The Computational Cost and Accuracy of Spray Droplet Collision Models ANSYS Incorporated

Format:

Book

Conference/Event

Author/Creator:

Agarwal, Agarwal, author.

Contributor:

Liang, Long

Meeks, Ellen

Naik, Chitralkumar

Wang, Yue

Conference Name:

WCX SAE World Congress Experience (2019-04-09 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2019

Summary:

AbstractThis study focuses on Lagrangian spray models that are commonly used in engine CFD simulations. In modeling sprays, droplet collision is one of the physical phenomena that must be accounted for. There are two main parts of droplet collision models for sprays - detecting colliding pairs of droplets and predicting the outcomes of these collisions. For the first part, we focus on the efficiency of the algorithm. We present an implementation of the arbitrary adaptive collision mesh model of Hou and Schmidt [1], and examine its efficiency in dealing with large simulations. Through theoretical analysis and numerical tests, we show that the computational cost of this model scales pseudo-linearly with respect to the number of parcels in the sprays. Regarding the second part, we examine the variations in existing phenomenological models used for predicting binary droplet collision outcomes. A quantitative accuracy metric is used to evaluate the models with respect to the experimental data set. To provide a holistic perspective, three different experimental datasets that contain over 2000 data points are collated, and used in the evaluation. These analyses show that the accuracy of the collision outcome prediction is between 65% to 70%, which indicates a need for future improvement

Notes:

Vendor supplied data

Publisher Number:

2019-01-0279

Access Restriction:

Restricted for use by site license