Optimization of Process Parameters for Turning Hastelloy X under Different Machining Environments Using Evolutionary Algorithms: A Comparative Study

Sivalingam, Vinothkumar; Sun, Jie; Kumar, M. Siva; Nagarajan, Lenin; Natarajan, Yuvaraj; Salunkhe, Sachin; Nasr, Emad Abouel; Davim, J. Paulo; Hussein, H.M.A.

doi:10.3390/app11209725

Cited by 12 publications

(6 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second paper of this group is named "Optimization of process parameters for turning Hastelloy X under different machining environments using evolutionary algorithms: A comparative study" [14]. In their research, the authors investigated the machinability of turning Hastelloy X with a PVD Ti-Al-N coated insert tool in dry, wet, and cryogenic machining environments.…”

Section: Description Of the Papersmentioning

confidence: 99%

Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

Modrák

Šoltysová

2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

Section: Description Of the Papersmentioning

confidence: 99%

Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

Modrák

Šoltysová

2022

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The effectiveness of the MFO algorithm was confirmed through the optimization results. Sivalingam et al [ 38 ] used the MFO algorithm to select the optimal set of turning parameters while machining the Hastelloy X material in different machining environments. They compared the results of the MFO algorithm with the results of other evolutionary algorithms such as the genetic, grasshopper, grey wolf, and particle swarm optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Experimental Investigation of 3D Printed Micro Wind Turbine Blade Made of PLA Material

Arivalagan¹,

Rajakumar

Čep

et al. 2023

Materials

View full text Add to dashboard Cite

This paper presents the design, development, and optimization of a 3D printed micro horizontal axis wind turbine blade made of PLA material. The objective of the study was to produce 100 watts of power for low-wind-speed applications. The design process involved the selection of SD7080 airfoil and the determination of the material properties of PLA and ABS. A structural analysis of the blade was carried out using ANSYS software under different wind speeds, and Taguchi’s L16 orthogonal array was used for the experiments. The deformation and equivalent stress of the PLA material were identified, and the infill percentage and wind speed velocity were optimized using the moth-flame optimization (MFO) algorithm. The results demonstrate that PLA material has better structural characteristics compared to ABS material. The optimized parameters were used to fabricate the turbine blades using the fusion deposition modeling (FDM) technique, and they were tested in a wind tunnel.

show abstract

“…Sivalingam et al [17] carried out the optimization of process parameters for various machining environments using an evolutionary algorithm. Three different case studies were considered during their study.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization of titanium-coated stainless steel inserts for turning operation

Muniyappan,

Nagarajan

2023

Int. J. Simul. Multidisci. Des. Optim.

Self Cite

View full text Add to dashboard Cite

This study discusses the three essential process parameters cutting speed, feed and depth of cut on the quality of the tool during turning operation. A high-strength stainless steel tool coated with tungsten carbide is used. The tool is further strengthened using cryogenic treatment by immersing it in liquid nitrogen for 24 h and 36 h respectively. The surface roughness of the simple coated tool and the processed tool is compared using optimization techniques like the Taguchi technique and ANOVA. The analysis revealed that the surface roughness of the simple coated tool insert was 0.5 μm, whereas the surface roughness of the tool inserts immersed in liquid nitrogen for 36 h was 12.5 μm. The processed tool insert became brittle which lead to an increase in surface roughness after the turning operation. Three different algorithms like Grass Hopper Optimization, Moth Flame Optimization, and Salp Swarm Optimization were used to observe the feasibility of the optimization techniques. The Moth Flame Optimization algorithm had good convergence and also delivered results that were correlating with the ANOVA. It is concluded that while keeping a high tool rotation speed of 984.46 rpm, a low feed of 91.4 mm/min and a depth of cut of 0.25 mm resulted in a low surface roughness of simple coated tool insert was 0.59 μm.

show abstract

Optimization of Process Parameters for Turning Hastelloy X under Different Machining Environments Using Evolutionary Algorithms: A Comparative Study

Cited by 12 publications

References 41 publications

Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

Algorithms and Methods for Designing and Scheduling Smart Manufacturing Systems

Optimization and Experimental Investigation of 3D Printed Micro Wind Turbine Blade Made of PLA Material

Parameter optimization of titanium-coated stainless steel inserts for turning operation

Contact Info

Product

Resources

About