An integrated batch annealing furnace simulator

2004 ◽  
Vol 120 ◽  
pp. 809-817
Author(s):  
S. S. Sahay
Keyword(s):  
Mechanical Properties ◽  
Control Strategy ◽  
Temporal Evolution ◽  
Furnace Productivity ◽  
Annealing Furnace ◽  
Industrial Batch ◽  
Batch Annealing ◽  
Annealing Operation ◽  
Prediction Capability

An integrated batch annealing furnace simulator with the capability of predicting spatial and temporal evolution of temperature, microstructure and mechanical properties of the coils during the batch annealing operation has been developed. The prediction capability of this integrated simulator has been extensively validated with data collected from several industrial batch annealing operations. In this article, the problems in controlling a batch annealing operation via conventional temperature based control strategy has been highlighted. These problems can be effectively resolved by using the integrated simulator. Furthermore, the utility of this simulator has been illustrated by a case study on optimization of coil dimensions for maximization of furnace productivity.

Neural Network Models for Industrial Batch Annealing Operation

2008 ◽  
Vol 23 (2) ◽  
pp. 203-208 ◽  
Author(s):  
Rajesh Mehta ◽  
Satyam S. Sahay ◽  
Amlan Datta ◽  
Aman Chodha
Keyword(s):  
Neural Network ◽  
Network Models ◽  
Neural Network Models ◽  
Industrial Batch ◽  
Batch Annealing ◽  
Annealing Operation

Model based optimisation of highly automated industrial batch annealing operation

2006 ◽  
Vol 33 (4) ◽  
pp. 306-314 ◽  
Author(s):  
S. S. Sahay ◽  
K. Krishnan ◽  
M. Kulthe ◽  
A. Chodha ◽  
B. Bhattacharya ◽  
...  
Keyword(s):  
Model Based ◽  
Industrial Batch ◽  
Batch Annealing ◽  
Annealing Operation

Process Analytics, Modeling, and Optimization of an Industrial Batch Annealing Operation

2009 ◽  
Vol 24 (12) ◽  
pp. 1459-1466 ◽  
Author(s):  
Satyam S. Sahay ◽  
R. Mehta ◽  
S. Raghavan ◽  
R. Roshan ◽  
S. J. Dey
Keyword(s):  
Modeling And Optimization ◽  
Process Analytics ◽  
Industrial Batch ◽  
Batch Annealing ◽  
Annealing Operation

scholarly journals Optimization of Low Head Axial-Flow Turbines for an Overtopping BReakwater for Energy Conversion: A Case Study

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4618
Author(s):  
Antonio Mariani ◽  
Gaetano Crispino ◽  
Pasquale Contestabile ◽  
Furio Cascetta ◽  
Corrado Gisonni ◽  
...  
Keyword(s):  
Energy Conversion ◽  
Control Strategy ◽  
Energy Production ◽  
San Antonio ◽  
Axial Flow ◽  
Complex Process ◽  
Low Head ◽  
Wave Power Conversion ◽  
And Control

Overtopping-type wave power conversion devices represent one of the most promising technology to combine reliability and competitively priced electricity supplies from waves. While satisfactory hydraulic and structural performance have been achieved, the selection of the hydraulic turbines and their regulation is a complex process due to the very low head and a variable flow rate in the overtopping breakwater set-ups. Based on the experience acquired on the first Overtopping BReakwater for Energy Conversion (OBREC) prototype, operating since 2016, an activity has been carried out to select the most appropriate turbine dimension and control strategy for such applications. An example of this multivariable approach is provided and illustrated through a case study in the San Antonio Port, along the central coast of Chile. In this site the deployment of a breakwater equipped with OBREC modules is specifically investigated. Axial-flow turbines of different runner diameter are compared, proposing the optimal ramp height and turbine control strategy for maximizing system energy production. The energy production ranges from 20.5 MWh/y for the smallest runner diameter to a maximum of 34.8 MWh/y for the largest runner diameter.

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