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Geometrical Defect Detection in the Wire Electrical Discharge Machining of Fir-Tree Slots Using Deep Learning Techniques
(MDPI, 2018-12-27)
Traceability is a critical issue in the manufacturing of aerospace components. However, extracting understandable information from huge amounts of data from manufacturing processes may become a very difficult task. In this ...
On the Influence of Infra-Red Sensor in the Accurate Estimation of Grinding Temperatures
(MDPI, 2018-11-26)
Workpiece rejection originated by thermal damage is of great concern in high added-value industries, such as automotive or aerospace. Surface temperature control is vital to avoid this kind of damage. Difficulties in ...
Unsupervised Machine Learning for Advanced Tolerance Monitoring of Wire Electrical Discharge Machining of Disc Turbine Fir-Tree Slots
(MDPI, 2018-10-08)
Manufacturing more efficient low pressure turbines has become a topic of primary importance for aerospace companies. Specifically, wire electrical discharge machining of disc turbine fir-tree slots has attracted increasing ...
An Original Tribometer to Analyze the Behavior of Abrasive Grains in the Grinding Process
(MDPI, 2018-07)
Manufacturing of grinding wheels is continuously adapting to new industrial requirements. New abrasives and new wheel configurations, together with wheel wear control allow for grinding process optimization. However, the ...
On the development and evolution of wear flats in microcrystalline sintered alumina grinding wheels.
(Elsevier, 2018-03-26)
Wheel wear is a critical issue for grinding process optimization. This is why it receives so much attentionboth from Academia and industry. The development of new generations of abrasive wheels requiresimproving the ...