A distinctive feature of the aviation technology development in recent years is the quantitative and qualitative complication of on-board equipment, which increases the problem of the cockpit thermal condition. The need to reduce sharply increased volumes of full-scale work related to the assessment and assurance of the cockpit thermal state caused an increase in the role of the cockpit systems thermophysical parameters estimation, which include air flow rates in air conditioning and ventilation systems, the characteristics of electrothermal and jet protection against fogging of the cockpit window, as well as the thickness of the insulation in the cockpit. In this work, a mathematical simulation of the thermal state of a pressurized thermally insulated compartment with honeycomb structures was proposed when solving direct and inverse problems of heat exchange. To solve the direct problem, the Galerkin method with the use of a piecewise linear basis, a second-order approximation Rosenbrock-type numerical scheme for non-autonomous systems, a combined walk-on-the-spheres method, and the Euler method were used. The inverse heat transfer problem solution is carried out by the quasi-Newton method of Broyden – Fletcher – Goldfarb – Shanno in combination with the Newton method. Confidence intervals of parametric identification estimates are determined using the covariance matrix of parameters estimate errors and quantile χ2 - probability distribution 1-α. The evaluation of required values of the air flow in the air conditioning and ventilation systems, the characteristics of the electrothermal and jet protection against fogging of the cockpit window, as well as the thickness of the insulation in the cockpit of a passenger aircraft was carried out.

1.
G. I.
Voronin
,
Air-conditioning systems onboard the aircrafts
(
Mashinostroenie
,
Moscow
,
1973
).
2.
G. N.
Dulnev
and
N. N.
Tarnovskii
,
Thermal conditions of electronics
(
Energy
,
Leningrad
,
1971
).
3.
T. P.
Meshcheriakova
,
Aircraft and helicopter protection systems design
(
Mashinostroenie
,
Moscow
,
1977
).
4.
V. N.
Nikolayev
,
S. A.
Gusev
, and
O. A.
Makhotkin
,
A series of the aircraft strength
(
SibNIA
,
Novosibirsk, Iss. 1
,
1996
), pp.
98
1081
.
5.
S. S.
Artem’ev
,
G. V.
Demidov
, and
E. A.
Novikov
,
Preprint No. 74, Computing Center of the Siberian Branch of the USSR Academy of Sciences
, (
1980
).
6.
S. A.
Gusev
and
V. N.
Nikolaev
,
Advanced Materials Research
1016
,
758
763
(
2014
).
7.
M. E.
Muller
,
The Annals of Mathematical Statistics
27
(
3
),
569
589
(
1956
).
8.
O. A.
Ladyzhenskaya
,
V. A.
Solonnikov
, and
N. N.
Ural’tseva
,
Linear and quasilinear equations of parabolic type
(
Nauka
,
Moscow
,
1967
).
9.
S. L.
Sobolev
,
Applications of Functional Analysis in Mathematical Physics
(
Nauka
,
Moskow
,
1988
).
10.
I. I.
Gikhman
and
A. V.
Skorokhod
,
Stochastic Differential Equations and their applications
(
Naukova Dumka
,
Kiev
,
1982
).
11.
H. J.
Kushner
,
Probability Methods for Approximations in Stochastic Control and for Elliptic Equations
(
Nauka
,
Moscow
,
1985
).
12.
S. A.
Gusev
,
Numerical Analysis and Applications
8
(
2
),
122
134
(
2015
).
13.
S. A.
Gusev
and
V. N.
Nikolayev
,
Heat condition compartments of aircraft with a honeycomb structure
(
Lambert
,
Saarbrucken
,
2017
).
14.
S. A.
Gusev
and
V. N.
Nikolaev
,
“Estimation of the Thermal Process in the Honeycomb Panel by a Monte Carlo Method
”, in
ATCES 2017
,
IOP Publishing
.
IOP Conf. Series: Materials Science and Engineering
,
302
, pp.
1
6
(
2017
).
15.
S. A.
Gusev
and
V. N.
Nikolaev
,
“Optimization parameters of air-conditioning and heat insulation systems of a pressurized cabins of long-distance airplanes
”, in
ATCES 2017
,
IOP Publishing
.
IOP Conf. Series: Materials Science and Engineering
302
, pp.
1
6
(
2017
).
16.
P.
Gill
and
E.
Murray
,
J. of the institute of mathematics and its applications
9
(
1
),
91
108
(
1971
).
17.
D. M.
Himmelblau
,
Applied Nonlinear Programming
(
McGraw-Hill Book Company
,
Texas
,
1972
).
18.
V. N.
Nikolaev
and
D. F.
Simbirsky
, “Confidence Intervals of Results of Parameter Identification of Heat Exchange Processes of the Airplane Onboard Equipment,” in
Research Methods and Tools of external influencing factors for the Aircraft Onboard Equipment
(
Novosibirsk
,
SibNIA Publ. Iss. 2
,
1991
), pp.
11
15
.
This content is only available via PDF.