scholarly journals Application of Innovative Methods of Predictive Control in Projects Involving Intelligent Steel Processing Production Systems

Materials ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1641
Author(s):  
Jozef Svetlík ◽  
Peter Malega ◽  
Vladimír Rudy ◽  
Ján Rusnák ◽  
Juraj Kováč
Keyword(s):  
Quality Management ◽  
Production Systems ◽  
Negative Impact ◽  
Steel Strip ◽  
Rolling Process ◽  
Production Equipment ◽  
Single Step ◽  
Steel Processing ◽  
Recorded Image ◽  
Step Defect

This paper describes the enhancement of the existing predictive system of quality management in the processes of metallurgic manufacturing. Specifically, it addresses steel-strip manufacturing. The main quality management innovation is the transition from the current methodological process of a single-step defect evaluation to a two-step evaluation. A two-step defect check of the strip’s surface involves checking for defects during the hot-rolling process first, and double-checking it during the process of pickling. These defects are detected in a well-established process of camera imaging in the production process. The recorded image is then processed mathematically to find the degree of defect correlation in those processes. The two-step evaluation enables a more detailed focus on a particular defect and its position on the strip. Decisions concerning further processing are based on defect evaluation, for instance, whether a rework is necessary to maximize the product utilization and minimize the eventual negative impact of the defect on production equipment. A crucial aspect is also the reduced probability of failures in the manufacturing process.

scholarly journals Intelligent methods for root cause analysis behind the center line deviation of the steel strip

2020 ◽  
Vol 10 (1) ◽  
pp. 386-393
Author(s):  
Henna Tiensuu ◽  
Satu Tamminen ◽  
Olli Haapala ◽  
Juha Röning
Keyword(s):  
Hot Rolling ◽  
Steel Strip ◽  
Decision Support Tool ◽  
Rolling Process ◽  
Statistical Prediction ◽  
Center Line ◽  
Quality Model ◽  
Critical Feature ◽  
Support Tool ◽  
Shape Errors

AbstractThis article presents a statistical prediction model-based intelligent decision support tool for center line deviation monitoring. Data mining methods enable the data driven manufacturing. They also help to understand the manufacturing process and to test different hypotheses. In this study, the original assumption was that the shape of the strip during the hot rolling has a strong effect on the behaviour of the steel strip in Rolling, Annealing and Pickling line (RAP). Our goal is to provide information that enables to react well in advance to strips with challenging shape. In this article, we show that the most critical shape errors arising in hot rolling process will be transferred to critical errors in RAP-line process as well. In addition, our results reveal that the most critical feature characterizes the deviation better than the currently used criterion for rework. The developed model enables the user to understand better the quality of the products, how the process works, and how the quality model predicts and performs.

scholarly journals Structural Development and Establishment of Rampt Models in Roadside, Farmland and Other Slopel and Agroforestry

2014 ◽  
Vol 18 (2) ◽  
pp. 99-107
Author(s):  
MA Hossain
Keyword(s):  
Medicinal Plants ◽  
Production Systems ◽  
Single Step ◽  
Structural Development ◽  
Herbaceous Species ◽  
University Campus ◽  
Tree Plantation ◽  
Production Technologies

The three different models of Roadside Agroforest Multistoried Production Technologies (RAMPT) have been established at Bangladesh Agricultural University Campus, Mymensingh, Bangladesh. These are RAMPT-1 : Single Step Single Slope RAMPT [(SS)2 RAMPT], RAMPT-2 : Double Steps Double Slopes RAMPT [(DS)2 RAMPT], and RAMPT-3 : Triple Steps Triple Slopes RAMPT [(TS)2 RAMPT]. The results of on-going experiments both on MPTS and herbaceous species including crops and medicinal plants under the above models have been observed to be effective and encouraging with a 100% success in tree plantation. Neem, Mehogani and Bakphul based multistoried production systems have been established with understoried shrubby and herbaceous species like Jatropha, lemon, Eryngium, sunflower, turmeric, stem amaranth, chilli, lady’s finger (okra), sweet gourd, etc. The structural development and establishment of these models have been described.DOI: http://dx.doi.org/10.3329/pa.v18i2.18165 Progress. Agric. 18(2): 99 - 107, 2007

scholarly journals Silicon Steel Strip Profile Control Technology for Six-High Cold Rolling Mill with Small Work Roll Radius

Metals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 401
Author(s):  
Hainan He ◽  
Jian Shao ◽  
Xiaochen Wang ◽  
Quan Yang ◽  
Xiawei Feng
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Steel Strip ◽  
Work Roll ◽  
Rolling Process ◽  
Silicon Steel ◽  
Cold Rolling Mill ◽  
Strip Profile ◽  
Profile Control ◽  
Small Work

Due to the requirement of magnetic properties of silicon steel sheets, producing high-precision size strips is the main aim of the cold rolling industry. The tapered work roll shifting technique of the six-high cold rolling mill is effective in reducing the difference in transverse thickness of the strip edge, but the effective area is limited, especially for a high crown strip after the hot rolling process. The six-high mill with a small work roll size can produce a strip with higher strength and lower thickness under a smaller rolling load. At the same time, the profile of the strip can be substantially improved. By advancing a well-established analytical method, a series of simulation analyses are conducted to reveal the effectiveness of a small work roll radius for the strip profile in the six-high cold rolling process. Through the analysis of flattening deformation and deflection deformation on the load, the change rule of the strip profile produced by the work roll with a small roll diameter can be obtained. Combined with theoretical analysis and industrial experiments, it can be found that the improvement effect of the small work roll radius on the profile of the silicon strip is as significant.

Nonlinear Spline Method for Buckling Analysis of Steel Strip

2010 ◽  
Vol 145 ◽  
pp. 14-19
Author(s):  
Jian Qin ◽  
Qing Dong Zhang ◽  
Jie Tao Dai
Keyword(s):  
Function Method ◽  
Spline Function ◽  
Steel Strip ◽  
Rolling Process ◽  
Buckling Analysis ◽  
Spline Method ◽  
Residual Strains ◽  
Stress States ◽  
Rigid Plane ◽  
The Waves

The paper deals with numerical considerations of buckling phenomena in steel strip during rolling and leveling of sheet metal. The self-equilibrating stress states due to residual strains caused by the rolling process are calculated by the spline function method. The developed numerical model provides an estimation of buckling critical loads and wave configuration. It is shown how the waves observed on the strip sliding over or lying on a rigid plane, so one can provide information about the distribution of the differences in the plastic strains over the width of the strip which leads to the buckled configuration. The spline function method proposed in this paper is simpler and more convenient than traditional finite element method in the buckling analysis.

scholarly journals Influence of Planting Date, Fungicide Seed Treatment, and Phorate on Peanut in North Carolina

2019 ◽  
Vol 46 (1) ◽  
pp. 14-21
Author(s):  
D.J. Mahoney ◽  
D.L. Jordan ◽  
R.L. Brandenburg ◽  
B.B. Shew ◽  
B.R. Royals ◽  
...  
Keyword(s):  
North Carolina ◽  
Seed Treatment ◽  
Production Systems ◽  
Negative Impact ◽  
Planting Date ◽  
Soil Borne Pathogens ◽  
Arachis Hypogaea L ◽  
Treated Seed ◽  
Tobacco Thrips ◽  
Negative Impacts

ABSTRACT Establishing an adequate stand of peanut (Arachis hypogaea L.) and minimizing the negative impact of tobacco thrips [Frankliniella fusca (Hinds)] is important for maximizing yield in both organic and conventional production systems. The incidence, severity, and impact of soil borne pathogens and thrips populations on peanut may be influenced by planting date, fungicide seed treatment, and/or systemic insecticide application. However, the interaction of these management techniques has not been investigated in North Carolina with Virginia market type cultivars to date. As such, research was conducted over four years in North Carolina to determine peanut stand, injury caused by tobacco thrips feeding, and pod yield as influenced by planting date (early, mid-, and late-May), fungicide seed treatment, and phorate applied in the seed furrow at planting. Peanut stand increased when planting fungicide-treated seed compared to non-treated seed, although the magnitude of this effect lessened with later May plantings. Regardless of phorate treatment, less thrips injury was noted when peanut was planted in mid- or late-May compared with early May in three of four years. Yet the addition of phorate in-furrow further reduced thrips injury at every planting date. Peanut yield increased 75% and 50% of the time when seed was treated with fungicide and phorate was applied in the seed furrow at planting, respectively. Yield was generally greater when peanut was planted in mid-May and late-May compared to planting in early May irrespective of fungicide seed treatment or phorate treatment. Peanut stand was negatively and positively correlated with observed thrips injury and peanut yield, respectively. Additionally, peanut yield was negatively correlated to thrips injury. These data suggest that conventional producers should utilize treated seed and phorate in-furrow for thrips management regardless of planting date and that organic producers should plant in late May to minimize negative impacts of thrips and soil borne pathogens.

Analysis and characterisation of ultra-fine ferrite produced during a new steel strip rolling process

1999 ◽  
Vol 40 (4) ◽  
pp. 433-438 ◽  
Author(s):  
P.J. Hurley ◽  
P.D. Hodgson ◽  
B.C. Muddle
Keyword(s):  
Steel Strip ◽  
Rolling Process ◽  
Strip Rolling

scholarly journals Modelling and Optimization of Organization of Workplaces in a Foundry

2016 ◽  
Vol 16 (3) ◽  
pp. 55-58 ◽  
Author(s):  
S. Kukla
Keyword(s):  
Production Systems ◽  
Work Organization ◽  
Production Equipment ◽  
Limiting Factors ◽  
System A ◽  
Iron Castings ◽  
The Times ◽  
Modelling And Optimization ◽  
Bulk Production ◽  
Made In

Abstract The paper presents a practical example of improvement of foundry production systems in terms of post-finishing of nodular iron castings produced in the conditions of bulk production for automotive industry. The attention was paid to high labour-intensive efforts, which are difficult to be subjected to mechanization and automation. The times of actions related to grinding processing of castings in three grinding positions connected with a belt conveyor were estimated with the use of a time study method. A bottleneck as well as limiting factors were specified in a system. A number of improvements were proposed, aimed at improving work organization on the castings post-finishing line. An analysis of work ergonomics at the workplace was made in order to eliminate unnecessary and onerous for the employee actions. A model of production system using the Arena software, on which a simulation experiment was conducted, was drawn up in order to visualize the analysed phenomena. The effects of the project were shown on graphs comparing times, costs, work ergonomics and overall efficiency of production equipment indicator.

scholarly journals Profitability of Artichoke Growing in the Mediterranean Area

HortScience ◽  
2015 ◽  
Vol 50 (9) ◽  
pp. 1349-1352 ◽  
Author(s):  
Filippo Sgroi ◽  
Mario Foderà ◽  
Anna Maria Di Trapani ◽  
Salvatore Tudisca ◽  
Riccardo Testa
Keyword(s):  
Production Systems ◽  
Specific Activity ◽  
Negative Impact ◽  
Economic Recession ◽  
Mediterranean Area ◽  
Production Costs ◽  
African Countries ◽  
Market Prices ◽  
The Mediterranean ◽  
Eventual Collapse

Cultivation of artichokes for production is significant in the Mediterranean Basin. Italy represents an important productive hub and in this context, Sicily has been one of the foremost production areas. Artichoke production is a stable element of either specialized or mixed production systems in the region. However, due to the economic recession and increasing imports of artichokes from North African countries, many companies are undergoing crisis, with concerns for the negative impact on the socioeconomic fabric, in terms of the rising unemployment an eventual collapse of this specific activity would determine. According to the theory of economic development, a prerequisite of a territory’s development is that its economic enterprises be competitive. Ensuing from this hypothesis, this article analyzes the profitability of artichoke production in the Mediterranean. The study was conducted in Sicily, an island in the heart of the Mediterranean, where its cultivation is a long-standing tradition. Our results showed a low profitability for artichoke cultivation in relation to the unfavorably high production costs, whereas the low market prices also reflect the competition from countries of North Africa.

scholarly journals Manufacturing large shafts by a novel flexible skew rolling process

2021 ◽  
Author(s):  
Longfei Lin ◽  
Baoyu Wang ◽  
Jing Zhou ◽  
Jinxia Shen
Keyword(s):  
Degrees Of Freedom ◽  
Longitudinal Section ◽  
Rolling Process ◽  
Single Step ◽  
Maximum Deviation ◽  
Center Crack ◽  
Physical Experiments ◽  
Skew Rolling ◽  
Forging Press ◽  
Forming Defects

Abstract When manufacturing large shafts with multi-specification and small-batch production, both the conventional forging and rolling process bring a high tooling cost due to heavy forging press or large-size specialized roller. In this study, a novel flexible skew rolling (FSR) process is proposed by adding degrees of freedom to the rollers as compared to the typical skew rolling process. Since each of the FSR rollers has three degrees of freedom (circle rotating, radial rotating and radial feeding), the FSR process can be divided into four stages: radial rolling, rollers inclining, skew rolling and rollers levelling. Therefore, the FSR process can produce various shafts with same rollers via programming different movements. To verify the feasibility of FSR process, a physical investigation corresponding with a numerical simulation for a single-step shaft is undertaken with a Φ80×390 mm C45 steel billet. According to the results from physical experiments and numerical simulations, the FSR formed shaft has a maximum deviation of 0.99 mm, and its microstructure and properties have been improved obviously. Moreover, although there is a tendency of center crack in FSR products as predicted by numerical results, both the transverse and longitudinal section of the physical shaft are free from central cracking. The major forming defects existed on the rolled shaft are knurled pockmarks, surface threads and side cavity, which are the typical defects of the conventional skew rolling and cross-wedge rolling and can be removed by machining. To the authors’ knowledge, this novel process has a good combination of flexible production and less loading, which will be of great engineering significance to reduce the tooling cost in large shafts manufacturing.

scholarly journals Investigation and Optimization of Load Distribution for Tandem Cold Steel Strip Rolling Process

Metals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 677 ◽  
Author(s):  
Xin Jin ◽  
Changsheng Li ◽  
Yu Wang ◽  
Xiaogang Li ◽  
Yongguang Xiang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cold Rolling ◽  
Prediction Model ◽  
Load Distribution ◽  
Rolling Mill ◽  
Fitness Function ◽  
Steel Strip ◽  
Rolling Process ◽  
Cold Rolling Mill ◽  
Tandem Cold Rolling

In order to improve the cold rolled steel strip flatness, the load distribution of the tandem cold rolling process is subject to investigation and optimization. The strip deformation resistance model is corrected by an artificial neural network that is trained with the actual measured data of 4500 strip coils. Based on the model, a flatness prediction model of strip steel is established in a five-stand tandem cold rolling mill, and the precision of the flatness prediction model is verified by rolling experiment data. To analyze the effect of load distribution on flatness, the flatness of stand 4 is calculated to be 7.4 IU, 10.6 IU, and 16.8 IU under three typical load distribution modes. A genetic algorithm based on the excellent flatness is proposed to optimize the load distribution further. In the genetic algorithm, the classification of flatness of stand 4 calculated by the developed flatness prediction model is taken as the fitness function, with the optimal reduction of 28.6%, 34.6%, 27.3%, and 18.6% proposed for stands 1, 2, 3, and 4, respectively. The optimal solution is applied to a 1740 mm tandem cold rolling mill, which reduce the flatness classification from 10.8 IU to 3.2 IU for a 1-mm thick steel strip.

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