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

January 12, 2020

Reading Time: < 1 minute 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 […]

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

August 8, 2018

Reading Time: < 1 minute 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. […]

Introductory study of sheet metal forming simulations to evaluate process robustness

June 29, 2018

Reading Time: < 1 minute 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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