Multi-Objective Optimization of Spring Diaphragm Clutch on Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)

Zhou, Junchao; Wang, Chun; Zhu, Jing

doi:10.20944/preprints201611.0139.v1

Cited by 6 publications

(3 citation statements)

References 9 publications

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“…Recently, the NSGA-II algorithm has been used extensively in the area of NN optimization [ 33 ], Design optimization [ 34 , 35 ], Network optimization [ 36 ] and so forth. Considering the strong precedence and use cases, we use NSGA-II as a tool for optimizing our multi-objective problem in this research work.…”

Section: Resultsmentioning

confidence: 99%

An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots

Pathmakumar

Rayguru

Ghanta

et al. 2021

Sensors

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The hydro blasting of metallic surfaces is an essential maintenance task in various industrial sites. Its requirement of a considerable labour force and time, calls for automating the hydro blasting jobs through mobile robots. A hydro blasting robot should be able to cover the required area for a successful implementation. If a conventional robot footprint is chosen, the blasting may become inefficient, even though the concerned area is completely covered. In this work, the blasting arm’s sweeping angle is chosen as the robot’s footprint for hydro blasting task, and a multi-objective optimization-based framework is proposed to compute the optimal sweeping arc. The genetic algorithm (GA) methodology is exploited to compute the optimal footprint, which minimizes the blasting time and energy simultaneously. Multiple numerical simulations are performed to show the effectiveness of the proposed approach. Moreover, the strategy is successfully implemented on our hydro blasting robot named Hornbill, and the efficacy of the proposed approach is validated through experimental trials.

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Section: Resultsmentioning

confidence: 99%

An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots

Pathmakumar

Rayguru

Ghanta

et al. 2021

Sensors

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“…Relevant experiments verified the effectiveness and accuracy of the established dynamic mathematical model. Although these studies considered the influences of the characteristics of several components, the accuracy is still compromised by neglecting the differences between the clutch cover assembly load characteristics and the mechanical properties of the diaphragm spring [31]. Moreover, the influence of the strap on the load characteristics of the cover assembly should also be considered according to the different structures of the clutch [32], especially the no hook clip clutch structure (e.g., VALEO company CP structure).…”

Section: Introductionmentioning

confidence: 99%

Detailed Modeling and Experimental Assessments of Automotive Dry Clutch Engagement

Yan

Liang

et al. 2019

IEEE Access

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The characteristics of the clutch engagement process would have significant influences on the torque transmissibility and operation comfort. However, some crucial components are simplified in many previous literature, which would cause imprecision. Therefore, it is important to build a detailed mathematical model of these components and inspect the whole process of clutch engagement. In order to improve the torque transmissibility and achieve better pedal releasing comfort, solutions based on the modeling of the clutch cover assembly and the friction disc assembly, the analysis of the clamping force and the releasing characteristics of the release bearing are proposed in this paper. Furthermore, models of the crucial components such as the diaphragm spring, which connects the straps and cushion plate, are built and the corresponding mechanical properties are analyzed. Based on the manufacturing tolerance, the life cycle, and the wear properties, diaphragm spring correction formula is proposed by referring to Almen-Laszlo method. On the system level, the whole engagement process is divided into four stages because of the differences between the engaging and disengaging processes, which would affect the pedal releasing comfort in the manual transmission system and the shifting quality in the automated transmission system. To demonstrate the effectiveness of the proposed method, detailed mathematic models are built and the corresponding experiments are conducted. INDEX TERMS Mathematical modeling, clutch engagement, cushion characteristics, torque transmissibility, operation comfort.

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“…Jiang, Numerical Simulation Study of Turbulent Flow in L. Gao Vacuum Tempering Furnace Using K-Epsilon Model the combustion timing control scheme of burner for heat furnace, which provided a reference for solving furnace temperature uniformity problem [7,8]. Wang Ji-Ming et al also wielded the standard k-ε turbulence model to study melting furnace to solve furnace temperature uniformity problem [9][10][11]. Fořt et al studied the flow field in a turbine cascade using k-ω turbulence model [12].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation Study of Turbulent Flow in Vacuum Tempering Furnace Using K-Epsilon Model

Chen¹,

Jiang²,

Gao³

2019

TFAMENA

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Vacuum tempering furnace prevalence of uneven temperature problems. In this paper, numerical analyses for turbulent flow inside vacuum tempering furnace using k-ε turbulence model. The moving reference frame is helpful to improve the precision of the model. Not only the loading area and its adjacent components have an influence on temperature uniformity, but the shape of the auxiliary parts, the shape of the driving parts and the way of loading have an influence. The influence factors of turbulence are studied from multiple angles. Based on the factors, the combinatorial optimization scheme is proposed and temperature uniformity test is carried out. The results show that the shape of the fan blade, the inlet diameter of the gas guide tube, the shape of the centre channel and the shape of the wind scooper influences furnace temperature uniformity. The adjustment of loading area and the use of multiple central channels in equal area will not affect furnace temperature uniformity.

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Multi-Objective Optimization of Spring Diaphragm Clutch on Automobile Based on the Non-Dominated Sorting Genetic Algorithm (NSGA-II)

Cited by 6 publications

References 9 publications

An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots

An Optimal Footprint Based Coverage Planning for Hydro Blasting Robots

Detailed Modeling and Experimental Assessments of Automotive Dry Clutch Engagement

Numerical Simulation Study of Turbulent Flow in Vacuum Tempering Furnace Using K-Epsilon Model

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