technology is explained, followed by the introduction of the research progress of scholars at home and abroad in recent years from the perspective of laser in-situ auxiliary multiple different processing methods, finally, the existing problems and future development direction of the technology is summarized and prospects.
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