ENBIS-18 in Nancy

2 – 25 September 2018; Ecoles des Mines, Nancy (France) Abstract submission: 20 December 2017 – 4 June 2018

Industry 4.0: How to Support Complex Glass Construction by Statistics

5 September 2018, 10:50 – 11:10

Abstract

Submitted by
Eva Scheideler
Authors
Scheideler, Eva (OWL University of Applied Sciences), Ahlemeyer-Stubbe, Andrea (Data Mining and More)
Abstract
Large domestic and commercial buildings are typically fitted with extensive insulating glass units. The strength and resistance of these units must be designed to adhere to strict safety regulations. Meta models have been shown to be effective in predicting essential parameters related to safety aspects of glass. In ENBIS 16 we presented the first results regarding meta-models for predicting essential parameters regarding plane glass sheets. We have now extended the meta-model method to curved insulating glass units which have considerably greater complexity. The results are presented in a tool that is easy to use without expert knowledge. We show how the tool enables sales staff and architects to check quickly if chosen glass fulfills safety regulations at an early stage of planning. Such a planning tool saves time and money; the financial impact is large and because we can now deal with both plane and curved glass sheets, the increased flexibility leads to an even wider application and financial benefits.

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