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.

To address the limitations of the electric drive system in terms of performance, this paper proposes a performance detection method based on key parameters, which introduces machine learning algorithm based on Gradient Boosted Decision Tree (GBDT) to construct and verify the performance quality detection model, including quality sample data collection, feature engineering analysis, model construction, model fusion and model self-training mechanism, etc., to determine product performance inspection quality based on key production and processing parameters of electric drive system. Combined with production practice, the paper proposes the idea of application scenario construction and its deepening direction. The results show that electric drive system quality inspection can be realized based on key parameters.

The sealing of power batteries is of great importance to the safety of battery packs and the vehicle. This paper discusses the common sealing technology of battery pack in the automobile industry at present, and emphatically analyzes the material characteristics and process planning of two-component foaming sealant. The paper also analyzes process flow, ambient temperature, equipment key system, pack sealing check, equipment spot check and maintenance, etc., and summarizes a set of sealant quality control scheme. Effectiveness of this scheme is proved through practical production verification.

This article mainly introduces a fast verification of the effectiveness of the optimization scheme for durability cracking of body sheet metal using a simple bench test combined with Miner principle, and then verifies it through vehicle durability testing to form a close-loop optimization method. First, reproduce the problem of body sheet metal cracking in vehicle enhanced durability testing using CAE analysis method. Then, confirm the cause of body sheet metal durability cracking and make optimization scheme. Next, through CAE simulation analysis, design a simple bench test. Through this simple bench test, it is necessary to accurately reproduce the durability cracking problem of body sheet metal, then quickly verify the effectiveness of the optimization scheme. Finally, after verification through vehicle durability testing, the body sheet metal with added optimization scheme did not show any durability cracking problem, which proves the accuracy and effectiveness of this method.

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.

In order to improve the flexibility level of the integrated body casting production line, through the study of the flexibility and full automation of the material rack, gripper, fixture, logistics and assembly unit, the forward products is designed for the purpose of manufacturing needs, which takes into account the needs of the manufacturing process, and satisfies the requirement of reliable performance, strong practicability, and flexible and rapid switching of multiple platforms and models so as to meet the production requirements of high quality, high efficiency, low cost and multi-model.

By analyzing the current situation of rear suspension assembly of heavy engineering vehicle, a set of automatic tightening system for rear suspension assembly is designed and manufactured according to input of process design. The tightening system adopts high-precision flexible displacement sub assembly station, high-precision servo rotation interactive platform, digital information production technology, which can realize robot automatic tightening assembly through 3D visual identification camera and positioning technology. This system solves the knotty problem of rear suspension assembly, and it is stable, reliable and practical.

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.

In order to ensure the dimensional accuracy of the outer belt weather-strip, reduce the extrusion production defects and ensure the stability of the outer belt weather-strip installation on the door, the shape of the metal insert and the forming accuracy are particularly important. In this paper, the roll forming process of a kind of asymmetric metal insert section is studied, the cross-section structure is simulated and analyzed by CAE method, and the metal insert structure is optimized and the structure of the existing roll-forming tooling is optimized without affecting the performance, thus solving the defects of material crossing and grinding in the production of a kind of asymmetric section products. Based on this, multiple sets of roll-forming tooling are developed, which effectively improves the production quality of auto parts.

In order to reduce rubber cost of high-speed oil seals for automobiles, performance requirements for rubber materials used in high-speed oil seals are determined according to the application locations and operation conditions. The acrylic rubber formula is analyzed and designed from the aspects of raw rubber selection, reinforcement system, vulcanization system, aging system, wear resistance system, and processing system. Finally, the acrylic rubber formula for high-speed oil seals in automobiles is developed. The test shows that the developed acrylic rubber fully meets the performance requirements of rubber materials for high-speed oil seals, and can replace the expensive fluororubber material for large-scale application in automotive high-speed oil seals.