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Research Spotlight; Alexander Barlo

Alexander Barlo is since early 2021 a PhD candidate in Mechanical Engineering at BTH. He is working with failure prediction in Sheet Metal Forming (SMF) Accurate failure prediction in Sheet Metal Forming (SMF) is a core task for all Computer Aided Engineering (CAE) departments within e.g., the automotive industry. Simulation based failure prediction of the […]

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Applied simulation and internet of things for reduced waste during sheet metal forming

Together with Volvo Cars (Olofström), Telenor Connexion and Blue Science Part as coordinator, a research and application project has been carried out within the “Test arena Blekinge” with the aim of transforming theory into practically applicable knowledge in Industry 4.0. Industrial digitalisation has been going on since the 1990s, and with the development of the […]

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Tillämpad simulering och internet of things för minskat svinn vid plåtpressning

Tillsammans med Volvo Cars (Olofström), Telenor Connexion och Blue Science Part som koordinator har ett forsknings- och tillämpningsprojekt utförts inom “Test-arena Blekinge” med syfte att omvandla teori till praktisk tillämpbar kunskap inom Industri 4.0. Den industriella digitaliseringen har pågått sedan 90-talet och med senaste decenniets utveckling av “sakernas Internet” eller Internet of Things så öppnar […]

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A hybrid data- and model-based approach to process monitoring and control in sheet metal forming

Abstract The ability to predict and control the outcome of the sheet metal forming process demands holistic knowledge of the product/process parameter influences and their contribution in shaping the output product quality. Recent improvements in the ability to harvest in-line production data and the increased capability to understand complex process behaviour through computer simulations open […]

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Congratulations Sravan Tatipala, Licentiate in Mechanical Engineering!

Sravan Tatipala presented his licentiate thesis entitled “Sheet metal forming in the era of industry 4.0: using data and simulations to improve understanding, predictability and performance” in front of an interested audience both present, and via online, on Friday afternoon. Sravan presented the context and motivation for his research and then took the audience through […]

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Data-driven modelling in the era of Industry 4.0: A case study of friction modelling in sheet metal forming simulations

ABSTRACT With growing demands on quality of produced parts, concepts like zero-defect manufacturing are gaining increasing importance. As one of the means to achieve this, industries strive to attain the ability to control product/process parameters through connected manufacturing technologies and model-based control systems that utilize process/machine data for predicting optimum system conditions without human intervention. […]

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Introductory study of sheet metal forming simulations to evaluate process robustness

ABSTRACT The ability to control quality of a part is gaining increased importance with desires to achieve zero-defect manufacturing. Two significant factors affecting process robustness in production of deep drawn automotive parts are variations in material properties of the blanks and the tribology conditions of the process. It is imperative to understand how these factors […]

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