Abstract

Today, companies involved in product development in the “Industry 4.0” era, need to manage all the necessary information required in the product entire lifecycle, in order to optimize as much as possible the product-process integration. In this paper, a Product Lifecycle Management (PLM) approach is proposed, in order to facilitate product-process information exchange, by considering design constraints and rules coming from DFMA (Design For Manufacturing and Assembly) guidelines. Indeed, anticipating these manufacturing and assembly constraints in product design process, reduces both costs and Time To Market (TTM), and avoids to repeat mistakes. The paper details the application of multi-objective optimization algorithms after considering DFMA constraints in a PLM approach. A case study using an original mechatronic system concept is presented, and improved by considering product-process integrated design, optimization and simulation loops, using numerical optimization and FEM (Finite Element Method) methods and tools.

Highlights

  • Over the last two decades, the industrial context has lead companies to be more and more competitive, especially in their engineering processes

  • The use of formalized design approach combined with optimization methods, plays an important role in the product-process design lifecycle

  • The decision-making in product design requires to estimate, at best, all lifecycle process constraints, in the appropriate context

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Summary

Introduction

Over the last two decades, the industrial context has lead companies to be more and more competitive, especially in their engineering processes. For the need of our research work, we exploited the PLM approach and optimization methods through the development process of optimized products [4] in order to do new design iteration loops of a concept, based on assembly and manufacturing analysis. Based on kinematic and technology pairs definition, at the early stages of the design process, the SKL-ACD approach generates the product’s skeleton geometry (i.e. points, lines, planes, etc.) in a CAD (Computer Aided Design) environment, skeleton parameters and the required constraints between the skeleton entities. From this skeleton point of view, functional surfaces and design spaces are developed. Thanks to the MPM, it will be used to create an assembly range or a manufacturing range

Experimental design case study
Objective functions pffiffiffiffiffi
Findings
Conclusion and future work
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