Mark Goudswaard

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Lecturer in Digital and Data-driven Engineering

University of Bristol

United Kingdom

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About

Mark Goudswaard is a Lecturer in Digital and Data-driven Engineering at the University of Bristol, UK. His research interests include generative design, additive manufacturing, and prototyping practices, as evidenced by his recent articles on lightweight structures, artificial intelligence applications, and the impact of maker communities during the COVID-19 pandemic. He is dedicated to exploring innovative techniques and opportunities within these fields to enhance engineering practices.

Recent Grants

Grant: Close

Brokering Additive Manufacturing

Open Date: 2021-09-30

Close Date: 2023-03-30

Articles (13)

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2025

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2025

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2024

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2024

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2024

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2023

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2023

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2023

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2021

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2020

Collaborators (6)

Aydin Nassehi

Professor of Production Systems

University of Bristol

UNITED KINGDOM

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David Jones

Aberystwyth University

UNITED KINGDOM

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Ben Hicks

University of Bristol

UNITED KINGDOM

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Owen Peckham

University of Bristol

UNITED KINGDOM

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James Gopsill

University of Bristol

UNITED KINGDOM

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Chris Snider

Senior Lecturer in Engineering Design

University of Bristol

UNITED KINGDOM

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Mark Goudswaard

Research Interests

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About

Recent Grants

Articles (13)

Lightweighting using shells: An exploration of generatively designed hollow structures

Artificial Intelligence in Generative Design: A Structured Review of Trends and Opportunities in Techniques and Applications

IDEA challenge 2022 dataset: Prototypes from a design Hackathon

The prototype taxonomised: Towards the capture, curation, and integration of physical models in new product development

Data mining prototyping knowledge graphs for design process insights

Investigating and Characterizing the Systemic Variability When Using Generative Design for Additive Manufacturing

Optimal configurations of Minimally Intelligent additive manufacturing machines for Makerspace production environments

What, how and when should I prototype? An empirical study of design team prototyping practices at the IDEA challenge hackathon

A generative-based design methodology to enable the democratisation of 3D printing

Knowledge dimensions in prototyping: investigating the what, when and how of knowledge generation during product development

Maker communities and the COVID-19 pandemic: a longitudinal analysis of Thingiverse’s response to supply shortages

The creation of a neural network based capability profile to enable generative design and the manufacture of functional FDM parts

Towards the democratisation of design

Collaborators (6)

Aydin Nassehi

David Jones

Ben Hicks

Owen Peckham

James Gopsill

Chris Snider

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