The document analyzes Fin-X technology, which uses fins inspired by jet engine design to more efficiently transfer heat in cookware. It describes how fins draw on heat that would otherwise escape conventional pans and distribute it more evenly. Thermal analysis in ANSYS of standard and finned vessel models shows the finned vessel achieves 15% greater efficiency by transferring heat to its contents 15% faster than the standard vessel using the same input heat. The technology has potential to save household fuel or develop efficient cooking vessels for countries with energy scarcity issues.

1. 1 | P a g e F i n - X T e c h n o l o g y
DESIGN AND ANLYSIS
ON
FIN-X TECHNOLOGY
A report submitted in partial fulfillment of the requirements for the award of
B. Tech degree in Mechanical Engineering
By
K.S.S Tulasi Ram Nitish Sharma
(Mechanical Engineer) (Mechanical Engineer)

2. 2 | P a g e F i n - X T e c h n o l o g y
Introduction
The Fin-X Technology Flared cookware is based on Jet engine cooling
technology.
When the University of Oxford's Dr. Thomas Povey was on a mountaineering
trip several years ago, he became acutely aware of how much fuel was required
to boil water using his conventional cookware. This inspired the professor of
engineering to develop a new type of cooking pan, that would make better use
of available heat. The result is the "finned" Flare Pan, which requires 40 percent
less heat than a regular pan to get just as hot.
When Povey and colleagues tested traditional pans on a gas range, they noticed
that much of the heat from the flame simply went up the sides of the vessel and
into the air.
Drawing on technology developed to dissipate heat in jet engines, the fins built
into the sides of the Flare Pan served to absorb much of that previously-wasted
heat. Known as FIN-X technology, the design also distributed that heat more
evenly. As a result, not only is less energy required, but items can also be
cooked faster using the same heat output.
The rate of heat transfer from the surface to the surroundings by convection is
given by the Newton’s law as 𝑸 = 𝒉. 𝑨s dT , where dT is the temperature
difference between the surface and surroundings, As is the surface area exposed
to the environment and h is the convective heat transfer coefficient.

3. 3 | P a g e F i n - X T e c h n o l o g y
When it is desirable to enhance this rate of heat transfer as in
cooling of IC Engine cylinders or compressor cylinders or from an electronic
circuit board or from car radiator, etc., it is possible in only two ways. The
temperature of the surroundings is fixed and the rate increases desirable and
hence we are left with two options, either increasing the surface area or
increasing the convective heat transfer coefficient. Convective heat transfer
coefficient is a complex one and is a function of surrounding fluid properties
and flow properties. And increasing ‘h’ is a cumbersome process and may not
be practical. Hence to increase the heat transfer from the surface the best thing
to do is to increase the surface area exposed to the surroundings. This is done by
attaching additional surface to the original surface and such extended surfaces
are generally called as Fins.
There are several forms of fins and the most common types are
straight fins, triangular fins, circumferential fins, pin fins, longitudinal fins, etc.
Common applications of fins are with IC Engines, air compressors,
automobiles, electrical transformers, refrigerator, and A/c equipment,
economizer, etc. These surfaces are manufactured by extruding, welding or
wrapping, a thin metal sheet on a surface. In the case of car radiator evaporator
condenser of a window A/c box closely packed thin metal sheets attached to the
tubes increase the surface area and thus increasing the convection many times.
The fins are classified as uniform and non-uniform cross-section area fins.
Analysis of uniform area fins is relatively easy.

4. 4 | P a g e F i n - X T e c h n o l o g y
Fin-X Technology
Cooking at home is great, and certainly a lot healthier (for your body and
your pocket) than eating out. Unfortunately, cooking takes up energy, and if you
do not have solar panels on your roof-top, this could mean quite a high electric
bill. The new cooking pot called Flare, has a brand new design specifically
developed to reach the desired temperature much faster, or to be more precise
40% faster than any conventional saucepan, maintains the temperature for much
longer, and consequently, cuts down energy use by nearly 30%. This is
achieved thanks to the use of aluminium in the making of the FIN-X
technology, and the slightly unconventional shape, with high-performance
‘fins’, which distribute the heat in a much more effective manner.
What is Flare with FIN-X technology?
Designed to cook 40% faster than typical kitchen pans on gas with FIN-X
technology; saving time and energy whilst producing exceptional results.

5. 5 | P a g e F i n - X T e c h n o l o g y
How does the Fin-X Cookware cook faster?
 Radial fins allow flames to 'lock' onto position at the base and side of the
pan, keeping the flame even.
 As a result heat is evenly distributed and channelled across the base and up
the sides of the pan.
 FIN-X creates greater thermal conduction throughout the pan. As a result,
cooking performance and quality are improved.

6. 6 | P a g e F i n - X T e c h n o l o g y
How does it compare with regular cookware?
Developed in association with the University of Oxford, thermo-graphic testing
proves that FIN-X radial fins encourage flames to 'lock-on', controlling and
pushing heat evenly up the walls of the pan and increasing performance and
inefficiency in comparison to a standard pan. This allows for better heat
conduction, quicker, which means less energy is used. The patented design
eradicates uneven heating of food when cooking on gas.

7. 7 | P a g e F i n - X T e c h n o l o g y
DESIGN:
Design was prepared in Designing Software named Solid works with real time
dimensions. In general the Indian pressure cookers are designed especially for
small burners. Keeping in mind we have designed the radius of finned cookware
and taking the formula of volume of cylinder, the volume was calculated. The
volume of pressure cooker is approximately 10 litres. The dimensions were
12cm base radius, height 24cms and bottom fillet was of 3cm radius with taper
angle of 100o. These were the dimensions for the standard vessel as shown
below. We had also designed the vessel with fins of 1cm thickness. These were
the models designed for this project. For comfort analysis we assemble a solid
body to fill as fluid (water) in the vessel

8. 8 | P a g e F i n - X T e c h n o l o g y
ANALYSIS:
Analysis was carried out in ANSYS.
Analysis of these model prepared in solid works was done in ANSYS software
as steady state thermal analysis. In this process of analysis there were several
steps involved. First a stead state analysis was taken to do the analysis on the
model. Aluminium alloy is applied to the body of the vessel and the assemble
part is applied with fluid as water. The base of the model was given with 9000c
temperature to heat as shown below.
To transfer the heat convection should apply on the body. 22 w/m2 0c the
convection to the model and due to this the heat will transfer though the model
where in contact molecules.

9. 9 | P a g e F i n - X T e c h n o l o g y
Probes:
Probes are used to know the value or result after the solution and take the
readings. For this model probes were taken to know the temperature and heat
flux. They were taken at top of the vessel with part acts as fluid to find how
much the fluid got and to compare standard and finned vessel.

10. 10 | P a g e F i n - X T e c h n o l o g y
Observation:
Temperature and heat flux was applied on the surface the fluid
and the temperature distribution can be identified from the below images.
The temperature applied was 900°C to both standard and
Finned Cookware.
If we compare the below two images, we can observe that the
cookware which does not have fins (which is a standard cookware) shows less
heat transfer.
Whereas the cookware which has fins (which is flared fin-x
model) shows more heat transfer in the same time with same temperature.

11. 11 | P a g e F i n - X T e c h n o l o g y
Standard vessel
Model (B4) > Geometry > Parts
Object Name Flared Fin X Model fluid
State Meshed
Graphics Properties
Visible Yes
Transparency 1 0.1
Definition
Suppressed No
Stiffness Behavior Flexible
Coordinate System Default Coordinate System
Reference Temperature By Environment
Material
Assignment Aluminum Alloy Water Liquid
Nonlinear Effects Yes
Thermal Strain Effects Yes
Bounding Box
Length X 0.35553 m 0.31272 m
Length Y 0.24899 m 0.23872 m
Length Z 0.53776 m 0.31272 m
Properties
Volume 2.8963e-003 m³ 1.3755e-002 m³
Mass 8.0226 kg 13.73 kg
Centroid X 0.23791 m 0.23734 m
Centroid Y 0.33843 m 0.35718 m
Centroid Z 0.27796 m 0.26271 m
Moment of Inertia Ip1 0.15741 kg·m² 0.12678 kg·m²
Moment of Inertia Ip2 0.17296 kg·m² 0.12921 kg·m²
Moment of Inertia Ip3 0.12223 kg·m² 0.12683 kg·m²
Statistics
Nodes 30384 67454
Elements 15353 15678
Mesh Metric None

12. 12 | P a g e F i n - X T e c h n o l o g y
Finned vessel
Model (A4) > Geometry > Parts
Object Name Flared Fin X Model 2 Flared Fin X Model 2 fluid
State Meshed
Graphics Properties
Visible Yes
Transparency 1 0.1
Definition
Suppressed No
Stiffness Behavior Flexible
Coordinate System Default Coordinate System
Reference Temperature By Environment
Material
Assignment Aluminum Alloy Water Liquid
Nonlinear Effects Yes
Thermal Strain Effects Yes
Bounding Box
Length X 0.35553 m 0.32508 m 0.31272 m
Length Y 0.25371 m 2.116e-004 m 0.23872 m
Length Z 0.53776 m 0.32508 m 0.31272 m
Properties
Volume 2.8213e-003 m³ 6.2668e-007 m³ 1.3755e-002 m³
Mass 7.8149 kg 1.7359e-003 kg 13.73 kg
Centroid X 0.24333 m 0.24282 m 0.24276 m
Centroid Y 0.33327 m 0.48286 m 0.37666 m
Centroid Z 0.43773 m 0.42229 m 0.42227 m
Moment of Inertia Ip1 0.15036 kg·m² 2.1608e-005 kg·m² 0.12683 kg·m²
Moment of Inertia Ip2 0.16813 kg·m² 4.3215e-005 kg·m² 0.12921 kg·m²
Moment of Inertia Ip3 0.11379 kg·m² 2.1608e-005 kg·m² 0.12678 kg·m²
Statistics
Nodes 60279 17878 61114
Elements 32127 7261 14118
Mesh Metric None

13. 13 | P a g e F i n - X T e c h n o l o g y
Standard vessel
Model (B4) > Steady-State Thermal (B5) > Solution (B6) > Results
Object Name Temperature Total Heat Flux
State Solved
Scope
Scoping Method Geometry Selection
Geometry All Bodies
Definition
Type Temperature Total Heat Flux
By Time
Display Time Last
Calculate Time History Yes
Identifier
Suppressed No
Results
Minimum 226.7 °C 13.71 W/m²
Maximum 900. °C 1.1411e+006 W/m²
Minimum Occurs On Flared Fin X Model fluid
Maximum Occurs On Flared Fin X Model
Minimum Value Over Time
Minimum 226.7 °C 13.71 W/m²
Maximum 226.7 °C 13.71 W/m²
Maximum Value Over Time
Minimum 900. °C 1.1411e+006 W/m²
Maximum 900. °C 1.1411e+006 W/m²
Information
Time 1. s
Load Step 1
Substep 1
Iteration Number 2
Integration Point Results
Display Option Averaged
Average Across Bodies No

14. 14 | P a g e F i n - X T e c h n o l o g y
Model (B4) > Steady-State Thermal (B5) > Solution (B6) > Probes
Object Name Heat Flux Probe Temperature Probe
State Solved
Definition
Type Heat Flux Temperature
Location Method Geometry Selection
Geometry 1 Face
Suppressed No
Options
Result Selection Total
Display Time End Time
Spatial Resolution Use Maximum
Results
Total 912.55 W/m²
Temperature 113.32 °C
Maximum Value Over Time
Total 912.55 W/m²
Temperature 113.32 °C
Minimum Value Over Time
Total 912.55 W/m²
Temperature 113.32 °C
Information
Time 1. s
Load Step 1
Substep 1
Iteration Number 2

15. 15 | P a g e F i n - X T e c h n o l o g y
Finned vessel
Model (A4) > Steady-State Thermal (A5) > Solution (A6) > Results
Object Name Temperature Total Heat Flux
State Solved
Scope
Scoping Method Geometry Selection
Geometry All Bodies
Definition
Type Temperature Total Heat Flux
By Time
Display Time Last
Calculate Time History Yes
Identifier
Suppressed No
Results
Minimum 22. °C 2.8007e-010 W/m²
Maximum 900.03 °C 1.8649e+006 W/m²
Minimum Occurs On Flared Fin X Model 2
Maximum Occurs On fluid Flared Fin X Model 2
Minimum Value Over Time
Minimum 22. °C 2.8007e-010 W/m²
Maximum 22. °C 2.8007e-010 W/m²
Maximum Value Over Time
Minimum 900.03 °C 1.8649e+006 W/m²
Maximum 900.03 °C 1.8649e+006 W/m²
Information
Time 1. s
Load Step 1
Substep 1
Iteration Number 2
Integration Point Results
Display Option Averaged
Average Across Bodies No

16. 16 | P a g e F i n - X T e c h n o l o g y
Model (A4) > Steady-State Thermal (A5) > Solution (A6) > Probes
Object Name Heat Flux Probe Temperature Probe
State Solved
Definition
Type Heat Flux Temperature
Location Method Geometry Selection
Geometry 1 Face
Suppressed No
Options
Result Selection Total
Display Time End Time
Spatial Resolution Use Maximum
Results
Total 2024. W/m²
Temperature 131.98 °C
Maximum Value Over Time
Total 2024. W/m²
Temperature 131.98 °C
Minimum Value Over Time
Total 2024. W/m²
Temperature 131.98 °C
Information
Time 1. s
Load Step 1
Substep 1
Iteration Number 2

17. 17 | P a g e F i n - X T e c h n o l o g y
Conclusion:
This project concludes that by the help of fins to the vessel we can
save the energy as well as time by more heat transfer. It is designed to help turn
scientific and technological ideas into innovative, profitable products and
services.
The result of our project show that finned vessel is 15% more efficient
than standard vessel. So we can say that Fin-x technology can helps to save the
fuel that use in our households.
Future scope:
In our country we have a lot of problems faced due to gas, either price or
scarcity. So we can save fuel by the help this Fin-x technology in cooking vessels that
may save the fuel and to develop the technology in our country.
This project can be carried out later on by changing material of a vessel and
fins, fins shape and area of contact, increase in number of fins. This can also for
different type of vessel in household.
Reference:
 http://www.eng.ox.ac.uk/about/news/oxford-designed-flare-pan-uses-40-
per-cent-less-heat-than-conventional-pans
 http://www.geek.com/science/oxford-scientist-taps-jet-engine-tech-to-build-
super-efficient-pots-and-pans-1598904/
 http://www.flare.co.uk/

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