Project Description

Special Interest Group Meeting: Advancing Precision in Additive Manufacturing
21st – 23rd September 2021

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Advancing Precision in Additive Manufacturing
21st – 23rd September 2021, inspire AG, St. Gallen, Switzerland

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This 8th in the series of joint Special Interest Group meeting between euspen and ASPE on Advancing Precision in Additive Manufacturing is crucial to putting additive manufacturing onto the factory floor. We are seeking papers in the following categories:

1. Dimensional accuracy and surface finish in additive manufacturing (AM)

  • State of the art: What level of precision is achievable?
  • Functional specifications for form and finish
  • Prediction and modelling of dimensional errors and surface topography
  • Developments in fabricating lattice structures with high integrity
  • Diversity in scale of features:  large-scale to micro-/nano-scale

2. Design for precision

  • Design rules and tolerancing for AM
  • Topology optimisation in the context of AM and achieving precision
  • Novel designs for flexures and kinematic couplings
  • Metallurgy and fatigue issues in high-cycle precision applications
  • Design and tolerancing of lattice structures

3. Machine precision – process development and control

  • In-situ process monitoring, e.g. melt zone temperature, powder bed
  • In-process measurement of workpiece shape and topography
  • Using artefacts to assess machine performance, round-robin testing
  • Holistic views of the control system, process feedback, correction
  • Machine learning to conquer the complex AM parameter space
  • Machine learning with a focus on precision and uncertainty

4. Standards certification and training

  • Certifying AM equipment capabilities and material properties
  • Industrial demands for ASTM and ISO standards

5. Integrating AM into a holistic manufacturing process

  • Cost-benefit trade-offs of using AM within a complex process chain
  • Engineered partnerships between AM and secondary finishing
  • Kinematic tooling or pallets for repeatable part handling
  • Digitalisation of manufacturing

6. Metrology

  • Surface topography measurements on rough as-built surfaces
  • Dimensional metrology of internal features using computed tomography
  • Multi-sensor approaches, data fusion and machine learning
  • Complex form measurement, registration and fitting of point clouds
  • Measurement of 3D lattice strut dimensional accuracy and integrity
  • Characterisation of internal defects and voids

The local hosts and organising committee for the joint Special Interest Group meeting between euspen and ASPE on Advancing Precision in Additive Manufacturing are :-  Dr Adriaan Spierings from inspire AG; Dr Anke Günther from ETH Zurich; Prof. Geoff McFarland from Renishaw plc; Prof. Richard Leach from University of Nottingham;  and Dr John Taylor from University of North Carolina at Charlotte

The Additive Manufacturing meeting chair is Prof. Richard Leach from University of Nottingham and Dr John Taylor from University of North Carolina at Charlotte

Local hosts supporting euspen:

Key Dates:

23rd April 2021 : Online short abstract submission deadline

18th June 2021 : Online extended abstract submission deadline

9th July 2021 : Notification of presentation acceptance (oral/poster)

14th July 2021 : Delegate registration opens

Registration Fees

Fees and information about the Additive Manufacturing
meeting all fees include networking dinner

  • €195+VAT euspen Student Member
  • €395+VAT euspen Member
  • €495+VAT Non-euspen Member
  • €595+VAT Exhibitor (table top)
  • Networking dinner is not included in the registration fee for Student Members
  • €45+VAT  Networking dinner (Student Members)

All speakers and presenters must register for the conference using the appropriate delegate fee.

Submit an abstract for Additive Manufacturing 2021

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Abstract Guidelines

Announcement & Call for Abstracts

Come and join your international peers and maintain a leading edge on technology, customers, partners and suppliers. Access the greatest minds in Advancing Precision for Additive Manufacturing  research and development. Share knowledge and information and stimulate debates.

Themes :-

  • Dimensional accuracy and surface finish in additive manufacturing (AM)
  • Design for precision
  • Machine precision – process development and control
  • Standards certification and training
  • Integrating AM into a holistic manufacturing process
  • Metrology

Submission of abstracts

Abstracts are expected to describe original work, previously unpublished and should indicate new and significant advances and their importance. Initially short abstracts between of around 300 words in length should be submitted online using the below links.

Following review of short abstracts, authors will be provided with instructions for submitting extended abstracts of between two and four A4 pages. On acceptance of extended abstracts, authors are notified of presentation mode (poster/oral). All papers accepted will also be indexed on to euspen’s Knowledge Base which is indexed via Google Scholar. The final decision on acceptance of all papers is made by the Editor and Scientific Committee of the SIG meeting.

The invitation to submit an abstract does not constitute an offer to pay travel, accommodation or registration costs associated with the conference. Similarly, no speaker fee is paid to successful participants. All speakers must register for the conference and transfer registration fee. In specific cases the organising committee reserves the right to deviate from the standard procedure.

Keynotes & SOTAs:

We are delighted to bring together leading expertise globally to an open forum for focused presentations and discussions on additive manufacturing.

Dr Bernhard Mueller

Additive Manufacturing Department at Fraunhofer Institute for Machine Tools and Forming Technology IWU

Next Generation Design for Additive Manufacturing and how the technologies need to adapt


Bernhard Mueller obtained his »Dr.-Ing.« (PhD) degree from TU Dresden (Germany), Faculty of Mechanical Engineering in 2001. He worked in German foundry and automotive supply industry for 12 years, focussing on R&D as well as on management responsibilities, serving as a plant manager in his latest position, before joining Fraunhofer to establish »Additive Manufacturing Technologies« as a new field of research at Fraunhofer IWU. In his education and previous positions, Bernhard has recurrently worked with additive manufacturing / 3D printing technologies for more than 25 years, focussing lately on laser-based powder bed fusion technology for metals. Bernhard has been acting currently as the spokesman for the »Fraunhofer Competence Field Additive Manufacturing« and has been managing the German industrial »Beam Melting Network«. He has been member of the board of directors at AGENT-3D e. V., Germany’s largest consortium for research, innovation and growth in 3D printing. He has been member in several technical committees, including »GPL FB1 FA105.2/.4 Additive Manufacturing« of the Association of German Engineers VDI and »FA13 Additive Manufacturing« of the German Research Association on Welding and Allied Processes of the DVS (German Welding Society). He has also been on the Advisory Council of Rapid.Tech International Trade Show & Conference for Additive Manufacturing in Erfurt (Germany) as well as on the editorial board of the Springer Nature journal »Progress in Additive Manufacturing« (PIAM). Bernhard has authored 100+ technical and scientific publications and presented 70+ technical papers at national and international conferences, symposia and workshops.

Marco Salvisberg 

GF Precicast Additive SA, CH

Transforming the supply chain of metal components for industrial gas turbines through the new possibilities of additive manufacturing

Afaf Remani 

University of Nottingham, UK

In situ monitoring of metal powder bed fusion for defect identification using fringe projection

Additive manufacturing (AM) techniques allow building components on a layer-by-layer basis, with increased precision and efficiency compared to conventional methods. However, AM techniques such as laser-based powder bed fusion (L-PBF), still lack quality assurance due to the appearance of defects during part manufacture. Factors including process parameters, build environment and process stability produce these defects, which jointly influence the integrity of the finished part. In situ monitoring techniques permit to closely inspect the build process and identify emerging defects. However, while defects are originally unwanted, not all of them are detrimental to part microstructure. In this SOTA talk, we present a methodology to discriminate critical/‘killer’ defects from neutral anomalies, using in situ monitoring and topographical analysis. The talk will detail the development of the main monitoring technique, fringe projection, and its deployment inside a commercial L-PBF machine. Thermal imaging will also be discussed as a second monitoring technique used simultaneously. The general pipeline for in situ detection, data analysis and ex-situ testing will be described. The collected data and any detection results will be examined. A summary of the challenges and opportunities for in situ monitoring in AM will be presented.


Afaf Remani is currently pursuing a PhD in Manufacturing Engineering at the University of Nottingham, focusing on the design and development of measurement techniques for in situ monitoring and defect detection in additively manufactured metal parts. Her project is supported by Renishaw plc and is an on-going partnership between the University of Nottingham and Imperial College London. Prior to her PhD, Afaf completed an MSc in Mechanical Engineering, with a specialisation in Manufacturing, at the University of Nottingham and a BSc in General Engineering at Al Akhawayn University (Morocco). She has a solid background in dynamics and mechanics of materials and is a part-time supervisor of undergraduate mechanical engineering laboratories alongside her PhD. Afaf is a collegiate member in the Society of Women Engineers and took part in research and development projects in the United States and Portugal. She co-authored two review papers about in-situ monitoring and defect detection in additive manufacturing, among which one is a high-impact comprehensive review.

Professor Michael A. Cullinan 

University of Texas at Austin, US

A review of the state-of-the-art and precision engineering challenges in micro/nanoscale additive manufacturing

Microscale additive manufacturing is one of the fastest growing areas of research within the additive manufacturing community. However, there are still significant challenges that exist in terms of available materials, resolution, throughput, and ability to fabricate true three-dimensional geometries. These challenges render commercialization of currently available microscale additive manufacturing processes difficult. This talk will review the current state-of-the-art of microscale additive manufacturing technologies and investigate the factors that currently limit each microscale additive manufacturing technology in terms of materials, resolution, throughput, and ability to fabricate complex geometries. This talk will offer prognosis about the future viability and applications of each technology along with suggested future research directions that could be used to bring each process technology in line with its fundamental, physics-based limitations. This talk will also bring together the general design guidelines that must be followed while designing scalable microscale AM processes. Finally, this talk will conclude with an analysis of the role of precision engineering in the future advancement of microscale additive manufacturing technologies.


Dr. Cullinan is an Associate Professor in the Walker Department of Mechanical Engineering The University of Texas at Austin. Prior to joining The University of Texas, Dr. Cullinan was a National Research Council Postdoctoral Associate at the National Institute of Standards and Technology in Gaithersburg, Maryland. Dr. Cullinan received his Ph.D. in Mechanical Engineering from the Massachusetts Institute of Technology (MIT) in 2011. Dr. Cullinan also holds an MS (2008) in Mechanical Engineering from MIT as well as a BS in Engineering and a BA in Economics from Swarthmore College (2006). Dr. Cullinan’s research focuses on the development of novel nanomanufacturing systems and on finding ways to exploit nanoscale physical phenomena in order to improve existing macroscale devices and to create novel micro- and nanoscale devices for energy and sensing applications. Dr. Cullinan has received many awards for his research and teaching including the Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers (2016), the Rising Star Award from the Sensors Expo and conference (2017), multiple Best Poster Awards from the American Society for Precision Engineering (2017, 2018), and the Outstanding Teaching by an Assistant Professor Award from the Department of Mechanical Engineering at The University of Texas at Austin (2017). Dr. Cullinan is also an associate editor for both Precision Engineering and the ASME Journal of Micro and Nanomanufacturing. In addition, he is also the co-chair of the Micro and Nanotechnology Technical Leadership Committee for the American Society for Precision Engineering.

Joe Eastwood 

University of Nottingham, UK

State of the art in machine learning for precision engineering

Advances in high performance computing combined with access to rich and massive datasets have led to a revolution in machine intelligence. The growing ubiquity of machine learning across all sectors presents many opportunities, and the precision engineering world has not been slow in leveraging this new tool. While initially confined to the world of academia, the technologies have matured enough to be seen in many industrial settings. From post-process surface metrology, to in-situ monitoring and process control – machine learning is now contributing to many applications at the cutting edge of our field. This talk will cover, at a high level, the current state of the art in machine learning as it applies to precision engineering.


Joe Eastwood is a research engineer in the Manufacturing Metrology Team at the University of Nottingham. His work focusses on the applications of machine learning to optical metrology: thus far this has included projects on six degree-of-freedom pose estimation, automated view planning and the simulation of additively manufactured surfaces using generative adversarial networks.

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