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

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

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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