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Content available remote Damage analysis of composites integrated with RFID chip used in aeronautics
EN
Purpose: A new approach to production process by direct integration of the RFID (Radio-frequency identification) chips into the composite parts used during the manufacturing (moulding) process of the composite parts has been presented. This research aims a new application of RFID technology and measurement of the resistance of RFID chips integrated into composite parts under X-ray diffraction beams and also impact choc (crash test). This work gives the actual results of an applied research carried out in laboratory (Supmeca-Paris) scale and also in industrial scales carried out in the manufacturing department of the French aeronautic company (Eurocopter-Paris). Design/methodology/approach: Application of RFID technology in manufacturing of the composite parts is related to the continuous quality improvement of manufacturing company. Findings: RFID Chips integrated directly in the composite parts during the manufacturing process can improve the efficiency of the manufacturing process and also decrease the lead time and processing time. This application in manufacturing of the composite parts will enable to achieve success for the aeronautic companies. Research limitations/implications: In the future, Industrial companies can transform their manufacturing processes by applying RFID technology that increases manufacturing cycle time, maximize efficiency and eliminate unnecessary steps. Practical implications: Using RFID technology in production will help industrial companies and also customers reduce their time and operating costs significantly and increase employee productivity. This application can also decrease lead time and make faster progress toward their sustainability goals. Originality/value: A detail comparison was made between two approaches; conventional production system and new approach by integrating RFID in composite part. At the end of analysis, time saving in the production was calculated as 135 minutes (more than 2 hours) by following real data.
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