Corpus ID: 15097440

Prediction of surface roughness for end milling process using Artificial Neural Network

@inproceedings{Parmar2012PredictionOS,
  title={Prediction of surface roughness for end milling process using Artificial Neural Network},
  author={Jignesh Parmar and A. Makwana},
  year={2012}
}
  • Jignesh Parmar, A. Makwana
  • Published 2012
  • Engineering
    • In machining, surface quality is one of the most commonly specified customer requirements in which the major indication of surface quality on machined parts is surface roughness. The aim is prediction of surface roughness by using artificial neural networks. The neural network model can be effectively find the best cutting parameters value for a specific cutting condition in milling operation and achieve minimum surface roughness. In the present work an experimental investigation of the end… CONTINUE READING
    14 Citations
    Background Citations
    2
    Methods Citations
    4

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    14 Citations
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    Citation Type

    PREDICTION OF MACHINING OPERATIONS AND SURFACE ROUGHNESS USING ARTIFICIAL NEURAL NETWORK
    • 3
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    TECHNOLOGY ROUGHNESS OF A MACHINED SURFACE IN MILLING OPERATION FOR FERROUS AND NON FERROUS A FUZZY LOGIC BASED MODEL TO PREDICT SURFACE MATERIALS USING HSS END MILL CUTTING TOOL
    An Experimental Analysis of End Mill Cutter for AISI 316 using Regression.
    • 1
    A Review On optimization Of End Milling for Stainless Steel (AISI 316)
    • 1
    ANALYSIS OF TURNING PARAMETERS DURING TURNING OF AISI 1040 STEEL USING TAGUCHI METHOD
    Optimization Of Milling Process By The Effects Of Machining Parameters For High Carbon Alloy Steel
    • 2
    Multi-objective Optimization of Machining Parameters in CNC End Milling of Stainless Steel 304
    • 3
    Semi-Empirical Modelling of Surface Roughness in CNC End Milling
    • PDF
    Machining Performance Analysis in End Milling: Predicting Using ANN and a Comparative Optimisation Study of ANN/BB-BC and ANN/PSO
    • 4
    • PDF
    Trade Off Among Conflicting Multi Objectives of CNC End Milling Process for LM6 Al/SiC p
    • 3
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