The “Elektrifierad Infrastrukturbyggnation” was a feasibility study conducted in close collaboration between Volvo Construction Equipment, Lund University and Blekinge University of Technology, funded by the Swedish Transport Administration. It aimed at investigating the conditions for carrying out major infrastructure projects emission- and fossil-free. The E20-Vårgårda-Bälinge road section was chosen as...
Produktutvecklingslabbet bjöd in till en eftermiddag i Karlskrona Makerspace där ungdomar fick delta i årets sportlovsaktivitet; att i team klura på design av en pod för Hyperloop och sedan implementera sina idéer.
Omsri Kumar Aeddula presented his licentiate thesis entitled “Data-Driven Decision Support Systems for Product Development – A Data Exploration Study Using Machine Learning” in front of an hybrid audience of online listeners and physically present people. In all a crowd of some 50 participants.
BTH Maskintekniks studenter tog i årets utdelning av Sparbanksstiftelsen Kronans stipendieutdelning för bästa examensarbete hem tre av sex priser.
October 5 is the “Swedish Mining Innovation Program day – a digital drop in/drop out event” between 9.45-14.45
Abstract: The paper presents a Model-Driven approach for Product-Service System (PSS) Design promoting an increased digitalization of the PSS design process based on the combination of data-driven design (DDD) activities and value-driven design (VDD) methods. The approach is the results of an 8-year long research profile named (omitted for blind...
Wu Peng is an industrial PhD candidate at BTH. Working as an R&D Engineer with Sanndvik Coromant he’ll now “double” by doing his PhD with a focus on developing mechanistic cutting force models based on testing and mathematical modelling.
I årets Stanfordprojekt, där studenter samarbetar med studenter från Stanford University, har studenterna tagit fram en lösning som gör att företag kan spåra och återvinna material.
The project aligns with the BTH strategy of enlarging the recruitment base for distance studies including national and international students, capitalizing on the engineering and pedagogical competencies developed during a pluriannual research profile on Model-Driven Development and Decision Support (MD3S). In line with the BTH strategic directions, the project shall...
Abstract A data analysis method based on artificial neural networks aiming to support cause-and-effect analysis in design exploration studies is presented. The method clusters and aggregates the effects of multiple design variables based on the structural hierarchy of the evaluated system. The proposed method is exemplified in a case study...
