Finite Element Simulation of Shelf Life Prediction of Moisture-Sensitive Crackers in Permeable Packaging under Different Storage Conditions

2015 ◽  
Vol 40 (1) ◽  
pp. 37-47 ◽  
Author(s):  
Fayi Hao ◽  
Lixin Lu ◽  
Jun Wang
2013 ◽  
Vol 365-366 ◽  
pp. 224-228
Author(s):  
Tian Ma ◽  
Chuan Ri Li ◽  
Shuang Long Rong

To predict an airborne equipment lifetime with finite element simulation method, use ANSYS and Flothem, respectively, to analysis vibration stress and temperature stress, corrected by kinetic experiment; then import the results into the failure prediction software-CALCE PWA, set the intensity and duration of stress according to its mission profile, finally get the component failure life prediction results under comprehensive temperature and vibration stress; extract the Monte-Carlo simulation data, use the single point of failure distribution fitting, fault clustering and multipoint distribution fusion method to get the board and the whole machines lifetime and reliability prediction. The design refinement suggestion of the airborne equipment is given at the end of the conclusion.


2005 ◽  
Vol 297-300 ◽  
pp. 96-101
Author(s):  
Ishak Abdul Azid ◽  
Lee Kor Oon ◽  
Ong Kang Eu ◽  
K.N. Seetharamu ◽  
Ghulam Abdul Quadir

An extensively published and correlated solder joint fatigue life prediction methodology is incorporated by which finite element simulation results are translated into estimated cycles to failure. This study discusses the analysis methodologies as implemented in the ANSYSTM finite element simulation software tool. Finite element models are used to study the effect of temperature cycles on the solder joints of a flip chip ball grid array package. Through finite element simulation, the plastic work or the strain-energy density of the solder joints are determined. Using an established methodology, the plastic work obtained through simulation is translated into solder joint fatigue life [1]. The corresponding results for the solder joint fatigue life are used for parametric studies. Artificial Neural Network (ANN) has been used to consolidate the parametric studies.


2020 ◽  
Vol 141 ◽  
pp. 02002
Author(s):  
Phanida Renumarn ◽  
Natthaya Choosuk

In the present study, influence of two types packaging (inflated polypropylene (IPP) and laminated aluminium foil (ALU)) and storage conditions (with/without 1 g of silica desiccant packets (SDPs)) on quality and shelf life of chewy santol candies were studied. After storage at 25 degrees Celsius for 30 days, it was found that the combination of ALU with SDPs presented the best treatment to maintain the quality of colour, water activity (aw), moisture content, total acidity, pH value, sensory evaluation i.e. (colour, odour, flavour and overall acceptance). Shelf-life prediction by using accelerated Q10 method based on moisture factors as an indicator of deterioration of the samples during storage. The samples were incubated at 25, 35 and 45°C and sampled every 5 days for estimated on physical, chemical quality and microbiological change. The predicted shelf life of chewy santol candies at 25°C of IPP and ALU packaging with SDPs using Q10 method were 25 and 27 days, respectively. However, the IPP and ALU packaging without SDPs, the products can be stored less than 25 days. SDPs provides a cheaper and easy method to keeping quality of the chewy santol candies. Therefore, the products with SDPs packaging can maintain the product quality during storage and has an acceptable quality to consumers.


2003 ◽  
Vol 68 (4) ◽  
pp. 1292-1300 ◽  
Author(s):  
M.A. Del Nobile ◽  
G.G. Buonocore ◽  
S. Limbo ◽  
P. Fava

2016 ◽  
Vol 58 (2) ◽  
pp. 329-349 ◽  
Author(s):  
Rui Zhang ◽  
Lihua Wen ◽  
Sam Naboulsi ◽  
Thomas Eason ◽  
Vijay K. Vasudevan ◽  
...  

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