31
1 Interleaved Parallelogram Fin Module Technology Applied in Whitley platform Auras Technology Inc. R&D III director Chen, Hong-Long Ph.D 陳恆隆 博士 3 Oct, 2018

Interleaved Parallelogram Fin Module Technology Applied in … · 2018-11-14 · 1 Interleaved Parallelogram Fin Module Technology Applied in Whitley platform Auras Technology Inc

  • Upload
    others

  • View
    21

  • Download
    2

Embed Size (px)

Citation preview

1

Interleaved Parallelogram Fin ModuleTechnology Applied in Whitley platform

Auras Technology Inc.R&D III director

Chen, Hong-Long Ph.D陳恆隆 博士3 Oct, 2018

Icelake Intel design guide(Feb. 2018)

2 p Auras Confidential

Icelake Intel technical forum reference design(June. 2018)

I.P.F.M. technologyI.P.F.M. technologyI.P.F.M. technologyI.P.F.M. technologyIIIINTERLEAVED NTERLEAVED NTERLEAVED NTERLEAVED PPPPARALLEOGRAM ARALLEOGRAM ARALLEOGRAM ARALLEOGRAM FFFFin in in in MMMModule odule odule odule

Schematics of IPFM vs. regular fin module

Remove triangular section byInterleaved pattern

Icelake regular design

4 p Auras Confidential

Icelake IPFM design

Uniform finmore surface area

Better performance!!

IPFMLess surface area

Better performance!!

Summary:� IPFM performs better in lower CFM region� Uniform fin performs better in higher CFM region

If equal dP is considered:� IPFM may outperforms uniform fin for high/low CFM� Due to less dP to gain 5% more airflow

Test Result Analysis

Test of constant CFM vs. constant dP

IPFMOutperform uniform fin

In low & high CFM region!!

IPFM advantage than uniform fin:� The lower CFM, the lower Rth� Lower dP about 5-6%� More airflow about 6-7%� Lighter by 3-4 %

Why IPFM excels in lower CFM region ?

IPFMOutperform uniform fin

In low & high CFM region!!WHY??

Decode IPFM advantage :

� CFD approach

� Analytical approach

Size: 113x78x25 mm

Base: 4.5mm Al base / Cu block

Fin: 113Lx21Hx0.3t, Al

Power: 165W

Ambient: 35C

Flow rate: 11.9CFM

Inlet velocity in recangular fin

CFD analysis of IPFM

The 1st HSK with variable velocityin flow channel!

The lower position, the higher velocity!!

Size: 113x78x25 mm

Base: 4.5mm Al base / Cu block

Fin: 113Lx21Hx0.3t, Al

Power: 165W

Ambient: 35C

Flow rate: 11.9CFM

p 10

Inlet & outlet temperature

IPFM

REC Boundary layer merge line

Boundary layer merge line

p 11

Inlet & outlet temperature

IPFM

REC

p 12

Pressure field

IPFM

REC

Pressure Drops of fin module

p Auras Confidential

• Inlet pressure drop

• Developing pressure drop

• Fully developed pressure drop

• Expansion pressure drop

• Acceleration pressure drop

Huge Entrance Pressure in Fan Swirling

IPFM is the optimized configuration??

Model I

– regular shape

Model II

– trapezoidal

Model III

-inversed trapezoidal

Model IV

- parallelogram

Result Analysis

IPFM Technology in shadowed placement

p Auras Confidential

Uniform gap IPFM configuration

IPFM v.s rectangular fin design

cpuo

cpu1

cpuo

cpu1

cpu0 cpu1

DIMMs / HDD / ODD are much more beneficial from IPFM!!

Theoretical / Mathematical Analysis

CFD hard to see the trend?

Pressure drop calculation process

p Auras Confidential

Theoretical analysis✔ Theoretical analysis ??

Uniform gap

Non-uniform gap

Comparison of theoretical & experimental result

CFM

5 10 15 20 25

P (

Pa)

0

20

40

60

80

100

120

Original theoreticalIPFM theoreticalOriginal experimentalIPFM experimental

Comparison of analytical & experimental results

Derived analytical estimation is closeto experimental results within acceptableaccuracy!

This derived algorithm can be used to predictThe relationship of cutting angle vs. dP vs. Rth

Wind tunnel test data

CFM

5 10 15 20 25

Rth

o C/W

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.50

Original designIPFM design

Comparison of analytical and experimental results

CFM

5 10 15 20 25

Rth

o C/W

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.50

Original experimentalIPFM experimentalOriginal analyticalIPFM analytical

Comparison of analytical results

CFM

5 10 15 20 25

Rth

o C/W

0.15

0.20

0.25

0.30

0.35

0.40

0.45

0.50

Original designIPFM design

Derived analytical estimation is closeto experimental results within acceptableaccuracy!

This derived algorithm can be used to predictThe relationship of CFM vs. Rth

Relationship of CFM vs. Rth

Relationship of cutting angle vs. fins vs. dP vs. Rth

Nu =C*Rem *Prn

Re=(V*2s)/ν

Reasons of IPFM unique characteristics for h value

Why IPFM is better?

h (W

/m2 C

Supermicro server system

• Platform: Dual socket R3 (LGA 2011) supports

• Intel® Xeon® processor E5-2600

• Layout: Full shadowed

Test of velocity

Flow testFlow (m/s) Super micro Standard fin IPFM

Fan 1.3 1.11 1.22Front 2.42 2.58 2.7Mid 2.16 2.34 2.6Rear 1.88 2.18 2.45 0

0.5

1

1.5

2

2.5

3

Fan Front Mid Rear

Flow at each location Super micro Standard finIPFM

p 31

Thanks for your attention!