counterflow setups. As a result, a PHE can accommodate a
variety of flow arrangements, such as single, multiple
passes, series, parallel, and their various combinations [1].
Because the design process of heat exchangers is
complicated, it requires subjective choices at each design
step. Additionally, the design methodology consists of
multiple stages and relies on provisional information until
the objectives are achieved. Typically, a heat exchanger's
design encompasses these components: heat transfer to
meet the necessary performance, total expenses, the actual
geometrical dimensions, and the overall pressure drop [3].
As noted in [4], a lot of the design information related to
plate heat exchangers is kept proprietary. A step-by-step
approach for calculating the size and internal structure of
the exchanger from available process information is not
commonly found. Existing commercial software does not
allow users to access the underlying mathematical models,
and engineers typically lack familiarity with the specific
terms and configurations of these exchangers. This
reference also emphasizes that experimental findings in the
literature regarding heat transfer and pressure drop are
limited. Nonetheless, there are dimensionless correlations
available for heat transfer coefficients as well as pressure
drop within the channels of plate heat exchangers.
Recommendations for constant and exponents values in the
correlating equations are based on limited data and insights
from manufacturers. Proper sizing of a plate heat exchanger
relies on the required thermal duty and the characteristics of
the exchanger itself. Its adaptability and operational benefits
are accompanied by the challenge of creating a model for its
steady flow behavior [1].
A considerable amount of studies has been carried out so far
to investigate the characteristics of heat transfer and
pressure drop in plate heat exchangers, which are
continuously being improved and developed by scholars
and technologists [5].
Various researchers have explored and evaluated the design
of plate heat exchangers. In this regard, [3] conducted an
investigation aimed at obtaining a clearer understanding of
various plate characteristics, like Chevron angles, channel
spacing, plate heights, and type on heat transfer and pressure
drop calculations, employing PHEx
®
software as a
computational resource to assess and illustrate the impact of
each parameter through the simulation of an industrial case
study. In [6], an experimental arrangement was developed
and built to examine the influence of using nanofluids
within a plate heat exchanger. The tests involved three
distinct working fluids: tap water and nanofluids containing
1 and 0.5 wt. % Al
2
O
3
in water, during a hot cycle, with flow
rates between 100 to 450 L/h in every case. Additionally,
[1] conducted a performance assessment supported by the
principles of the first and second laws of thermodynamics
for various operational arrangements of viable gasketed-
plate heat exchangers. To ensure this, 40 simulations were
performed utilizing the distributed-U differential model
reported by various researchers, applying an adaptive
damped secant shooting technique. The effectiveness of
heat and exergy transfer, dimensionless entropy generation,
potential entropic losses, and energy efficiency indices were
computed when both fluids were either above or below
ambient temperature, as well as when at least one fluid
crossed the room temperature threshold.
In [7], the efficiency of a transformed corrugated plate heat
exchanger was analyzed numerically through ANSYS-
Fluent 20R1. A pressure-based transient model was
implemented for the analysis. The k-ω SST turbulence
model was utilized for this study. A nanofluid composed of
water mixed with metallic oxide nanoparticles (Al
2
O
3
) was
employed to improve thermal conductivity, and a broad
range of Reynolds numbers ranging from 1,000 to 12,000
was considered. In another investigation [8], the researchers
aimed to enhance the heat transfer efficiency between plates
and minimize the pressure loss during fluid movement
within the system. The numerical simulations conducted
enabled the assessment of thermal flow within the heat
exchanger, as well as the pressure drop and overall
performance while altering the flow speeds and the spacing
of the plates. Other authors [9] explored various methods to
increase the thermal efficiency of plate heat exchangers
utilized in processing vegetable oils by conducting multiple
calculations. This research initiated from a baseline scenario
where vegetable oils were cooled by water within plate heat
exchangers, all featuring a Chevron angle of 30º along with
varying channel numbers and plate surface areas. Similarly,
in [10], the numerical study examined convective heat
transfer, energy efficiency, and pressure drop of γ-
Al
2
O
3
/water nanofluid in a gasketed plate heat exchanger
across a varied concentration range of particles (0% to 6%),
while the thermo-physical characteristics of γ-Al
2
O
3
/water
nanofluid were obtained from established empirical
relationships.
Similarly, [5] carried out the initial design of gasketed plate
heat exchangers for single-phase flow using MATLAB as a
computational platform. Subsequently, a software
application was created for performing thermal and
hydraulic calculations of gasketed plate heat exchangers,
relying on established correlations found in existing
research. The developed design program was then evaluated
for precision and dependability compared to several
approved designs of gasketed plate heat exchangers. In [4],
a straightforward design approach for plate heat exchangers
was introduced, which emphasized the use of uniform plates
while neglecting various factors such as heat conduction
along the plates and in flow passages, along with fluid
properties that change with temperature. In [11], a design
optimization for multi-pass plate-and-frame heat
exchangers utilizing a mixed arrangement of plates was
explored, where the approach was structured as a
mathematical problem to determine the minimum value of
an implicit nonlinear discrete/continuous objective function
constrained by inequalities. The optimizing parameters
assessed in this research included the number of passes for