Design of a Zero-Failure Reliability Test Plan Based on Customer Usage and Bench Life Test Data

2006 ◽  
Vol 49 (2) ◽  
pp. 93-103
Author(s):  
Jianxiong Chen ◽  
Wenzhen Yan
Keyword(s):  
Monte Carlo Simulation ◽  
Test Data ◽  
New Products ◽  
Test Method ◽  
Reliability Test ◽  
Distribution Analysis ◽  
Test Plan ◽  
Life Test ◽  
Product Service

Reliability tests are mandatory to evaluate new products prior to their release. The proper determination of a reliability test plan is crucial because an erroneous test plan can be very costly and misleading. This paper describes a probability-based method of designing a reliability demonstration test plan using both field customer usage and historical bench life test data. Statistical distribution analysis, Monte Carlo simulation (MCS) technique, and zero-failure test method are integrated into the probability-based method to create test plans that can more accurately evaluate product reliabilities for the required product service life using a small number of test samples.

Computational mechanical property determination of viscoelastic/plastic materials from nanoindentation creep test data

2009 ◽  
Vol 24 (3) ◽  
pp. 1245-1257 ◽  
Author(s):  
Jianjun Wang ◽  
Timothy C. Ovaert
Keyword(s):  
Mechanical Properties ◽  
Mechanical Property ◽  
Finite Element ◽  
Test Data ◽  
Plastic Material ◽  
Test Method ◽  
Element Formulation ◽  
Unknown Parameters ◽  
Plastic Materials

Nanoindentation is a widely accepted test method for materials characterization. On account of the complexity of contact deformation behavior, design of parametric constitutive models and determination of the unknown parameters is challenging. To address the need for identification of mechanical properties of viscoelastic/plastic materials from nanoindentation data, a combined numerical finite element/optimization-based indentation modeling tool was developed, fully self-contained, and capable of running on a PC as a stand-alone executable program. The approach uses inverse engineering and formulates the material characterization task as an optimization problem. The model development consists of finite element formulation, viscoelastic/plastic material models, heuristic estimation to obtain initial solution boundaries, and a gradient-based optimization algorithm for fast convergence to extract mechanical properties from the test data. A four-parameter viscoelastic/plastic model is presented, then a simplified three-parameter model with more rapid convergence. The end result is a versatile tool for indentation simulation and mechanical property analysis.

Development of Accelerated Life Test Method of Hydraulic Pump

2006 ◽  
Vol 326-328 ◽  
pp. 1861-1864
Author(s):  
Dong Soo Jung ◽  
Hyoung Eui Kim ◽  
Sung Hun Kim ◽  
E Sok Kang
Keyword(s):  
Duty Cycle ◽  
Weighted Average ◽  
Life Time ◽  
Test Method ◽  
Accelerated Life Test ◽  
Hydraulic Pump ◽  
Life Test ◽  
Accelerated Life ◽  
Equivalent Load

This paper proposes a new accelerated life test method of hydraulic pump used in vehicles, which have multiple alternating loads. For determination of life time of hydraulic pump for given field conditions with respect to duty cycle, the equivalent load and speed of this unit has to be determined. Equivalent load and speed can be calculated from the given duty cycle using the predominant theory for cumulative fatigue damage. Finally, we can perform accelerated life test on hydraulic pump by determination of test pressure and speed from calculated equivalent cumulative damage per working cycle and weighted average speed.

scholarly journals Truncated Life Test Plans for Economic Reliability Based on Four-Parametric Burr Distribution

2013 ◽  
Vol 2013 ◽  
pp. 1-6
Author(s):  
Ramkumar Balan ◽  
Sajana Kunjunni
Keyword(s):  
Probability Model ◽  
Reliability Test ◽  
Test Plan ◽  
Life Test ◽  
Producer’S Risk ◽  
Sampling Plans ◽  
Burr Distributions ◽  
Burr Distribution ◽  
Truncated Life Test ◽  
Termination Time

Burr distribution is considered as a probability model for the lifetime of products. Reliability test plans are those sampling plans in which items from a lot are put to test to make conclusions on the estimate of life, and hence acceptance or rejection of the submitted lot is done. A test plan designs the termination time of the experiment and the termination number for a given sample size and producer’s risk. Tables and graphs were provided for certain specific values of designs, and it is useful to verify the optimum reliability test plan realized by Burr distributions.

scholarly journals Shelf Life of Nori from Gracilaria sp. with Polypropylene (PP) Packaging Based on the Accelerated Shelf Life Test Method

2020 ◽  
pp. 50-60
Author(s):  
Sapinatun Namira ◽  
Evi Liviawaty ◽  
Isni Nurruhwati ◽  
Eddy Afrianto
Keyword(s):  
Shelf Life ◽  
Storage Temperature ◽  
Test Method ◽  
Critical Parameters ◽  
Life Test ◽  
Arrhenius Model ◽  
Texture Parameters ◽  
Calculation Results ◽  
Clear Plastic

This research was conducted at the Laboratory of Fisheries Products Processing, Faculty of Fisheries and Marine Sciences, Padjadjaran University, Jatinangor, West Java, Indonesia. The purpose of this research was to determine the shelf life of Nori from Gracilaria sp. with the Accelerated Shelf Life Test (ASLT) method Arrhenius Model using Polypropylene (PP) packaging. Gracilaria is a genus of red algae (Rhodophyta) used as a food for humans and various species of shellfish. Polypropylene (PP) is a shiny, clear plastic with good optical properties and tensile resistance. The determination of the shelf life of the ASLT method is carried out using parameters of environmental conditions that can accelerate the process of product quality degradation, namely by storing the product at several temperatures above normal storage temperature. The observations used in determining the shelf life of Gracilaria sp. using a sensory test and a water content test with storage for 35 days, at a temperature of 25°C and 35°C. The calculation results of the Arrhenius model used texture parameters as critical parameters because those had the lowest Activation Energy (Ea) in determining the shelf life of Gracilaria sp. which is packaged using PP plastic. The results showed the value used for determining the shelf life of nori Gracilaria sp. namely texture parameters based on the order 0 reaction with the Arrhenius plot Ln K = -2.0381 - 214.63 (1 / T) and Ea of 1784.6485. The shelf life of nori Gracilaria sp. was found to be elongated if stored at room temperature of (25°C) which was around 94 days.

scholarly journals SHELF LIFE OF NORI FROM Gracilaria sp. WITH ALUMUNIUM FOIL PACKAGING BASED ON THE ACCELERATED SHELF LIFE TEST METHOD

2021 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
Evi Liviawaty ◽  
Sapinatun Namira ◽  
Subiyanto Subiyanto ◽  
Eddy Afrianto
Keyword(s):  
Shelf Life ◽  
Critical Parameter ◽  
Storage Temperature ◽  
Arrhenius Plot ◽  
Aluminum Foil ◽  
Test Method ◽  
Life Test ◽  
Arrhenius Model ◽  
Quality Degradation

This research was conducted at the Laboratory of Fisheries Products Processing, Faculty of Fisheries and Marine Sciences, Padjadjaran University, Jatinangor. The purpose of this research is to determine the shelf life of Nori from Gracilaria sp. with the Accelerated Shelf Life Test (ASLT) method Arrhenius Model using Aluminum Foil packaging. Aluminum foil packaging is a package composed of hermetic, flexible, and opaque metal so that it has high protection properties against water vapor, light, grease and gas. The determination of the shelf life of the ASLT method is carried out using parameters of environmental conditions that can accelerate the process of product quality degradation, namely by storing the product at several temperatures above normal storage temperature. The observations used in determining the shelf life of Gracilaria sp. using a sensory test and a water content test with storage for 35 days, at a temperature of 25oC and 35oC. The result of the Arrhenius model calculation, the appearance parameter is selected as the critical parameter because it has the lowest Activation Energy (Ea) in determining the shelf life of Gracilaria sp. which is packaged using PE plastic. The results show that the parameters used to determine the shelf life of the product are the taste parameters based on the order 1 reaction with the Arrhenius Plot Ln K = 0.026 – 1318.4 (1 / T) and Ea of 2619.66 Kj/mol. The shelf life of Nori Gracilaria sp. if stored at 25oC temperature is 89 hari 7 jam.

An Improved Weighted Average Method for Test Data Analysis of Electronic Components

2013 ◽  
Vol 321-324 ◽  
pp. 734-738
Author(s):  
Fei Fei Zhang ◽  
Zhi Gang Li ◽  
Fang Yao
Keyword(s):  
Test Data ◽  
Weighted Average ◽  
Electronic Components ◽  
Characteristic Parameters ◽  
Life Test ◽  
Electric System ◽  
Electromagnetic Relay ◽  
Random Fluctuations ◽  
Weight Coefficients

Electronic components are the basis of electronic equipment, and their reliability and lifetime have a direct impact on the work efficiency of the whole electric system. In fact, the test data on life characteristic parameters (LCP) of electronic components present random fluctuations because of the existence of some disturbing factors in the process of life test. This will bring great obstacles to the study on the rules of LCP, the reliability and life forecasting of electronic components. In order to solve these problems, this paper proposes a method of the determination of weight coefficients and an improved weighted average algorithm to reveal the rules of LCP. In the improved weighted average algorithm, the latest data is constantly introduced while the oldest data is removed. By an example of contact bounce time on electromagnetic relay, the application verification has been carried out on the above-stated method in the paper. The results show that the method is effective and feasible.

The Determination of Reliability Test Times for Dynamic Mechanism

2012 ◽  
Vol 538-541 ◽  
pp. 2125-2130
Author(s):  
Wei Guo ◽  
Wei Min Cui ◽  
Hang Shuai Li ◽  
Tian Xiang Yu
Keyword(s):  
Fatigue Life ◽  
Sample Size ◽  
Dynamic Mechanism ◽  
Test Time ◽  
Reliability Test ◽  
Life Test ◽  
Life Distribution ◽  
The Central Limit Theorem ◽  
Confidence Degree

In this paper, the dynamic mechanism is taken as an example for research sample size definition in Reliability Compliance Test and the Durability (Life) Test. When the fatigue life distribution is unknow, the test can be considered as a kind of success-failure test, which sample size is followed by binomial distribution. According to the central limit theorem, when the sample size is very large, it is followed by the Normal Distribution. When the two reliability targets and confidence degree were given, the total times of the test and the maximum times of the failure test can be calculated. In life test, the key point is to transform the test time into times of test.

Study on Reliability Growth Test Method for Disc Magazine and Manipulator

2014 ◽  
Vol 904 ◽  
pp. 335-339
Author(s):  
Jing Ying Duan ◽  
Chang Jing Fu
Keyword(s):  
Test Data ◽  
Weibull Model ◽  
Small Sample ◽  
Accelerated Life Testing ◽  
Test Method ◽  
Distribution Model ◽  
Accelerated Life ◽  
Acceleration Model ◽  
Selection Of

The life distribution model and accelerated life testing methods of the disc magazine and manipulator were discussed. The small sample determination of truncation test was performed to QY011 and a batch of test data under the accelerated stress at the selection of vibration as the accelerated stress have been obtained. The reliability life index under certain stress level was analyzed through established the accelerated probability weighted Weibull model and inversed power law model for acceleration model. According to the acceleration model and statistical analysis of test data, the QY011 reliability life level of QY011 disc magazine and manipulator under the normal working conditions were calculated.

Determination of Stoichiometry of GaAs Component in (Gaas)Ge Epitaxially Grown Thin Films by Electron Microprobe X-Ray Analysis

1990 ◽  
Vol 48 (2) ◽  
pp. 264-265
Author(s):  
D. R. Liu ◽  
S. S. Shinozaki ◽  
R. J. Baird
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Compound Semiconductors ◽  
Energy Dispersive Analysis ◽  
X Ray ◽  
Metastable Alloys ◽  
Lower Voltage

The epitaxially grown (GaAs)Ge thin film has been arousing much interest because it is one of metastable alloys of III-V compound semiconductors with germanium and a possible candidate in optoelectronic applications. It is important to be able to accurately determine the composition of the film, particularly whether or not the GaAs component is in stoichiometry, but x-ray energy dispersive analysis (EDS) cannot meet this need. The thickness of the film is usually about 0.5-1.5 μm. If Kα peaks are used for quantification, the accelerating voltage must be more than 10 kV in order for these peaks to be excited. Under this voltage, the generation depth of x-ray photons approaches 1 μm, as evidenced by a Monte Carlo simulation and actual x-ray intensity measurement as discussed below. If a lower voltage is used to reduce the generation depth, their L peaks have to be used. But these L peaks actually are merged as one big hump simply because the atomic numbers of these three elements are relatively small and close together, and the EDS energy resolution is limited.

Sign in / Sign up

Export Citation Format

Share Document