P13621: Conductive Heat Transfer Lab Equipment https://edge.rit/edge/P13621/public/Home

1. P13621: Conductive Heat Transfer Lab Equipmenthttps://edge.rit.edu/edge/P13621/public/Home MSD 1: Detailed Design Review 2 November, 2012 RIT KGCOE

2. Project Participants Project Sponsor : RIT KGCOE, Chemical Engineering Dept. Dr. Karuna S. Koppula Mr. Paul Gregorius MSD 1 Team Guides : Neal Eckhaus Steve Possanza ChinmayPatil (field expert) Team P13621: Shannon McCormick - (ChemE) PM Tatiana Stein - (ChemE) Team Facilitator Shayne Barry - (ME) Procurement Jordan Hill - (EE) PiotrRadziszowski - (ME) MekaIheme - (ChemE) Risk Manager RushilRane - (ISE) Lead Engineer

3. Agenda • Project Overview • Customer Needs and Engineering Metrics • Assembly Drawing & CAD Drawings • Feasibility Analysis • Specimen dimension analysis • Cooling Capacity • Insulation Analysis • Experimental Basis • Safety Analysis • Bill of Materials • Spec Sheets • Project Plan • Risk Assessment • Test Plan

4. Project Overview Mission Statement: To provide students with the ability to observe conductive heat transfer and the ability to measure the thermal conductivity of a material. Background: • A material’s ability to transfer heat is a measurable quantity • RIT ChemE department would like to procure lab equipment that would demonstrate heat transfer such that students may be able to calculate thermal conductivity • Experimental results would be comparable to published data

5. Customer Needs

6. Engineering Metrics

7. Engineering Metrics

8. Assembly Drawing • Assembly/ disassembly instructions • Transfer of heat • Linear profile • Size of cold plate • Constant pressure application • Thermal stickers for visual • Losses

9. CAD Drawings

10. CAD Drawings

11. CAD Drawings

12. Specimen Dimension Analysis

13. Specimen Dimension Analysis

14. Specimen Dimension Analysis

15. Cooling Capacity

16. Insulation Dimension Analysis Monte Carlo Analysis X = Ideal Insulation Thickness (m) K = Thermal Conductivity (W/mK) A = Area of Sample (m2) T2 = Outside Temperature (K or C) T1=Sample Temperature (K or C) Q = Power in (W) K – Held Constant (0.2 W/mK) A – Held Constant (0.0079 m2) T2– Held Constant (20 C) -Q and T1 are varied simultaneously -Generate large data set and use stochastic methods to determine best insulation thickness It is infeasible to use deterministic methods due to the many non-converging values of X resulting from combinations of Q and T1 . T2 values also change along the length of the sample, adding to the complexity of a deterministic model.

17. Error Minimized using Excel Solver Function

18. Insulation Dimension Analysis

19. Insulation Dimension Analysis

20. Current Lab Set-Up

21. Experimental Basis • Conclusions from Lab • Aluminum graph was more linear than the copper graph • Aluminum sample was longer than the copper sample  the longer the sample size, the better the accuracy that was achieved

22. ANSYS – Thermal Model

23. ANSYS – Heat Generation Model

24. ANSYS – Temperature Boundary Model

25. ANSYS – Heat Flux Model

26. Safety Analysis

27. Safety Analysis

28. Bill of Materials

29. Bill of Materials

30. Spec Sheets – cartridge heater

31. Spec Sheets – cold plate

32. Spec Sheets – cooling unit

33. NI 9211 DAQ vs. NI USB-TC01

34. DAQ comparison

35. Power Supply • 0 to 48 voltage range • 0-1 A current range • P=I*V • Provides exact method of calculating energy into the system

36. Project Plan

37. Project Plan

38. Risk Assessment

39. Risk Assessment

40. Test Plan

41. Test Procedures

42. Test Procedures

45. Test Template

46. Questions?