Book ChapterDOI
Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
Abhishek G. Neve,Ganesh Kakandikar,Omkar Kulkarni,Vilas M. Nandedkar +3 more
- pp 941-952
TLDR
In this article, the design of snubber spring is optimized by using grasshopper optimization algorithm, which simulates the behaviour of the grasshoppers in nature and models that mathematically for solving optimization problems.Abstract:
Swarm intelligence is a branch which deals in research that models the population of interacting agents or swarms that are self-organizing in nature. Grasshopper optimization algorithm is a modern algorithm for optimization which is inspired from the swarm-based nature. This algorithm simulates the behaviour of the grasshopper in nature and models that mathematically for solving optimization problems. Grasshopper optimization algorithm is used for the optimization of mechanical components and systems. Snubber spring is a kind of helical spring which is a part of suspension system in railway bogie. In this work, the design of snubber spring is optimized by using grasshopper optimization algorithm. The suspension system of railway bogie consists of inner spring, outer spring, and snubber spring. Optimization is done for the weight minimization of snubber spring. Wire diameter, number of active turns and mean coil diameter are the design parameters for the optimization. These parameters are optimized by using grasshopper optimization algorithm according to bounds, loading, and boundary conditions. The optimized parameters are validated experimentally and also by using a software. The spring is modelled in CATIA V5 and analyzed in ANSYS 17.0. The comparison of results is done and is validated with results experimentally in which the spring is tested on universal testing machine for compression test.read more
Citations
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Journal ArticleDOI
Grasshopper Optimization Algorithm: Theory, Variants, and Applications
TL;DR: A comprehensive review of GOA based on more than 120 scientific articles published by leading publishers: IEEE, Springer, Elsevier, IET, Hindawi, and others is presented in this article.
Journal ArticleDOI
Process parameters optimization by bat inspired algorithm of CNC turning on EN8 steel for prediction of surface roughness
TL;DR: In this paper, the Bat algorithm was used to predict the optimal surface value (Ra) and process parameters for EN8 steel turning, which showed that the feed rate is the most important factor affecting the surface roughness.
Journal ArticleDOI
Survey of using grasshopper algorithm
TL;DR: The benefits of the GOA algorithm have been effective in answering global unrestricted and restricted optimization issues, easy development, high accuracy, and obtaining a good solution, however, the disadvantages are simple to fall into local optimum and slow convergence speed.
Journal ArticleDOI
Nature inspired multi objective optimization of selective laser melting of SS316L with the microstructural investigations
S.A. Jawade,Ganesh Kakandikar +1 more
Book ChapterDOI
Process parameter optimization in manufacturing of root canal device using gorilla troops optimization algorithm
TL;DR: In this article , an attempt is made to proposed mathematical model to understand the nature of sliding friction and optimized with theoretical bounds using Gorilla Troops Optimizer, values of sliding frictional force obtained through optimizer found to be significant.
References
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Journal ArticleDOI
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Journal ArticleDOI
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces
Rainer Storn,Kenneth Price +1 more
TL;DR: In this article, a new heuristic approach for minimizing possibly nonlinear and non-differentiable continuous space functions is presented, which requires few control variables, is robust, easy to use, and lends itself very well to parallel computation.
Proceedings ArticleDOI
A new optimizer using particle swarm theory
TL;DR: The optimization of nonlinear functions using particle swarm methodology is described and implementations of two paradigms are discussed and compared, including a recently developed locally oriented paradigm.
Journal ArticleDOI
Tabu Search—Part II
TL;DR: The elements of staged search and structured move sets are characterized, which bear on the issue of finiteness, and new dynamic strategies for managing tabu lists are introduced, allowing fuller exploitation of underlying evaluation functions.
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