Design Readiness of Multi-Material Concepts: Manufacturing and Joining Technology Integrated Evaluation of Concept Maturity Levels Using Cardinal Coefficients

Abstract

Maturity levels of components in early phases of product development are often assessed with Technology Readiness Levels. However, developing Multi-Material-Design (MMD) concepts for lightweight design, not only the manufacturability of the individual components is decisive, but also their joinability with each other and their integration into the rest system. This paper presents an approach for the evaluation of maturity levels of MMD concepts on the basis of cardinal coefficients considering a time forecast of the manufacturing and joining technologies required in the concept.

Cardinal Maturity Determination of Technology Development: Medical Device Development Case Study

“…Many attempts have been made towards determining the cardinality of the system and facilitating the development of different concepts for active participation. One fairly advanced usage of the cardinal measure of this framework is utilized for determining the Design Readiness Level of concepts by Revfi et al (2020). This study formulates a similar framework set by Fahimian and Behdinan (2017) for the cardinal assessment of maturity.…”

A cluster‐based framework for interface analysis in large‐scale aerospace systems

“…Use of a Bayesian network and probability distributions may provide consistent and mathematically rigorous validation of the confidence level among experts on the IRL level, allowing a better perspective on the system integration risks. Cardinal coefficients for TRLs 37,38 based on the Analytic Hierarchy Process (AHP) have been used to characterize technology readiness level coefficients for design, which may improve the quality and accuracy of the CML metric and risk analysis. There is also an opportunity to explore the use of a fuzzy inference system (FIS) with a set of rules on how qualitative MOPs and MOEs are measured to an extent based on a combination of quantitative technical performance and qualitative measures.…”

“…Use of a Bayesian network and probability distributions may provide consistent and mathematically rigorous validation of the confidence level among experts on the IRL level, allowing a better perspective on the system integration risks. Cardinal coefficients for TRLs 37,38 based on the Analytic Hierarchy Process (AHP) have been used to characterize technology readiness level coefficients for design, which may improve the quality and accuracy of the CML metric and risk analysis.…”

Cardinal Wtrl: Technology Maturity, Schedule Slippage and Trend Forecasting.

“…Driven by the framework proposed by Fahimian and Behdinan (2015), Revfi et al (2020) and Behdinan (2020), this paper formulates an enhanced and novel approach to maturity evaluation. In addition, it assesses and correlates the maturity assessment output of the 7 NASA technologies documented by Piesen et al (1999).…”

“…In order to meet this need, Fahimian and Behdinan (2015) presented a framework for calculating the cardinal coefficients of 7 NASA Technologies using the maturation period data made accessible by Piesen et al (1999). The former framework was further extended towards the determination of Design Readiness Level (DRL) by Revfi et al (2020). The DRL later on presented by Behdinan (2020) is an emerging method which coalesces the influence of numerous correlated processes to determine the operational maturity of a technology.…”