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: 17th May 2024, 11:05:39am CEST

 
 
Session Overview
Session
D426: INTEGRATING CAD WITH ADVANCED DESIGN METHODOLOGIES
Time:
Thursday, 23/May/2024:
10:45am - 12:30pm

Session Chair: Detlef Gerhard, Ruhr-Universität Bochum, Germany
Location: Congress Hall Šipun


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Presentations

Engineering designers’ CAD performance when modelling from isometric and orthographic projections

Fanika Lukačević1,2, Niccolò Becattini2, Stanko Škec1

1University of Zagreb FSB, Croatia; 2Politecnico di Milano, Italy

The presented study investigates differences in engineering designers' CAD performance when modelling from two types of projections in technical drawings – isometric and orthographic. The results revealed significant differences in the percentage of correctly replicated components' size and shape, indicating better CAD outcomes when generating CAD models from the orthographic projection. In addition, a comparison of duration, as well as the number and type of sketch entities, sketch relations, and CAD features, showed that CAD modelling processes were similar in both conditions.



Automatic evaluation of the misplacement risk during manual assembly based on a CAD design

Alexander De Cock, Ncamisile Khanyile, Bieke Decraemer

Flanders Make, Belgium

In HMLV manufacturing, assembly mistakes by operators are common due to the ever increasing product variability and complexity. If mistakes can be detected early-on in the design process, product designers can reduce the possibility for mistakes. We present an algorithm to automatically detect and evaluate potential misplacements of parts that need to be fastened. Evaluation starts from a product CAD and returns the risk of misplacement as well as visual feedback on possible misplacements. An implementation with FreeCAD of our algorithm is illustrated on different use cases.



Assessing yacht design processes: a comparison of traditional and integrated methodologies

Ludovico Ruggiero, Massimo Piccioni, Arianna Bionda

Politecnico di Milano, Design Department, Italy

Yacht design process currently faces challenges as slow data sharing, lack of flexibility in modelling and inefficient optimisation of shapes. This paper assesses the potential of an integrated approach over the traditional one, using a hypothetical industry scenario. The key aspects of data sharing/project management, modelling system, and shape optimization are compared, and new collaborative tools and technologies are introduced. The research reveals significant benefits of the integrated approach over the traditional one highlighting its potential to foster innovation within the industry.



Data-driven support for CAD parts modelling based on automated estimated production planning – approach and user research

Martin Erler1, Sebastian Langula1, Christian Wölfel1, Julia Schneider1, Christiane Kunath1, Michael Königs2

1Technische Universität Dresden, Germany; 2FVP Aachen, Germany

We present a data-driven approach to support decision-making in CAD modelling and to improve design for manufacturing. Based on automated estimated production planning, information is provided on possible design actions and their impact. A study was conducted on perspectives on and visualizations in CAD modelling. Requirements for a user interface of the described support system were identified. The results serve as basis for further research and development on the interaction of engineering designers with data-driven decision-making support in CAD modelling.



A comparative study of VR CAD modelling tools for design

Aman Kukreja, Christopher Michael Jason Cox, James Gopsill, Chris Snider

University of Bristol, United Kingdom

With recent advancements in Virtual reality (VR), 3D design in VR has gained significant interest from both academia and industries. However, the development of these VR CAD tools is either skewed towards the creative industry or simply mimicking conventional CAD. This paper presents three different tools, analyzes them, and compares their capabilities over various performance parameters. The paper finally suggests where these tools can be used in the design process and some critical pathways for developing VR-based CAD modeling software for practical use in the engineering design industry.



 
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