Fatigue Strength Simulation Analysis of Heavy Truck Diesel Engine Crankshafts for Long-Distance Biofuel Transport Applications

Abstract

Crankshaft fatigue strength analysis is essential for the reliability of heavy trucks engaged in long-distance biofuel transport, a critical aspect of sustainable biotechnological supply chains. Traditional analysis models often yield large discrepancies in fatigue strength results due to modeling inaccuracies. This paper proposes an advanced fatigue strength simulation analysis of heavy truck diesel engine crankshafts tailored to the unique demands of long-haul operations. Utilizing the finite element analysis (FEA) method, this study delves deep into the dynamics of diesel engine crankshafts under prolonged driving conditions. To enhance the simulation's realism, a specific boundary condition loading method is developed prior to executing FEA. This is integrated with the dynamic differential equations of the finite element scheme and the applied load calculations to construct a robust finite element fatigue strength analysis model. The effectiveness of this approach is quantified through the fatigue safety factor, with simulation results demonstrating that the minimum fatigue safety factors obtained are significantly closer to actual values compared to traditional methods. This method achieves a reduction in error of 75% to 86% over conventional fatigue strength analysis techniques, offering a more accurate and reliable tool for optimizing the design and maintenance of crankshafts in the biotechnology industry's logistics sector.