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Item type:Publication, Access status: without files , Improving Efficiency and Sustainability Through Predictive Tool Wear Monitoring During Manual Drilling of CFRP(2023-11-18); ; ; ; Aircraft assembly involves many high-precision rivet holes, with around one-third drilled manually by experienced workers. Wireless electrical machines are increasingly replacing pneumatic drilling machines to reduce energy consumption. Nevertheless, the lifespan of the cutting tools varies between 20 and 70 drill holes in carbon fiber reinforced polymer (CFRP) depending on the individual experience and constitution of the worker, resulting in a large waste in cemented carbide. This article proposes a method that uses the internal sensors of the drilling machine to predict tool wear during manual drilling. The main challenge is the rapid wear of the tools and the unknown feed rate, which depends on the individual workers’ constitution and experience. By predicting tool wear, this method can help reduce waste and improve the efficiency, sustainability, and precision of manual drilling operations in aircraft structural assembly.Publicationtype: Conference Paper70 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: with files , Developing a method for estimating the computational resources required for optimising energy supply system models when using different software tools through a framework for input data harmonisation(2023-03-20)This thesis describes and shows results of a method for comparing the computational resources required by different modelling tools to optimise energy system models. The method relies on a software called Tessif, a framework that unifies the data input and output of multiple Free and Open Source Software (FOSS) energy system modelling tools. Multiple energy system models are created in tessif through which they are then transformed to and optimised with each of the investigated modelling tools, which are Calliope, Fine, Oemof and Pypsa. The time elapsed while doing this and the memory usage are measured. Additionally the number of constraints that are used by the modelling tools to describe the models are recorded. The number of constraints can be used to assess the complexity of a model and is used in this thesis to allow the comparison of results of different energy system models. The measurements show that with the exception of Calliope the resource usage for the investigated modelling tools scales linearly and is on a relatively similar level. Both Calliope’s memory usage and the required time are significantly higher. The measurements further show that the difference in resource usage directly correlates with the difference in the number of constraints with the exception of Calliope’s memory usage which increases quadratically while the corresponding number of constraints only increases linearly.Publicationtype: Bachelor Thesis131 425