Multi-Response Optimization of Machining Process Parameters for Wire Electrical Discharge Machining of Lead-Induced Ti-6Al-4V Alloy Using AHP–TOPSIS Method

Prasad, A.V.S. Ram; Ramji, K.; Kolli, Murahari; Krishna, G. Vamsi

doi:10.1142/s0219686719500112

Cited by 33 publications

(7 citation statements)

References 37 publications

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“…Based on the TOPSIS approach the significant task is to find the distribution of weights. Ram Prasad et al adopted a measurement level of standardization to calculate weights with help of the standard deviation method [30].…”

Section: Topsis For Multi-objective Optimizationmentioning

confidence: 99%

Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach

Kolli¹,

Prasad

Naresh³

2021

SN Appl. Sci.

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The present study deals with the machining of hybrid Al 7075/B4C/Gr composite using Abrasive Aqua Jet Machining. The effects of selected input factors, i.e., water jet pressure (WJP), stand-off distance (SOD), and traverse speed (TS) on the performance characteristics, namely taper angle (TA), surface roughness (Ra), and the material removal rate (MRR) are investigated. The experimental runs and test strategies are formulated using the Response Surface Methodology-Central Composite Design approach. Analysis of Variance (ANOVA) was used to examine the effect of input factors and their interactions with performance characteristics. MRR, Ra, and TA optimum condition and mathematical equations were also developed. Further, the multi-optimization method “Technique for Order of Preference by Similarity to Ideal Solution” is considered to find out the best combinations of input factors for optimized output factors on the hybrid composite. The ANOVA results confirm that among the input factors, WJP and SOD are the most significant factors, and the percentage distribution of input factors are found to be jet pressure (55.21%), stand-off distance (23.36%), and traverse speed (2.56%). The multi-objective optimum conditions of the input factors are WJP (A1) 210 bar, SOD (B1), and TS (C3) 30 mm/min, that produce optimal values of the considered responses, i.e., MRR up to 4.8703 mm3/min, Ra up to 3.57 μm and TA up to 0.189°. The TA has improved by 49.6% through the multi-objective optimum results when compared with single parameter optimized results. Article Highlights Hybrid Al7075/B4C/Gr composite fabricated through the rotary stir casting technique Experimental planning and designing layouts using Response Surface Methodology scheme and mathematical equations are produced with Design Expert 11.0. The best TA was obtained by RSM-TOPSIS approach, found at a lower WJP and SOD and a higher TS.

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Section: Topsis For Multi-objective Optimizationmentioning

confidence: 99%

Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach

Kolli¹,

Prasad

Naresh³

2021

SN Appl. Sci.

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“…2. [17]. In this experiment L27 OA was utilized for designing the experiments Table 2 shows the experimental layout.…”

Section: Experimental Methodsmentioning

confidence: 99%

“…It is obtained by the product normalized values and weighted values. Table 9 is representing as weighted normalized matrix (Kij) [17].…”

Section: Multi Response Optimization Using Topsis Technique For Machining Inconel X750mentioning

confidence: 99%

Multi-Objective Optimization of Process Parameters for Powder Mixed Electrical Discharge Machining of Inconel X-750 Alloy Using Taguchi-Topsis Approach

Khadar

Jagannadha

Kolli³

2021

Strojnícky Časopis - Journal of Mechanical Engineering

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The paper investigates the influence of boron carbide powder (B4C) mixed in dielectric fluid on EDM of Inconel X-750 alloy. The process parameters selected as discharge current (Ip), pulse on time(Ton), pulse off time(Toff), boron carbide(B4C) powder concentration to examine their performance responses on Material Removal Rate (MRR), Surface Roughness(Ra) and Recast Layer Thickness (RLT).In this study, o examine the process parameters which influence the EDM process during machining of Inconel X-750 alloy using combined techniques of Taguchi and similarity to ideal solutions (TOPSIS).Analysis of variance (ANOVA) was conducted on multi-optimization technique of Taguchi-TOPSIS. ANOVA results identified the best process parameters and their percentages. It developed the mathematical equation on Taguchi-TOPSIS performance characteristics results. The multi optimization results indicated that Ip and Toff are more significant parameters; V, and Ton parameters are less significant. Finally, surface structures were studied at optimized EDM conditions by using scanning electron microscope (SEM).

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“…AHP is considered as one of the most prominent analytical methods of multi-objective functions developed by Thomas (1970) for solving complicated decision-making (DM) problems. AHP is commonly used as a DM tool because it can manage subjective judgment decision conditions and deliver preferential consistency [25]. The following step has been taken for the weight calculation in AHP:…”

Section: Multi-objective Optimization: Topsis-ahp Hybrid Approachmentioning

confidence: 99%

Experimental investigations and multiple criteria optimization during milling of Graphene Oxide (GO) doped epoxy/CFRP composites using TOPSIS-AHP hybrid module

Kumar¹,

Verma²

2020

FME Transactions

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The present study developed a robust hybrid module for multi-criteria optimization of conflicting machining performances during milling of GO doped Epoxy/CFRP composites. Doping of GO radically increased the dispersion ratio which creates a better interaction of matrix and reinforcement. The machining behavior of these polymers significantly differs from metals and their alloys. The process constraints were considered as spindle speed (S), feed rate (F), depth of cut (D) and GO wt. percent (GO). Taguchi L9 OA was used in the combined optimization approach of AHP and TOPSIS. The optimum parametric combination was obtained as S2F2D1GO1 which shows substantial improvement in desired machining characteristics. The optimal results were verified through a confirmatory test, which shows good agreement with actual ones. The minimum roughness, cutting force and maximum MRR are found as 0.730 μm, 4.706 N, and 17.0484 mm 3 /s, respectively. The ANOVA inferred that S (79.55%) and F (4.80%) are the most important parameters for overall assessment value.

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Multi-Response Optimization of Machining Process Parameters for Wire Electrical Discharge Machining of Lead-Induced Ti-6Al-4V Alloy Using AHP–TOPSIS Method

Cited by 33 publications

References 37 publications

Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach

Multi-objective optimization of AAJM process parameters for cutting of B4C/Gr particles reinforced Al 7075 composites using RSM-TOPSIS approach

Multi-Objective Optimization of Process Parameters for Powder Mixed Electrical Discharge Machining of Inconel X-750 Alloy Using Taguchi-Topsis Approach

Experimental investigations and multiple criteria optimization during milling of Graphene Oxide (GO) doped epoxy/CFRP composites using TOPSIS-AHP hybrid module

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