Functional requirements and conceptual design of the Feature-Based Modelling System

1988 ◽  
Vol 5 (1) ◽  
pp. 9 ◽  
Author(s):  
Jami J. Shah ◽  
Mary T. Rogers
2010 ◽  
Vol 44-47 ◽  
pp. 1449-1454 ◽  
Author(s):  
Peng Fei Zhao ◽  
Yi Zhang ◽  
Zong Bin Li ◽  
Xiao Yang Yuan

To solve the problem of anticorrosion design in early stage of manufacture, a formal method of anticorrosion design was proposed, and a formal model of conceptual design of anticorrosive materials was established by using hierarchical structure, individual color sets and unified color sets. Basing on the reasoning matrices which were established by using polychromatic sets theory, a formal reasoning method was proposed to realize the formal reasoning from the functional requirements to the selection of final scheme. This formal method of conceptual design for anticorrosion based on the polychromatic sets can make the design process of anticorrosion standardized, and facilitate the formal description of the reasoning process and its expression and operation in computer. The method made some useful explorationfor the CAPP integration design of anticorrosion.


2012 ◽  
Vol 271-272 ◽  
pp. 974-980 ◽  
Author(s):  
Pai Zheng ◽  
Víctor Hugo Torres ◽  
José Ríos ◽  
Gang Zhao

The design process comprises the Conceptual Phase, the Embodiment Phase and the Detail Design Phase in which commercial PLM/CAD systems mainly support the latter ones. This situation causes the discontinuity in the overall design information flow: Customer Needs (CNs) - Functional Requirements (FRs) – Design Parameters (DPs) – Key Characteristics (KCs) – Geometric Parameters (GPs). There is also a lack of knowledge reuse in routine design process, resulting in large cost-waste of the overall design process. Aiming to enhance the continuity of the design information flow and facilitate the knowledge reuse, this paper makes use of a knowledge-based framework to integrate conceptual design tools: Quality Function Deployment (QFD), Axiomatic Design (AD), Failure Mode and Effects Analysis (FMEA) and the MOKA methodology into CATIA v5 system. A knowledge-based application (KBA) on the large aircraft y-bolt component design is presented as a case study to validate the proposed framework. The result shows how this novel integrated framework and KBA system could benefit designers in a practical way.


2021 ◽  
Author(s):  
Saptarshi Datta

A parametric, concurrent design methodology for manufacturing of metallic and composite structures is established. Often, during a new product development, designs prepared using the “Sequential” or “Waterfall” approach are rejected or require significant rework during manufacturing, as designers are not always versed with manufacturing principles. Similarly, manufacturers are not always versed in design principles resulting in designs that do not cater to the functional requirements. The goal of this study is to establish a methodology right from the scope to the detailed design for developing manufacturable structures using the “Concurrent Engineering” approach. Existing literature on “Design Optimization for Manufacturing” predominantly focus on single variable optimization problems geared towards conceptual designs. The designs developed through such optimization cater towards functional performance within a “Fixed Design Space” while not accounting for manufacturing or operational challenges. The methodology developed in this study enables “Design for Manufacturing” for “Detailed Designs” through selection of a conceptual design and subsequently optimizing the selected conceptual design for a set of functional parameters. An “Integrated Product Development” approach is used, whereby, the functional requirements are linked to both design and manufacturing variables and optimization is conducted in an “Augmented Design Space” which is not available when only considering design or manufacturing variables. Three case studies involving both “Conceptual” and “Detailed” designs have been used to illustrate the methodology presented. Case I documents the design of a Flight Control System Bracket. Case II illustrates the use of “2D” composite structures to fabricate a roll frame. Case III involves the development of a “3D” composite door for a light unpressurized aircraft. For each of the three case studies a separate development approach has been employed. Case I uses an analytical approach, Case II uses FEM while CASE III employs a hybrid approach comprising of both FEM and analytical techniques.


Author(s):  
Kenji Iino ◽  
Yotaro Hatamura

Collecting design error or failure information in a database (FKDB: Failure Knowledge Database) gives an organization an effective place for designers to study and learn past events so they will not repeat the same mistakes in their own design. When a designer makes an error, however, he had not foreseen the mistake at all. Once made, the error may seem trivial and even predictable, however, at the time of design, the problem and facts that surround the error are completely concealed from the designers mind. The designer, therefore, has no intention to look at past failure information that relate to the error he is repeating at the time of his design. This often makes the FKDB, despite of all the efforts in collecting the information it holds, a mere collection of past failure cases waiting for its passive use; the designer may occasionally look it up for the purpose of general study. A group of people including one of the authors, in the past, developed a conceptual design tool, Creative Design Engine (CDE) that helps the designer by displaying mechanisms, machines, sub-assemblies, and related information that realize functional requirements that the designer wants to accomplish. The tool effectively brings the designer’s consciousness to ideas new to him or something that escaped his mind at the time of conceptual design. We analyzed this tool and laid out the modifications necessary so that it not only displays design solutions and alternative options to the designer but also gives warnings to the designer about design error he is about to make during conceptual design. The application will constantly monitor the designer’s intention to compare it to known failures in the FKDB.


2019 ◽  
Vol 301 ◽  
pp. 00001
Author(s):  
Kenji Iino ◽  
Masayuki Nakao

The authors have been teaching conceptual design courses to graduate schools and adult groups. Despite the instructors’ encouragement to refine a design to a level that clarifies the elemental functional requirement for each part element, the students often lump elemental functional requirements into higher level functions. The resulting Design Record Graph shows a functional requirement with multiple arcs extending to the corresponding nodes in the design parameter space. When such a design maps to a Design Matrix in Axiomatic Design, the matrix turns into a rectangular one with non-diagonal elements. Instead of just speaking to the students that they will face difficulty when it comes to producing prototypes, the authors developed a metric that quantifies the level of detail of a design so the students, often driven to gain higher numerical scores, will naturally spend efforts to refine their designs to levels that are ready for building prototypes. We call this metric Level of Readiness Index, i.e., LOR Index.


Author(s):  
Szu-Hung Lee ◽  
Pingfei Jiang ◽  
Peter R. N. Childs ◽  
Keith Gilroy

A study on utilising a graphical interface to represent movement transmission within products has been conducted to support a creative conceptual design process that separates the consideration of functional requirements and motion requirements. In engineering design, many representations of product structure have been proposed to assist in understanding how a design is constituted. However, most of these representations demonstrate only functions and are not able to demonstrate design structure. Functional Analysis Diagrams (FAD) provides a solution for this. An FAD shows not only functions but also physical elements by the network of blocks and arrows and thus it is capable of demonstrating various types of information and the design scheme. This characteristic gives FADs an advantage for designers to combine different types of information including useful and harmful interactions to gain an overview of the design task. This study focuses on using circles instead of arrows to represent movement attributes of mechanisms and machine elements in a Kinematic Functional Analysis Diagram (KFAD) and explores methods of utilising it in mechanical design. A commercial case study of medical equipment design conducted with the assistance of KFADs and a component database, mechanism and machine elements taxonomy (MMET), is described to illustrate the process. The design outcome shows that it is feasible to follow the proposed conceptual design process. With the help of KFADs and the machine elements taxonomy to enable consideration of movements, diverse considerations and design solutions are possible.


2017 ◽  
Author(s):  
Melani Sukirman ◽  
Pringgo Widyo Laksono ◽  
Ilham Priadythama ◽  
Susy Susmartini ◽  
Bambang Suhardi

Author(s):  
Ari Heikkinen ◽  
Tapio Korpela ◽  
Tatu Leinonen

Abstract The Laboratory of Machine Design of the University of Oulu has defined and implemented a design and manufacturing system for a gear manufacturer in co-operation with the company’s own staff. The parts of gear train, such as shafts and gear wheels, are designed by an application program included in a two-dimensional system and the gear housing is designed by a commercial three-dimensional feature-based system. A shaft design and manufacturing system has been discussed in previous papers produced in connection with this project (Korpela, T., et al. 1995, Heikkinen, A., et al. 1996). The tool used for gear housing design and manufacturing have been tested during the past year, and experiences with this CAD system are recounted here. It has been found that the design features which implement the functional requirements of gear construction are different from the features which support the manufacturing processes.


2005 ◽  
Vol 127 (1) ◽  
pp. 104-115 ◽  
Author(s):  
Li Chen ◽  
Fengfeng (Jeff) Xi ◽  
Ashish Macwan

Presented in this paper is a feature-based method for selecting an optimal (minimum yet sufficient) set of modules necessary to form a reconfigurable machine tool for producing a part family. This method consists of two parts. In the first part, a feature-module database is created to form a selection space, where the machinable geometric features identified in STEP are defined as functional requirements (FR’s) and the structural component modules derived from the conventional machine tools as design parameters (DP’s). An inner FR-to-DP mapping mechanism within the database is based on the “Membership Grade Matrix,” which defines metrics to quantify the degree of association between a FR and a DP. Within the confines of the selection space built upon this FR-DP database, the second part of the method involves a two-step procedure for module selection. The first step is to select the modules from this space to construct all the required individual configurations of the reconfigurable machine tool. The second step is to maximize the number of common modules among the originally selected modules through re-selection. A case study on designing a reconfigurable machine tool dedicated to a given family of die molds is conducted and discussed.


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