Esfahan, Iran

Mobarakeh Steel Company

www.mobarakeh-steel.ir
Esfahan, Iran

Mobarakeh Steel Company is an Iranian steel company, located 65 km south west of Esfahan, near the city of Mobarakeh, Esfahan Province, Iran. It is the largest steel maker of MENA region, and one of the largest industrial complexes operating in Iran. It was commissioned after the Iranian Revolution in 1979 and initiated operations during 1993. It underwent major revamping during year 2000, and is scheduled for a second and third revamping in 2009–2010, bringing the total steel output to 7,200,000 metric tons per year. The company owns the successful football club, Sepahan. Wikipedia.

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News Article | November 3, 2016
Site: www.newsmaker.com.au

Sales, means the sales volume of Sponge Iron  Revenue, means the sales value of Sponge Iron This report studies sales (consumption) of Sponge Iron in Global market, especially in United States, China, Europe, Japan, focuses on top players in these regions/countries, with sales, price, revenue and market share for each player in these regions, covering  Mobarakeh Steel Company  Tata Sponge  Welspun group  Electrotherm India Limited  Jindal Steel & Power Ltd  Nalwa  Umesh Modi Group  Prakash Industries Limited  Sajjan  Al Nasser Industrial Enterprises LLC  MSP  Sarda Energy & Minerals Limited  Qatar Steel  Gallantt  Delta  SPS Group  NMDC  United Raw Materials  Arfa  ArcelorMittal  KhorasanSteel  Jilin Shasonggang  Market Segment by Regions, this report splits Global into several key Regions, with sales (consumption), revenue, market share and growth rate of Sponge Iron in these regions, from 2011 to 2021 (forecast), like  United States  China  Europe  Japan  Split by product Types, with sales, revenue, price and gross margin, market share and growth rate of each type, can be divided into  Type I  Type II  Type III  Split by applications, this report focuses on sales, market share and growth rate of Sponge Iron in each application, can be divided into  Application 1  Application 2  Application 3 Global Sponge Iron Sales Market Report 2016  1 Sponge Iron Overview  1.1 Product Overview and Scope of Sponge Iron  1.2 Classification of Sponge Iron  1.2.1 Type I  1.2.2 Type II  1.2.3 Type III  1.3 Application of Sponge Iron  1.3.1 Application 1  1.3.2 Application 2  1.3.3 Application 3  1.4 Sponge Iron Market by Regions  1.4.1 United States Status and Prospect (2011-2021)  1.4.2 China Status and Prospect (2011-2021)  1.4.3 Europe Status and Prospect (2011-2021)  1.4.4 Japan Status and Prospect (2011-2021)  1.5 Global Market Size (Value and Volume) of Sponge Iron (2011-2021)  1.5.1 Global Sponge Iron Sales and Growth Rate (2011-2021)  1.5.2 Global Sponge Iron Revenue and Growth Rate (2011-2021) 2 Global Sponge Iron Competition by Manufacturers, Type and Application  2.1 Global Sponge Iron Market Competition by Manufacturers  2.1.1 Global Sponge Iron Sales and Market Share of Key Manufacturers (2011-2016)  2.1.2 Global Sponge Iron Revenue and Share by Manufacturers (2011-2016)  2.2 Global Sponge Iron (Volume and Value) by Type  2.2.1 Global Sponge Iron Sales and Market Share by Type (2011-2016)  2.2.2 Global Sponge Iron Revenue and Market Share by Type (2011-2016)  2.3 Global Sponge Iron (Volume and Value) by Regions  2.3.1 Global Sponge Iron Sales and Market Share by Regions (2011-2016)  2.3.2 Global Sponge Iron Revenue and Market Share by Regions (2011-2016)  2.4 Global Sponge Iron (Volume) by Application GET EXCLUSIVE DISCOUNT ON THIS REPORT @ https://www.wiseguyreports.com/check-discount/721677-global-sponge-iron-sales-market-report-2016 Figure Picture of Sponge Iron  Table Classification of Sponge Iron  Figure Global Sales Market Share of Sponge Iron by Type in 2015  Figure Type I Picture  Figure Type II Picture  Table Applications of Sponge Iron  Figure Global Sales Market Share of Sponge Iron by Application in 2015  Figure Application 1 Examples  Figure Application 2 Examples  Figure United States Sponge Iron Revenue and Growth Rate (2011-2021)  Figure China Sponge Iron Revenue and Growth Rate (2011-2021)  Figure Europe Sponge Iron Revenue and Growth Rate (2011-2021)  Figure Japan Sponge Iron Revenue and Growth Rate (2011-2021)  Figure Global Sponge Iron Sales and Growth Rate (2011-2021)  Figure Global Sponge Iron Revenue and Growth Rate (2011-2021)  Table Global Sponge Iron Sales of Key Manufacturers (2011-2016)  Table Global Sponge Iron Sales Share by Manufacturers (2011-2016)  Figure 2015 Sponge Iron Sales Share by Manufacturers  Figure 2016 Sponge Iron Sales Share by Manufacturers  Table Global Sponge Iron Revenue by Manufacturers (2011-2016)  Table Global Sponge Iron Revenue Share by Manufacturers (2011-2016)  Table 2015 Global Sponge Iron Revenue Share by Manufacturers  Table 2016 Global Sponge Iron Revenue Share by Manufacturers  Table Global Sponge Iron Sales and Market Share by Type (2011-2016)  Table Global Sponge Iron Sales Share by Type (2011-2016)  Figure Sales Market Share of Sponge Iron by Type (2011-2016)  Figure Global Sponge Iron Sales Growth Rate by Type (2011-2016)  Table Global Sponge Iron Revenue and Market Share by Type (2011-2016)  Table Global Sponge Iron Revenue Share by Type (2011-2016)  Figure Revenue Market Share of Sponge Iron by Type (2011-2016)  Figure Global Sponge Iron Revenue Growth Rate by Type (2011-2016)  Table Global Sponge Iron Sales and Market Share by Regions (2011-2016) FOR ANY QUERY, REACH US @ https://www.wiseguyreports.com/enquiry/721677-global-sponge-iron-sales-market-report-2016


Gholami Fesharaki M.,Tarbiat Modares University | Kazemnejad A.,Tarbiat Modares University | Zayeri F.,Shahid Beheshti University of Medical Sciences | Rowzati M.,Mobarakeh Steel Company | Akbari H.,Baqiyatallah Medical Sciences University
Journal of Military Medicine | Year: 2012

Aims: Obesity (OB) is one of the health problems that may lead other diseases. Many risk factors make OB that one of them is working on Shift Work (SW). In the present research, we are going to study the relationship between SW and OB by controlling confounding factor and with use of multilevel modeling, the powerful method for modeling correlated and longitudinal data. Methods: The data were extracted is annual observation from workers who worked at Isfahan's Mobarakeh Steel Factory (ISCF) that collected in health and safety executive between 2001 until 2010 for longitudinal study. In this research we study the effect of SW on OB with controlling blood pressure, age, and education level. MLwiN programmer version 2.1 was used to apply a multilevel modeling. Results: Total person who participate in this study was 6713 with 7 repetitions and range 10. The 45.2%, 6%, 48.8% of participation were day worker, weekly shift worker and routine shift worker respectively .In this study with controlling confounding factor WSW was shown significance relationship with OB (p=0.005) and more result shown decreasing BMI in routine shift worker rather than day worker. Conclusion: Since in most studies SW Mentioned as increasing factor for OB it can be something of a pattern in how the work schedule, pay and bonuses as a suitable model of ISCF can be used to reduce the effect on OB on SW.


Gholami Fesharaki M.,Tarbiat Modares University | Kazemnejad A.,Tarbiat Modares University | Zayeri F.,Shahid Beheshti University of Medical Sciences | Rowzati M.,Mobarakeh Steel Company | Akbari H.,Baqiyatallah Medical Sciences University
Occupational Medicine | Year: 2014

Background: It has been suggested that shift work (SW) is associated with changes in blood pressure (BP). However, studies have reported contradictory results. Aims: To prospectively examine the association between SW and BP among male workers. Methods: A historical cohort study, involving workers of Esfahan's Mobarakeh Steel Company, in Iran, was conducted over 14 years. The association between SW, systolic BP (SBP) and diastolic BP (DBP) was investigated after adjusting for body mass index, age, work experience, marriage, smoking and education based on the Bayesian multilevel modelling approach. Results: The study sample included 5331 male workers. The mean age (standard deviation, SD) was 34.8 (6.6) years and mean work (SD) experience was 9.4 (6.1) years. Among these subjects, 2348 (44%), 340 (6%) and 2643 (50%) were day workers, weekly rotating shift workers and routinely rotating shift workers, respectively. The mean SBP (SD) and DBP (SD) of these workers were 118.7 (8.1) and 73.1 (6.7) mmHg, respectively. After controlling for several confounding variables, there was no significant relationship between SBP and DBP and SW. Conclusions: No significant association between SW and BP was observed among these three groups (day workers, weekly rotating shift workers and routinely rotating shift workers). Prospective studies, which control for confounding factors, such as the healthy worker effect, occupational history, family history and psychological factors (e.g. occupational stress and job satisfaction), are required to evaluate this further. © The Author 2014. Published by Oxford University Press on behalf of the Society of Occupational Medicine. All rights reserved.


Samet H.,Shiraz University | Farhadi M.R.,Shiraz University | Banaeian Mofrad M.R.,Mobarakeh Steel Company
2012 IEEE International Energy Conference and Exhibition, ENERGYCON 2012 | Year: 2012

The time varying nature of electric arc furnace (EAF) gives rise to voltage fluctuations which produce the effect known as flicker. The ability of static VAr compensator (SVC) is limited by delays in reactive power measurements and thyristor ignition. In order to improve the SVC performance, this paper presents a technique for prediction of EAF reactive power for a half cycle ahead. This technique is based on Artificial Neural Networks (ANNs). The procedure uses huge field data, collected from eight arc furnaces in Mobarakeh Steel Industry in Iran. About 90% of the recorded data are used for training the ANN and the rest are used in the test procedure. The performance of the compensator under the case of employing the predicted fundamental reactive power of EAF is compared with that for conventional method by using four indices which are defined based on concepts of flicker frequencies and power spectral density. © 2012 IEEE.


Anvari F.,Mobarakeh Steel Company | Edwards R.,University of Manchester
Journal of Quality in Maintenance Engineering | Year: 2011

Purpose - The main purpose of the research is to develop a comprehensive model for measuring overall equipment effectiveness in the capital-intensive industry such as steel, oil and chemical companies so as to meet their essential requirements. Design/methodology/approach - Market time is used as a representation of all the losses, which affect incurred equipment effectiveness. Based on a comprehensive scheme for loss analysis within market time, the concept of Integrated Equipment Effectiveness (IEE) is developed. Multiple case studies including three different cases within one large Asian steel making company were developed to assess the proposed model. Findings - The case study reveals the importance of the new scheme for loss analysis in the capital-intensive industry. IEE provides a whole perspective on effectiveness based on loading, capital and market features. Practical implications - IEE monitors manufacturing process to utilise equipment effectively as much as possible and also measures the equipment effectiveness for full process cycle in order to respond to the market. It provides a sound perspective on improvement to the capital-intensive industry. Originality/value - The paper provides information on a new model to more accurate estimation of equipment effectiveness in the capital-intensive industry. It helps to optimise resource allocation and make better strategic decisions. The model may be applied as a benchmark to achieve world-class standard. © 2011 Emerald Group Publishing Limited. All rights reserved.


Poursina M.,University of Isfahan | Dehkordi N.T.,Isfahan University of Technology | Fattahi A.,Islamic Azad University | Mirmohammadi H.,Mobarakeh Steel Company
Simulation Modelling Practice and Theory | Year: 2012

It is well known that tandem cold rolling is one of the most widely used processes in the manufacture of various sheet products with high accuracy and production rate. This paper deals with an optimization problem for tandem cold rolling. A genetic algorithm is developed to optimize the reduction schedules from the power consumption and damage evolution points of view. Damage-coupled finite element simulations are employed to determine the damage objective function. The dominant parameters of the rolling process are calculated using an experimental-analytical model, obtained from an industrial tandem rolling mill. Generally, in rolling process damage and power have conflicting natures and none of them can be improved without degrading the other. In this paper, in the first step, power and damage are optimized independently and some reduction schedules are introduced to minimize power consumption or damage evolution during the process and the results are compared with the experimental observations. Afterwards power and damage are optimized simultaneously by defining a multi-objective function and employing the Pareto optimality; a set of optimized reduction schedules are provided to optimize the power and damage based on the preference ordering of the decision makers in tandem mill. This multi-objective optimization enables the mill operators to select the most appropriate optimized schedule according to the mill necessities. Finally the optimal schedules are numerically simulated to investigate the efficiency of the damage optimized schedule. © 2011 Elsevier B.V. All rights reserved.


Niroomand M.R.,Isfahan University of Technology | Forouzan M.R.,Isfahan University of Technology | Salimi M.,Isfahan University of Technology | Shojaei H.,Mobarakeh Steel Company
ISIJ International | Year: 2012

Chatter is the most important limitation in high speed rolling of thin strips in modern industrial cold rolling mills. To study chatter in rolling, it is necessary to set up models for the rolling process as well as the mill stand. Existing models of the rolling process are analytic and are based on many simplifying assumptions. In current work Arbitrary Lagrangian Eulerian (ALE) finite element method is utilized for the first time to model the chatter vibrations in rolling, which relaxes many of these assumptions. The model has the benefit of mass translation to computational region by using ALE technique, which tremendously reduces huge computational requirements of the common Lagrangian models. The presented model is updated for simulating the chatter mechanism by means of some online velocity sensors and signal filtering method in applying the ALE boundary conditions. Results of the finite element model were compared with the experimental measurements obtained from a full scale industrial mill. Two main chattering characteristics, i.e., the critical rolling speed and the chatter frequency, obtained from the simulation program were found to be in good agreement with that of the experimental measurements. © 2012 ISIJ.


Bozorgtabar M.,Islamic Azad University at Majlesi | Rahimipour M.,Iranian Materials and Energy Research Center | Salehi M.,Isfahan University of Technology | Jafarpour M.,Mobarakeh Steel Company
Surface and Coatings Technology | Year: 2011

Titanium dioxide coatings were deposited by utilizing an atmospheric plasma spraying (APS) system, at different spray parameters like argon flow rate and arc current. The structure and crystallite size of the as-sprayed TiO2 coatings were characterized by X-ray diffraction (XRD) and Transmission electron microscopy (TEM). The photo-catalytic efficiency was determined in an environmental test chamber and evaluated from the conversion rate of ethanol. The as-sprayed TiO2 coatings were photo-catalytically reactive for the degradation of ethanol and the photo-catalytic activity was influenced by spray conditions. © 2011 Elsevier B.V.


Monajati H.,Islamic Azad University at Najafabad | Asefi D.,Islamic Azad University at Najafabad | Parsapour A.,University of Isfahan | Abbasi S.,Mobarakeh Steel Company
Computational Materials Science | Year: 2010

In the present study, an artificial neural network (ANN) is used to describe the effects of processing parameters on the evolution of mechanical properties and formability of deep drawing quality (DDQ) steel sheets. This model is a feed forward back-propagation neural network (BPNN) with a set of 19 parameters including chemical composition, hot and cold rolling parameters, and subsequent batch annealing process parameters to predict the final properties, including yield strength (YS), work hardening exponent (n), and plastic strain ratio (r̄), of sheets. ANN system was trained using the prepared training set. After training process, the test data were used to check system accuracy. The results show that the model can be used as a quantitative guide to control the final formability properties of commercial low carbon steel products. © 2010 Elsevier B.V. All rights reserved.


Poursina M.,University of Isfahan | Rahmatipour M.,University of Isfahan | Mirmohamadi H.,Mobarakeh Steel Company
International Journal of Advanced Manufacturing Technology | Year: 2015

A new method for prediction of forward slip in the tandem cold rolling mill without the velocity meter sensors based on rolling geometry is proposed here. According to this proposed method, an algorithm is developed for online estimation of friction coefficient and strip’s behavior. Online exertion of friction coefficient and strip’s behavior in the rolling’s program results in better control. So, the unsaturated actuators are satisfied and the possibility of strip tearing is decreased. The strip’s material is st12. The material is considered elastic-plastic, homogenous, and it follows the Ludwick’s constitutive equation law. The yield stress of strip and Young modulus are determined by simple tension test on a specimen of strip before rolling. For validation of the developed scheme, two operating samples are considered and the results are compared with the available literature. © 2015, Springer-Verlag London.

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