| 1. |
- Rouhi, Mohammad Sadegh, 1983, et al.
(författare)
-
Large Scale Additive Manufacturing of Recycled Polymer Composites
- 2023
-
Ingår i: Proceedings of the American Society for Composites - 38th Technical Conference, ASC 2023. - : DEStech Publications. ; , s. 2405-2411
-
Konferensbidrag (refereegranskat)abstract
- The production of large-scale products is currently undergoing a considerable shift in the manufacturing sector in favor of additive manufacturing (AM). Complex structures and elaborate designs that were previously impossible to produce using conventional manufacturing techniques are now possible thanks to the usage of additive printing technology. At the same time, using recycled materials in the production process has also risen to the top of the industry's priority list as a result of a growing focus on sustainability. In this context, the use of recycled polymer composites in large-scale additive manufacturing (LSAM) is beginning to attract attention from both industry and research. Indeed, recycled polymer composites offer several benefits, including not only lower costs but also significantly reduced environmental impact and improved mechanical properties compared to virgin polymer materials. However, several challenges are still associated with using recycled materials in AM, including issues with material properties and compatibility with the AM process. Perhaps the most difficult polymer for AM is nylon where different grades pose different printing properties and challenges, thus printing large-scale objects in recycled nylon is a challenge that few have taken on. One objective of our project is to improve the properties of recycled polymers for LSAM by investigating how different additives, such as mineral wastes and/or recycled short fibers, influence the LSAM process and the properties of the resulting printed object. One way to achieve this objective is by simulating the AM process where we use ABAQUS AM capabilities that enable us to optimize the process and material parameters. Thermal and mechanical analyses using the element activation technique in ABAQUS AM allow us to implement multi-scale multi-physical models for material and process simulation and ensure that the final product meets the desired mechanical and structural properties. To truly reach a circular economy, a systems-level transformation of manufacturing must be achieved [1]. Our vision is to digitally transform manufacturing by turning recycled polymers and other industrial wastes into secondary raw materials and composites for LSAM of final products. However, further research on different industrial use cases and applications is needed to address the remaining challenges associated with this approach and to fully realize its potential in the manufacturing industry.
|
|
| 2. |
- Teigland, Robin, et al.
(författare)
-
The Substitution of Labor: From technological feasibility to other factors influencing job automation
- 2018
-
Rapport (övrigt vetenskapligt/konstnärligt)abstract
- This is the fifth report from the three-year project, The Innovative Internet, which is funded by the Internet Foundation in Sweden (IIS - Internetstiftelsen i Sverige) and for which we are very grateful. In this project our primary objective is to examine how the Internet and digitalization have influenced entrepreneurship and innovation in Sweden. This report focuses on how technology and the Internet can impact the dynamics of the labor markets with a particular focus on Sweden.
|
|
| 3. |
- Van Der Zande, Jochem, et al.
(författare)
-
The substitution of labor: From technological feasibility to other factors influencing the potential of job automation
- 2019
-
Ingår i: The Digital Transformation of Labor (Open Access): Automation, the Gig Economy and Welfare. - London : Routledge. - 9780429317866 - 9780367330705 ; , s. 31-73
-
Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Artificial intelligence, machine learning (a subcategory of AI), and robotics are three technologies that perform an increasingly wider variety of routine and even non-routine job tasks. This chapter provides an overview of digitalization and automation along with the three underlying technologies and explores the potential of these technologies to replace human capabilities in the workplace. Subsequently, it discusses a set of factors beyond technological feasibility that influence the pace and scope of job automation. Some of the chapter’s key findings include the following: (1) The majority of jobs will be affected by the automation of individual activities, but only a few have the potential to be completely substituted; (2) the automation potential for non-routine tasks seems to remain limited, especially for tasks involving autonomous mobility, creativity, problem-solving and complex communication; (3) the nature of jobs will change as mundane tasks will be substituted and people will work more closely together with machines; and (4) industries that have a large potential for labor substitution are food and accommodation services, transportation and warehousing, retail trade, wholesale trade and manufacturing.
|
|
