High-Fidelity Numerical Modeling of Spark Plug Erosion

2019-01-0215

04/02/2019

Event
WCX SAE World Congress Experience
Authors Abstract
Content
Spark plug erosion is critical in determining the overall efficiency of a spark ignition engine. Over its lifetime, a spark plug is subject to millions of firings. Each spark event results in material erosion due to several mechanisms such as melting, vaporization, sputtering and oxidation. With electrode wear, the inter-electrode spacing increases and a larger voltage difference is required to initiate the spark. The probability of engine misfires also increases with electrode erosion. Once a critical gap is reached, the energy in the ignition coil is not enough to cause a spark breakdown, and the spark plug must be replaced. Due to the long relevant time scales over which erosion occurs, and the difficulty of analyzing the spark plug environment during operation, determining spark plug lifetime typically requires extensive field testing. A high fidelity commercial thermal plasma solver, VizSpark is used simulate electrode erosion due to spark events. The model preserves key arc physics such as current conservation, conjugate heat transfer, fluid flow and electrode ablation. The solution framework includes the capability of coupling high fidelity arc physics with a dynamically deforming spark-plug electrode. A phenomenological model for electrode erosion based on energy is derived from prior experimental work on single-pulse electrode erosion. The energy-based electrode erode model is validated against experimental results, and 3-D electrode erosion simulations in stationary and cross-flow were performed.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-0215
Pages
12
Citation
Breden, D., Karpatne, A., Suzuki, K., and Raja, L., "High-Fidelity Numerical Modeling of Spark Plug Erosion," SAE Technical Paper 2019-01-0215, 2019, https://doi.org/10.4271/2019-01-0215.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-0215
Content Type
Technical Paper
Language
English