Ravindra V. Savangouder - researchr alias

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Viewing Publication 1 - 8 from 8

2024

A Machine Learning Technique for Prediction of Cold Spray Additive Manufacturing Input Process Parameters to Achieve a Desired Spray Deposit ProfileRavindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy. tii, 20(10):12275-12283, October 2024. [doi]

2021

GA-MLP-based Inverse Modeling Technique for Prediction of Process Parameters and Cost OptimizationRavindra V. Savangouder, Jagdish C. Patra. SMC 2021: 510-515 [doi]

A Hybrid PSO-MLP-based Inverse Modeling of Manufacturing Process: Case Study with ADI ProcessRavindra V. Savangouder, Jagdish C. Patra. SMC 2021: 3206-3211 [doi]

Hybrid MLP-PSO-based Technique to Predict Process Parameters and Alloying Compositions in ADI for Sustainable ManufacturingRavindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy. cec 2021: 549-555 [doi]

Inverse Modeling of ADI for Prediction of Process Parameters Using PSO-MLP TechniqueRavindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy. ijcnn 2021: 1-8 [doi]

Hybrid DE-MLP-Based Modeling Technique for Prediction of Alloying Element Proportions and Process ParametersRavindra V. Savangouder, Jagdish C. Patra, Suresh Palanisamy. iconip 2021: 574-584 [doi]

2019

Artificial Neural Network-Based Modeling for Prediction of Hardness of Austempered Ductile IronRavindra V. Savangouder, Jagdish C. Patra, Cédric Bornand. iconip 2019: 405-413 [doi]

Prediction of Hardness of Austempered Ductile Iron Using Enhanced Multilayer Perceptron Based on Chebyshev ExpansionRavindra V. Savangouder, Jagdish C. Patra, Cédric Bornand. iconip 2019: 414-422 [doi]

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