AISAM contributes new knowledge for the circular industry of the future
AISAM is contributing new knowledge for the circular industry of the future. How can the industry manufacture, repair, and remanufacture advanced components with higher…
October 12, 2026
AISAM contributes new knowledge for the circular industry of the future
AISAM contributes new knowledge for the circular industry of the future
How can the industry manufacture, repair, and remanufacture advanced components with greater precision, lower resource consumption, and consistent quality? This is one of the key questions at the heart of AISAM (AI Supported Adaptive Manufacturing), where industry, academia, and innovation stakeholders are collaborating to develop the AI-supported manufacturing processes of the future. One of the project’s research findings has now been published by CIRP, one of the world’s leading organizations in production engineering research, and contributes new knowledge for a smarter, more sustainable, and circular industry.
The AISAM project focuses on developing AI-supported adaptive manufacturing by combining artificial intelligence, simulation, automation, and advanced manufacturing methods. The goal is to strengthen the industry’s competitiveness through increased productivity, higher quality, and more resource-efficient processes.
Research based on AISAM has now been published in Procedia CIRP. The article “Simulating the effects of machining-induced residual stress on geometric variation, ” with Adam Lindkvist from Chalmers University of Technology as the lead author, examines how residual stresses arising from machining affect the geometry and quality of metal components.
A Better Understanding of Advanced Manufacturing
When metal components are machined, high temperatures and forces are generated that can create residual stresses in the material. These, in turn, can affect the component’s shape, precision, and function. For advanced industrial components with tight tolerances, even minor geometric variations can have a significant impact.
In the study, the researchers developed a method for simulating how these residual stresses affect the component’s geometry. By anticipating these effects earlier in the process, it becomes easier to optimize production, reduce variations, and ensure quality even before the component reaches the production floor.
The research findings are particularly relevant to additive manufacturing, where the final properties of a component are influenced by several interrelated processes and where an understanding of these processes is crucial for achieving high quality and reproducibility.
Knowledge that Drives Advancements in AM, WAAM, and DED
For Innovatum Science Park and PTC, these results are highly relevant. At PTC, we serve as a knowledge hub for automated manufacturing processes, with a particular focus on additive manufacturing and technologies such as AM (Additive Manufacturing), WAAM (Wire Arc Additive Manufacturing), and DED (Directed Energy Deposition).
These technologies are used to manufacture, repair, and remanufacture advanced components and have great potential to reduce material use, extend product lifespans, and create more resource-efficient production systems. At the same time, they place high demands on quality assurance, process control, and an understanding of how materials behave throughout the entire manufacturing chain.
This is where AISAM plays a key role. Through research, simulation, and data-driven methods, knowledge is being developed that can contribute to more robust, automated, and predictable manufacturing processes—a prerequisite for the industry to fully benefit from additive manufacturing on an industrial scale.
From Research to the Circular Economy
The research also ties in with the issues recently discussed at the “Circular by Default” event in Trollhättan, where the focus was on how remanufacturing can strengthen the industry’s competitiveness, reduce dependence on materials, and create new business opportunities.
Repairing, remanufacturing, and reusing components requires not only the right technology but also in-depth knowledge of how materials and geometries are affected throughout the product’s life cycle. The research now published by AISAM contributes precisely this type of knowledge and thereby strengthens the technical foundations for a more circular and sustainable industry.
At the same time, this publication demonstrates the strength of collaboration between industry, academia, and innovation stakeholders. Through AISAM, not only are new technical solutions being developed, but also the knowledge base needed to make the manufacturing industry of the future more intelligent, resource-efficient, and competitive.
Read the research article:
Simulating the Effects of Machining-Induced Residual Stress on Geometric Variation.