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The influence of industry 4.0 on product design and development: Conceptual foundations and literature review

Abstract Since its introduction in 2011, industry 4.0 has been coined the“4th industrial revolution” following mechanization, industrialization and IT/automation as the first three, and represents the current trend of automation technologies (cyber‐physical systems, internet of things, cloudcomputing, etc.,) in the manufacturing industry, with their potential for disruption of the manufacturing paradigm as we know it. […]

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Distiguished paper award at ICoRD ’21

Jan 7-10 was the International Conference on Research into Design, ICoRD ’21 hosted by IDC School of Design Jan 7-10 2021, Indian Institute of Technology, Bombay, Mumbai, India. In the closing the paper “The influence of industry 4.0 on product design and development: Conceptual foundations and literature review” by Sravan Tatipala, Johan Wall, Christian Johansson […]

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Towards Improving Process Control in Sheet Metal Forming: A Hybrid Data- and Model-Based Approach

Abstract Ability to predict and control involved parameters and hence the outcome of sheet metal forming processes demand holistic knowledge of the product/-process parameter influences and their contribution in shaping the output product quality. Recent improvements in the ability to harvest inline production data and the capability to understand complex process behaviour through computer simulations […]

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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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Beslutsstödsmiljö för produktutveckling

En liten glimt in i den beslutsstödsmiljö för produktutvecklande företag som utvecklas inom forskningsprojektet “model driven development and decision support” tillsammans med våra forskningspartners. Förmåga att redan i konceptfasen, innan man bygger produkterna, kunna förstå kostnad, värde samt miljöpotential mm över hela livscykeln skapar enorma möjligheter att prova olika scenarios och lösningar. Videovägg och touchscreen […]

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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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