Abstract

In industry, today’s approach to assembly design is still largely based on a bottom-up approach which, in contrast with the most advanced top-down techniques, is unfit to deal with very large and complex products. The reason for this lies in the high number of relationships to be established between parts and in the lack of a high-level control of the assembly design. This makes the management of design changes a labor-intensive process and the capture of design intent difficult to achieve. The paper, referring to the most advanced research fields of Concurrent Engineering and Knowledge-Based Engineering, focuses on a top-down modelling approach based on skeleton, which constitutes the most natural but still scarcely exploited way to attain a high reactivity to design modifications. Through the application of suitable methodologies, such as that one for a SKeLeton geometry–based Assembly Context Definition (SKL-ACD), the skeleton is also able to capture and codify assembly process engineering information since the early phases of the product development process. With the purpose of promoting the knowledge of these skeleton-based modelling techniques, that have a great relevance for training professional, technical and mechanical engineers, this paper implements the SKL-ACD methodology to an industrial case study in order to identify, with a unique and repeatable workflow, the reference geometrical entities and the mutual relationships to embed into the product skeleton. The skeleton types and the related fields of use are also described, placing particular emphasis on problems or shortcomings still not resolved, especially in consideration of the need to assist the designer in defining the impact of a parameter on assembly modification and in avoiding loops while defining formulas. A new tool, in the form of a multilayer graph, is finally proposed that is able to display and differentiate clearly the formulas, the design parameters and the impact of their modification on skeleton entities and members of the assembly.

Highlights

  • The design process today is influenced by the need for better, less expensive, and faster-to-market products

  • In order to promote the use of skeleton-based modelling techniques able to integrate the knowledge coming from the downstream phases of the development process, this paper first describes the main steps of the SKeLeton geometry–based Assembly Context Definition (SKL-ACD) methodology through the implementation of a simple case study that allows students to understand the design issues involved

  • This paper describes them by underlining the related fields of use and placing particular emphasis on open issues or shortcomings still not resolved, especially in consideration of the need to assist the designer in defining the impact of a parameter on product design and in avoiding loops while defining formulas

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Summary

Introduction

The design process today is influenced by the need for better, less expensive, and faster-to-market products. In order to promote the use of skeleton-based modelling techniques able to integrate the knowledge coming from the downstream phases of the development process, this paper first describes the main steps of the SKL-ACD methodology through the implementation of a simple case study that allows students to understand the design issues involved. The geometric model of the skeleton emerges from this graph through the CAD modelling of the afore-mentioned geometric entities and of the mutual geometric relationships With these data, the skeleton incorporates a set of parameters so that the CAD model of the pipe bundle cleaner is able of acting as master model for a whole family of products, reducing both repetitive tasks for the designer and time to market for the company. The other 4 (in green), directly related to geometrical relations between the skeleton entities, are kinematic parameters representing the actual degrees of freedom (DOF) of the machine

CAD techniques for skeletonbased modelling approach
CAD tools for visualization and management of product parametrization
Conclusion
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