Abstract COVID-19 may cause severe pneumonitis and trigger a massive inflammatory response that requires ventilatory support. The intensive care unit (ICU)-mortality has been reported to be as high as 62%. Dexamethasone is the only of all anti-inflammatory drugs that have been tested to date that has shown a positive effect on mortality. We aim to […]
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This postdoctoral position is linked to ongoing research projects at the Department of Mechanical Engineering within simulation of sheet metal forming. Research focus is to achieve a more accurate failure prediction in the sheet metal forming process through a model and simulation-driven strategy. Sharing
Read More The work consists of teaching within and developing our educational programs, as well as participating in and initiating research projects within the department’s research area with a special focus on simulation support for sheet metal forming. Sharing
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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. WHO ARE YOU AND WHAT IS YOUR BACKGROUND? My name is Wu Peng and I’m from […]
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DNES, an integrated platform solution that supports a timely, safe, and more sustainable management of construction materials in and between construction sites, was presented at the Stanford University final design exhibition EXPE last Thursday. Three final-year mechanical engineering students from BTH along with their four American collaborators from Stanford University’s mechanical engineering program presented and […]
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Abstract Purpose – This paper aims to present a dual-perspective framework for maintenance service delivery that should be used by manufacturing companies to structure and manage their maintenance service delivery process, using aggregated historical and real-time data to improve operational decision-making. The framework, built for continuous improvement, allows the exploitation of maintenance data to improve the knowledge of service […]
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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 showing that the predictive capability […]
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Strong research and profiling towards digitalization and sustainability in engineering renders strong application numbers. As we recently reached the deadlines for admission for the 2021 autumn, we can see that the application numbers for educations at BTH are strongly positive compared to recent years. We have a total of 8,137 applicants for our programs, which […]
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