A Study on Robust Air Induction Snorkel Volume Velocity Prediction Using DFSS Approach

Paper #:
  • 2016-01-0480

Published:
  • 2016-04-05
DOI:
  • 10.4271/2016-01-0480
Citation:
Zhang, W., Likich, M., Lynch, M., and White, J., "A Study on Robust Air Induction Snorkel Volume Velocity Prediction Using DFSS Approach," SAE Technical Paper 2016-01-0480, 2016, https://doi.org/10.4271/2016-01-0480.
Pages:
6
Abstract:
The noise radiated from the snorkel of an air induction system (AIS) can be a major noise source to the vehicle interior noise. This noise source is typically quantified as the snorkel volume velocity which is directly related to vehicle interior noise through the vehicle noise transfer function. It is important to predict the snorkel volume velocity robustly at the early design stage for the AIS development.Design For Six Sigma (DFSS) is an engineering approach that supports the new product development process. The IDDOV (Identify-Define-Develop-Optimize-Verify) method is a DFSS approach which can be used for creating innovative, low cost and trouble free products on significant short schedules. In this paper, an IDD project which is one type of DFSS project using IDDOV method is presented on developing a robust simulation process to predict the AIS snorkel volume velocity. First, the IDDOV method is overviewed and the innovative tools in each phase of IDDOV are introduced. Then, the major work of three phases of the IDD project is presented. Particularly, in the “Identify” phase, the importance of accounting the vehicle noise transfer function effect on snorkel airborne source noise is described. In the “Develop” phase, the different methods to quantify the snorkel volume velocity are compared. Finally, the robust and improved simulation process is recommended and some conclusions are drawn based on this study.
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