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This accuracy is worse than the 20 percent accuracy given earlier, especially where there is inadequate communication between the designer and the vendor Accuracy may be improved where an interested vendor carefully assesses the needs of a design, supplies a sample for testing, and follows the design activity to the end Contact with vendors, incidentally, often has a general beneficial effect It encourages designers to revise their thinking beyond the logical projection of their own experience Most designers need a steady flow of information from vendors to remain informed on both the new products and the changing capability of products Handbooks There are very few handbooks on selecting materials for wear resistance Materials and design handbooks usually provide lists of materials, some of which are highlighted as having been successfully used in wearing parts of various products.

They usually provide little information on the rates of wear of products, the mode of wear failure, the limits on operating conditions, or the method by which the wear-resisting parts should be manufactured or run in (if necessary) Some sources will give wear coefficients, which are purported to be figures of merit, or rank placing of materials for wear resistance A major limitation of wear coefficients of materials as given in most literature is that there is seldom adequate information given on how the data were obtained Usually this information is taken from standard laboratory bench tests, few of which simulate real systems The final result of the use of handbook data is a design which will probably not perform to an accuracy of better than 95 percent..

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Downloaded from Digital Engineering Library @ McGraw-Hill (www.digitalengineeringlibrary.com) Copyright 2004 The McGraw-Hill Companies. All rights reserved. Any use is subject to the Terms of Use as given at the website.

There is a great need for wear equations. Ideally, a wear equation would provide a numerical value for material loss or transfer for a wide range of materials and operating conditions of the wearing parts. Useful equations derived from fundamental principles are not yet available. Some empirical equations are available for very special conditions. The strictly empirical equations usually contain very few variables and are of the form VT n = f ad bK (34.1)

which applies to metal cutting, and in which V = cutting speed, T = tool life, f = feed rate, and d = depth of cut Experiments are done, measuring T over a range of f while holding V and d fixed at some arbitrary values, from which a can be obtained The experiments are repeated over ranges of d and V to obtain b and K It is generally assumed that the results will not depend on the selection of the variables to hold constant, which therefore assumes that there is neither any limit to the range of valid variables nor any interdependence between variables, which ultimately means that there is no change of wearing mechanisms over any chosen range of the variables.

Wear equations built by strictly empirical methods are therefore seen to be limited to the case under present study; they have limited ability to predict conditions beyond those of the tests from which they were derived, and they have little applicability to other sliding systems A common method of building equations from fundamental principles is to assume that wearing will take place in direct proportion to the real (microscopic) contact area These equations omit such important considerations as the presence of oxides and adsorbed gases on surfaces, and few of them recognize the role of repeated contact on sliding surfaces, which may lead to fatigue modes of material loss (wear) In a recent study [341], over 180 wear equations were analyzed as to content and form Though the authors collectively cited over 100 variables to use in these equations, few authors cited more than 5.

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