Identification of Automotive Cabin Design Parameters to Increase Electric Vehicles Range, Coupling CFD-Thermal Analyses with Design for Six Sigma Approach

2020 ◽  
Author(s):  
Andrea Alessandro Piovano ◽  
Giuseppe Scantamburlo ◽  
Massimo Quaglino ◽  
Matteo Gautero
Keyword(s):  
Electric Vehicles ◽  
Six Sigma ◽  
Thermal Analyses ◽  
Design Parameters ◽  
Design For Six Sigma ◽  
Six Sigma Approach

scholarly journals Design for Six Sigma: Approach for reliability and low-cost manufacturing

2017 ◽  
Vol 9 (18) ◽  
Author(s):  
Jesús Gerardo Cruz Álvarez
Keyword(s):  
Product Development ◽  
New Product Development ◽  
Six Sigma ◽  
Low Cost ◽  
Cost Effective ◽  
New Product ◽  
Quality Cost ◽  
Design For Six Sigma ◽  
Low Cost Manufacturing ◽  
Six Sigma Approach

Abstract. The aim of this study is to discuss new product development based on a traditional stage-gate process and to examine how new product development [NPD] tools, such as lean design for Six Sigma, can accelerate the achievement of the main goals of NPD: reliable product quality, cost-effective implementation, and desired time-to-market. These new tools must be incorporated into a new approach to NPD based on the Advanced Product and Quality Planning methodology.Keywords: analysis of variance (ANOVA), design for Six Sigma, DMAIC, industrialexperimentation, robust designResumen. El objetivo de la presente investigación es la promoción de una discusión teórica y practica sobre el enfoque tradicional de lanzamiento de nuevos productos bajo la metodología por fases. Una revisión a profundidad cómo las nuevas herramientas del desarrollo de nuevos productos en lo particular el diseño para seis sigma puede acelerar el tiempo de respuesta al mercado de forma exitosa y a una relación atractiva de costo – beneficio. Las nuevas herramientas pueden ser incorporadas dentro de la estrategia dedesarrollo de nuevos productos bajo el enfoque de planeación avanzada de la calidad de nuevos productos.Palabras clave: análisis de varianza, diseño para seis sigma, diseño robusto,experimentación industrial, metodología DMAIC

A Six Sigma Approach to Improving Exhaust Valve Reliability in a Stoichiometric Natural Gas Engine

2009 ◽  
Author(s):  
Mike Feldner
Keyword(s):  
Six Sigma ◽  
Material Selection ◽  
Evaluation Methodology ◽  
Design Parameters ◽  
Test Time ◽  
Improvement Project ◽  
Box Plots ◽  
Product Engineering ◽  
Exhaust Valves ◽  
Six Sigma Approach

Six-sigma is a data-based problem solving methodology that is used to reduce production variation in order to improve product quality. It has typically been used by successful companies to optimize operational processes and assist with waste reduction. Over the past several years, Dresser Waukesha has incorporated Six-sigma tools into several different areas of product engineering. This paper will illustrate how Dresser Waukesha has used Six-sigma tools to assist with product design and validation processes for reliability improvements of exhaust valves. Several specific examples of Six-sigma tools will be provided as the improvement project follows the DMAIC process. The scope of this discussion will be limited to using Six-sigma tools in the measure, analyze and improve phases of the project, where product engineering is most involved. In the measure phase, design of effective ratings charts that transform subjective visual assessments into quantifiable data for purposes of evaluating the effects of specific design parameters on critical wear metrics will be shown. Also, gauge repeatability & reproducibility for precise wear measurements will be discussed. During the analyze phase, the use of box plots, design of experiments tools and ANOVA statistical analyses for material selection, valve guide length and stem clearance determination will be explained. During the improve phase, an example of using the Pugh Matrix to compare different analytical concepts will be provided. Finally, an evaluation methodology that uses statistical capability analyses instead of traditional analyses of individual valve wear to validate long-term reliability and to minimize required test time will be explained.

Sign in / Sign up

Export Citation Format

Share Document