TY  - JOUR
T1  - Practical Statistical Methods for Predicting Life and Reliability of Fine Pitch Gear Pairs
AU - , F. Djeddou AU - , R. Zegadi 
JO  - Journal of Engineering and Applied Sciences
VL  - 2
IS  - 3
SP  - 494
EP  - 500
PY  - 2007
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2007.494.500
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2007.494.500
KW  - Gear
KW  -fatigue
KW  -stress
KW  -uncertainties
KW  -random
KW  -statistics
KW  -life
KW  -reliability
AB  - Practical experience with the modern gear analysis methods (e.g., ISO /6336, BS 436, DIN/3990) suggests that they may be too pessimistic for fine-pitch gears in which the effects of gear inaccuracies are considerable. These inaccuracies may contribute significantly to the variability`s and uncertainties of the applied and permissible stresses. In this research all the individual manufacturing errors are treated as random variables. The applied torque and other factors which in practice may also be uncertain are taken here as constants. Two probabilistic methods are developed in order to establish a statistical analysis for the applied and permissible stresses used in the ISO/6336 procedure. These give a more realistic estimate of the actual stresses and strengths for given (or assumed) random distributions errors of the individual manufacturing errors. The two statistical methods developed in this work have shown substantial agreement in predicting the Life and the reliability of fine pitch gear pairs.
ER  -