In Situ Experimental Validation of therm Finite Element Analysis for a High R-Value Wall Using Vacuum Insulation Panels

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Matthew J. Schiedel ◽  
Cynthia A. Cruickshank ◽  
Christopher M. Baldwin

This paper details the method used for a theoretical evaluation of Team Ontario's, U.S. Department of Energy Solar Decathlon 2013 entrant, high R-value wall using vacuum insulation panels (VIPs). The purpose is to determine a theoretical whole-wall thermal resistance to be used for energy modeling. Theoretical simulations are performed in therm, a two-dimensional finite element heat transfer modeling program, and an in situ experimental validation is conducted in Carleton University's Vacuum Insulation Test Facility located in Ottawa, Ontario, Canada. The theoretical model is refined based on the experimental study, and a whole-wall thermal resistance of Team Ontario's wall design is determined to be 9.4 m2·K/W (53 h·ft2·°F/Btu) at an exterior design temperature of −18 °C (0 °F).

Author(s):  
Matthew Schiedel ◽  
Cynthia A. Cruickshank ◽  
Christopher Baldwin

Team Ontario is one of twenty collegiate teams selected to design and build a solar powered, net positive home for the U.S. Department of Energy Solar Decathlon 2013. One aspect of Team Ontario’s competition design entry is a high R-value wall using vacuum insulation panels. This paper details the method used for theoretical evaluation of the high R-value wall, stating all simplifying assumptions made. Theoretical simulations were performed in THERM, a two dimensional finite element heat transfer modelling program. Following a weighted average method used by industry experts, the whole-wall thermal resistance value was calculated. To verify the modelling results, an in-situ experimental validation was conducted. An 8′ × 8′ wall test specimen was built to the specifications of Team Ontario’s wall design. Experimental heat flux and temperature readings were collected from the test specimen in Carleton University’s Vacuum Insulation Test Facility located in Ottawa, Ontario, Canada, with the test specimen exposed to exterior weather elements. The experimental and theoretical results are compared and conclusions drawn to determine the effective thermal resistance of the vacuum insulation panels installed in the wall assembly. Finally the theoretical model is refined based on the previous study and a more accurate whole-wall thermal resistance of Team Ontario’s wall design is determined.


Author(s):  
Gürkan İrsel

In this study, the total algorithm of the strength-based design of the system for mass production has been developed. The proposed algorithm, which includes numerical, analytical, and experimental studies, was implemented through a case study on the strength-based structural design and fatigue analysis of a tractor-mounted sunflower stalk cutting machine (SSCM). The proposed algorithm consists of a systematic engineering approach, material selection and testing, design of the mass criteria suitability, structural stress analysis, computer-aided engineering (CAE), prototype production, experimental validation studies, fatigue calculation based on an FE model and experimental studies (CAE-based fatigue analysis), and an optimization process aimed at minimum weight. Approximately 85% of the system was designed using standard commercially available cross-section beams and elements using the proposed algorithm. The prototype was produced, and an HBM data acquisition system was used to collect the strain gage output. The prototype produced was successful in terms of functionality. Two- and three-dimensional mixed models were used in the structural analysis solution. The structural stress analysis and experimental results with a strain gage were 94.48% compatible in this study. It was determined using nCode DesignLife software that fatigue damage did not occur in the system using the finite element analysis (FEA) and experimental data. The SSCM design adopted a multi-objective genetic algorithm (MOGA) methodology for optimization with ANSYS. With the optimization solved from 422 iterations, a maximum stress value of 57.65 MPa was determined, and a 97.72 kg material was saved compared to the prototype. This study provides a useful methodology for experimental and advanced CAE techniques, especially for further study on complex stress, strain, and fatigue analysis of new systematic designs desired to have an optimum weight to strength ratio.


2012 ◽  
Vol 54 (1) ◽  
pp. 74-83 ◽  
Author(s):  
V. Karthik ◽  
P. Visweswaran ◽  
Anand Bhushan ◽  
D.N. Pawaskar ◽  
K.V. Kasiviswanathan ◽  
...  

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