Modeling, analysis and constrained control of wet cone clutch systems: A synchromesh case study

Alizadeh, Hossein Vahid; Helwa, Mohamed K.; Boulet, Benoît

doi:10.1016/j.mechatronics.2017.11.005

Cited by 9 publications

(6 citation statements)

References 53 publications

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“…Muchungi and Casey [3] is the first to suggest a cone simulator that incorporates rod input. Alizadeh et al [4] tackles the issue of managing the lubrication regime in sliding lubricated surfaces in order to reduce wear and extend the lifespan of the friction lining material. Vyrabov [5] introduce the cone clutches and friction drives with wedgetype bodies have a circumferential force limit.…”

Section: Literature Surveymentioning

confidence: 99%

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Nancy¹,

Stephen²

2022

MMEP

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A coupling is a mechanism that transmits operative power between two shafts that are revolving at different speeds. A coupling connects two shafts at their ends and can slip or fail depending on the torque limit. It is an essential component of any power transmission system and may survive for a very long time if properly designed and maintained. This study's current research, a newly developed optimization algorithms are used to minimize the volume of cone coupling. The current study presented here compares modern metaheuristic methods for optimizing the design of the cone coupling problem. The algorithms used are particle swarm optimization (PSO), crow search algorithm (CSA), enhanced honeybee mating optimization (EHBMO), Harmony search algorithm (HSA), Krill heard algorithm (KHA), Pattern search algorithm (PSA), Charged system search algorithm (CSSA), Salp swarm algorithm (SSA), Big bang big crunch optimization (B-BBBCO), Gradient based Algorithm (GBA). The performance of these algorithms is assessed both statistically and subjectively. The algorithms' performance is evaluated quantitatively and qualitatively using consistency, simplicity and quality. The experimental results on the cone clutch problem shows that PSO produces greater results than EHBMO, whereas CSA and BBCO produce approximately identical results.

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Section: Literature Surveymentioning

confidence: 99%

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Nancy¹,

Stephen²

2022

MMEP

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“…(4) Mating material characteristics and cone angle affect the contact pressure distribution not only by changing the contact load assignment but also by changing the stress singularity at the end of the contact interface. (5) The receding contact occurs on the conical contact interfaces (Int-1 and Int-6) on both outer sides. For receding contact, the contact length is not affected by the axial load; the greater Young's modulus of the conical dual disk to the conical friction disk, the greater the contact length; the greater the friction coefficient, the greater the contact length; the smaller the cone angle, the greater the contact length.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

Contact pressure distribution of Multi-cone friction pair considering capsizing moment and stress singularity at the interface end

Wang

Dou

2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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Contact characteristics of friction pair play a crucial role in the torque transmission capacity and temperature rise prediction of automotive clutches. In this study, a Multi-cone friction pair used in wet clutches has been proposed. Each pair of conical contact is considered as the contact between a finite stiffness punch and an elastic half-plane, and 2D finite element (FE) models are developed to calculate the contact load assignments. Considering the capsizing moment and stress singularity at the end of the contact interface, an analytic model is established to obtain the contact pressure distribution on each conical contact interface based on the results of contact load assignments. Finally, the numerical examples are given, and the influences of axial load, mating material characteristics, friction coefficient, and cone angle on contact pressure distribution have been discussed in detail, which supplies the guidance of parameters design for Multi-cone friction pair.

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“…At the beginning, a tiny displacement will occur due to the compaction of the synchronizer ring and the gear cone. 27 Afterwards, the shift force supplied by the ELA increases rapidly and is transmitted directly to the gear cone to generate the friction torque. Afterwards, the rotational speed difference between the target gear and the sleeve decreases to zero quickly.…”

Section: Presentation Of the Working Phasesmentioning

confidence: 99%

Gearshift performance improvement for an electromagnetic gearshift system based on optimized active disturbance rejection control method

Lin

Jiao

2019

Advances in Mechanical Engineering

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Electric automated manual transmission usually adopts direct current motors and intermediate gearings to accomplish gear change. The structure can be simplified further to achieve better dynamic response and mechanical efficiency. A new type of gearshift system which adopts two electromagnetic linear actuators is presented. The intermediate gearings including motion converters are canceled, and the electromagnetic linear actuators drive the shift fork directly to move the synchronizer to engage different gears. The novel gearshift system is described in detail, including the connection, working principle, and performance. Specific working phases of the synchronization are introduced and mathematical equations of each phase are provided. After the specific feature analysis of each phase, the performance effect factors are deduced and the corresponding control requirements are proposed. Considering the stability of the performance, the robust control method, namely, active disturbance rejection control, is adopted. The time optimal method is introduced to optimize the dynamic response of the active disturbance rejection control method to achieve a shorter gearshift time. Comparative simulations among the active disturbance rejection control, time optimal-active disturbance rejection control, and proportional-integral-derivative methods show the distinct improvements of the novel gearshift system combined with the time optimal-active disturbance rejection control method. Finally, gearshift experiments are implemented. The results demonstrated the availability of the novel gearshift system and the designed control strategy.

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Modeling, analysis and constrained control of wet cone clutch systems: A synchromesh case study

Cited by 9 publications

References 53 publications

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Modelling and Analysis of the Cone Coupling Problem Using Optimization

Contact pressure distribution of Multi-cone friction pair considering capsizing moment and stress singularity at the interface end

Gearshift performance improvement for an electromagnetic gearshift system based on optimized active disturbance rejection control method

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