| 1. |
- Ericsson, Mikael, 1975-, et al.
(author)
-
AI-Based Quality Control of Wood Surfaces with Autonomous Material Handling
- 2021
-
In: Applied Sciences. - : MDPI. - 2076-3417. ; 11:21, s. 9965-9965
-
Journal article (peer-reviewed)abstract
- The theory and applications of Smart Factories and Industry 4.0 are increasing the entry into the industry. It is common in industry to start converting exclusive parts, of their production, into this new paradigm rather than converting whole production lines all at once. In Europe and Sweden, recent political decisions are taken to reach the target of greenhouse gas emission reduction. One possible solution is to replace concrete in buildings with Cross Laminated Timber. In the last years, equipment and software that have been custom made for a certain task, are now cheaper and can be adapted to fit more processes than earlier possible. This in combination, with lessons learned from the automotive industry, makes it possible to take the necessary steps and start redesigning and building tomorrows automated and flexible production systems in the wood industry. This paper presents a proof of concept of an automated inspection system, for wood surfaces, where concepts found in Industry 4.0, such as industrial Internet of things (IIoT), smart factory, flexible automation, artificial intelligence (AI), and cyber physical systems, are utilized. The inspection system encompasses, among other things, of the shelf software and hardware, open source software, and standardized, modular, and mobile process modules. The design of the system is conducted with future expansion in mind, where new parts and functions can be added as well as removed.
|
|
| 2. |
- Eriksson, Kristina M., 1976-, et al.
(author)
-
Experiences in Running a Professional Course on Digitally-Enabled Production in Collaboration Between Three Swedish Universities
- 2022
-
In: Advances in Transdisciplinary Engineering. - : IOS Press. - 2352-751X .- 2352-7528. ; 21, s. 653-664
-
Journal article (peer-reviewed)abstract
- Abstract. Needs for new competences and knowledge arise as industry 4.0 evolvesin increasingly digitalized production. This development entails that jobtransformations and future skills need attention from the perspective of industry 5.0,where human and machine find ways of working together to improve productionperformance. Facing this perspective, one challenge is a growing need for novellifelong learning initiatives, to meet emerging and altering occupations for thefulfilment of future skill requirements. This challenge is addressed here byportraying a case where three Swedish universities have formed a distinctivecollaboration to develop a flexible (i.e. blended) course for professionals, in thesubject of Digitally-enabled production. The purpose is to develop a sustainablecollaboration between the universities and create a course format on master leveladdressing lifelong learning for the increasingly digitalized production. Theambition is to increase the impact of the universities respective efforts by sharingresources and utilizing individual specialized expertise to develop a practical andrelevant course that can reach a larger target group. The course encompassesindustry 4.0 readiness on three levels of production systems; plant-, production cell-,and component level; to adopt a holistic view of digitalization in production. Wefollowed an action research approach for continuously collecting and documentingour experiences during the course development, implementation, and disseminationof the course. Within the frame of action research, an explorative case studydescribes and analyzes the initiative. The results highlight challenges andopportunities for succeeding with this form of co-produced course. The joint coursegives professionals possibilities to work on cases from their own companies withexpert supervision from three manufacturing levels to address complex challengesin industry 4.0 implementation. To conclude, the importance of lifelong learning inrelation to the human-centric approach of industry 5.0 is emphasized as a futuredirection.
|
|
| 3. |
- Geijer, Cecilia, 1980, et al.
(author)
-
Initiation of the transcriptional response to hyperosmotic shock correlates with the potential for volume recovery.
- 2013
-
In: The FEBS journal. - : Wiley. - 1742-4658 .- 1742-464X. ; 280:16, s. 3854-67
-
Journal article (peer-reviewed)abstract
- The control of activity and localization of transcription factors is critical for appropriate transcriptional responses. In eukaryotes, signal transduction components such as mitogen-activated protein kinase (MAPK) shuttle into the nucleus to activate transcription. It is not known in detail how different amounts of nuclear MAPK over time affect the transcriptional response. In the present study, we aimed to address this issue by studying the high osmolarity glycerol (HOG) system in Saccharomyces cerevisiae. We employed a conditional osmotic system, which changes the period of the MAPK Hog1 signal independent of the initial stress level. We determined the dynamics of the Hog1 nuclear localization and cell volume by single-cell analysis in well-controlled microfluidics systems and compared the responses with the global transcriptional output of cell populations. We discovered that the onset of the initial transcriptional response correlates with the potential of cells for rapid adaptation; cells that are capable of recovering quickly initiate the transcriptional responses immediately, whereas cells that require longer time to adapt also respond later. This is reflected by Hog1 nuclear localization, Hog1 promoter association and the transcriptional response, but not Hog1 phosphorylation, suggesting that a presently uncharacterized rapid adaptive mechanism precedes the Hog1 nuclear response. Furthermore, we found that the period of Hog1 nuclear residence affects the amplitude of the transcriptional response rather than the spectrum of responsive genes.
|
|
| 4. |
- Ramanathan, Prabhu K., 1975-, et al.
(author)
-
Development of an Intelligent Robotized Machine Vision Automated System for Bacterial Growth Monitoring
- 2023
-
In: Proceedings of 2023 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication. - : IEEE. - 9798350312126 ; , s. 1-6
-
Conference paper (peer-reviewed)abstract
- Pathogenic bacterial growth detection and monitoring is an important scientific process in the field of quality control in the food, water, and medical industries. Very-large-scale process of such bacteria growth monitoring is possible only with an automated process. The mechanism must make sure that the sample is continuously monitored, and detected, data is communicated to supervisors and managers, and data is stored historically retrievable for quality control and analysis. A manual bacteria inspection among the Petri dishes incubated of such bacterial growth in food processing was attempted for automation. The manual inspection in a microbiological industry involves; an operator inspecting the input petri discs to check if there are bacteria, writing down the barcode of the corresponding petri dish, and then sorting the Petri discs depending on the bacterial growth. In this automation attempt of automatizing this petri-disc inspection, the project was split into two phases. 1. Building a vision system to detect bacteria, developing of an algorithm to quantify the growth, and registering the barcode in a registry. 2. The second phase is to design a robot system with programming and define the layout of the station. The development of an intelligent robotized machine vision automated system proves the concept of a major industrial practice that has the potential to significantly increase the quality and productivity of bacterial growth, with increased throughput.
|
|
| 5. |
- Rögnvaldsson, Thorsteinn, 1963-, et al.
(author)
-
ARC13 – Assessment of Research and Coproduction : Reports from the assessment of all research at Halmstad University 2013
- 2014
-
Reports (pop. science, debate, etc.)abstract
- During 2013, an evaluation of all the research conducted at Halmstad University was carried out. The purpose was to assess the quality of the research, coproduction, and collaboration in research, as well as the impact of the research. The evaluation was dubbed the Assessment of Research and Coproduction 2013, or ARC13. (Extract from Executive Summary)
|
|
| 6. |
|
|
| 7. |
- Ericsson, Mikael, 1975-, et al.
(author)
-
A look at the optimization of robot welding speed based on process modelling
- 2007
-
In: Welding Journal. - 0043-2296. ; 86:8, s. 238-244
-
Journal article (peer-reviewed)abstract
- Simulation tools to search for optimal process parameters are of great interest to reduce the number of experiments and thereby reduce cost and production time. In this paper, robot simulation has been used in combination with finite element simulations to optimize robot speed in order to minimize distortion while keeping complete joint penetration. In an earlier work performed by the authors, a finite element model was developed to predict heat transfer and residual stresses of parts with complex shapes. An interface between a robot simulation model and a finite element analysis model was also constructed. In this paper, an iterative method for robot speed optimization has been developed using MATLAB. The algorithm is designed to maintain complete joint penetration while maximizing productivity by utilizing the fastest weld speed. The method makes it possible to optimize the heat input to the component and thereby minimize component deformation for parts with complex shapes. The system was evaluated on stainless steel plates with varying thicknesses. Robot weld paths were defined off line and automatically downloaded to the finite element software where the optimization was performed. Simulations and experimental validations are presented.
|
|
| 8. |
- Ericsson, Mikael, 1975-, et al.
(author)
-
Non-contact Temperature Measurements using an Infrared Camera in Aerospace Welding Applications
- 2002
-
In: 6th International Conference on Trends in Welding Research. - Materials Park : ASM International. ; , s. 930-935
-
Conference paper (peer-reviewed)abstract
- This paper describes the application of infrared (IR) thermal imaging and temperature measurements in welding applications, both on single plane plates and on an aero engine turbine component with complex geometry. Temperature profiles were measured on the plates using thermocouples (T/C) in combination with an IR camera system, and the results were compared. The IR camera was used both in line scan mode (270 Hz scan frequency) and in full frame mode (1 Hz frame rate). Different methods of surface treatments have been tested to handle the problem of the surface emissivity variations due to oxidation during welding. Results from measurements using thermocouples and IR camera is presented in the paper as well as temperature measurements using the IR camera on an turbine exhaust case (TEC) engine component.
|
|
| 9. |
- Ericsson, Mikael, 1975-, et al.
(author)
-
Off-line programming of robots for metal deposition
- 2005
-
In: Trends in welding research. - 0871708426 ; , s. 629-634
-
Conference paper (other academic/artistic)abstract
- Metal Deposition (MD) is a rapid prototyping technique to build parts by depositing metal in a required fashion. When a complex-shaped part is to be built, a simulation tool is needed to define robot trajectories. Three different simulation-based methods for robot trajectory generation are introduced and compared in this study. The methods are; reversed milling, adapted rapid prototyping and application programming in a computer aided robotics software. All methods were shown capable of creating robot paths for complex shapes, with the CAR software approach being the most flexible. Using this method, the geometry to be built is automatically sliced into layers and a robot path is automatically generated. The method was tentatively evaluated and appears to provide a powerful technique in the design and optimisation of robot paths for MD. Experiments showed that it is possible to manufacture fully dense parts using an Nd-Yag laser.
|
|
| 10. |
|
|
