PPT-Comparison of empirical and neural network hot-rolling process models
Author : calandra-battersby | Published Date : 2018-09-21
E Oznergiz C Ozsoy I Delice and A Kural Jed Goodell September 9 th 2009 Introduction A fast reliable and accurate mathematical model is needed to predict the
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Comparison of empirical and neural netwo..." is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Comparison of empirical and neural network hot-rolling process models: Transcript
E Oznergiz C Ozsoy I Delice and A Kural Jed Goodell September 9 th 2009 Introduction A fast reliable and accurate mathematical model is needed to predict the rolling force torque and exit temperature in the rolling process . Paolo . Baldan. Marlon Dumas. Luciano . García. Abel Armas. Behavioral comparison of process. Explain the differences between a pair of process models using simple and intuitive statements. Abstract representations based on binary behavioral relations. N. S. Rebello C. M. Rebello. Kansas State University University of Missouri. . INTRODUCTION. Research by . Rimoldini. & Singh (2005) found that students. are unable to compare velocities at top and bottom of rolling wheel.. AP Physics C. Mrs. Coyle. For pure rolling motion there is “rolling without slipping”, so at point P v. p. =0.. All points instantaneously rotate about the point of contact between the object and the surface (P).. What are Artificial Neural Networks (ANN)?. ". Colored. neural network" by Glosser.ca - Own work, Derivative of File:Artificial neural . network.svg. . Licensed under CC BY-SA 3.0 via Commons - https://commons.wikimedia.org/wiki/File:Colored_neural_network.svg#/media/File:Colored_neural_network.svg. Week 5. Applications. Predict the taste of Coors beer as a function of its chemical composition. What are Artificial Neural Networks? . Artificial Intelligence (AI) Technique. Artificial . Neural Networks. Ashutosh. Pandey and . Shashank. . S. rikant. Layout of talk. Classification problem. Idea of gradient descent . Neural network architecture. Learning a function using neural network. Backpropagation algorithm. Deep and cup. drawing. Shearing. Bending. Wire and bar. drawing. Extrusion. Forging. Rolling. Overview of Metal Forming. Sheet . Metalworking. Bulk Deformation. Metal Forming. Large group of mfg processes in which . Sollac. Fos sur Mer). Dofasco #2 Hot Strip . Mill. 3. Reheat Furnaces. Rougher. Finishing Mill. Runout Table. Coilers. Slab. 216 mm. Transfer Bar. ~30 mm. Strip. 1.2-16 mm thick. 508-1600 mm wide. Advanced Hot Mills. rolling. is a metal forming process in which metal stock is passed through a pair of rolls.. Definition of Rolling : The process of plastically deforming metal by passing it between rolls.. Rolling is the most widely used forming process, which provides high production and close control of final product. . Authors: P. . Szota. and H. . Dyia. Presentation by: Daniel Kinder. September 8,2010. Create a model on the manufacturing of a bimetallic corrosion-resistant re-bar.. Correctly design the finish rolling process to assure uniform thickness in the cladding layer, and prevent breaking.. A modest outlook has been witnessed in the rolling stocks market in the past decade, in line with significant railway infrastructure investments made by national governments. Lowest whole # ratio . H. 2. O. 2. (hydrogen peroxide) is it a empirical Formula?. No, you can reduce it to HO . . H. 2. O. 2 . is the molecular formula. Molecular formula shows the way the molecule is actually found in nature.. Rule: The probability thateither of two mutually exclusiveevents will occur is equal to the sumof their independent probabilities ofoccurrenceThe probability of rolling + (1/36) A =p2Probability f Mark Hasegawa-Johnson. April 6, 2020. License: CC-BY 4.0. You may remix or redistribute if you cite the source.. Outline. Why use more than one layer?. Biological inspiration. Representational power: the XOR function.
Download Document
Here is the link to download the presentation.
"Comparison of empirical and neural network hot-rolling process models"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents