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Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 11:29:21am CEST
D423: ENHANCING DESIGN THROUGH OPTIMISATION AND AUTOMATION TOOLS
Time:
Thursday, 23/May/2024:
10:45am - 12:30pm
Session Chair: Markus Zimmermann, Technical University of Munich, Germany
Location:Congress Hall Orlando 1
Presentations
Optimization-based design support for engineer-to-order product quotation
Olle Vidner1, Anton Wiberg1, Robert Pettersson2, Johan A. Persson1, Johan Ölvander1
1Linköping University, Sweden; 2Epiroc Rock Drills AB, Sweden
Quotation of engineer-to-order products provides substantial challenges in effectively managing engineering resources. This paper describes an approach that rationalizes this process by integrating multi-disciplinary design analysis and optimization with a new open-source library for managing engineering knowledge before and after optimization. The approach is applied and evaluated on mechanical rock excavation machines. Adapting the approach and considering the user feedback gathered can lead to an enhanced design space overview during quotation and thus more competitive product offerings.
Are generative design tools creative? A characterisation of tools throughout the design process
Owen Rahmat Peckham, Ben Hicks, Mark Goudswaard
University of Bristol, United Kingdom
Generative design is now a core capability of today’s CAD systems enabling broader exploration of the design space. This paper presents a desktop review of 15 tools with the aim of characterising where the tools are used in the design process and to what extent they can be considered creative.The results showed that, despite their increasing capabilities, GD tools are unable to exhibit all phases of creativity and cannot be applied in all stages of the design process. This highlights the criticality of the human in design providing opportunities for GD to augment designer creativity.
Enhancing design automation for components of electric machines: a systematic approach
Niklas Umland1, Anton Wiberg2, Kora Winkler1, Jakob Jung3, David Inkermann4
This paper presents a systematic approach to multidisciplinary design automation in electric motor engineering, focusing on component design. Existing work in this field is often limited to a single level and lacks portability and reusability. The approach aims to enable simultaneous component and system design, with comprehensive models capturing specifications and architecture. Feasibility is demonstrated through the automated design of additive manufactured hairpin windings.
Developing a method to improve unknown identification and design efforts for environmental transition: a case study in the packaging industry
Marion Deshoulières, Pascal Le Masson, Benoît Weil
MINES ParisTech, France
Most manufacturing companies have tested and adopted sustainable design methods to navigate their product's environmental transition. While successful at first in enhancing their environmental performance, these companies later struggle to pursue their environmental transition. This entails mastering two critical competencies: identifying transition unknowns, and fostering adequate design efforts. This action research with an innovative design intermediary - which has completed four sustainable packaging missions - reveals the specific design barriers encountered for environmental transition.
Approaches for exploration, analysis, and visualization of tradespace for engineering decision-making
Meredith Sutton1, Julia Daniels1, Nafiseh Masoudi1,2, David Gorsich3, Cameron Turner1
1Clemson University, United States of America; 2Aarhus University, Denmark; 3US Army Ground Vehicle Systems Center, United States of America
This paper discusses approaches for tradespace analysis, exploration, and visualization to address multi-objective decision-making. Next, computational tools for early-stage tradespace analysis to enhance programmatic decision-making are introduced via a vehicle design example to demonstrate the effectiveness and capability of the method. Using a smaller sample of technologies in this problem a synthetic tradespace spans the space of potential and available solutions and provides an opportunity for design engineers to develop an insight into possible technologies and solutions within the tradespace.
