Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Arabian Journal for Science and Engineering
Published in: Arabian Journal for Science and Engineering 4/2021

02-01-2021 | Research Article-Computer Engineering and Computer Science

Optimal Design of Transmission Shafts Using a Vortex Search Algorithm

Authors: M. A. Rodriguez-Cabal, J. D. Betancur-Gómez, L. F. Grisales-Noreña, Oscar Danilo Montoya, Diego Hincapie

Published in: Arabian Journal for Science and Engineering | Issue 4/2021

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper analyzes the problem of optimally sizing a transmission shaft via the vortex search algorithm (VSA) optimizer. The objective function was to minimize the shaft weight through an adequate selection of the diameters of each section of the device, and the constraints were the physical conditions that should be met to design safe, fatigue-proof shafts. The solution and the mathematical model were validated using Autodesk Inventor. In addition, the performance of the VSA was compared to that of the continuous genetic algorithm . The numerical results show that the programmed model has the physical and methodological characteristics needed to produce a better output than conventional design techniques. Therefore, this model can be a powerful tool to solve nonlinear non-convex optimization problems such as the case investigated here.
previous article Low-Rank Approximation of Circulant Matrix to a Noisy Matrix
next article Neural Synchronization-Guided Concatenation of Header and Secret Shares for Secure Transmission of Patients’ Electronic Medical Record: Enhancing Telehealth Security for COVID-19

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Bruno, L.: Design and analysis of composite drive shaft using ANSYS and genetic algorithm, vol 53 (2019)
2.
Kim, H.S.; Lee, D.G.: Optimal design of the press fit joint for a hybrid aluminum/composite drive shaft. Compos. Struct. 70, 33 (2005)CrossRef
3.
Rodriguez-Cabal, M.A.; Marín, J.A.; Grisales-Noreña, L.F., Montoya, O.D.; Andres, S., Jorge; Rio, D.: Optimization of a drive shaft using PSO algorithm. WSEAS Trans. Appl. Theor. Mech. 13, 130–139 (2018)
4.
Reddy, P.S.K.; Nagaraju, Ch.: Weight optimization and finite element analysis of composite automotive drive shaft for maximum stiffness. Mater. Today Proc. 4, 2390–2396 (2017)
5.
Melo, D.; Vinícius, V.; Carosio, G.L.C.: Investigating multi-view differential evolution for solving constrained engineering design problems. Expert Syst. Appl. 40(9), 3370–3377 (2013)CrossRef
6.
Kashan, A.H.: An efficient algorithm for constrained global optimization and application to mechanical engineering design: League championship algorithm (LCA). CAD Comput. Aided Des. 43(12), 1769–1792 (2011)CrossRef
7.
Alguliyev, R.M.; Aliguliyev, R.M.; Abdullayeva, F.J.: PSO+K-means algorithm for anomaly detection in big data. Stat. Optim. Inf. Comput. 7(2), 348–359 (2019)MathSciNetCrossRef
8.
Mendi, F.; Bakal, T.; Boran, K.; Boran, F.E.: Optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm. Expert Syst. Appl. 37(12), 8058–8064 (2010)CrossRef
9.
Choi, B.G.; Yang, B.S.: Optimum shape design of rotor shafts using genetic algorithm. J. Vib. Control 6(2), 207–222 (2000)CrossRef
10.
Özk, A.; Babalk, A.: A novel metaheuristic for multi-objective optimization problems: the multi-objective vortex search algorithm. Inf. Sci. 402, 124–148 (2017)CrossRef
11.
Doan, B.; Ölmez, T.: A new metaheuristic for numerical function optimization: vortex Search algorithm. Inf. Sci. 293, 125–145 (2015)CrossRef
12.
Montoya, O.D.; Gil-Gonzalez, W.; Grisales-Norena, L.F.: Vortex search algorithm for optimal power flow analysis in DC resistive networks with CPLs. IEEE Trans. Circuits Syst. II Express Briefs 7747(c), 1–1 (2019)
13.
Nadeem, S.K.S.; Giridhara, G., Rangavittal, H.K., : A review on the design and analysis of composite drive shaft. Mater Today Proc. 5, 2738–2741 (2018)
14.
Rodriguez-Cabal, M.A.; Grisales-Nora, L.F.; Marín, J.A.; Montoya, O.D.: Optimal design of transmission shafts: a continuous genetic algorithm approach. Stat. Optim. Inf. Comput. 7(4), 802–815 (2019)CrossRef
15.
Mott, R.L.: Machine elements in mechanical design, p. 945 (1985).
16.
Alejandra, M.G.; Alberto, D.: Optimización de la geometría de un eje aplicando algoritmos geneticos Optimising a shaft s geometry by applying genetic algorithms. Ingeniería e Investigación 25(2), 15–23 (2005)
17.
Norton, R.L.: Diseño de máquinas, vol. 1. Prentice Hall, London (1999)
18.
19.
Beer, F.P.; Johnstons, F.P.; Mazurek, E.; Eisenberg, R., David F., Beer, Elliot R.: Mecanica Vectorial Para Ingenieros. Mc Graw Hill 1, 654 (2010)
20.
Comino, P.; Carigliano, S.: Free Beam Calculator (2013)
21.
Doanahin, K.; Kekezolu, B.; Yumurtac, R.; Erdin, O.; Catalão, J.P.S.: Maximum permissible integration capacity of renewable dg units based on system loads. Energies 11, 1 (2018)
22.
Montoya, O.D.; Grisales-nore, L.F.: Optimal power dispatch of DGs in DC power grids : a hybrid Gauss-Seidel-Genetic-Algorithm methodology for solving the OPF problem. WSEAS Trans. Power Syst. 13, 335–346 (2018)
23.
Mastorakis, N.E.: Solving non-linear equations via genetic algorithms. Proc. Sixth WSEAS Int. Conf. Evol. Comput. 2005, 24–28 (2005)
24.
Giri, C.; Tipparthi, D.K.R.; Chattopadhyay, S.: A genetic algorithm based approach for system-on-chip test scheduling using dual speed TAM with power constraint. WSEAS Trans. Circuits Syst. 7(5), 416–427 (2008)
Metadata
Title
Optimal Design of Transmission Shafts Using a Vortex Search Algorithm
Authors
M. A. Rodriguez-Cabal
J. D. Betancur-Gómez
L. F. Grisales-Noreña
Oscar Danilo Montoya
Diego Hincapie
Publication date
02-01-2021
Publisher
Springer Berlin Heidelberg
Published in
Arabian Journal for Science and Engineering / Issue 4/2021
Print ISSN: 2193-567X
Electronic ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-05121-1

Other articles of this Issue 4/2021

Arabian Journal for Science and Engineering 4/2021 Go to the issue

Research Article-Computer Engineering and Computer Science

A New Fusion of ASO with SA Algorithm and Its Applications to MLP Training and DC Motor Speed Control

Research Article-Computer Engineering and Computer Science

An Ensemble Multi-label Themes-Based Classification for Holy Qur’an Verses Using Word2Vec Embedding

Research Article-Computer Engineering and Computer Science

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

Research Article-Computer Engineering and Computer Science

Discrete Island-Based Cuckoo Search with Highly Disruptive Polynomial Mutation and Opposition-Based Learning Strategy for Scheduling of Workflow Applications in Cloud Environments

Research Article-Computer Engineering and Computer Science

A Digital Geometry-Based Fingerprint Matching Technique

Research Article-Computer Engineering and Computer Science

A Systematic Analysis for Energy Performance Predictions in Residential Buildings Using Ensemble Learning

Premium Partners

    Image Credits