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Product life, predicting

Traditional tensile, compression, and flexural tests are being supplemented by newer and more exacting requirements that include much more action in formabihty, instrumented impact, pressure, thermal environment simulation, and fatigue and fracture testing that can provide product life prediction. Data from these exhaustive tests are fed back to designers using finite element analysis and to customers as proof of quality. [Pg.868]

Environmental Tests. It is desirable to know the rate at which an adhesive bond will lose strength due to environmental factors in service. Strength values determined by short-term tests do not give an adequate indication of an adhesive s performance during continuous environmental exposure. Laboratory-controlled aging tests seldom last longer than a few thousand hours. To predict the permanence of an adhesive over a 20-year product life requires accelerated test procedures and extrapolation of data. Such extrapolations are extremely risky because the causes of adhesive bond deterioration are complex (see Sec. 15.2.2). Unfortunately no universal method has yet been established to estimate bond life accurately from short-term aging data. [Pg.454]

The straight-line method may be applied on the basis of units of production or predicted amount of service output, instead of life years. The depreciation may be based on miles, gallons, tons, number of unit pieces produced, or other measures of service output. This so-called unit-of-production or service-output method is particularly applicable when depletion occurs, as in the exploitation of natural resources. It should also be considered for properties having useful lives that are more dependent on the number of operations performed than on calendar time. [Pg.279]

In hindsight, this probably seemed routine enough to inspire some complacency. An OEM PC power supply was all set to go into full production. The Design Integrity Team put it through its paces. Maximum loads were applied at extreme ambients. Stress levels were verified, life predictions matched up, vibration testing, EMI, safety etc., were a cinch. The product was released and no problem was noticed in the several thousand units first shipped to the American market. Then the failures started to show up in droves. All came mysteriously from Japan. Must ve been something in the sushi ... [Pg.439]

A product (aseptically produced and filled) in a multidose vial (20 ml) uses a natural rubber stopper through which the volatile preservative system is lost. As a result a 3 year shelf life (predicted and assumed previously) cannot be achieved. An alternative rubber stopper is advised. The supplier recommends a chlorbutyl synthetic rubber stopper. Actions advised are as... [Pg.41]

Wei, R. P., and Harlow, D. G., Materials Considerations in Service Life Prediction, Proceedings of DOE Workshop on Aging of Energy Production and Distribution Systems, Rice University, Houston, TX, October 11-12,1992, M. M. Carroll and P. D. Spanos, eds., Appl. Mech. Rev., 46, 5 (1993), 190-193. [Pg.212]

Promoting the sustainable development implies the availability of reliable measures. These measures should regard the complete manufacturing-supply chain over the predictable product life cycle. The metrics should be simple and understandable by the large public, useful for decision-making agents, consistent and reproducible. The sustainability measures proposed recently by Schwartz, Beloff Beaver (2002) have these properties. They refer to the same unit of outputs, for example the to the value-added dollar Fy4, defined as Revenues minus Costs of raw materials and utilities. The metrics that will be presented are consistent in the sense that 1) the lower the metric the more effective the process, and 2) all indicate the same direction. [Pg.27]

The number of drug information requests is often predictable, based on the product life cycle. The first 6 months following launch generally represent the heaviest call volume. [Pg.366]

For any type of product that gains or loses water, one can measure the moisture content as a function of relative humidity, or water activity, and determine a moisture isotherm. As shown in Fig. 14.14, moisture isotherms are usually sigmoid shaped curves. However, one can sometimes use only the linear portion of the curve for shelf life predictions. [Pg.384]

Small-scale laboratory tests for rubber are used in material and product specifications and for such activities as compound development, component design, factory quality control, and life prediction. Many of these tests have been shaped by the distinguishing features of rubber, rubber products, and their means of manufacture. Such features can conveniently be grouped as follows ... [Pg.285]

Without proper knowledge of the circumstances in which degradation mechanisms are active and of how they interact, there is no firm base for reliable life prediction models. Products will be over-designed to compensate for the lack of accurate predictions. The models presently available for quantifying the degradation and ageing mechanisms presented in the previous section are reviewed here. [Pg.30]

In order to develop rehable products with a long lifespan, it is necessary to predict possible causes of future damage in the use phase during the early construction phases already. Over the whole product life cycle, mechatronic products (e.g. electronic coolant pumps, high pressure fuel injection pumps, alternators) exhibit highly complex damage causes due to the interactions between the different subcomponents. [Pg.797]

Product life cycle (handwear and footwear predicted useful product life, sustainability of PPE PDS) ... [Pg.157]

To predict the permanence of an adhesive over a 20-year product life requires accelerated test procedures and extrapolation of data. Such extrapolations are extremely risky because the causes of adhesive bond deterioration are many and not well understood. [Pg.21]

Marsili, R.T. Shelf-life prediction of processed mUk by solid-phase microextraction, mass spectrometry, and multivariate analysis. J. Agric. Food Chem. 48, 3470-3475 (2000). Mastrocola, D. and Munari, M. Progress of the Maillard reaction and antioxidant action of Maillard reaction products in preheated model systems during storage. J. Agric. Food Chem. 48, 3555-3559 (2000). [Pg.353]


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See also in sourсe #XX -- [ Pg.199 ]




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