Process Optimization of Abrasive Water Jet Machining of Aluminum Hybrid Composite Using Taguchi DEAR Methodology

Manoj, M.; Jinu, G. R.; Kumar, J. Suresh

doi:10.1007/s40962-023-01071-0

Cited by 8 publications

(5 citation statements)

References 25 publications

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“…The Taguchi technique is a statistical analysis tool that uses an efficient design of experiments. It uses an orthogonal array including various process parameters that reduce the number of experiments and the duration of the experiment [9]. In this study, solute: solvent ratio, sonication temperature, and sonication time variables were determined as control parameters in ultrasound-assisted extraction of bioactive components from dill (Table 1).…”

Section: Experimental Design D1 Taguchi Methodsmentioning

confidence: 99%

Multi Response Optimization of Process Parameters in the Extraction of Bioactive Components from Dill: Taguchi-MOORA Methodology

2023

Proceeding Book of 2nd International Conference on Contemporary Academic Research ICCAR 2023

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The aim of this study was to obtain an extract rich in phenolic compounds with high antioxidant activity from dill (Anethum graveolens L.). To optimize the ultrasound-assisted extraction process, a Taguchi (L9) orthogonal matrix which consists of three levels and three factors including solute: solvent ratio (A; 1:100, 3:100 and 5:100), sonication temperature (B; 30, 45, 60 °C) and sonication time (C; 5, 10, 15 min) was used. In the single response optimization based on the Taguchi method, the optimum ultrasonic extraction parameters for total phenolic content and antioxidant activity (DPPH) were determined as A1B3C3 and A1B1C1, respectively. In this study, MOORA (Multi-Objective Optimization by Ratio Analysis) was utilized to convert a two-response problem into a single response. As a result of this optimization, the solute: solvent ratio, sonication temperature, and sonication time variables were determined as 1:100, 60 °C and 15 min, respectively (Run 3), for the extract with the highest total phenolic and antioxidant content (A1B3C3). According to the results obtained, the solute: solvent ratio was found to be the parameter that most significantly affected the ultrasonic extraction process for both response variables. The Taguchi-MOORA hybrid optimization technique was successfully applied to the ultrasonic extraction of bioactive components from dill.

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Section: Experimental Design D1 Taguchi Methodsmentioning

confidence: 99%

Multi Response Optimization of Process Parameters in the Extraction of Bioactive Components from Dill: Taguchi-MOORA Methodology

2023

Proceeding Book of 2nd International Conference on Contemporary Academic Research ICCAR 2023

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“…15% of SiC with AA7075 has a peak value of mechanical and microstructural properties based on prior literature. ZrC is chosen for experimental purpose to examine the changes in properties of an existing hybrid composite AA7075 and SiC since the results have yielded remarkable and positive outcomes [19].…”

Section: Raw Materialsmentioning

confidence: 99%

“…These industries require parts having high strength along with a good thermal conductivity and thermal resistance which is achieved by the addition of SiC and ZrC. The good thermal conductivity of the manufactured composite also make it a suitable candidate for heat sinks in electronic boards [19,20]. The novelty of the present work lies in the development of novel AA7075, SiC and ZrC composite and evaluating the mechanical properties of microwave sintered composites.…”

Section: Introductionmentioning

confidence: 99%

Effect of conventional and microwave sintering on the microstructural and mechanical properties of AA7075/SiC/ZrC hybrid MMCs through powder metallurgy route

Manoj,

Krishnan,

Mugendiran

2023

Matéria (Rio J.)

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In this work, AA7075/SiC/ZrC hybrid metal matrix composite was successfully fabricated by powder metallurgy route. The influence of conventional and microwave sintering on the microstructural and mechanical properties of the composites were investigated. SEM, XRD and XRF Analysis were used to investigate the microstructure of the samples. The compression strength and hardness were determined using a Universal Testing Machine and Rockwell Hardness setup respectively. It can be concluded that the specimen which is fabricated with a reinforcement of 15% SiC and 3% ZrC with microwave sintering shows the best mechanical characteristics with hardness reaching 92HRB, a compression strength of 200 MPa and better microstructural property than the conventionally sintered specimens. This work has applications in the aerospace and automotive industries for the manufacturing of composite materials that can endure high temperatures.

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“…The factors that cause striations to appear on the sliced surface were also looked into by the researchers. Manoj M et al [9] created a statistically generated primary model to investigate the impact of jet angles on the production of high-quality cuts during the multidirectional cutting of aluminium composites using Taguchi DEAR methodology. In addition, an inventive technique for oscillating the cutting head was used to improve the overall quality of cuts during the process.…”

Section: Introductionmentioning

confidence: 99%

ANN and Machine Learning based predictions of MRR in AWSJ Machining of CFRP composites

Ramesha,

Santhosh,

Praveena

et al. 2024

Preprint

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The study assesses the efficacy of Abrasive Water Suspension Jet (AWSJ) Machining, a non-conventional technique based on erosion principles, with a specific emphasis on its use in machining carbon fiber-reinforced plastics (CFRP) composites. The analysis examines critical process variables, including Speed, Feed, and Standoff distance, to evaluate their influence on Material Removal Rate (MRR), during underwater cutting operations. The results unambiguously support the superiority of underwater cutting. Expanding the diameter of the jet in underwater cutting improves both the width of the cut and the roughness of the surface. This also helps reduce vibrations in the nozzle when operating at high pressures, resulting in a smaller cut and a smoother surface. This highlights the effectiveness of underwater cutting in generating accurate machining results. In addition, the study utilizes machine learning (ML) models such as Random Forest and XGBoost to enhance the optimization of MRR, a crucial parameter in composite machining. The results demonstrate exceptional performance across all models, with XGBoost exhibiting outstanding accuracy and efficiency on both the training and test datasets. The comparative analysis reveals the competitive performance of Random Forest XGBoost and Artificial Neural Network (ANN) in optimizing MRR. These models achieve notable accuracy scores in both training and test sets, surpassing the regular statistical methods such as the Response Surface Methodology (RSM).

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Process Optimization of Abrasive Water Jet Machining of Aluminum Hybrid Composite Using Taguchi DEAR Methodology

Cited by 8 publications

References 25 publications

Multi Response Optimization of Process Parameters in the Extraction of Bioactive Components from Dill: Taguchi-MOORA Methodology

Multi Response Optimization of Process Parameters in the Extraction of Bioactive Components from Dill: Taguchi-MOORA Methodology

Effect of conventional and microwave sintering on the microstructural and mechanical properties of AA7075/SiC/ZrC hybrid MMCs through powder metallurgy route

ANN and Machine Learning based predictions of MRR in AWSJ Machining of CFRP composites

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