Numerical Approach to Simulate Automotive Heater Hose Slip-off using Statistical Analysis Tata Consultancy Services

Format:

Book

Conference/Event

Author/Creator:

Rathi, Sachin B., author.

Contributor:

Narayanan, Divaker

Prasad, Chandrashekar

Shrivastava, Abhinav

Conference Name:

Symposium on International Automotive Technology (2021-09-29 : Pune, India)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2021

Summary:

An automotive heater hose is a nylon-reinforced rubber component which has pressurized coolant flows from engine to HVAC and connected at either end using spring clamps. One of the important design failure modes to study is the coolant leakage during hose slip-off scenario that can lead to walk-home failures. Overall dimensional variations, assembly loads and part variations can lead to such scenarios which are crucial to investigate using statistical approach for the robust design. To establish this, an experimental setup was conducted, and an equivalent CAE model was developed using Abaqus Standard. The Finite Element model comprised of an engine union pipe, a rubber heater hose and a spring clamp on the engine side of the vehicle. A thin-wall cylinder theory was used to model the clamp force as equivalent pressure due to asymmetrical shape of the clamp. A suitable hyperelastic model for nylon-reinforced rubber and friction values were used to correctly represent the behavior of heater hose with adjoining steel components. The hose slip-off distance and contact shear force between hose and union pipe were monitored which would indicate if the designed clamp force was able to hold it on to the union pipe. A factorial design of experiment study was conducted to determine the sensitivity of the important design factors. The response surface generated from the regression model with 95% confidence level indicated that clamp force, union pipe outer diameter and Heater hose inner diameter were critical parameters. The Response Optimizer model thus developed from these critical parameters enables to reduce the computation time and quick decision making in minimizing the hose slip-off. The established method can also be used on similar hose pull out conditions in other areas of the automobile

Notes:

Vendor supplied data

Publisher Number:

2021-26-0380

Access Restriction:

Restricted for use by site license