Vinculación de TRIZ con el diseño funcional

Ponencia presentada en el XI Congreso Internacional de Ingeniería de Proyectos celebrado en Lugo en el año 2007The use of TRIZ tools in Computer Aided Inventing (CAI) is current hot topic. The Integration TRIZ in synthesis computational models has been the study object of many researchers. While there exist a large number of studies discussing a theoretical way to integrate TRIZ creativity with semantic knowledge in order to provide assistance in the design phase, few researches have sought to put a model into practice. Several studies describe proposals of CAI models based on the architecture of a system from the TRIZ viewpoint, as well as proposals to allow its integration through topological optimization systems. The present study aims to go a step further than previous attempts to combine existing TRIZ software with Knowledge Based Engineering (KBE) semantic tools. The purpose of our work is to establish a relation between generic taxonomies of engineering functions and flows and TRIZ taxonomies as a first step in the creation of a library of TRIZ-based algorithms for generating and evaluating solutions that consider the product lifecycle. This library should also allow its integration into a KBE system through a Function-Behaviour-Structure (FBS) framework.El uso de herramientas de TRIZ en Invención Asistida por Ordenador (Computer Aided Inventing, CAI) es un tema de máxima actualidad. La integración de TRIZ en modelos de síntesis computacional ha sido objeto de estudio de diversos investigadores. Mientras que la mayor parte de estos estudios discuten la forma de integrar la creatividad de TRIZ con el conocimiento semántico de un modo teórico con la finalidad de asistir en la fase de diseño, muy pocas investigaciones han intentado poner dichos modelos en práctica. Varios estudios describen propuestas de un modelo CAI basado en la arquitectura de un sistema desde el punto de vista de TRIZ, así como propuestas para permitir su integración a través de sistemas de optimización topológica. El presente estudio pretende ir un paso más allá de los intentos previos para combinar el software existente de TRIZ con las herramientas semánticas de la Ingeniería Basada en el Conocimiento (Knowledge Based Engineering, KBE). El propósito de el presente trabajo es el de establecer una relación entre las taxonomías genéricas de funciones y flujos de ingeniería y las taxonomías de TRIZ como primer paso en la creación de una librería de algoritmos basados en TRIZ para generar y evaluar soluciones que tomen en consideración el ciclo de vida del producto, y que al mismo tiempo permita ser integrada en un sistema KBE a través de un marco Función-Comportamiento-Estructura (Function-Behaviour-Structure, FBS)

Estudio sobre las herramientas de TRIZ para determinar su utilidad en la automatización con el diseño funcional

Ponencia presentada en el XIII Congreso Internacional de Ingeniería de Proyectos celebrado en Badajoz , 8-10 de julio de 2009TRIZ is the Russian acronym for the Theory of Inventive Problem Solving (TIPS). It emerges from the study of hundreds of thousands patents, and it consists on a set of model-based tools for idea and innovation solutions generation, in order to solve problems. These tools have a creative and innovative potential that can be used for designers by means of Computer Aided Inventing (CAI) tools. The present work shows a study over different TRIZ tools and their capacity to be automated in design process, through a Knowledge Based System (KBS) based on the Behaviour-driven Function-Environment-Structure (B-FES) framework, and aided by NIST functional basis and B-Cube model terminologies.TRIZ, acrónimo ruso para la Teoría de Resolución de Problemas Inventivos, surge del estudio de cientos de miles de patentes y consiste en un conjunto de herramientas basadas en modelos para la generación de ideas y soluciones innovadoras para resolver problemas. Estas herramientas contienen un potencial creativo e innovador que puede ser aprovechado por los diseñadores a través de las herramientas de invención asistida por ordenador, CAI (Computer Aided Inventing). El presente trabajo presenta un estudio sobre diferentes herramientas de TRIZ y su capacidad para lograr su automatización en el proceso de diseño, a través de la vinculación con un KBS (Knowledge Based System) basado en el esquema B-FES (Behaviour-driven Function-Environment-Structure), auxiliado de las terminologías de las functional basis del NIST y del modelo B-Cube

Innovation through pertinent patents research based on physical phenomena involved

One can find innovative solutions to complex industrial problems by looking for knowledge in patents. Traditional search using keywords in databases of patents has been widely used. Currently, different computational methods that limit human intervention have been developed. We aim to define a method to improve the search for relevant patents in order to solve industrial problems and specifically to deduce evolution opportunities. The non-automatic, semi-automatic, and automatic search methods use keywords. For a detailed keyword search, we propose as a basis the functional decomposition and the analysis of the physical phenomena involved in the achievement of the function to fulfill. The search for solutions to design a bi-phasic separator in deep offshore shows the method presented in this paper

Towards multidisciplinary support tools for innovation tasks

This paper highlights the imperative need for innovation and characterizes a promising support tool to stimulate this process. The importance of innovation for both a global economy and specifically for engineering education is discussed. Additionally, the urgency for multidisciplinary skills for inventors is rationalized. Our ongoing research developments of automated function modeling based on CAD models is presented. The layout of an innovation support tool integrating CAD, function and math-based models is presented enabling innovators to perform multidisciplinary conceptual design studies more quickly. In a case study, the tool's efficiency and effectiveness are demonstrated especially for displaying state changes of the Function Model

Knowledge based Approach for Formulating TRIZ Contradictions

AbstractThe article presents how to innovate a product using information extraction from patents literature to identify and overcome TRIZ contradictions. Each initial inventive situation has to be formulated in terms of contradictions in order to use the most effective tool for problem solving provided by the TRIZ theory.The authors propose, (1) an algorithm guiding the user to move from an indefinite problem situation to obtain a clearer problem formulation, following a process inspired to the ARIZ approach for fixing physical contradictions, and (2) some strategies and tools for selecting, acquiring and finally modeling the necessary information to improve the effectiveness in building the contradiction model.All those strategies have been implemented in a knowledge management tool called KOM, working as an automatic patent searching engine based on a functional oriented search. An exemplary application is presented to explain how KOM is integrated in the problem definition process

Identifying patent conflicts: TRIZ-Led patent mapping

This paper presents a novel method of patent mapping for visualising conflicts between patent claims that incorporates the Theory of Inventive Problem Solving (TRIZ). The method uses TRIZ engineering parameters as the criteria for evaluating dissimilarities between patent claims, producing a visualisation based on Multi-Dimensional Scaling (MDS) that can be compared with legal judgments. The advantages of the method are that it (a) reduces evaluation complexity by transforming claim-to-claim comparisons into claim-to-criteria comparisons, and (b) provides a means of comparing judgment standards between different legal authorities in mechanical engineering terms. Reliability and validity of the method are tested through focus groups using a case study on aircraft seats. The scope of the method is limited to the field of mechanical inventions

Patent Data for Engineering Design: A Critical Review and Future Directions

Patent data have long been used for engineering design research because of its large and expanding size, and widely varying massive amount of design information contained in patents. Recent advances in artificial intelligence and data science present unprecedented opportunities to develop data-driven design methods and tools, as well as advance design science, using the patent database. Herein, we survey and categorize the patent-for-design literature based on its contributions to design theories, methods, tools, and strategies, as well as the types of patent data and data-driven methods used in respective studies. Our review highlights promising future research directions in patent data-driven design research and practice.Comment: Accepted by JCIS

B-CUBE

Ponencia presentada en el XII Congreso Internacional de Ingeniería de Proyectos celebrado en Zaragoza en el año 2008The terms Function, Behaviour, Structure have been used since the 1990s in order to define a framework where a system’s functionality can be modelled and represented: the FBS framework. Within this framework, Function represents the functions of the system, Structure represents the physical elements, and Behaviour acts relating them both. Several common deficiencies have been found from the study of several works carried out on the field of functional design, such as the lack of an integrated approach or a stable conceptual framework. Likewise, it has been proven that the process of functional design automation exhibits problems as well with regard to taxonomies or linking to CAI (Computer Aided Inventing) programs. Moreover, subjectivity from the designer when he interprets the behaviours need to be considered. In this article we present a new approach to functional design through FBS framework, able to solve, a priori, the aforementioned problems. This approach, called B-Cube, proposes a three dimensional scheme that uses definitions as Behaviours concepts. The key of this approach is that a Behaviour is not defined with a word or a taxon, which could cause ambiguity and misinterpretation, but rather defined as a three dimensional vector (X, Y, Z), set by its characteristics and qualities.Los términos Function, Behaviour, Structure han sido utilizados desde los años 90 para definir un marco donde modelar y representar la funcionalidad de un sistema, el marco FBS. En este marco, Function representa las funciones del sistema, Structure los elementos físicos y Behaviour actúa relacionando los dos anteriores. Del estudio de diversos trabajos realizados en el campo del diseño funcional se observan carencias comunes, como son la falta de un enfoque integrado y de un esquema conceptual estable. Igualmente, se ha comprobado que su proceso de automatización también presenta problemas, en cuanto a taxonomías o vinculación a programas CAI (Computer Aided Inventing). Además, se debe considerar la subjetividad del diseñador al interpretar los Behaviours. Este artículo presenta un nuevo enfoque para el diseño funcional a través del marco FBS, capaz de solucionar, a priori, los problemas anteriormente citados. Dicho enfoque, denominado B-Cube, propone un planteamiento tridimensional que utiliza definiciones a modo de conceptos de los Behaviours. La clave de este planteamiento es que un comportamiento no queda definido por una palabra o taxón, hecho que puede dar pie a ambigüedades e interpretaciones erróneas, sino que el comportamiento viene definido como un vector tridimensional (X, Y, Z), determinado por sus características y cualidades

Natural Language Processing (NLP) – A Solution for Knowledge Extraction from Patent Unstructured Data

AbstractPatents are valuable source of knowledge and are extremely important for assisting engineers and decisions makers through the inventive process. This paper describes a new approach of automatic extraction of IDM (Inventive Design Method) related knowledge from patent documents. IDM derives from TRIZ, the theory of Inventive problem solving, which is largely based on patent's observation to theorize the act of inventing. Our method mainly consists in using natural language techniques (NLP) to match and extract knowledge relevant to IDM Ontology. The purpose of this paper is to investigate on the contribution of NLP techniques to effective knowledge extraction from patent documents. We propose in this paper to firstly report on progress made so far in data mining before describing our approach

HUMOR IS NECESSARY FOR INTENSIFICATION LEARNING CREATIVE TECHNOLOGIES IN ENGINEERING EDUCATION

The article reveals the possibilities of using joke and cartoon as didactic tools that are adequate to the goals of "mass-education" of teaching creative technologies, where the theory of solving inventive problems (TRIZ) is a prominent representative today. These forms of humor have a range of unique properties and are therefore suitable for teaching different categories of students creative thinking procedures at all levels of training and self-education. An original method has been created, the essence of which is to gradually transform an joke and caricature in the classroom from passive (illustrative-relaxation) didactic tools into active ones, which increase the motivation and success of students ' activities by increasing their instrumental knowledge and skills to change systems of any nature (this is knowledge of the meta-level-knowledge-transformation and system knowledge). Algorithmic procedures for using these forms of humor have been tested in the University environment and the post-graduate education system (including teacher training), as well as in business education (in industrial companies, research centers and laboratories). The effectiveness and efficiency of using these non-standard didactic tools has been confirmed