Roughing Rolling Performance Improvement and Energy Optimization by ANN- DOE Modeling
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 12
Abstract
The rolling manufacturing system performance and output results are controlled by shape and size obtained at different sequences at roughing mill. Roughing rolling mill plays key role for sound and forging quality grades. In presence of too many parameters, the output performance variations of the different grades in rolling are a serious problem. Influence of different rolling variables is known but parameter which affects the process most is important. Artificial neural network (ANN) was constructed to predict symptoms of rolling mill with signal to noise (S/N) ratio as performance characteristics obtained by DOE in a rolling plant. The developed ANN model is useful to predict the performance of the rolling mill by most influential variable only within the range of experimental values. The new model indicates the rolling process energy optimization with help of most energy intensive single parameter for hot rolling.
Authors and Affiliations
Atul Modi, D. A. Hindoliya
Keywords
Related Articles
- EP ID EP393209
- DOI 10.9790/9622-0712050110.
- Views 105
- Downloads 0
A Compact Multiband Metamaterial based Microstrip Patch Antenna for Wireless communication Applications
In this paper, a metamaterial based compact multiband microstrip antenna is proposed which can give high gain and directivity. Metamaterials are periodic structures and have been intensively investigated due to the parti...
Synthesis and Electrical Characterization of Cu2+ doped (SnO2)1- x(ZnO)x nanocomposites.
(SnO2)1-x(ZnO)x (with x values 0.0,0.2,0.4,0.5,0.6,0.8,1.0) nanocomposites doped with 1 mole percent Cu2+ was synthesized using simple microwave assisted solvothermal method with ethylene glycol as solvent. The asprepare...
Analysis of the Essential Features in the Tasks of Identification
This paper proposes a new approach to defining the essential features in the task of identification based on the use of topological methods. To extend the scope of analysis and reducing its complexity applies fuzzy repre...
Design And Analysis Of Trapezoid Ring Microstrip Patch Antenna For Lower Band 5G Application.
In 5G Technology, Lower Frequency 5G Band range from 3.4GHz to 3.6GHz (in India). Now days a lot of research is going on in the field of designing of 5G microstrip antenna. In this paper, a trapezoid ring microstrip ante...
Studying the effect of the discharge modes of DBD plasma on the treatment of wool textiles
In the present study a comparison between the influence of the atmospheric pressure glow discharge APGD mode and the filamentary discharge FD mode on the treatment of the wool textiles has been reported at different cond...