In order to study the influence of sound absorption factors on automobile headliner, impedance tube is used to test the sound absorption characteristics of automotive headliner materials based on the transfer function method; the flow resistance of the headliner is tested based on the direct current method, to analyze the effects of production process, fabric, PU, glue and flow resistance on the sound absorption of the headliner. The results show that the production process, fabric layer and PU are the main factors affecting the sound absorption factors on the headliner. The sound absorption coefficient of the two-step production process is increased by 0.1~0.45 in the frequency range above 1 000 Hz; the sound absorption coefficient of knitted fabric is higher than non-woven fabric by 0.05~0.29 in the whole frequency range. Above the 1 000 Hz frequency, when the thickness or density of PU is increased, the sound absorption coefficient is increased by 0.02~0.43, and the peak of sound absorption is close to 1. The average sound absorption coefficient increases with the flow resistance. Reasonable selection of headliner with high flow resistance can effectively increase the resistance of sound wave propagating in the material, which is conducive to rapid attenuation of sound energy and improvement of sound absorption effect.

With the aluminum alloy door of passenger car as the research object, the laser wire filling welding process and welding quality of aluminum alloy sheet are studied through comprehensive application of simulation and process test. The optimal process parameters suitable for laser wire filling welding of aluminum alloy door are obtained by judging the forming quality and mechanical properties of the weld after welding. Using this parameter, the laser wire filling welding of the inner plate assembly of the aluminum door is prototyped and a better welding quality is achieved. The results show that for the laser wire filling lap welding of 5182 aluminum plate and 6016 aluminum plate with thickness of 1.5 mm, better weld forming quality and mechanical properties can be obtained with the following process parameters: 2 600 W laser power, 2.5 m/min welding speed and 7 m/min wire feeding speed, and can satisfy the welding quality requirements of the actual aluminum door inner plate assembly.

This paper introduces system composition, basic measurement principle and system control principle of the in-line measurement system used in BBAC body shop flexible production line, and defines the commissioning requirements for system accuracy guarantee to realize the calibration and compensation of dimensional measurement values. The use of the visual management system IQVIS further assists the body shop to quickly and efficiently analyze the dimensional accuracy of the body in white and predict the changing trend. By setting the out-of-tolerance alarm function, the intelligent management and quality control of the three-level tolerance of the body dimension can be realized, which can significantly reduce the impact of defective body on the subsequent processes.

This study first compared the material properties and costs to determine the use of 45% by mass glass fiber (GF) reinforced nylon (PA). Based on the envelope, electrical performance, and insulation requirements given by the battery system,the structural design scheme of the integrated insulation structure battery housing has been determined. CAE analysis was conducted on this housing with integrated insulation structure. Equal proportion samples of the composite housing were manufactured using LFT-D technology and the insulation structure was integrated. Corresponding CFD analysis and insulation performance testing were carried out; Simulation analysis and sample testing have proven that the mechanical and insulation properties of this housing meet the design specifications, and compared to aluminum alloy housing, the housing also has the advantages of lightweight and low cost.

Microstructured materials are increasingly favored due to their excellent performance. This paper introduces the concepts, principles and configurations of microstructured materials, it lists common types of microstructured materials, including porous metals, porous ceramics, foamed plastics, sandwich materials, etc., analyzes their applications in automotive safety, NVH and thermal management, describes and prospects the development concept of material-structure-function integrated product.

To get reliable forming process parameters for aluminum products, the inner panel of an automotive aluminum door is taken as the research object. Considering the structural characteristics of this product, the process modeling and analysis are initially performed using the AutoForm software to identify the risk areas of its forming defects. Subsequently, the blank size, binder force, and the resistance coefficient of the drawbead are adopted as the design variables for process optimization. The process optimization analysis is implemented through the Sigma module. After a cumulative total of 114 iterative operations, the optimal parameter combination that complies with the forming quality evaluation criteria is obtained. Production verification shows that the formed quality of the stamped parts is excellent according to the optimal parameter combination.

In order to explore the effect of annealing process on the properties and microstructure of 3003 aluminum alloy for lithium battery of new energy vehicle, the evolution characteristics of room temperature mechanical properties, hardness, cupping value, earing rate and microstructure of 3003 aluminum alloy for lithium battery of new energy vehicle after annealing at different temperatures (150 ~ 500 ℃) and holding for 3 h are studied by means of electronic universal testing machine, hardness tester, cupping test machine, forming test machine and optical microscope. The preferred experimental annealing process of 3003 aluminum alloy is determined. The results show that the best combination of mechanical properties, formability and microstructure of 3003 aluminum alloy is obtained when the annealing temperature is 400 ℃ and the holding time is 3 h. This annealing process is applied to the box-type annealing furnace on the production site for verification, which is in good agreement with the test results.

Based on the physical characteristics of the hollow camshaft, the straightening process and parameters are redesigned and optimized, the straightening downward pressure is re-calculated and optimized, and the straightening fulcrum is expanded to increase the downward pressure to solve the difficulty of rebound. The theoretical basis of hollow camshaft straightening is optimized by fitting the straightening curve, optimizing the weight of correction coefficient and controlling the number of straightening times through a large number of real straightening data. At the same time, the process control is made to the previous process, controlling the straightening quality and waste rate of the hollow camshaft, which achieves lean manufacturing and improve the quality control level of the hollow camshaft production process.

This article proposes a method for calibrating and verifying interlayer parameters related to delamination in Carbon Fiber Reinforced Plastic (CFRP) laminates, as well as establishing a failure model based on *MAT_58. In terms of interlayer parameter calibration, the critical shear strain potential difference under interlayer failure is mainly extracted from the out of plane shear strain and normal strain cloud map of the short beam shear experiment to calculate the interlayer shear strength of composite materials. Furthermore, drop hammer impact experiments are conducted on the materials at 10 J and 200 J energy levels, as well as simulations of laminated shells and refined mesh sizes, to verify the effectiveness and modeling practicality of interlayer parameters. The results showed that the P16M2 model had a threshold load error of 5.09% and a peak force error of 8.99%, proving the effectiveness of interlayer parameters. Furthermore, based on the performance of each model in simulation accuracy and computational cost, increasing the number of layers of laminated shells is more effective than refining mesh sizes.

This article mainly introduces the application innovation of Automatic Guided Vehicle (AGV) systems in the application scenarios of material transportation, storage, and sorting between production lines, in process planning layouts, intelligent system design, upward and downward circulation, consolidated sorting processes, and the technique of keeping materials moving continuously. Additionally, it covers multi-path planning with intelligent adjacent scheduling and digital network connectivity innovations. These advancements not only reduce the production area but also provide a more convenient and cost-effective response to the rapidly growing need for flexible, modular production lines in the automotive industry, driven by the increasing demand for personalized customized vehicles.