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Call for Special Issue Papers: Topology optimisation in additive manufacturing

Special issue call for papers from Rapid Prototyping Journal

Topology optimisation in additive manufacturing


About the Special Issue

There is an increasing attention on Additive Manufacturing (AM) technologies attested by the large scientific activity around the world. It is no doubt that AM is viewed as a new revolution in material processing and design. Analysis of the top research papers by InCitesTM Essential Science Indicators shows additive manufacturing as major research front in engineering and materials science. In addition, if we look at the papers released within the last 20 years on the topic of additive manufacturing, the citation score demonstrates an exponential growth trend with more than 54,000 citations and average of 8 citations per published item. In addition, according to all3dp website, more than 60 major events in additive manufacturing are taking place worldwide only between May and October 2017.  The large amount of reported results within a small time frame encouraged scientists to launch various call for papers in the form of special issues to better identify the outcome of additive manufacturing in different research disciplines.

This special issue addresses two major topics in materials science and engineering, namely additive manufacturing and topology optimisation. Both of them show significant coverage throughout the recent years. Indeed, topology optimisation reaches a mature state with more than 17,000 research items released within the last 20 years.

This is twice the research outcome of additive manufacturing. However, it is surprising to notice that only few research works have addressed the use of topology optimisation in additive manufacturing. The citation report issued by combining both topics shows that only

116 papers were published starting from 2012. The research coverage of this new hot topic is at its birth age, and represents only 1% of the research dissemination in additive manufacturing.

 The idea about this special issue is to build a bridge between two scientific communities that have a lot to share. From one side, specialists of additive manufacturing are interested in design manufacturing using optimal conditions to achieve optimal design performance. From the other side, a community of people develop numerical strategies to predict what would be an optimal design for a material to fulfil specific functions. To our best knowledge the topic of topology optimisation in additive manufacturing did not yet receive a major attention despite its high potential. It is on top of that referred in several research papers as a future route for developing further additive manufacturing.

 What these two communities need to talk about?

 If we look at material design with additive manufacturing routes, the first step is the digital model that is converted into surface tessellation before ending with tool path instructions. It is exactly the same step needed in topology optimisation to achieve a numerical model capable of delivering predicted performance. Adapting topology optimisation to AM constraints would be the key to learn how to deliver optimal designs for additive manufacturing.

 We expect through this call significant change in AM based practices by integrating topology optimisation in AM dedicated tools to propose optimal designs, optimal hashing/slicing  solutions, etc. This call will focus thus on real implementation of topology optimisation in additive manufacturing situations.

Submissions could be based on the following themes:

1. State of the art of optimisation in additive manufacturing
2. Optimal design in additive manufacturing
3. Multi-objective optimisation paradigms in additive manufacturing
4. Topology optimisation for additive manufacturing: Case studies

Submissions details

All full papers submitted are subject to anonymous double-blind peer review by relevant academics and researchers.

The closing date for submissions is: October 2017. Submissions are made via Manuscript Central: please go to to submit your paper. Full notes for contributors can be found on the journal web site at


If you have any questions please feel free to contact the editors: