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Technical Paper

Concurrent Product and Process Design for Caterpillar Inboard Axles

1992-09-01
921661
Caterpillar's inboard brake and final drive axle responds to customers needs for a lifetime service brake removed from the often hostile environment encountered by exposed shoe-drum or caliper-disc brakes. A multi-disciplined team was assembled to select the single most appropriate axle configuration. That team was composed of members of the three worldwide facilities which would manufacture the axles. After selection of the configuration, the team approach was continued from development thru production. Concurrent product and process design was felt to be the most efficient way to provide the customer with an enclosed brake and to modernize our plants manufacturing operations. This paper will identify the methods used to develop a cost effective manufacturable axle. Working the product design and manufacturing process together provided for a more manufacturable axle, in a shorter time frame, with less start-up problems compared to the traditional approach.
Technical Paper

Control-Oriented Modeling of a Vehicle Drivetrain for Shuffle and Clunk Mitigation

2019-04-02
2019-01-0345
Flexibility and backlash of vehicle drivelines typically cause unwanted oscillations and noise, known as shuffle and clunk, during tip-in and tip-out events. Computationally efficient and accurate driveline models are necessary for the design and evaluation of torque shaping strategies to mitigate this shuffle and clunk. To accomplish these goals, this paper develops a full-order physics-based model and uses this model to develop a reduced-order model (ROM), which captures the main dynamics that influence the shuffle and clunk phenomena. The full-order model (FOM) comprises several components, including the engine as a torque generator, backlash elements as discontinuities, and propeller and axle shafts as compliant elements. This model is experimentally validated using the data collected from a Ford vehicle. The validation results indicate less than 1% error between the model and measured shuffle oscillation frequencies.
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