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Research on Body Pressure Simulation and Evaluation Considering the Material Property of Seat Cover 考虑座套材料特性的车身压力仿真与评价研究
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.111004
保国 袁
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引用次数: 0
Design and Simulation of Multifunctional Intelligent Seat 多功能智能座椅的设计与仿真
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.115055
子杰 陈
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引用次数: 0
Research on Aluminized Boundary of Car Lamp Parts 汽车车灯零件镀铝边界的研究
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.114039
佳焱 马
Based on the aluminizing process of automobile lamps, this paper studies the masking method of tooling in the non-aluminized area for the lamp parts with complex aluminized boundary structure. First, analyze the aluminized parts in the car lights, and determine four common aluminized boundary structure models; secondly, use a microscope to observe the aluminized transition area, and analyze the aluminized parts under different masking tooling parameters (H, J, Z) through a value and b value. And then, according to the analysis results, the design method of aluminized tooling with different aluminized boundary structures is given. Finally, the effectiveness of this conclusion is verified by practical cases.
以汽车车灯的渗铝工艺为基础,研究了具有复杂渗铝边界结构的车灯零件在非渗铝区域的模具掩模方法。首先,对汽车车灯中的镀铝件进行了分析,确定了四种常见的镀铝边界结构模型;其次,用显微镜观察渗铝过渡区,通过a值和b值对不同掩模工装参数(H、J、Z)下的渗铝件进行分析。然后根据分析结果,给出了不同渗铝边界结构的渗铝工装的设计方法。最后,通过实际案例验证了这一结论的有效性。
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引用次数: 0
Research of Engine Performance Monitoring Based on Support Vector Data Description 基于支持向量数据描述的发动机性能监测研究
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.113034
向财 于
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引用次数: 0
Parameter Optimization and Experimental Verification of Hydrodynamic Pressure Mechanical Seal in Aero Engine 航空发动机动液压力机械密封参数优化及实验验证
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.113030
伟 熊
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引用次数: 0
Application Research of MES System Based on Cast Pipe Industry 基于铸管行业的MES系统应用研究
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.115053
雪川 林
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引用次数: 0
Analysis of the Influence of Wire Tension in Prestressed Wire Winding Devices 预应力钢丝缠绕装置中钢丝张力的影响分析
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.114042
龙龙 禹
In view of the preload problem of the preload of the ultra-high pressure mold by the prestressed wire winding device, a new type of wire tension adjustment mechanism is designed to change the tension of the steel wire to adjust the prestress size of the mold. The mechanical model analysis of the generation of steel wire tension is carried out, and the axial stress change of steel wire under different pressures, different speeds and different diameters is analyzed by finite element soft-ware. The results show that the axial stress of the steel wire has a nonlinear relationship with the speed of the steel wire, and with the increase of the speed of the steel wire, the axial stress of the steel wire first increases, reaches the peak, and then decreases and eventually tends to be stable; The axial stress of the steel wire is proportional to the hydraulic cylinder pressure and inversely proportional to the diameter of the wire.
针对预应力钢丝缠绕装置对超高压模具施加预紧力的问题,设计了一种新型的钢丝张力调节机构,通过改变钢丝张力来调节模具的预应力尺寸。对钢丝张力产生的力学模型进行了分析,利用有限元软件分析了钢丝在不同压力、不同速度、不同直径下的轴向应力变化。结果表明:钢丝的轴向应力与钢丝速度呈非线性关系,随着钢丝速度的增加,钢丝的轴向应力先增大,达到峰值,然后减小,最终趋于稳定;钢丝的轴向应力与液压缸压力成正比,与钢丝直径成反比。
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引用次数: 0
Image Detection of Metal Surface Defects Based on Improved YOLOX-S Network 基于改进YOLOX-S网络的金属表面缺陷图像检测
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.114044
Chao Wu, Xin Ye, Jinmao Jiang, Shanglong Xu
In order to realize the image detection and identification of surface defects in the manufacturing and processing of metal parts, improve the image detection accuracy of unqualified products in the process of metal parts processing assembly line, improve the automation level of equipment in the process of metal defect detection, and solve the problems of easy fatigue, low detection effi-ciency, low detection accuracy, strong subjectivity and inability to adapt to the detection of large quantities of high-quality parts in manual detection. A convolution neural network model based on improved YOLOX-S is proposed for metal surface defect image detection. The model changed the structure of the unit module and introduced the attention mechanism module based on the original YOLOX-S model, which optimized the model parameters and improved bounding box position regression loss function and confidence loss function, and then the image detection model of common defects on the metal surface was constructed and realized. The results showed that the loss of improved YOLOX-S model could converge faster, the model with bounding box position regression loss function and attention mechanism added, its mAP increased from 94.23% to 96.14%, and the accuracy improvement effect is the best, while only a small amount of reasoning time is increased. Compared with the YOLOX-S model and the model with different improved methods, it is shown that the improved model based on bounding box position regression loss function and attention mechanism has the best comprehensive recognition effect, which can meet the require-ments of metal surface defect image detection and reduce the outflow of defective products in the production process of metal parts.
为了实现金属零件制造加工过程中表面缺陷的图像检测与识别,提高金属零件加工装配线过程中不合格产品的图像检测精度,提高设备在金属缺陷检测过程中的自动化水平,解决易疲劳、检测效率低、检测精度低等问题,主观性强,无法适应人工检测中大批量高质量零件的检测。提出了一种基于改进的YOLOX-S卷积神经网络模型用于金属表面缺陷图像检测。该模型改变了单元模块的结构,在原有YOLOX-S模型的基础上引入了注意机制模块,对模型参数进行了优化,改进了边界盒位置回归损失函数和置信度损失函数,构建并实现了金属表面常见缺陷的图像检测模型。结果表明,改进后的YOLOX-S模型的损失收敛速度更快,增加了边界盒位置回归损失函数和注意机制的模型,其mAP从94.23%提高到96.14%,准确率提升效果最好,而只增加了少量的推理时间。通过与YOLOX-S模型和不同改进方法的模型进行比较,表明基于边界盒位置回归损失函数和注意机制的改进模型具有最好的综合识别效果,能够满足金属表面缺陷图像检测的要求,减少金属零件生产过程中不良品的流出。
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引用次数: 0
Design of a Self-Closing Push-Out Device for the Side Cover of a Prefabricated Box-Filled Cigarette Pack 预制纸盒卷烟侧盖自闭推出装置的设计
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.113036
刚 王
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引用次数: 0
Assessment of the Effect of Surface Compound Treatment of 4Cr5MoSiV1 Die Steel on the Die Casting Process and the Finished Product 4Cr5MoSiV1模具钢表面复合处理对压铸工艺及成品影响的评价
Pub Date : 2022-01-01 DOI: 10.12677/met.2022.111008
文涛 徐
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引用次数: 0
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Journal of Mechanical Engineering and Technology
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