Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod

Yıldız, Betül Sultan; Yıldız, Ali Rıza

doi:10.3139/120.111153

Cited by 140 publications

(30 citation statements)

References 31 publications

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“…EN8 is typically abounding organic but can be supplied to edict in the stabilized or finally heat salted (appeased and tempered to "Q" or "R" properties for off-putting ruling subdivisions up to 63mm), which is ample for a widespread range of applications. EN8 is suitable for the assembly of quantities such as general-tenacity axles and shafts, gears, bolts and studs [19]. It can be auxiliary hardboiled typically to 50-55 HRC by initiation processes, producing modules with enriched wear resistance.…”

Section: En8 Carbon Steel Materials Is Selected For This Designmentioning

confidence: 99%

Analysis and Optimization of Connecting Tie Rod Assembly in Agriculture Application

Natrayan¹,

Aravindaraj²,

Santhosh³

et al. 2019

Acta mech. Malays.

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The tie rod ensures the safety of vehicle on both impact and vibration perspective also plays one of the major roles in connecting primary parts of automobile and steering mechanism. Its end is an indication system of vehicle alignment. The tie rod end maintains the proper adjustment access of the wheel as well as indirectly limits the inner and outer edge wear of tires. Hence the appropriate functioning of tie rod assembly system is essential for the automobile system (steering and suspension). Today's competitive world needs advanced technology with effective cost. This results in the mutation of conventional technology or method according to present requirements. Most of the automobile and commercial product manufacturing industries are in the obsession to make and launch the economical product with the limited time span. The engineers from various domains are deliberately designing unique products, which possess simple manufacturing process, lower cost of manufacturing and very minimum time consumption. The proposed design and analysis focus on general tie rod assembly functioning of the tractor which fails on the overload applications. Firstly, old tie rod design and materials used for effective agriculture applications were studied and the mutated design with various stresses and deformation characteristics under critical loading conditions are investigated using ANSYS software.

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Section: En8 Carbon Steel Materials Is Selected For This Designmentioning

confidence: 99%

Analysis and Optimization of Connecting Tie Rod Assembly in Agriculture Application

Natrayan¹,

Aravindaraj²,

Santhosh³

et al. 2019

Acta mech. Malays.

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“…On the other hand, a Grey Wolf Optimizer (GWO) [10], which is in the class of nature inspired based optimization, can be also considered as a potential tool for improving energy production of wind plant. This is because the GWO has been successfully solved various types of real world problems, such as optimal reactive power coordination [11], vehicle engine connecting rod [12], unmanned aerial vehicles [13,14], facial image super-resolution [15,16], surface waves estimation [17], PID controller tuning [18,19]. The essential feature of the GWO algorithm is that it inspires the hierarchy, leadership and hunting techniques of grey wolves.…”

Section: Introductionmentioning

confidence: 99%

A modified grey wolf optimizer for improving wind plant energy production

Tumari

Suid

Ahmad

2020

IJEECS

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<span>The main problem of existing wind plant nowadays is that the optimum controller of single turbine degrades the total energy production of wind farm when it is located in a large wind plant. This is owing to its greedy control policy that can not cope with turbulence effect between turbines. This paper proposes a Modified Grey Wolf Optimizer (M-GWO) to improvise the controller parameter of an array of turbines such that the total energy production of wind plant is increased. The modification employed to the original GWO is in terms of the updated mechanism. This modification is expected to improve the variation of exploration and exploitation rates while avoiding the premature convergence condition. The effectiveness of the M-GWO is applied to maximize energy production of a row of ten turbines. The model of the wind plant is derived based on the real Horns Rev wind plant in Denmark. The statistical performance analysis shows that the M-GWO provides the highest total energy production as compared to the standard GWO, Particle Swarm Optimization (PSO) and Safe Experimentation Dynamics (SED) methods.</span>

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“…Several mechanical and civil engineering problems are the subject of structural optimization, and the optimization problems include vehicle engine connecting rod, lightweight design of an automobile hinge component, optimal machining parameters in manufacturing processes, mechanical and structural design problems, crashworthiness optimization of vehicle thin‐walled tubes, automotive floor frame, shape optimization, structural design optimization, topology synthesis multicomponent structural assemblies, turning operations, thin‐wall structures, structural design of vehicle components, vehicle components, vehicle crashworthiness, optimal design of structures for earthquake loading, shape optimization of arch dams, layout optimization of truss structures, optimal placement of steel plate shear walls, seismic layout optimization of steel braced frames, and structural control systems such as dampers …”

Section: Introductionmentioning

confidence: 99%

Optimum design of post‐tensioned axially symmetric cylindrical walls using novel hybrid metaheuristic methods

Bekdaş

2018

Structural Design Tall Build

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An efficient methodology for various structural design problems is needed to optimize the total cost for structures. Although some methods seem to be efficient for applications, due to using special algorithm parameters, computational cost, and some other reasons, there is still much to be done in order to develop an effective method for general design applications. This paper describes the influence of the selected procedure on the design of cost-optimized, post-tensioned axially symmetric cylindrical reinforced concrete walls. In this study, the optimum design of axially symmetric cylindrical walls using several metaheuristic algorithms is investigated. The new generation algorithms used in the study are flower pollination algorithm, teaching-learning-based optimization, and Jaya algorithm (JA). These algorithms are also compared with one of the previously developed algorithm called harmony search. The numerical examples were done for walls with 4-to 10-m height and for 1, 5, 10, 15, 20, and 25 post-tensioned load cases, respectively. Several independent runs are conducted, and in some of these runs, JA may trap to a local solution. To overcome this situation, hybrid algorithms such as JA using Lévy flights, JA using Lévy flights with probabilistic student phase (JALS), JA using Lévy Flights with consequent student phase (JALS2), and JA with probabilistic student phase are developed. It is seen that in many respects, the JALS2 and JALS are the most effective within the proposed hybrid approaches. KEYWORDS cost optimization cylindrical walls, flower pollination algorithm, hybrid algorithm analyses of cylindrical walls, Jaya algorithm, teaching-learning-based optimization 1 | INTRODUCTION Engineering designs are based on two main objectives. These two objectives, defined as safety and cost, are two opposing concepts, when one is increasing, the other one is decreasing. If all parameters belonging to these two purposes are formulated, it may be possible to obtain a solution that simultaneously provides these two goals with mathematical operations. This may not be always possible or easy task in some cases such as design of structural systems, in which many parameters affect each other. For four decades, metaheuristic algorithms have been widely used to perform this task. The most important reason why algorithms are used so widely is that not only the ability of solving problems that are difficult or impossible to express mathematically but also easily applying of these algorithms to the problems without using complex mathematical functions.From the first day to the present, a considerable number of metaheuristic algorithm has been proposed. Looking at the number of algorithms, it brings out questions such as what the reason is, why so many algorithms are proposed, are the algorithms insufficient to achieve the optimization task, if so, why more algorithms are suggested, and if algorithms are successful what is the measure of success. These questions can be further diversified. The answer to these questions can be ...

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Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod

Cited by 140 publications

References 31 publications

Analysis and Optimization of Connecting Tie Rod Assembly in Agriculture Application

Analysis and Optimization of Connecting Tie Rod Assembly in Agriculture Application

A modified grey wolf optimizer for improving wind plant energy production

Optimum design of post‐tensioned axially symmetric cylindrical walls using novel hybrid metaheuristic methods

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