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Innovation and inheritability are the key requirements of tire pattern design. This article call attention to the similarity detection of tire patterns. A similarity detection method based on tire pattern features is proposed. Through in-depth analysis of the pattern structure, the tire pattern features are separated into shape and texture features. Shape features describe the arrangement rules between tire grooves and pattern blocks. On the other hand, texture features define each pattern block’s surface characteristics, groove depth, groove width, and other characteristics. The tire pattern raw data is firstly analyzed through digital image processing technology. Then, shape and texture features were recognized and separated using edge extraction and co-occurrence matrix methods, respectively. The tire pattern photos are then realized, measured, and detected for similarity following the rules of similarity theory. Experiments were designed to fit the framework of the given detection method. The test results prove that the proposed method can detect tire pattern similarity quickly and conveniently.

Tire burst is one of the hot issues in automobile market. Based on the tire burst problem of all-steel radial tire, the shear strain and strain energy density at the end of the belt layer are analyzed to extend the tire durability. A multi-objective optimization model was established by finite element analysis, and the function constraints conditions were set. The optimization scheme was determined using differential evolution (DE) method. The finite element simulation and the durability test of tire specimen show that tire performance has greatly improved after the optimization. The results show that the combination of the finite element analysis technique and the multi-objective optimization method can effectively reduce a lot of labor, material, and financial resources in the structural optimization of mechanical products.

To address the issues of low anti-clay performance and high adsorption of ordinary superplasticizer in concrete applications, a novel anti-clay polycarboxylate superplasticizer (Abbreviated as KN-G superplasticizer) was developed. Its structure and properties were characterized using techniques such as infrared spectroscopy (IR), nuclear magnetic resonance (NMR), and X-ray diffraction pattern (XRD). The results indicate that the optimal mass ratio for the synthesized KN-G superplasticizer was monomer: sulfonic acid base: initiator quality: chain transfer agent: hydroxypropyl acrylate=0.808:0.129:0.008:0.008: 0.008:0.007:0.048 under specific conditions, including an acid-to-ether molar ratio of 4.0:1, temperature of 35 °C, solid content of 56%, and drop rate of 4s/drop. The successful grafting of -SO3Hfunctional groups was confirmed by test results of IR and NMR. At a water-to-cement ratio of 0.45, the disage of montmorillonite and KN-G superplasticizer at 3% and 0.5% of the cement mass, respectively, resulted in the fluidity of mortar with low-quality sand reaching 120mm, demonstrating the effective anti-clay ability of the KN-G superplasticizer.

By establishing engine-clutch-vehicle body nonlinear dynamic, the nonlinear dynamic behavior of DDCT is studied with Clutch rigidity. The nonlinear dynamic behavior of the chaotic and bifurcation of the vibration of the clutch system is analyzed. The stability of the system is determined by the maximum Lyapunov index method; And combined with experimental study, the clutch noise and the vibration acceleration of the gearbox during the movement of the car are tested. It shows as follows, Reducing the Clutch stiffness can effectively reduce the noise and vibration acceleration. It is also provide a theoretical basis for solving the noise problem in the starting process.