The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
-
, , , , and
Abstract
As a result of the requirements imposed by international organizations and governments on fuel emissions, there is a growing interest in the design of lightweight vehicles with low-fuel emissions. Metaheuristic methods have been widely used for the optimum design of vehicle components in recent years for which successful results have been reported. Encouraged by such results obtained from the methods mentioned, the Henry gas solubility optimization algorithm (HGSO), a recently developed optimization method, is used to solve the shape optimization of a vehicle brake pedal to prove how HGSO can be used for solving shape optimization problems. This paper is the first application of the HGSO in connection with real-world optimization problems in the literature. The results show HGSO's ability to design better optimal components in the automotive industry.
References
1 B. S. Yildiz , A. R.Yildiz: Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod, Materials Testing60 (2018), No. 3, pp. 311–315 DOI: 10.3139/120.111153Search in Google Scholar
2 A. R. Yildiz , H.Abderazek, S.Mirjalili: A Comparative Study of Recent Non-traditional Methods for Mechanical Design Optimization, Archives of Computational Methods in Engineering (2019) DOI: 10.1007/s11831-019-09343-x (in print)Search in Google Scholar
3 A. R. Yildiz , B. S.Yildiz, S. M.Sait, X. Y.Li: The Harris hawks, grasshopper and multi-verse optimization algorithms for the selection of optimal machining parameters in manufacturing operations, Materials Testing61 (2019), pp. 725–733 DOI: 10.3139/120.111377Search in Google Scholar
4 A. R. Yildiz , B. S.Yildiz, S. M.Sait, S.Bureerat, N.Pholdee: A new hybrid Harris hawks Nelder-Mead optimization algorithm for solving design and manufacturing problems, Materials Testing61 (2019); No. 8, pp. 735–743 DOI: 10.3139/120.111378Search in Google Scholar
5 B. S. Yildiz , A. R.Yildiz: The Harris hawks optimization algorithm, salp swarm optimization algorithm, grasshopper optimization algorithm and dragonfly algorithm for structural design optimization of vehicle components, Materials Testing61 (2019), No. 8, pp. 744–748 DOI: 10.3139/120.111379Search in Google Scholar
6 T. Kunakote , S.Bureerat: Multi-objective topology optimization using evolutionary algorithms, Engineering Optimization43 (2011), No. 5, pp. 541–557 DOI: 10.1080/0305215X.2010.502935Search in Google Scholar
7 B. S. Yildiz , A. R.Yildiz: Moth-flame optimization algorithm to determine optimal machining parameters in manufacturing processes, Materials Testing59 (2017), No. 5, pp. 425–429 DOI: 10.3139/120.111024Search in Google Scholar
8 A. R. Yildiz : A comparative study of population-based optimization algorithms for turning operations, Information Sciences210 (2012), pp. 81–88 DOI: 10.1016/j.ins.2012.03.005Search in Google Scholar
9 A. R. Yildiz : An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry, Journal of Materials Processing Technology209 (2009), No. 6, pp. 2773–2780 DOI: 10.1016/j.jmatprotec.2008.06.028Search in Google Scholar
10 A. R. Yildiz : A new hybrid bee colony optimization approach for robust optimal design and manufacturing, Applied Soft Computing13 (2013), No. 5, pp. 2906–2912 DOI: 10.1016/j.asoc.2012.04.013Search in Google Scholar
11 A. R. Yildiz : A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations, Applied Soft Computing13 (2013), No. 3, pp. 1561–1566 DOI: 10.1016/j.asoc.2011.12.016Search in Google Scholar
12 A. R. Yildiz : Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations, Applied Soft Computing13 (2013), No. 3, pp. 1433–1439 DOI: 10.1016/j.asoc.2012.01.012Search in Google Scholar
13 A. R. Yildiz , K.Solanki: Multi-objective optimization of vehicle crashworthiness using new particle swarm based approach, International Journal of Advanced Manufacturing Technology59 (2012), No. 1–4, pp. 367–376 DOI: 10.1007/s00170-011-3496-ySearch in Google Scholar
14 A. R. Yildiz : Hybrid immune-simulated annealing algorithm for optimal design and manufacturing, International Journal of Materials and Product Technology34 (2009), No. 3, pp. 217–226 DOI: 10.1504/IJMPT.2009.024655Search in Google Scholar
15 T. Güler , A.Demirci, A. R.Yıldız, U.Yavuz: Lightweight design of an automobile hinge component using glass fiber polyamide composites, Materials Testing60(2018), No. 3, pp. 306–310Search in Google Scholar
16 B. S. Yildiz , H.Lekesiz: Fatigue-based structural optimisation of vehicle components, International Journal of Vehicle Design73 (2017), pp. 54–62 DOI: 10.1504/IJVD.2017.10003398Search in Google Scholar
17 F. Hamza , H.Abderazek, S.Lakhdar, D.Ferhat, A. R.Yildiz: Optimum design of cam-roller follower mechanism using a new evolutionary algorithm, The International Journal of Advanced Manufacturing Technology99 (2018), No. 5–8, pp. 1261–1282 DOI: 10.1007/s00170-018-2543-3Search in Google Scholar
18 N. Pholdee , S.Bureerat, A. R.Yildiz: Hybrid real-code population-based incremental learning and differential evolution for many-objective optimisation of an automotive floor-frame, International Journal of Vehicle Design73 (2017), No. 1–3, pp. 20–53 DOI: 10.1504/IJVD.2017.082578Search in Google Scholar
19 S. Karagöz , A. R.Yildiz: A comparison of recent metaheuristic algorithms for crashworthiness optimisation of vehicle thin-walled tubes considering sheet metal forming effects, International Journal of Vehicle Design73 (2017), No. 1–3, pp. 179–188 DOI: 10.1504/IJVD.2017.082593Search in Google Scholar
20 A. R. Yildiz , E.Kurtuluş, E.Demirci, B. S.Yildiz, S.Karagöz: Optimization of thin-wall structures using hybrid gravitational search and Nelder-Mead algorithm, Materials Testing58 (2016), No. 1, pp. 75–78 DOI: 10.3139/120.110823Search in Google Scholar
21 B. S. Yildiz : A comparative investigation of eight recent population-based optimisation algorithms for mechanical and structural design problems, International Journal of Vehicle Design73 (2017), No. 1–3, pp. 208–218 DOI: 10.1504/IJVD.2017.082603Search in Google Scholar
22 M. Kiani , A. R.Yildiz: A comparative study of non-traditional methods for vehicle crashworthiness and NVH optimization, Archives of Computational Methods in Engineering23 (2016), No. 4, pp. 723–734 DOI: 10.1007/s11831-015-9155-ySearch in Google Scholar
23 B. S. Yildiz , H.Lekesiz, A. R.Yildiz: Structural design of vehicle components using gravitational search and charged system search algorithms, Materials Testing58 (2016), No. 1, pp. 79–81 DOI: 10.3139/120.110819Search in Google Scholar
24 A. R. Yildiz : Comparison of evolutionary based optimization algorithms for structural design optimization, Engineering Applications of Artificial Intelligence26 (2013), No. 1, pp. 327–333 DOI: 10.1016/j.engappai.2012.05.014Search in Google Scholar
25 A. R. Yildiz , K.Saitou: Topology synthesis of multi-component structural assemblies in continuum domains, Transactions of ASME, Journal of Mechanical Design133 (2011), No. 1, 011008-9 DOI: 10.1115/1.4003038Search in Google Scholar
26 A. R. Yıldız , U. A.Kılıçarpa, E.Demirci: Topography and topology optimization of diesel engine components for light-weight design in the automotive industry, Materials Testing61 (2019), No. 1, pp. 27–34 DOI: 10.3139/120.111277Search in Google Scholar
27 E. Demirci , A. R.Yıldız: An experimental and numerical investigation of the effects of geometry and spot welds on the crashworthiness of vehicle thin-walled structures, Materials Testing60 (2018), No. 6, pp. 553–561 DOI: 10.3139/120.111187Search in Google Scholar
28 E. Demirci , A. R.Yıldız: An investigation of the crash performance of magnesium, aluminum and advanced high strength steels and different cross-sections for vehicle thin-walled energy absorbers, Materials Testing60 (2018), No. 7–8, pp. 661–668 DOI: 10.3139/120.111201Search in Google Scholar
29 A. R. Yildiz : A new hybrid particle swarm optimization approach for structural design optimization in automotive industry, Journal of Automobile Engineering226 (2012), No. 10, pp. 1340–1351 DOI: 10.1177/0954407012443636Search in Google Scholar
30 B. S. Yildiz : Natural frequency optimization of vehicle components using the interior search algorithm, Materials Testing59 (2017), No. 5, pp. 456–458 DOI: 10.3139/120.111018Search in Google Scholar
31 E. Demirci , A. R.Yıldız: A new hybrid approach for reliability-based design optimization of structural components, Materials Testing61 (2019), No. 2, pp. 111–119 DOI: 10.3139/120.111291Search in Google Scholar
32 A. R. Yıldız , U. A.Kılıçarpa, E.Demirci: Topography and topology optimization of diesel engine components for light-weight design in the automotive industry, Materials Testing61 (2019), No. 1, pp. 27–34Search in Google Scholar
33 A. Askarzadeh : A novel metaheuristic method for solving constrained engineering optimization problems: Crow search algorithm, Computers & Structure169 (2016), pp. 1–12 DOI: 10.1016/j.compstruc.2016.03.001Search in Google Scholar
34 A. R. Yildiz : A novel hybrid whale nelder mead algorithm for optimization of design and manufacturing problems, International Journal of Advanced Manufacturing Technology (2019) DOI: 10.1007/s00170-019-04532-1 (in print)Search in Google Scholar
35 H. Abderazek , A. R.Yildiz, S.Mirjalili: Comparison of recent optimization algorithms for design optimization of a cam-follower mechanism, Knowledge-Based Systems (2019) DOI: 10.1016/j.knosys.2019.105237 (in print)Search in Google Scholar
36 A. R. Yildiz : Designing of optimum vehicle components using new generation optimization methods, Journal of Polytechnic20 (2017), No. 2, pp. 319–323 DOI: 10.2339/2017.20.2.325-332Search in Google Scholar
37 A. R. Yildiz , F.Ozturk: Hybrid enhanced genetic algorithm to select optimal machining parameters in turning operation, Proc. Instn. Mech. Engrs, Part B, Journal of Engineering Manufacture220 (2006), No. 12, pp. 2041–2053 DOI: 10.1243/09544054JEM570Search in Google Scholar
38 A. R. Yildiz : A New Design Optimization Framework based on immune Algorithm and Taguchi Method, Computers in Industry60 (2009), pp. 613–620 DOI: 10.1016/j.compind.2009.05.016Search in Google Scholar
39 S. Bureerat , N.Pholdee: Inverse problem based differential evolution for efficient structural health monitoring of trusses, Applied Soft Computing66 (2018), pp. 462–472 DOI: 10.1016/j.asoc.2018.02.046Search in Google Scholar
40 O. F. Sonmez : Shape optimization of 2D structures using simulated annealing, Computer Methods in Applied Mechanics and Engineering, 196(2007), pp. 3279–3299 DOI: 10.1016/j.cma.2007.01.019Search in Google Scholar
41 A. R. Yildiz , N.Öztürk, N.Kaya, F.Öztürk: Hybrid multi-objective shape design optimization using Taguchi's method and genetic algorithm, Structural and Multidisciplinary Optimization34 (2007), No. 4, pp. 317–332 DOI: 10.1007/s00158-006-0079-xSearch in Google Scholar
42 A. R. Yildiz , N.Öztürk, N.Kaya, F.Öztürk: Integrated optimal topology design and shape optimization using neural networks, Structural and Multidisciplinary Optimization25 (2003), No. 4, pp. 251–260 DOI: 10.1007/s00158-003-0300-0 13Search in Google Scholar
43 N. Öztürk , A. R.Yildiz, N.Kaya, F.Öztürk: Neuro-genetic design optimization framework to support the integrated robust design optimization process in CE, 14 (2006), No. 1, pp. 5–16 DOI: 10.1177/1063293X06063314Search in Google Scholar
44 F. A. Hashim , E. H.Houssein, M. S.Mabrouk, W.Al-Atabany, S.Mirjalili: Henry gas solubility optimization: A novel physics-based algorithm, Future Generation Computer Systems, 101(2019), pp. 646–667 DOI: 10.1016/j.future.2019.07.015Search in Google Scholar
© 2020, Carl Hanser Verlag, München
Articles in the same Issue
- BEZUGSQUELLEN
- Materials Testing
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Mechanical behavior of annealed electrochemically deposited nanocrystalline nickel-iron alloys
- Optimum design of an air suspension seat using recent structural optimization techniques
- A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
- The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
- Fatigue behavior of two notched cutting tool materials – High speed steel and cemented carbide
- Impact strength of cemented implant interfaces
- Stress corrosion cracking of a high strength steel in organic salt drilling fluids
- Utilization of the focus variation method for determining the wear volume in the pin-on-disk sliding test
- Drying of steel pipes at a hot-dip galvanizing plant by induction heating
- Mechanical properties and microstructure of flash-butt CT-90 steel weldet joint
- Fracture toughness of MAG welds in pulsed current of API 5L AX65M thermomechanical treated steel
- Machinability evaluation of multi-directional turning tools
- Optimization and thermal analysis of friction stir welding of AA 6061-AA 8011 joints
- Acoustic emission fractal characteristics analysis of steel fiber reinforced concrete during uniaxial tensile damage
Articles in the same Issue
- BEZUGSQUELLEN
- Materials Testing
- Inhalt/Contents
- Contents
- Fachbeiträge/Technical Contributions
- Mechanical behavior of annealed electrochemically deposited nanocrystalline nickel-iron alloys
- Optimum design of an air suspension seat using recent structural optimization techniques
- A novel hybrid Harris hawks-simulated annealing algorithm and RBF-based metamodel for design optimization of highway guardrails
- The Henry gas solubility optimization algorithm for optimum structural design of automobile brake components
- Fatigue behavior of two notched cutting tool materials – High speed steel and cemented carbide
- Impact strength of cemented implant interfaces
- Stress corrosion cracking of a high strength steel in organic salt drilling fluids
- Utilization of the focus variation method for determining the wear volume in the pin-on-disk sliding test
- Drying of steel pipes at a hot-dip galvanizing plant by induction heating
- Mechanical properties and microstructure of flash-butt CT-90 steel weldet joint
- Fracture toughness of MAG welds in pulsed current of API 5L AX65M thermomechanical treated steel
- Machinability evaluation of multi-directional turning tools
- Optimization and thermal analysis of friction stir welding of AA 6061-AA 8011 joints
- Acoustic emission fractal characteristics analysis of steel fiber reinforced concrete during uniaxial tensile damage