CAE Analysis Technology for Development Design Utilizing Statistical Sciences

Abstract

Abstract:In this paper, consideration is given to the validity of "statistical science", which is necessary for innovation of the development designing process, for use in a new issue involving numerical simulation technology (CAE) in development designing. This new application of statistical science is designed to aid the transition from the "prototype / experimental based real machine evaluation method" to the "prediction evaluation method based on highly reliable CAE analysis." More specifically, concrete examples of "statistical science study cases that contributed to CAE analysis" from automotive manufacturers are examined from the standpoint of "statistical science contributing to design science". This was done so as to propose the "highly reliable CAE analysis system approach method" that contributes to the process innovation of development designing.

Establishment Of Highly Precise CAE Analysis Model Using Automotive Bolts

“…As seen in the figure, first, the (A) actual vehicle and experiment (meaning bench evaluation tests using actual vehicles and parts) visualizes the dynamic behavior (tricky mechanism) of the problems. Next, by means of the (B) factorial analysis in which the unique technology and empirical technology are combined together with N7, RE, MA, and DE, the latent factors, which induce oil leakage, are investigated using actual vehicles and experiment procedures in an effort to clarify the mechanism (Yamaji and Amasaka 2008).…”

“…Amidst the rapidly changing management technology situation and worldwide quality competition, it is now imperative for automobile manufacturers to take the initiative in offering highly reliable leading-edge products to enhance customer value if they are to prevail in the global market. Specifically, it is considered necessary to change over from conventional repetitive evaluation-based development involving a prototyping and testing process (confirmation of actual products for improvement) to predictive evaluation-based methods employing CAE (Computer-Aided Engineering), which is capable of accurately producing equivalent evaluations through statistical simulation (Amasaka,2007a, 2008: Yamaji and Amasaka, 2008: Ueno, et al, 2009. Thus, in this paper, the authors propose a model for a highly precise CAE analysis approach, which is intended to contribute to the regeneration of development and design.…”

AN INTEGRATED INTELLIGENCE DEVELOPMENT DESIGN CAE MODEL UTILIZING NEW JIT: APPLICATION TO AUTOMOTIVE HIGH RELIABILITY ASSURANCE

“…2 More specifically, it is increasingly vital to realize the "simultaneous achievement of QCD" that satisfies the requirements of developing and producing high quality products, while also reducing the cost and development period through the incorporation of the latest simulation technology "CAE" and statistical science called SQC (Statistical Quality Control). 5,6 In the vehicle development process employed in the past, after completing the designing process, problem detection and improvement were repeated mainly through the process of prototyping, testing, and evaluation.…”

“…As a good example of CAE utilization, attention was focused on the effectiveness of "SQC Technical Methods such as, N7 (New Seven Tools), RE (Reliability), SQC (Statistical Quality Control), MA (Multivariate Analysis), and DE (Design of Experiments)". 5,13 These are capable of taking a functional approach to variable factor analysis of the real machine (actual vehicle) testing data and then feeding it back to the CAE analysis software through a deductive methodology in order to derive general solutions.…”