Design and multi-physics optimization of rotary MRF brakes

Topçu, Okan; Taşcıoğlu, Yiğit; Konukseven, Erhan İlhan

doi:10.1016/j.rinp.2018.01.007

Cited by 24 publications

(25 citation statements)

References 49 publications

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“…From formulas (24) and (25), H 1 is the length of the upper arm and H 2 is the length of the lower arm. According to formulas (24) and 25 Degree of feeling crowded in cockpit controlled by customers. Researchers can obtain the relationship between the design variables and users' prediction based on the survey data.…”

Section: Human-machine Interface Layout Optimized By the Adapted Pso mentioning

confidence: 99%

Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

Liu

et al. 2019

Advances in Mechanical Engineering

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The mechanical reliability problem of passenger car cockpit facilities layout is increasingly complex and has potential and uncertain risks for human safety while the number of private cars is increasing. A new system of layout design optimization is proposed to solve this problem. First, the optimization sequences of facilities are determined using a hybrid method of multiple-attribute decision-making and entropy. Second, the degree of feeling crowded in the cockpit layout can be adjusted based on customers' preference. Third, an adapted particle swarm optimization algorithm is proposed to solve the problem of three-dimensional layout optimization in car cockpit human-machine interface according to the ergonomic principles, and the adapted algorithm called smoothing iteration particle swarm optimization is contrasted with those of other common algorithms to demonstrate its advantages. Finally, the optimized layout is analyzed by virtual simulations and compared with the original layout to show the feasibility and effectiveness of the proposed design system. Analysis results indicate that the optimized layout by the new particle swarm optimization can make the operation easier and safer than the original one to enhance ergonomic reliability.

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Section: Human-machine Interface Layout Optimized By the Adapted Pso mentioning

confidence: 99%

Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

Liu

et al. 2019

Advances in Mechanical Engineering

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“…Yao, Miao et al designed an electromagnetic wedge brake, and defined the maximum braking torque as an objective, and set the motor power and the braking feeling as the constraints, and optimized the wedge angle and the reduction ratio of the brake [12]. Considering the electromagnetic, the non-Newtonian flow characteristics and the heat transfer characteristics of the magnetorheological fluid, Topcu et al proposed an improved multi-physical optimization of the rotary magnetorheological fluid brake [13]. In the [14], a neural network model of a composite braking system was established to improve the energy economy and the braking stability of an electric vehicle by optimizing the range of the regenerative and hydraulic brakes.…”

Section: Introductionmentioning

confidence: 99%

Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters

Qin

2021

PLoS ONE

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Excellent braking performance is the premise of safe driving, and improve the braking performance by upgrading structures and optimizing parameters of braking systems has become the pursuit of engineers. With the development of autonomous driving and intelligent connected vehicle, new structural schemes such as electro–mechanical brakes (EMBs) have become the future of vehicle braking systems. Meanwhile, many scholars have dedicated to the research on the parameters optimization of braking systems. While, most of the studies focus on reducing the brake size and weight, improving the brake responses by optimizing the parameters, almost not involving the braking performance, and the optimization variables are relatively single. On these foundations, a multi–objective optimal design of EMB parameters is proposed to enhance the vehicle’s braking performance. Its objectives and constraints were defined based on relevant standards and regulations. Subsequently, the decision variables were set, and optimal math model was established. Furthermore, the co–simulation platform was constructed, and the optimal design and simulation analyses factoring in the crucial structural and control parameters were performed. The results confirmed that the maximum braking pressure response time of the EMB is decreased by approximately 0.3 s, the stopping distance (SD) of 90 km/h–0 is shortened by about 3.44 m. Moreover, the mean fully developed deceleration (MFDD) is increased by 0.002 g, and the lateral displacement of the body (LD) is reduced by about 0.037 m. Hence, the vehicle braking performance is improved.

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“…Mousavi and Sayyaadi [31] optimized a hybrid MR brake for prosthesis knee joint by using particle swarm optimization, taking torque, energy consumption, and torque density as objective functions. Topcu et al [32] introduced a modified particle swarm optimization algorithm to solve the multi-physics engineering optimization problem for the rotary MR brake. The optimized MR brake has a smaller volume and greater braking torque.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Rotary Magnetorheological Brake With Multiple Fluid Flow Channels

et al. 2020

IEEE Access

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In order to solve the problems of low magnetic field utilization rate and low volume-torque ratio of the traditional magnetorheological (MR) brake under a volume constraint, a rotary MR brake with multiple fluid flow channels was proposed. The magnetic flux was guided into the external axial fluid flow channel by inserting a non-magnetic ring in the middle of the magnetic conduction sleeves which could improve the magnetic circuit structure greatly, the working area where the MR brake producing rheological effect was increased, and the effective damping gaps were also increased from two sections to four sections. The working principle of rotary MR brake was expounded and torque mathematical model was also deduced. The electromagnetic field was modeled and the distribution of magnetic flux density in multiple fluid flow channels was analyzed using finite element method. The prototypes of initial and optimal design were fabricated by using the obtained optimal geometric parameters. An experimental test system was setup to investigate the dynamic performance of the proposed rotary MR brake. The experimental results show that the maximum braking torque and torque ratio of the optimal MR brake are increased by 13.5% and 2.3% compared with the initial MR brake at the applied current of 1.8 A, respectively. At the same time, the variation trend of experimental and simulation results is basically consistent, and the rotational speed has almost no effect on the torque performance, which is conducive to the application of MR brakes under different working conditions. INDEX TERMS rotary MR brake; multiple fluid flow channels; optimal design; braking torque

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Design and multi-physics optimization of rotary MRF brakes

Cited by 24 publications

References 49 publications

Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

Adapted particle swarm optimization algorithm–based layout design optimization of passenger car cockpit for enhancing ergonomic reliability

Braking performance oriented multi–objective optimal design of electro–mechanical brake parameters

Performance Analysis of Rotary Magnetorheological Brake With Multiple Fluid Flow Channels

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