Ant Lion Optimizer (ALO) algorithm for machinability assessment during Milling of polymer composites modified by zero-dimensional carbon nano onions (0D-CNOs)

Kesarwani, Shivi; Verma, Rajesh

doi:10.1016/j.measurement.2021.110282

Cited by 11 publications

(5 citation statements)

References 56 publications

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“…The gray theory provides a method for determining the optimal values for tribological reactions. The gray method is often used to deal with problems with multiple responses of tribological characteristics 24–27 . There are two zones in the method: the gray and white zones.…”

Section: Methodsmentioning

confidence: 99%

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Production and tribological performance under sliding contact conditions of zirconia and reduced graphene oxide loaded polymer nanocomposites for biomedical applications

Singh,

Verma,

Singh

et al. 2023

Polymer Composites

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This work targets the production of novel biomaterials and an optimized process to disperse Zirconia (ZrO2) and reduced graphene oxide (rGO) in the ultra‐high molecular weight polyethylene (UHMWPE) matrix. The mechanical and wear performance of the developed samples were evaluated through compression and tribological tests utilizing a bio‐tribometer. The developed samples are tested under simulated body fluid (SBF) lubricating media. In particular, the hybrid material is made of 5 wt% zirconia and 1 wt% rGO have an enhanced compression modulus of 0.29 GPa. This indicates a 26.08% improvement over pristine UHMWPE. Besides this, the compressive strength of this hybrid material is about 46.75% higher than that of pristine UHMWPE. The gray theory provided optimum settings as 1 wt% rGO and 5 wt% ZrO2 fillers are loading with 60 N load and 900 sec cycle time. The long‐range organized lamellar structures and microfibers were formed between the crystals with the help of the graphene layers. The inclusion of rGO nanofillers (1 wt%) and zirconia improve the wear resistance, which signifies the best‐desired values for coefficient of friction (Cf) and Specific wear rate (Wr). Improved loading conditions for prosthetics and implant components are possible with modified UHMWPE.Highlights This work highlights the tribological performances of hybrid nanocomposites. The effect of rGO and ceramic (ZrO2) nanofillers on UHMWPE was examined. Zirconia/rGO enhanced bio‐inert, wear‐resistant and biocompatibility. Compared to pristine, 1 wt% rGO and 5 wt% ZrO2 sample shows better results. Orthopedic and dental prostheses may be made using hybrid nanocomposite.

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Section: Methodsmentioning

confidence: 99%

“…The gray method is often used to deal with problems with multiple responses of tribological characteristics. [24][25][26][27] There are two zones in the method: the gray and white zones. The gray zone shows a system with incomplete information, while the white zone represents a system with all the necessary information.…”

Section: Optimization Methodsmentioning

confidence: 99%

Production and tribological performance under sliding contact conditions of zirconia and reduced graphene oxide loaded polymer nanocomposites for biomedical applications

Singh,

Verma,

Singh

et al. 2023

Polymer Composites

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“…The ant-lion algorithm (ALO),as a new type of intelligent algorithm with good robustness and strong optimization-seeking ability, can effectively solve the stability problems occurring in the temperature control of high-speed FDM 3D printing,and has been adopted in various professions [7][8][9]. Nevertheless, the ALO algorithm needs to be improved because it still has the problem of relying too much on the initial solution, the elitist efficiency is not high, and it is easy to fall into the local optimization.…”

Section: Of 23mentioning

confidence: 99%

“…To avoid the existence of small circles and unstable points in the chaotic mapping, the periodicity, ergodicity and regularity of the chaotic variables are maintained.In this paper, we present a new chaotic mapping, named Tent-Logistic-Cotangent composite mapping, with the mathematical expression as in equation (9).…”

Section: Tent-logistic-cotangent Composite Chaotic Mappingmentioning

confidence: 99%

High-Speed 3D Printing Temperature Control with Optimized PID Parameters Based on Improved ALO Algorithm

Zhou,

Jiang,

et al. 2024

Preprint

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To address the large hysteresis and susceptibility to instability in high-speed deposition fusion moulding (FDM) 3D printing’s temperature control, this paper proposes an improved ant-lion optimization algorithm (OCALO) to optimize the PID parameters.The improvement aims to solve the problem that the traditional ant-lion optimization algorithm (ALO) reduces the population diversity and tends to fall into the local optimal solution when it is close to the global optimal solution.The generation of the initial solution is enhanced by the introduction of a new Tent-Logistic-Cotangent composite chaotic mapping. This integration into Elite Opposition-Based Learning aids in optimizing population diversity. Concurrently, the incorporation of cosine factors of a specified parameter into the elitist formula of the traditional ALO algorithm is aimed at reducing the tendency of ants to randomly gravitate towards ant-lions with lower fitness values. This adjustment helps in balancing the exploration-exploitation trade-off in the algorithmic process. Compared with two existing classical algorithms and three improved ALO algorithms, the algorithm improves the convergence speed, global search ability and the ability to jump out of the local optimal solution. The improved algorithm was combined with PID control to design an OCALO-PID temperature controller and simulated on a high-speed 3D printing temperature model identified by modelling. The results show that the method improves the transient and steady-state performance of reactor temperature control with good control accuracy and robustness. Finally, the proposed algorithm is applied to a physical experimental platform to verify the feasibility of the algorithm.

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“…Cutting circumstances for MMCs are the most important part of a machining operation. When LM23 Al/SiC particle composites were turned by [25,26], it was discovered that the surface fnish was impacted by machining parameters. Te best conditions for increasing metal removal rate while reducing surface roughness were found utilizing RSM.…”

Section: Introductionmentioning

confidence: 99%

Effect of ZrB2 Particles on Machining Parameters of AA7475 Alloy-Based Composites by Optimization Technique

Mahesha

Suprabha

Kumar³

et al. 2023

Advances in Materials Science and Engineering

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ZrB2 particle-reinforced AA7475 is a potential material for high-performance aeronautical engine blades because of its exceptional characteristics. The machinability of ZrB2/AA7475 metal matrix composites (MMC) is still a challenge because of the influence of ZrB2 particles. The impact of ZrB2 particulates on the machined parameters of ZrB2/aluminum matrix composites was explored experimentally in order to meet the needs of industry. Additionally, the best machining circumstances for this type of material matrix composites were studied in this research. A surface roughness (Ra) and metal removal rate (MRR) multiobjective optimization model was built, and a set of ideal parameter combinations was produced, with the surface roughness of ZrB2/AA7475 material matrix composites being lower than that of the nonreinforced alloys at the same cutting speed.

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Ant Lion Optimizer (ALO) algorithm for machinability assessment during Milling of polymer composites modified by zero-dimensional carbon nano onions (0D-CNOs)

Cited by 11 publications

References 56 publications

Production and tribological performance under sliding contact conditions of zirconia and reduced graphene oxide loaded polymer nanocomposites for biomedical applications

Production and tribological performance under sliding contact conditions of zirconia and reduced graphene oxide loaded polymer nanocomposites for biomedical applications

High-Speed 3D Printing Temperature Control with Optimized PID Parameters Based on Improved ALO Algorithm

Effect of ZrB2 Particles on Machining Parameters of AA7475 Alloy-Based Composites by Optimization Technique

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