multi-objective optimisation of inverse heat conduction problem using evolutionary...
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7/27/2019 Multi-objective Optimisation of Inverse Heat Conduction Problem Using Evolutionary Algorithms(Abstract)
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MULTI-OBJECTIVE OPTIMISATION OF INVERSE HEAT
CONDUCTION PROBLEM USING EVOLUTIONARY ALGORITHMS
T.Venkata Seshaiah Naidu 1,a, S. Deva Prasad1 and V. Pandurangadu 2
1 Department of Mechanical Engineering, Vardhaman College of Engineering, Shamshabad,
Hyderabad, A.P.
2Department of Mechanical Engineering, JNTUA College of Engineering, Anantapur, A.P.
(a Corresponding author, e-mail: [email protected])
Inverse heat conduction problem (IHCP) arises in the modeling and control of processes with
heat propagation in thermophysics and mechanics of continuous media. Many manufacturing
processes and tribological applications involve relative sliding of two bodies with thermal
energy generated at the contact region due to either plastic deformation or friction, e.g. heat
generated in machining due to plastic deformation in the primary shear zone or sliding of the
chip past the tool face resulting in frictional heat at the interface. The sliding system (e.g.
washer on disk, pin on disk) is approximated initially to an infinitely long band heat source
with uniform distribution of heat intensity. Modeling, analysis and prediction of this
phenomenon is particularly challenging.
The IHCP analysis method provides an efficient approach for estimating the thermo
physical properties of materials, the boundary conditions, or the initial conditions. A direct
integral method using hyperbolic regularization to solve the IHCP is derived and investigated
(D.A. Murio, C.C. Roth. 1998) after weber, who replaced the heat conduction equation with
an approximately hyperbolic one, obtaining a formally well-posed problem.. Analyticalsolutions were developed for the temperature rise distribution for the classical case of a
tribological sliding system due to frictional heat source at the interface (Komanduri and Hou
2001).
This work investigates the case of IHCP, multi-objective case, through the application
of evolutionary algorithms in finding the heat transfer coefficient, h, and heat flux, q, values
for the classical tribological sliding system at the interface due to frictional resistance offered.
Results obtained from three different approaches are compared and evaluated. The validity of
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7/27/2019 Multi-objective Optimisation of Inverse Heat Conduction Problem Using Evolutionary Algorithms(Abstract)
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the results is compared with reference to the experimental results presented in literature (Lin,
Chou, and Yang. 1996.
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