AN APPLICATION OF DISSIMILAR ANN ALGORITHMS TO IMPROVE THE SIMULATION PERFORMANCE OF FLANK WEAR EXTRAPOLATION IN GFRP COMPOSITE DRILLING
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2018, Vol 8, Issue 4
Abstract
In the recent past, almost all manufacturing and mechanical firms are aiming at reducing the machining cost of the mechanical components due to market competition. One of the ways to reduce the machining cost is to select the optimum machining parameters and their respective levels to get the best productivity. Therefore the research on finding the optimum selection of the machining parameters is gaining importance nowadays. In addition to this, it was observed that, by applying Artificial Intelligence (AI) techniques, the optimized machining parameters could be further fine-tuned and simulated to predict the output parameters accurately. Thus the present research paper applies the AI technique and compares different ANN algorithms to improve the prediction accuracy of the drill flank wear while machining GFRP composites. The flank wear data were generated by performing the drilling process on the GFRP composite in a CNC vertical machining centre by entering different drill machining factors and levels. Later, the neurons of the ANN are trained with drill input and output, experimental data for getting better output prediction accuracy. Following this, the simulation of the drill process parameters was done with different ANN algorithms to select the best algorithm by tuning the ANN architecture. In the next stage, the best selected ANN algorithm along with its tuned architecture is evaluated for different data randomization methods for fine – tuning the optimization. Thus obtained optimized ANN structural configuration is found to be capable of predicting the drill flank wear much efficiently and effectively under the specified work material, tool material and machining combinations and conditions.
Authors and Affiliations
SATHISH RAO. U, LEWLYN L RAJ RODRIGUES
Keywords
Related Articles
- EP ID EP430495
- DOI 10.24247/ijmperdoct201837
- Views 125
- Downloads 0
Influence of Segregation on the Rheological Behavior of Cement Grouts Determined by Coaxial Cylinder Rheometer
This work aims to study the phenomenon of segregation during the rheological characterization tests and influence of this phenomenon on the rheological behavior of cement grout. Thanks to a new methodology composing a sp...
A Study on the Food Processing Industry and its Quality Conscious Effect
ABSTRACT Industrial Youngsters must be conscious about diet and physical activity, because second level employees will be in the process of planning. Therefore, they are conscious of the diet food. The blue collar people...
The Design and Fabrication of Steering Controlled Headlights
The main aim of any design should not only be focused on ‘Customer satisfaction’ but also ‘Customer safety’. Following this, the number of accidents have been witnessed only due to ill lighting facilities provided in an...
DESIGN A POSITIONAL ERRORS CORRECTION, FOR ROBOT USING DIFFERENTIAL LOAD CELL TRANSFORMER FEED BACK ABDUL GAFFER .S .M, SATAR HABIB MNAATHR & KADIM KARIM MOHSEN
This paper describes a method for reducing the positioning errors of a robot during a given trajectory by using differential load cell transformer feedback to minimize the mean positioning error of the end-effector along...
Design of Low Power and Area Efficient Full Adder for ALU Using 90nm Process for Industrial Based CAD/CAM Manufacturing Units
The research article shows a high accuracy of full adder with less zone and power utilization. The GDI based full adder wasactualized by utilizing both entryway dispersion through input gate diffusion system and rational...