Robust Engineering
In this work, the authors detail new approaches to manufacturing high-quality, low-cost products that can successfully compete in the global marketplace.
TABLE OF CONTENTS Robust Engineering
Chapter 3: Robust Engineering Process Formula
A CASE STUDY: OPTIMIZATION OF INTER-COOLER BY NISSAN MOTOR COMPANY
INTRODUCTION
In this chapter a case study will be discussed to illustrate the thought process and steps utilized to formulate and execute a Robust Engineering project. Nissan Motor Company conducted the case study on an inter-cooler in 1996.
The steps to formulate a Robust Engineering optimization are as follows.
Plan
| Step 1: | Define the scope of project. |
| Step 2: | Define the boundary of subsystem. |
| Step 3: | Define the input signal M and the output response y, and the ideal function. |
| Step 4: | Develop signal and noise strategies. |
| Step 5: | Define control factors and levels. |
| Step 6: | Formulate the experiment and prepare for the experiment. |
Do
| Step 7: | Conduct the experiment/ simulation and collect data. |
| Step 8: | Conduct data analysis. |
| Step 8-1: | Calculate signal-to-noise ratio and sensitivity for each run. |
| Step 8-2: | Generate a response table for S/N and sensitivity and study and interpret the response tables. |
| Step 8-3: | Conduct two-step optimization. |
| Step 8-4: | Make predictions. |
Check
| Step 9: | Conduct confirmation run and evaluate the reproducibility. |
Act
| Step 10: | Document and implement the result. |
| Step 11: | Plan the next step. |
INTER-COOLER ROBUST DESIGN OPTIMIZATION, NISSAN MOTOR COMPANY
Project Background
Automotive customers are becoming more and more sensitive to vehicle audible noises. The audible noise problem caused by the airflow through the intercooler used for a supercharger has become a critical issue. Traditional approaches to reduce audible noise have typically been ineffective and inefficient, and more important have resulted in a cost...
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