Stress calculation of crankshaft using artificial neural network

Conference · Sun Dec 31 00:00:00 EST 1995

OSTI ID:253626

Shiomi, Kazuyuki; Watanabe, Sei

A system that calculates the stress concentration factor of the crankpin fillet from six characteristic dimensions of the crankshaft was developed using an artificial neural network. The learning database was constructed based on the finite element analysis, and an ``adaptive transfer function algorithm`` was used for the learning calculations. The calculation errors of the stress concentration factors applied to crankshafts of small utility engines and outboard motors were found to be within {minus}6.9 to +6.3% of the measured values. With this system, designers can calculate the stress concentrated at crankpin fillets precisely in a short time.

• OSTI ID: 253626
• Report Number(s): CONF-950942-; ISBN 1-56091-673-7; TRN: IM9630%%77
• Resource Relation: Conference: Small engine technology conference and exposition, Milwaukee, WI (United States), 13-15 Sep 1995; Other Information: PBD: 1995; Related Information: Is Part Of Proceedings of the 1995 small engine technology conference: Small engines and the environment. P-292; PB: 497 p.
• Country of Publication: United States
• Language: English

Related Subjects

33 ADVANCED PROPULSION SYSTEMS
MECHANICAL SHAFTS
STRESS ANALYSIS
INTERNAL COMBUSTION ENGINES
STRESSES
CALCULATION METHODS
ARTIFICIAL INTELLIGENCE
COMPUTER CALCULATIONS