Abstract

Due to recent developments in the field of additive manufacturing enormous advantages have become in product design and manufacturing process. Before the appearance of additive manufacturing, developing very complex or light weight structures was difficult to manufacture. The development of artificial intelligent technology helps to develop new collaborative tools and algorithms. Generative design approach is one of them. The outcome model from a generative design study is not depending only from designer/engineer experience or his knowledge. Designers can react with sophisticated algorithms through CAD programs to specify the shape and the topology of the model. A significant tool on a generative design system is topology optimization which is able to generate different solutions. The changes in design process are significant. A rough conceptual design (sketch) or a 3d model is first prepared. Then, boundary conditions, safety factor, manufacturing limitations and materials properties are defined. The generative design system generates potential solutions. It’s up to the designer to find the design that best fits to his need. In this paper the review covers the limitations of current systems through the study of specific design cases using commercial generative design systems.

Highlights

  • During the design process designers/engineers has to take decision for product shape, ergonomic design, material selection, product stiffness, durability and so on

  • Generative design is a powerful tool for designers and engineers

  • The results of Generative Design (GD) study are characterized by organic shapes which try to mimic the nature

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Summary

INTRODUCTION

During the design process designers/engineers has to take decision for product shape, ergonomic design, material selection, product stiffness, durability and so on. The combination of these parameters create a complex problem. Designer has to take a decision very fast and in accurate. In this effort advanced systems like generative design, topology optimization and additive manufacturing are very helpful. It is a fast method of exploring design possibilities that is used in various design fields. The rules are defined and an algorithm starts to formalize the rules in parameters in order to output potential solutions.

GENERATIVE DESIGN IN INDUSTRY
Soft Robotics
Experimental Validation
Findings
CONCLUSION
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