New Hybrid AD Methodology for Minimizing the Total Amount of Information Content: A Case Study of Rehabilitation Robot Design

Abstract

Converting customer needs into specific forms and providing consumers with services are crucial in product design. Currently, conversion is no longer difficult due to the development of modern technology, and various measures can be applied for product realization, thus increasing the complexity of analysis and evaluation in the design process. The focus of the design process has thus shifted from problem solving to minimizing the total amount of information content. This paper presents a New Hybrid Axiomatic Design (AD) Methodology based on iteratively matching and merging design parameters that meet the independence axiom and attribute constraints by applying trimming technology, the ideal final results, and technology evolution theory. The proposed method minimizes the total amount of information content and improves the design quality. Finally, a case study of a rehabilitation robot design for hemiplegic patients is presented. The results indicate that the iterative matching and merging of related attributes can minimize the total amount of information content, reduce the cost, and improve design efficiency. Additionally, evolutionary technology prediction can ensure product novelty and improve market competitiveness. The methodology provides an excellent way to design a new (or improved) product.

Product Design Scheme Generation and Optimization Decisions While Considering Remanufacturability

“…Axiomatic design, a hot spot in the field of design, provides a scientific basis and principal guidance for product design. Yang et al [7] proposed a hybrid axiomatic design method of iterative matching to satisfy independent axioms and attribute constraints. This method could minimize the informa-tion requirement and improve the design quality.…”

An innovative design of mega shaft boring machine (SBM) cutterhead based on TRIZ and AD theory

“…Li et al 23 proposed a design method integrating AD, TRIZ, and Module-based Reasoning for product design under an incomplete information environment, by calculating the similarities of new product attributes between the new modules and the existing modules, the identical modules are reused, while the non-identical modules are redesigned using AD and TRIZ. Yang et al 24 proposed a hybrid design method based on Iterative Matching, TRIZ tools such as Trimming Technology, the Ideal Final Results (IFR), and Technology Evolution Theory, to improve the traditional Axiomatic Design theory, and the best design scheme with the lowest amount of information content is obtained. Wu et al 25 proposed a new synergistic approach based on AD, TRIZ, Fuzzy and Grey relational analysis, the coupling problem of the axiomatic design matrix is solved by using the Invention Principle, Physical Contradiction and Separation Principle, Standard Solutions, and other TRIZ tools, the Grey-Fuzzy Information Axiom is adopted to deal with multiple attributes and complicated alternatives in the framework.…”

“…Artificial intelligence technology provides convenience for designers to quickly explore solutions, 30,31 but human factors may still affect the outcome evaluation. 21 Other studies pay more attention to the detailed scheme design and evaluation of new product schemes, 24,25 but the functional requirements of product are mainly planned based on the designers’ knowledge. However, in the process of new product development, the scheme design must go through three vital stages: creative design, detailed design and scheme evaluation.…”

Combination Strategy of Dynamic Obstacle-Avoidance and Autonomous Tracking for Hazardous Gases Inspection Robot in Man-Machine Environment

“…With the development of robots, in factories, buildings and even homes more and more robots can be seen in the court. Among them, mobile robot has become the focus of scholars at home and abroad [1][2][3].…”