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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 18th Apr 2026, 05:29:26pm CEST

Agenda Overview

Session

D245: METHODS AND TOOLS FOR DESIGN FOR ADDITIVE MANUFACTURING

Time:

Tuesday, 19/May/2026:

3:15pm - 4:15pm

Session Chair: Christer W. Elverum, NTNU, Norway

Location: Conference Hall Konavle

Presentations

AI as a copilot: novice perceptions of expert support in early design for additive manufacturing

Florian Bahr, Pascal Schmitt, Kilian Gericke

University of Rostock, Germany

This exploratory study examines what forms of expert support DfAM novices need and how they perceive AI-based expert systems. The results show that cognitive orientation, transparent communication and reliable information are most valued, while social or emotional expert attributes play a minor role. The study derives requirements for explainable, trustworthy AI support tailored to the early needs of DfAM.

An iterative investigation of needs and barriers in deciding when to design for additive manufacturing

Tina Hajali¹, Arindam Brahma¹, Claudia Eckert², Ola Isaksson¹

¹Chalmers University of Technology, Sweden; ²The Open University, United Kingdom

Industrial adoption of additive manufacturing (AM) remains limited, partly due to challenges in determining when AM is more suitable than conventional processes. Since this decision must be made early to enable effective design for AM, understanding the factors that shape such assessments is essential. This study used iterative need analysis and prototype development loops to investigate these factors. The findings identify key needs and barriers influencing early decisions on when to design for AM and show that effective support requires a deep understanding of the underlying problem.

A conceptual tool to support the ecodesign of additively manufactured products

Cesare Chiacchietta, Marco Marconi

Università degli Studi della Tuscia, Italy

Additive manufacturing (AM) eases conventional manufacturing (CM) constraints allowing new design freedom. Yet designers still rely on experience and face AM high energy demand and variable waste benefits. This paper introduces an ecodesign approach to AM workflow through a tool comparing AM and CM via lifecycle metrics. The tool anticipates design and sustainability challenges providing environmental insights already at initial stages. This is highlighted with two use scenario: a new design and a redesign task. Future work involves tool development and validation with industrial case studies.

Exploring TRIZ contradiction analysis in design for additive manufacturing: insights from expert interviews

Florian Günther¹, Alexander Patrick Schlegel¹, Robert Adunka², Theresa Stengel¹, André Goudriaan¹, Alexander Koch¹

¹University of the Bundeswehr Munich, Germany; ²TRIZ Consulting Group GmbH, Germany

This paper examines whether the empirical knowledge of the TRIZ design theory is suitable for Design for Additive Manufacturing (DfAM). We systematically assess TRIZ engineering parameters (EP) and inventive principles (IP) in the context of contradiction analysis via DfAM, drawing on 11 semi-structured interviews. Findings indicate thematic alignment between DfAM methods and TRIZ IP, but reveal that the original TRIZ engineering parameters inadequately capture the multidimensional design space offered by DfAM. We outline directions to adapt the TRIZ EP for improved applicability.