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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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Industry 4.0, Nakajima Test, Elderly healthcare: Cross-disciplinary projects in the yearly Project Course for Exchange Students.

Two months to apply in “real life” what has been learned during the years of university education, starting from a plan to the delivery of a final solution. This was the task the international students participating in the MT1490 yearly project course. Three teams of students, have on January 10th presented the results of multidisciplinary […]

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Shaping the research agenda for Service Engineering in the era of Industry 4.0

Industry 4.0 is commonly referred as the 4th Industrial Revolution. Automation and data exchange technologies will trigger profound changes for manufacturing and logistic organizations, and intelligent assistance will give new meaning to employees’ work. Prof. Tobias Larsson and Marco Bertoni took part to the “Service Engineering in the era of Industry 4.0” workshop organized by the […]

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