Abstract

Within product development processes, computational models are used with increasing frequency. However, the use of those methods is often restricted to the area of focus, where product design, manufacturing process, and process chain simulations are regarded independently. In the use case of multi-material lightweight structures, the desired products have to meet several requirements regarding structural performance, weight, costs, and environment. Hence, manufacturing-related effects on the product as well as on costs and environment have to be considered in very early phases of the product development process in order to provide a computational concept that supports concurrent engineering. In this contribution, we present an integrated computational concept that includes product engineering and production engineering. In a multi-scale framework, it combines detailed finite element analyses of products and their related production process with process chain and factory simulations. Including surrogate models based on machine learning, a fast evaluation of production impacts and requirements can be realized. The proposed integrated computational product and production engineering concept is demonstrated in a use case study on the manufacturing of a multi-material structure. Within this study, a sheet metal forming process in combination with an injection molding process of short fiber reinforced plastics is investigated. Different sets of process parameters are evaluated virtually in terms of resulting structural properties, cycle times, and environmental impacts.

Highlights

  • In today’s product development, virtual tools are used more frequently, leading to a reduction of physical prototypes and experimental testing

  • To address the resulting challenges, we propose a concept for an integrated computational product and production engineering (ICPPE)

  • As for deep drawing, an exemplary plot for fiber injection molding of the plastic rib structure for the original finite element method (FEM) yielded by Moldflow (Fig. 18d) and the FEM surrogate model built through a random forest approach (Fig. 18e) is drawn for the fiber direction element axx

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Summary

Introduction

In today’s product development, virtual tools are used more frequently, leading to a reduction of physical prototypes and experimental testing. The idea of an integrated computational engineering approach becomes even more important; when in contrast to conventional production processes for mono-material structures, multi-material lightweight structures (MMLS) are achieved by multi-stage and integrated manufacturing They are physical products or parts of products that consist of different materials with different properties (e.g., steel and fiber-reinforced plastics) and enable a required technical functionality at a lower weight than generally achievable by other means [7]. Integrated production processes for MMLS cause a higher complexity compared with conventional steel processing This raises the question of their environmental competitiveness, which has to be assessed in the context of their entire life cycle and can only be investigated by virtual prototypes.

Computational methods in product and production engineering
Computer-aided engineering
Sheet metal forming
Injection molding
Model order reduction and surrogate modeling
Process chain modeling using discrete event and agent-based simulation
Concept for an integrated computational product and production engineering
Product level
Process level
Surrogate modeling
Method Finite Element Simulation
Process chain and factory level
Design of Experiments
Case study on a multi-material lightweight structure
Parametric study on deep drawing
Material and model
Numerical results
Overmolding
FEM surrogate modeling
Modeling and input parameters
Results of surrogate modeling
Model logic and input parameters
Concluding remarks

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