Papers by Keyword: Steel Rolling

Abstract: It has been shown the efficiency of use of high-temperature greases “Natol-H-1(2)” in steel rolling in the result of research of friction coefficients (steel-to-steel) for various rolling pressures on application of greases “Natol”. Medium-temperature putted greases Natol-M-1(2) and pumpable consistent greases “Natol-Р-1(2, 3)” are not suitable for steel rolling. The influence of various components and their percentages in greases on magnitude of friction coefficients was found.

Abstract: The central issue of finishing train is that we should distribute the thickness of each exit with reason and determine the rolling force and relative convexity. The optimization methods currently used are empirical distribution method and the load curve method, but they both have drawbacks. To solve those problems we established a mathematical model of the finishing train and introduced an improved Genetic Algorithm. In this algorithm we used real number encoding, selection operator of a roulette and elitist selection and then improved crossover and mutation operators. The results show that the model and algorithm is feasible and could ensure the optimal effect and convergence speed. The products meet the production requirements.

Abstract: The iron and steel industry annually consumes about 10% of electricity in China, while the utilization efficiency is relatively low. A two-step energy-saving method for steel enterprise is proposed in this paper. The production plan is regulated to minimize the energy utilized in steel rolling. The electrical load is forecasted according to the optimized steel-rolling plan and the reactive power is compensated to minimize the active power loss and voltage fluctuation. Practical application in Jigang Group Co., Ltd shows the efficiency of the proposed method.

Abstract: Based on the analysis of the rolling process in iron and steel enterprises, an optimal load distribution model is established for rolling mills. The objective function is to minimize the total energy consumption. The equipment and process constraints are considered. The particle swarm optimization (PSO) is employed to get the optimal rolling reductions. The simulation of a six-frame strip demonstrates the feasibility of the proposed method in Jinan Iron & Steel Group. The experimental result shows that the proposed method is efficiency in the optimal load distribution problems.

Abstract: Hot steel rolling is amongst the most important industrial techniques because of huge amount of consumed resources, immense environmental impact, and the significance and enormous quantity of long products. Criteria for improving rolling operations include process efficiency, resource consumption, system reliability, product quality and ergo-ecological sustainability. There is an increasing availability of information within and beyond the domain of forming by rolling. With advances in computerised information processing, it becomes apparent that further progress is to be sought in intelligently combining the strategies and theories developed in differing disciplines. The key to optimising rolling systems is to be found in hybrid models. This approach calls for utilising cross-disciplinary knowledge, including a selection amongst methods such as stochastic, fuzzy and genetic modelling, process control and optimisation as well as supply chain and maintenance management. Evidence obtained by experiments using small-scale chemo-physical modelling encourages the use laboratory rolling for preliminary validations. Research strategy is conceptualised on the basis of a knowledge-based hybrid model. The sample space for this model is constituted by the rolling passes translated into the form of vectors. An example of a rolling pass translation into the vector form is presented.