Essential Parameters for Optimizing Conical Journal-Bearing Performance

Abstract

A conical journal bearing (CJB) is a type of bearing with a tapered, conical shape that supports a rotating shaft, providing both radial and axial support. Its design allows for better load distribution and alignment compared to cylindrical bearings, making it suitable for specific applications where combined loads are present. Numerous factors, including lubrication, load capacity, bearing material, operating speed, clearance, and friction, affect the way CJBs work. These factors determine the efficiency, durability, and overall functionality of the bearing under different operational conditions. Finite element analysis (FEA) helps evaluate CJB performance by simulating stress and strain distributions, thermal behavior, and deformation under various loads. It also models lubrication flow, providing insights into how lubrication quality and distribution impact performance. This comprehensive analysis aids in optimizing bearing design and predicting failure points. The results of FEA in evaluating CJB performance reveal detailed stress and strain distributions, identify potential failure points, and predict thermal behavior under various load conditions. FEA also provides insights into deformation and lubrication flow, helping to optimize bearing design for improved load capacity, reduced friction, and enhanced durability. These findings enable engineers to make data-driven decisions to enhance bearing performance and reliability.