No abstract

Additive Manufacturing (AM) brought new design freedom and possibilities that enable design and manufacturing of products with new forms and functionalities. To utilise these possibilities a new design approach emerged, Design for Additive Manufacturing (DfAM), that contains methods and tools for supporting AM oriented design process. Designers working with AM are aware of the need to apply DfAM and AM possibilities in conceptual design phase where they have the most significant influence on product architecture and form but are facing a lack of suitable DfAM approaches for early design phases. Therefore, the presented research is investigating possibilities of storing and representing AM knowledge in the form of design principles to be used in the conceptual design phase. The paper proposes conceiving of Design Principles for Additive Manufacturing repository where formalised AM knowledge is stored in the form of design principles and structured based on function criteria. In the paper, various elements of design principle representation are discussed, as well as their role in the conceptual design process.

This paper provides an overview and appraisal of the International Design Engineering Annual (IDEA) challenge - a virtually hosted design hackathon run with the aim of generating a design research dataset that can provide insights into design activities at virtually hosted hackathons. The resulting dataset consists of 200+ prototypes with over 1300 connections providing insights into the products, processes and people involved in the design process. The paper also provides recommendations for future deployments of virtual hackathons for design research.

In this paper, authors present a new approach for supporting design process for additive manufacturing. The purpose of the method is to support structured process for the conceptual design phase and help designers utilise the unique possibilities of additive manufacturing with mapping of product functions and design principles through additive manufacturing ontology. The method is still in early research phase and therefore lacks a necessary computational framework. The paper presents the preliminary validation of the method through a case study.

The development of additive manufacturing (AM) technologies has brought new design possibilities, and to utilise those possibilities, new sources of AM design knowledge are needed. This paper presents an inductive methodology for extracting AM design knowledge based on the functional analysis of AM products. Extracted AM design knowledge is formalised in 32 AM design principles using the proposed methodology. The AM design principles are organised regarding the functions they solve. Initial validation and intended use are described through a case study. The AM design principles can facilitate systematic design processes and methods, and can be used in early design phases for finding partial solutions for subfunctions of the design problem.