Multiobjective Intelligent Cooperative Design for the Multilayer Interference Fit

Ning, Ke; Wang, Jianmei; Jiang, Hongwei; Xiang, Dan; Hou, Dingbang

doi:10.1155/2019/4789030

Cited by 5 publications

(8 citation statements)

References 21 publications

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“…Intelligent fitting is a genetic algorithm that evolves expressions based on the data to be fitted [21]. Genetic algorithm (GA) is a method used to search for the optimal solution by simulating Darwin's natural evolution process.…”

Section: Scheduling Strategymentioning

confidence: 99%

Intelligent fitting global real‐time task scheduling strategy for high‐performance multi‐core systems

Zhao

et al. 2021

CAAI Trans on Intel Tech

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With the development of high-performance computing, it is possible to solve large-scale computing problems. However, the irregularity and access characteristics of computing problems bring challenges to the realisation and performance optimisation. Improving the performance of a single core makes it challenging to maintain Moore's law, and multicore processors emerge. A chip brings together multiple universal processor cores of equal status and has the same structure supported by an isomorphic multi-core processor. In high-performance computing, the granularity of computing tasks leads to the complexity of scheduling strategies. Satisfying high system performance, load balancing and processor fault tolerance at a minimum cost is the key to task scheduling in the highperformance field, especially in specific multi-core hardware architecture. In this study, global real-time task scheduling is implemented in a high-performance multi-core system. The system adopts the hybrid scheduling among clusters and the intelligent fitting within clusters to implement the global real-time task scheduling strategy. In the cluster scheduling policy, tasks are allowed to preempt the core with low priority, and the priority of tasks that access memory is dynamically improved, higher than that of all the tasks without memory access. An intelligent fitting method is also proposed. When the data read by the task is in the cache and the cache access ability value of the task is within a reasonable threshold, the priority of the task is promoted to the highest priority, preempting the core without the access memory task. The results show that the intelligently fitting global scheduling strategy for multi-core systems has better performance in the nuclear utilisation rate and task schedulability. K E Y W O R D S genetic algorithms, intelligent systems | INTRODUCTIONWith the expansion of application requirements and the progress of software technology, the demand for computing tasks on computing power increases sharply [1]. The method of improving system performance by increasing processor frequency is limited by power consumption, cost and volume; so multi-core processors emerge as the times require [2]. Multicore processor refers to the use of multiple processor cores on a chip, and each core performs the same or similar tasks, the whole chip acts as a unified structure to provide external services, output performance, to meet the needs of improving performance and achieving load balance at a minimum cost [3]. The future development of high-performance computing will come from the development of multi-core processor technology [4]. The system tends to be composed of multi-core, and multi-core forms a cluster hierarchically [5]. Furthermore, many-core, with hundreds or thousands of cores, will provide the computing potential for petaflops of high performance/ supercomputing [6]. Only by making the best use of parallel multi-core architecture can the performance of multi-core be brought into full play, and the new algorithm oriented to mul...

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Section: Scheduling Strategymentioning

confidence: 99%

Intelligent fitting global real‐time task scheduling strategy for high‐performance multi‐core systems

Zhao

et al. 2021

CAAI Trans on Intel Tech

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“…Owing to the fact that the failure of transmission torque of shrink disk first occurs in the first-layer interference, 14 the FE analysis of the torque capacity between shaft and sleeve is emphasized. According to equation (17), the friction coefficient between shaft and sleeve under different assembly stroke is set up. The friction coefficient between sleeve and inner ring is set to a fixed value of 0.15.…”

Section: Fe Model Of Torque Capacitymentioning

confidence: 99%

“…Most of the above research is aimed at single-layer interference fit, but with the actual needs of engineering, many use double or multilayer interference fit structure to achieve torque transfer. 14,15 Wang et al 16,17 proposed the reliability robust design and multi-objective intelligent optimization design method of multilayer interference fit. Bai et al 18 established a theoretical model of multilayer interference fit by considering the effect of centrifugal force and rotating speed.…”

Section: Introductionmentioning

confidence: 99%

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Torque capacity of the multilayer interference fit based on a friction coefficient prediction model

Ning

Wang

Xiang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part J:

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This paper proposes the theoretical model of a multilayer interference fit and gives out the relational expression between radial interference and friction coefficient. Taking the typical wind turbine's shrink disk of a three-layer interference fit structure as an example, special experimental equipment is developed to test the torque capacity. Based on experimental results and the theoretical model, the mathematical expressions of radial interference and assembly stroke for friction coefficient are obtained by polynomial fitting, and the prediction model of friction coefficient is established. The three-dimensional finite element model of a shrink disk is constructed by applying the friction coefficient prediction model. With the mathematical expressions of radial interference and assembly stroke for the torque capacity, the rules of main dimension parameters and torque capacity are analyzed. The maximum relative error between experiment and simulation is 8.2%, which shows the feasibility of finite element simulation. The results of our study have certain guidance for the prediction of friction coefficient and the manufacture of the multilayer interference fit.

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“…For multilayer interference components, the multilayer thick-walled cylinder theory (MTCT) is generally used for structural optimization design. [12][13][14] The stress distribution is the key to achieving optimal design. For example, Bai et al 15 constructed a stress analysis model of multilayer interference components under the action of centrifugal force and temperature load and obtained the relationship between contact stress, temperature gradient, and rotational speed.…”

Section: Introductionmentioning

confidence: 99%

Press-fit analysis of multilayer interference fit

Wang

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Multilayer interference fits are widely used in the machinery industry, and their performance is closely related to assembly quality. Press-fit is the primary assembly method. The pre-deformation of the previous assembly step can significantly affect the stress distribution (stress concentration) and pressing force in subsequent assembly steps. Therefore, the wear degree of the contact interface and the assembly quality of the components are affected by the assembly sequence. The multilayer thick-walled cylinder theory (MTCT) cannot realize the accurate analysis of stress distribution and pressing force during assembly. Therefore, this paper optimizes the MTCT considering the resistant force generated by the non-contact regions and proposes an assembly matrix generation algorithm and an assembly sequence optimization algorithm. Compared with the simulation analysis, the optimized theoretical model can be used for the analysis of the stress distribution and pressing force of multilayer interference components. The analysis accuracy is significantly improved compared with MTCT. The optimal assembly sequence determined by the proposed algorithm is consistent with simulation results.

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Multiobjective Intelligent Cooperative Design for the Multilayer Interference Fit

Cited by 5 publications

References 21 publications

Intelligent fitting global real‐time task scheduling strategy for high‐performance multi‐core systems

Intelligent fitting global real‐time task scheduling strategy for high‐performance multi‐core systems

Torque capacity of the multilayer interference fit based on a friction coefficient prediction model

Press-fit analysis of multilayer interference fit

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