High hardening of the steel, which is caused by martensitic transformation through cold forming, leads to significant local elastic roll deformation (flattening). The rolling strain-hardened steel requires higher forces and torques, result in high force. Roll flattening can be reduced using rolls made a material with significantly modulus elasticity. suitability ceramic materials for modern hot...

The paper describes a computer system for simulating metallurgical rolling processes that consist of multiple steps, each of which is performed by a different type of devices. Both devices and processed materials are described with models, which can be dynamically reconfigured between simulation runs to study different device and environment configurations. Such an approach is especially crucia...

Obtaining high levels of mechanical properties in steels is directly linked to the use special forming processes and addition alloying elements during their manufacture. This work presents a study hot-rolled steel strip produced achieve yield strength above 600 MPa, using niobium microalloyed HSLA with non-stoichiometric titanium (titanium/nitrogen ratio 3.42), rolled on Steckel mill. A major c...

The purpose of this work is to evaluate the performance several wear models, either with different mathematical formulation or definition unknown coefficients, on prediction work-roll amplitude in Hot Strip Mills (HSM). To achieve goal, a classical model calibration approach based inverse optimization has been developed calibrate these models. A large industrial hot rolling database composed by...

hot rolling of a large ring of titanium alloy (lrt) is a highly nonlinear incremental forming process with coupled mechanical and thermal behaviors (mtbs) which significantly affect microstructure and properties of the ring. the feed rate of idle roll and the rotational speed of driver roll have major effects on ovality of the ring. in this paper, the effects of these parameters on the ovality ...

In this paper, we propose a method to compare and visualize spectrograms in a low dimensional space using manifold learning. This approach is divided in two steps: a data processing and dimensionality reduction stage and a feature extraction and a visualization stage. The procedure is applied on different types of data from a hot rolling process, with the aim to detect chatter. Results obtained...

On line quality evaluation is an important domain particularly in the complex processes where the characteristic of the product quality is difficult to measure directly. Evaluation based modelling techniques can be considered as an alternative to solve such complex problem. We consider in this work a contribution for product quality evaluation in hot rolling using fuzzy models. Residual changes...