Taguchi- Grey Theory Based Harmony Search Algorithm (GR-HSA) for Predictive Modeling and Multi-Objective Optimization in Drilling of Polymer Composites

Kumar, Jogendra; Verma, Rajesh Kumar; Mondal, Arpan Kumar

doi:10.1007/s40799-020-00428-y

Cited by 15 publications

(4 citation statements)

References 76 publications

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“…Thereafter, the grey approach has been implemented to convert the multiple performance characteristics into a single dimensionless quantity termed as “Grade”. This grade is further empirically modeled using regression analysis and then the HS algorithm is applied to the empirical model of grey grade (Kumar et al , 2021). The below paragraphs describe this.…”

Section: Methodology Adopted In Present Workmentioning

confidence: 99%

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search

Sharma

Gupta

Khanna

et al. 2021

WJE

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Purpose The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and mean roughness depth (Rz) set a compromise. The problem in the processing of Ti-6Al-4V by conventional processes is a high strength, high hardness, high tool wear. Due to which WEDM is adopted to machine Ti-6Al-4V biomedical alloy. Ti-6Al-4V alloy has a number of applications in the engineering and medical industries due to its high strength biocompatibility. Design/methodology/approach The effect of control factors (i.e. pulse on-time: Pon; pulse off-time: Poff; servo voltage: SV) on the MRR and Rz is investigated in the present research. The planning of experiments is done using a Taguchi-based L9 orthogonal array. The percentage influence of each factor on responses is also evaluated. The multi-objective optimization is done using the grey approach initially. After that, the results were also calculated using harmony search (HS). Therefore, a hybrid approach of grey and HS is used to find the optimized values of MRR and Rz. Findings The maximum value of grade calculated by grey-HS is 0.7879, while in the case of the experimental run the maximum value of grey grade is 0.7239. The optimized setting after improvisation at this grade value is Pon: 130 µs; Poff: 45 µs and SV: 70 V for MRR and Rz collectively. The validation of the suggested setting is completed by experimentation. The values of MRR and Rz are coming out to be 6.4 mm3/min and 13.84 µm, which represents improvised results after the implementation of the HS algorithm. Originality/value The integration of the grey approach with the HS principle in the manufacturing domain is yet to be explored. Therefore, in the present research hybrid approach of grey-HS is implemented in the manufacturing domain having applications in medical industries.

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Section: Methodology Adopted In Present Workmentioning

confidence: 99%

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search

Sharma

Gupta

Khanna

et al. 2021

WJE

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“…Evolutionary algorithms have been utilized to optimize the objective optimization and predictive modelling. The results showed that the machining interface temperature increased with GR-HSA spindle speed (2,500 rpm), softening the polymeric material in the machining zone (Kumar et al, 2021). In multipass face milling processes, parameters were optimized using HSA and compared against HA and GA algorithms (Zarei et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Optimizing end milling parameters for custom 450 stainless steel using ant lion optimization and TOPSIS analysis

Devi,

Mahalingam,

Cep

et al. 2024

Front. Mech. Eng.

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The current research examines the effectiveness of cryogenically treated (CT) tungsten carbide cutting inserts on Custom450 stainless steel using multi-objective soft computing approaches. The Taguchi-based L27 orthogonal array was employed in the experiments. During milling operations, cutting force, surface roughness, and cutting temperature were measured at different spindle speeds (rpm), feed rates (mm/min), and constant depths of cut (mm). The surface roughness and chip morphology of the Custom 450 stainless steel machined by cryo-treated (CT) and untreated (UT) cutting tool inserts were compared across various responses to cutting temperature and force. This paper also carried out multi-objective optimization, employing algorithm techniques such as Grasshopper Optimization Algorithm (GHO), Grey Wolf Optimization(GWO), Harmony Search Algorithm(HAS), and Ant line Optimization (ALO). The Multi-objective Taguchi approach and TOPSIS were first used to optimize the machining process parameters (spindle speed, feed rate, and cryogenic treatment) with different performance characteristics. Second, to relate the machining process parameters with the performance characteristics (cutting force, cutting temperature, and surface roughness), a mathematical model was developed using response surface analysis. The created mathematical response model was validated using ANOVA. The results showed that in IGD values of GHO, GWO, HSA and ALO module had 2.5765, 2.4706, 2.3647 and 2.5882 respectively, ALO has the best performance indicator. A Friedman’s test was also conducted, revealing higher resolution with the ALO method than with the HSA, GWO, and GHO methods. The results of the scanning test show that the ALO approach is workable.

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“…However, it is used to create complex geometries and slots in laminate polymers such as biomedical, sensors, optical, aircraft nozzle, etc. Previous investigation findings reveal complex machining issues encountered during machining laminate polymers: hole dilation (H D ), surface defects and damages, fiber breakage, and fiber pull-out [18]. It reduces the durability and overall efficiency of the product assembly.…”

Section: Introductionmentioning

confidence: 99%

Using Harris Hawk algorithm for experimental study on the hole dilation mechanism during Micro-machining (μM) of Graphene nanoplatelets/Carbon fiber (GnP/C) reinforced polymeric composite

Vishwakarma

Kesarwani

Verma

et al. 2023

Mater. Res. Express

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This article highlights the hole generation mechanism in the Graphene nanoplatelets/Carbon fiber (GnP/C) reinforced polymeric composite. The lower conductivity of conventional carbon fiber reinforced polymer (CFRP) composites restricts the μEDM (Micro Electrical discharge machining) test. This limitation is overwhelmed by adding highly conductive GnP powder in the CFR (epoxy) polymer composites. The generation of the drilled hole is possible through the increase in the electrical conductivity of the samples. During μEDM, in order to examine the quality of machined holes in terms of hole dilation (HD), different process constraints such as voltage (80, 120, 160 V), pulse on time (30, 40, 50 s), and weight percentage of GnP (0.25, 1, 1.75%) are evaluated (HD). The hole dilation was significantly influenced by GnP concentration and voltage alteration during the micromachining process. Analysis of Variance (ANOVA) results confirmed that the GnP concentration (67.51%) was the most prominent factor affecting hole dilation. The high-resolution microscopy test was performed to investigate the hole machined surface and damages occur during the micromachining test. The variation in the thermal nature of carbon fabric and resin generates internal stress between the composite material, which results in micro-cracks developed in the laminates. The varying parameters were controlled and optimized through a recently developed nature-inspired metaheuristics algorithm based on the conduct of Harris Hawk (HH). The optimal parametric condition for the hole dilation is voltage (level 1–80 volt), pulse duration (level 1–30 μs), and GnP concentration% (Level 1–0.25). The findings of the validation test demonstrate the application potential of the proposed Harris Hawk algorithm.

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Taguchi- Grey Theory Based Harmony Search Algorithm (GR-HSA) for Predictive Modeling and Multi-Objective Optimization in Drilling of Polymer Composites

Cited by 15 publications

References 76 publications

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search

Optimizing end milling parameters for custom 450 stainless steel using ant lion optimization and TOPSIS analysis

Using Harris Hawk algorithm for experimental study on the hole dilation mechanism during Micro-machining (μM) of Graphene nanoplatelets/Carbon fiber (GnP/C) reinforced polymeric composite

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Taguchi- Grey Theory Based Harmony Search Algorithm (GR-HSA) for Predictive Modeling and Multi-Objective Optimization in Drilling of Polymer Composites

Cited by 15 publications

References 76 publications

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and Rz using grey-harmony search

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and Rz using grey-harmony search

Optimizing end milling parameters for custom 450 stainless steel using ant lion optimization and TOPSIS analysis

Using Harris Hawk algorithm for experimental study on the hole dilation mechanism during Micro-machining (μM) of Graphene nanoplatelets/Carbon fiber (GnP/C) reinforced polymeric composite

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Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search

Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R_z using grey-harmony search