Prediction of Plasma Arc Cutting Performance for SS-304 Material using Artificial Neural Network
Journal Title: International Journal of Mechanical and Production Engineering Research and Development (IJMPERD ) - Year 2019, Vol 9, Issue 5
Abstract
A number of cutting parameters are responsible for the quality of cut in plasma arc cutting (PAC) process, so the prediction of process performance is important to set the control parameters for achieving the adequate cut quality. This paper attempts to develop predictive models for Current input parameters, stand-off distance, pressure and cutting speed and their effects on output responses like material remove rate (MRR), top kerf width, bottom kerf width, straightness, and bevel angle during PAC. All the experiments were carried out on 6 mm thick SS-304 material, different output responses were measured and various artificial neural network (ANN) architecture models were developed in Easy NN software for prediction and were determined by calculating various errors and variances between actual experiments. The limiting value for all the errors over the entire data is selected as 5% and the maximum number of training cycles are limited to 1000000 for each learning set. In the present work, it is found that 4-6-5 ANN architecture is the best model structure for selected input parameters.
Authors and Affiliations
A. H. Patel, Dr A. B. Pandey
Keywords
Related Articles
- EP ID EP672228
- DOI 10.24247/ijmperdoct201948
- Views 80
- Downloads 0
Optimization of Process Parameters in Turning Operation of Austenitic Stainless Steel Rod using Taguchi Method and ANOVA
This research paper is an outcome of investigation made on the parameters those affects on austenitic stainless steel work piece roughness in the turning operation as a part of that the parameters involved in the operati...
Design and Analysis of Micro Air Vehichle with Zimmerman Planform
A Micro air vehicle of span 0.15 meter as basic prerequisite is designed with Zimmerman wing such that the structure is small enough, promised with high structural integrity and to serve its function for optical surveill...
An Optimization and Investigation of Mechanical Properties and Microstructures on Friction Stir Welding of Aluminium Alloys
Now a day for industrial applications and automotive industries, many are utilizing advanced welding technique is Friction stir welding process, offering more advantages are quality of the weld is good, consumption power...
An Ultra-Low-Power 12t Cam Cell Based on Threshold Voltage Techniques
This paper exhibits Thirteen-transistor (12T) CAM cell working in the subthreshold area. In the proposed 12T CAM cell, an appropriate read operation is given by stifling the channel actuated boundary bringing down impact...
Effect of Co2 Laser on Some Properties of NI46TI50CU4 Shape Memory Alloy
The microstructure, mechanical and corrosion properties of Nickel-Titanium-Copper shape memory alloy were studied in this paper. The Ni46-Ti50-Cu4alloy was prepared using the powder metallurgy technique, and then mixed a...