2015
DOI: 10.1051/meca/2015032
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Optimal design of paired tapered roller bearings under centred radial and axial static loads

Abstract: -Based on the relationships from the ISO 76 standard, this paper optimizes the internal dimensions of tapered roller bearings for maximum static load capacity. A bearing system formed by two identical bearings is assumed, subjected to whatever combination of centred radial and axial forces. It is shown that the static capacity increases linearly with the roller infill, with the ratio of roller length to roller diameter and with the square of the pitch diameter of the roller set. Further, given the ratio of axi… Show more

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Cited by 6 publications
(7 citation statements)
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“…In this range of operation, special supplies [31,32] or custom constructions are needed to achieve the maximum load capacity. Figure 8 compares the optimal angles from Table 3 (optimization for dynamic loading) with the corresponding optima (Table 3 of [21]) for the static loading of taper roller bearings. Figure 8 shows that the optimal dynamic contact angles are generally higher than their static counterparts for equal δ lim .…”
Section: Review Of the Resultsmentioning
confidence: 99%
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“…In this range of operation, special supplies [31,32] or custom constructions are needed to achieve the maximum load capacity. Figure 8 compares the optimal angles from Table 3 (optimization for dynamic loading) with the corresponding optima (Table 3 of [21]) for the static loading of taper roller bearings. Figure 8 shows that the optimal dynamic contact angles are generally higher than their static counterparts for equal δ lim .…”
Section: Review Of the Resultsmentioning
confidence: 99%
“…Within the wide range of dimensions and contact angles considered, the maximum error in Table 1 (see Appendix) is about 8% (bearings 301230-A and T7FC095) while the average absolute error is just 4%. Errors of the same order of magnitude were calculated by Dragoni [21] for the static load rating of the same bearings listed in Table 1.…”
Section: Constrained Optimizationmentioning
confidence: 88%
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