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
Soft Computing
Published in: Soft Computing 22/2020

09-05-2020 | Methodologies and Application

Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm

Authors: Yun-tao Zhao, Wei-gang Li, Ao Liu

Published in: Soft Computing | Issue 22/2020

Log in

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

search-config
loading …

Abstract

In order to obtain good geometry quality in the wire and arc additive manufacture, it is important to select the appropriate process parameters. Firstly, based on the 4-factor and 5-level experiments, the multi-objective mathematical model of process parameters and geometry quality is established by response surface methodology. Secondly, an adaptive grey wolf algorithm for solving multi-objective problems is proposed. The algorithm introduces external Archive, adaptive hunting mechanism, and fusion polynomial mutation mechanism to improve the search ability of the grey wolf algorithm. Experiments show that the Pareto set obtained by the adaptive multi-objective grey wolf algorithm is more diverse and convergent than the other five well-known algorithms. Meanwhile, in order to obtain the desired geometry quality, the TOPSIS algorithm is used to analyze the Pareto set obtained to get the optimal process parameters.
previous article Multiple attribute group decision making based on 2-dimension linguistic intuitionistic fuzzy aggregation operators
next article An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm

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 "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • 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
Deb K, Jain H (2014) An evolutionary many-objective optimization algorithm using reference-point-based nondominated sorting approach, part I: solving problems with box constraints. IEEE Trans Evol Comput 18(4):577–601
Geng H, Xiong J, Huang D, Lin X, Li J (2017) A prediction model of layer geometrical size in wire and arc additive manufacture using response surface methodology. Int J Adv Manuf Technol 93(1–4):175–186
Gomes JHF, Costa SC, Paiva AP, Balestrassi PP (2012) Mathematical modeling of weld bead geometry, quality, and productivity for stainless steel claddings deposited by FCAW. J Mater Eng Perform 21(9):1862–1872
Gunaraj V, Murugan N (1999) Application of response surface methodology for predicting weld bead quality in submerged arc welding of pipes. J Mater Process Technol 88(1–3):266–275
Jadhav AN, Gomathi N (2019) EKEGWO: enhanced kernel-based exponential grey wolf optimizer for bi-objective data clustering. Int J Uncertain Fuzziness Knowl Based Syst 27(4):669–688
Javad K, Majid S (2018) Anchor points in multiobjective optimization: definition, characterization and detection. Optim Methods Softw 34(6):1–23MathSciNetMATH
Javadi Y, Sadeghi S, Najafabadi MA (2014) Taguchi optimization and ultrasonic measurement of residual stresses in the friction stir welding. Mater Des 55:27–34
Jiang K, Ni H, Han R, Wang X (2019) An improved multi-objective grey wolf optimizer for dependent task scheduling in edge computing. Int J Innov Comput Inf Control 15(6):2289–2304
Kannan T, Murugan N (2006) Effect of flux cored arc welding process parameters on duplex stainless steel clad quality. J Mater Process Technol 176(1–3):230–239
Kannan T, Yoganandh J (2010) Effect of process parameters on clad bead geometry and its shape relationships of stainless steel claddings deposited by GMAW. Int J Adv Manuf Technol 47(9–12):1083–1095
Kazanas P, Deherkar P, Almeida P, Lockett H, Williams S (2012) Fabrication of geometrical features using wire and arc additive manufacture. Proc Inst Mech Eng B J Eng Manuf 226(B6):1042–1051
Lakshminarayanan AK, Balasubramanian V (2009) Comparison of RSM with ANN in predicting tensile strength of friction stir welded AA7039 aluminium alloy joints. Trans Nonferrous Met Soc China 19(1):9–18
Li L, Lu K, Zeng G, Wu L, Chen M (2016) A novel real-coded population-based extremal optimization algorithm with polynomial mutation: a non-parametric statistical study on continuous optimization problems. Neurocomputing 174:577–587
Li H, Zhang Q, Deng J (2017) Biased multiobjective optimization and decomposition algorithm. IEEE Trans Cybern 47(1):52–66
Li Y, Sun Y, Han Q, Zhang G, Horvath I (2018) Enhanced beads overlapping model for wire and arc additive manufacturing of multi-layer multi-bead metallic parts. J Mater Process Technol 252:838–848
Long W, Jiao J, Liang X, Tang M (2018) An exploration-enhanced grey wolf optimizer to solve high-dimensional numerical optimization. Eng Appl Artif Intell 68:63–80
Luo K (2019) Enhanced grey wolf optimizer with a model for dynamically estimating the location of the prey. Appl Soft Comput 77:225–235CrossRef
Martinez S Coello C (2011) A multi-objective particle swarm optimizer based on decomposition. In: Proceedings of the 13th annual conference on genetic and evolutionary computation, pp 69–76
Mirjalili S, Mirjalili SM, Lewis A (2014) Grey wolf optimizer. Adv Eng Softw 69:46–61CrossRef
Mirjalili S, Saremi S, Mirjalili SM, Coelho LDS (2016) Multi-objective grey wolf optimizer: a novel algorithm for multi-criterion optimization. Expert Syst Appl 47:106–119
Oliveira DM, Hélio F, Pires EJ (2016) Grey wolf optimization for PID controller design with prescribed robustness margins. Soft Comput 20(11):4243–4255
Panda B, Shankhwar K, Garg A, Savalani MM (2019) Evaluation of genetic programming-based models for simulating bead dimensions in wire and arc additive manufacturing. J Intell Manuf 30(2):809–820
Rios S, Colegrove PA, Martina F, Williams SW (2018) Analytical process model for wire plus arc additive manufacturing. Addit Manuf 21:651–657
Schott JR (1995) Fault tolerant design using single and multi-criteria genetic algorithm optimization. Technical report. Air force inst of tech Wright-Patterson afb OH
Senthilkumar B, Kannan T, Madesh R (2017) Optimization of flux-cored arc welding process parameters by using genetic algorithm. Int J Adv Manuf Technol 93(1–4):35–41
Shen C, Pan ZX, Cuiuri D, Ding DH, Li HJ (2017) Influences of deposition current and interpass temperature to the Fe3Al-based iron aluminide fabricated using wire-arc additive manufacturing process. Int J Adv Manuf Technol 88(5–8):2009–2018
Singh L, Khan RA, Aggarwal ML (2012) Empirical modeling of shot peening parameters for welded austenitic stainless steel using grey relational analysis. J Mech Sci Technol 26(6):1731–1739
Soufi MD, Ghobadian B, Najafi G, Sabzimaleki MR, Yusaf T (2015) TOPSIS multi-criteria decision modeling approach for biolubricant selection for two-stroke petrol engines. Energies 8(12):13960–13970
Teng Z, Lv J, Guo L (2019) An improved hybrid grey wolf optimization algorithm. Soft Comput 23:6617–6631
Tian Y, Cheng R, Zhang X, Jin Y (2017) PlatEMO: a matlab platform for evolutionary multi-objective optimization. IEEE Comput Intell Mag 12(4):73–87
Van Veldhuizen DA, Lamont GB (2000) Multi-objective evolutionary algorithms: analyzing the state-of-the-art. Evol Comput 8(2):125–147
While L, Hingston P, Barone L, Huband S (2006) A faster algorithm for calculating hypervolume. IEEE Trans Evol Comput 10(1):29–38
Xiong J, Li Y, Li R, Yin Z (2018) Influences of process parameters on surface roughness of multi-layer single-pass thin-walled parts in GMAW-based additive manufacturing. J Mater Process Technol 252:128–136
Yang B, Zhang X, Yu T, Shu H, Fang Z (2017) Grouped grey wolf optimizer for maximum power point tracking of doubly-fed induction generator based wind turbine. Energy Convers Manag 133:427–443
Yang Y, Yang B, Wang S, Jin T, Li S (2020) An enhanced multi-objective grey wolf optimizer for service composition in cloud manufacturing. Appl Soft Comput 87:1–11
Zhang Q, Li H (2007) MOEA/D: a multiobjective evolutionary algorithm based on decomposition. IEEE Trans Evol Comput 11(6):712–731
Zhou J, Zhu W, Zheng Y, Li C (2016) Precise equivalent model of small hydro generator cluster and its parameter identification using improved grey wolf optimiser. Gener Transm Distrib IET 10(9):2108–2117
Zhou Q, Rong Y, Shao X, Jiang P, Gao Z, Cao L (2018) Optimization of laser brazing onto galvanized steel based on ensemble of metamodels. J Intell Manuf 29(7):1417–1431
Zitzler E, Deb K, Thiele L (2000) Comparison of multiobjective evolutionary algorithms: empirical results. Evol Comput 8(2):173–195CrossRef
Metadata
Title
Optimization of geometry quality model for wire and arc additive manufacture based on adaptive multi-objective grey wolf algorithm
Authors
Yun-tao Zhao
Wei-gang Li
Ao Liu
Publication date
09-05-2020
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 22/2020
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05027-y

Other articles of this Issue 22/2020

Soft Computing 22/2020 Go to the issue

Methodologies and Application

Bifurcation analysis for energy transport system and its optimal control using parameter self-tuning law

Methodologies and Application

Multimodal human eye blink recognition method using feature level fusion for exigency detection

Methodologies and Application

A deep learning approach for effective intrusion detection in wireless networks using CNN

Methodologies and Application

A new effective robust nonlinear controller based on PSO for interleaved DC–DC boost converters for fuel cell voltage regulation

Methodologies and Application

A new machine learning-based healthcare monitoring model for student’s condition diagnosis in Internet of Things environment

Methodologies and Application

Neutrosophic linear programming using possibilistic mean

Premium Partner

    Image Credits