Optimization of boriding process on AISI 1015 steel using response surface methodology

Krishnan, Santhana; Muthiah, Prince; Maniraj, J.

doi:10.1590/1517-7076-rmat-2023-0086

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…A study on low-carbon mold steel (UNS T51620) was carried out using BBD and GRA for the optimization of R a and M rr and P c . The result showed significant improvement in the optimized set of parameters with a 10% deviation proving the reliability of the developed model [14,15,16]. A literature study was exclusively carried [17] on GA and their use in CNC milling for the optimization of machining parameters.…”

Section: Introductionmentioning

confidence: 93%

Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis

Kumar,

Vinodh,

Satishkumar

et al. 2024

Matéria (Rio J.)

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The goal of this study is to increase material removal rate (M rr ), and minimize consumption of power (P c ) and surface integrity (S r ) while using the least amount of resources thereby addressing sustainable manufacturing and optimization in machining operation. Box Behnken Design (BBD) and Grey Regression Analysis (GRA) are systematically followed in the machining process on UNS T51603. The experimental runs were performed based on BBD followed by multi-objective optimization using GRA. The practical applicability and reliability of the optimized parameters is evaluated by confirmatory runs, and the optimal solution of single and multi-objective solution for S r , M rr , and P c , is verified. The lowest S r was achieved when S s was maintained at 2000 rpm, with D c at 0.6 mm, F r at 750 mm/min, and C fr 6 l/min. maximum M rr was attained when S s assigned at 1750 rpm, with D c at 0.6 mm, F r at 750 mm/min, and C fr 8 l/min. When compared to confirmatory runs, the optimized set of parameters for BBD and GRA reveals a 10% variance, demonstrating the validity of the optimization strategies used. In terms of P c the optimized parameters were found to be 1750 rpm, 0.2 mm, 500 mm/min, and 6 l/min.

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Section: Introductionmentioning

confidence: 93%

Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis

Kumar,

Vinodh,

Satishkumar

et al. 2024

Matéria (Rio J.)

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Green machinability studies on SAE 8822 alloy steel using RSM and taguchi method

Ramalingam,

Karuppusamy,

Subramaniyam

et al. 2024

Matéria (Rio J.)

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Investigation on Turning Parameters of Austempered Ductile Iron Using Response Surface Methodology Approach

Velusamy,

Senthilkumar,

Selvan

et al. 2024

SAE Technical Paper Series

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<div class="section abstract"><div class="htmlview paragraph">Austempered ductile iron (ADI) is an alternative to hardened steel for machined parts with high hardness, ductility, strength and fatigue strength. The optimal cutting parameters to perform turning operation on ADI with PCBN insert are predicted through the response surface methodology (RSM) approach. Design Expert Software was used to design fifteen experiment trials by changing cutting parameters including speed (N) rpm, feed (f) mm/min, and depth of cut (d) mm. The outcomes of the experiments were then examined. The mathematical model determined in the Analysis of Variance (ANOVA) satisfied output responses concerning the input parameters. The optimal turning parameters, N: 1039.11 rpm, f: .5 mm/min and d: 0.0974 mm is revealed the both responses. The confirmation experiment results revealed that the predicted value of responses is better in agreement with experimented responses. The optimal turning parameters recommended to industries application to machine the ADI with significant production.</div></div>

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Optimization of boriding process on AISI 1015 steel using response surface methodology

Cited by 3 publications

References 27 publications

Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis

Evaluation of machinability performance of T51603 using response surface methodology and grey relational analysis

Green machinability studies on SAE 8822 alloy steel using RSM and taguchi method

Investigation on Turning Parameters of Austempered Ductile Iron Using Response Surface Methodology Approach

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