Experimental investigations of abrasive water jet machining on hybrid composites

Gulia, Vikas; Nargundkar, Aniket

doi:10.1016/j.matpr.2022.05.372

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…Table 5 contains best and mean solutions along with their associated standard deviation obtained for R a and kerf of AWJM using LAB, Multi-CI [59], GA [56], SA [36] and PSO [33] and comparison with the variations of CI [18] is shown in Table 6. In LAB approach, individuals are randomly assigned the group and the associated leader in the first iteration.…”

Section: Solutions To Awjm and Edmmentioning

confidence: 99%

LAB: A Leader-Advocate-Believer Based Optimization Algorithm

Reddy

Kulkarni

Krishnasamy

et al. 2022

Preprint

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This manuscript introduces a new socio-inspired metaheuristic technique referred to as Leader-Advocate-Believer based optimization algorithm (LAB) for engineering and global optimization problems. The proposed algorithm is inspired by the AI-based competitive behaviour exhibited by the individuals in a group while simultaneously improving themselves and establishing a role (Leader, Advocate, Believer). LAB performance in computational time and function evaluations are benchmarked using other metaheuristic algorithms. The LAB algorithm was applied for solving engineering problems, including abrasive water jet machining, electric discharge machining, micromachining processes and turning of titanium alloy in a minimum quantity lubrication environment. The results were compared with other algorithms such as Firefly Algorithm, Cohort Intelligence, Genetic Algorithm, Simulated Annealing, Particle Swarm Optimisation and Multi-Cohort Intelligence. The results from this study highlighted that the LAB outperforms the other algorithms in terms of function evaluations and computational time. The prominent features and limitations of the LAB algorithm are also discussed.

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Section: Solutions To Awjm and Edmmentioning

confidence: 99%

LAB: A Leader-Advocate-Believer Based Optimization Algorithm

Reddy

Kulkarni

Krishnasamy

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

LAB: a leader–advocate–believer-based optimization algorithm

et al. 2023

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Nanoabrasives-Assisted Abrasive Water Jet Machining of Bio-Composites — An Experimental and Optimization Approach

Nargundkar

Gulia

Khan

2023

J. Adv. Manuf. Syst.

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In recent years, biocomposites are developed to tackle the environmental legislation towards sustainable growth with renewable resources. Biocomposites are the most promising materials owing to their high strength-to-weight ratio and competitive cost. Among several biocomposites, Jute fiber and wood plastic composites (WPC) are preferred due to their wide applicability and availability. Abrasive water jet machining (AWJM) is a proven process for machining such biocomposites as it overcomes the drawbacks of conventional machining processes such as delamination and heat generation. In this work, experimental investigations for the effect of AWJM process parameters such as Standoff Distance, Traverse Speed and Water Pressure on responses Surface Roughness (Ra) and Kerf Taper Angle (Ta) for Jute Fiber and WPC through nanoabrasives-assisted AWJM have been carried out. The experiments are designed using response surface methodology (RSM) and further optimized using a genetic algorithm (GA). It is observed that water pressure is the most significant parameter irrespective of the material since higher pressure always yields better results compared to the lower pressure owing to the kinetic energy (impact) and molecular dynamics of abrasives. Further, this work explores the applicability of nanosized aluminum oxide as abrasives and results show that nanoparticles have significantly improved the surface finish.

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Experimental investigations of abrasive water jet machining on hybrid composites

Cited by 3 publications

References 18 publications

LAB: A Leader-Advocate-Believer Based Optimization Algorithm

LAB: A Leader-Advocate-Believer Based Optimization Algorithm

LAB: a leader–advocate–believer-based optimization algorithm

Nanoabrasives-Assisted Abrasive Water Jet Machining of Bio-Composites — An Experimental and Optimization Approach

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