Airbus designs, manufactures and sells civil and military aerospace products worldwide and manufactures aircrafts in the European Union. One of the most important task in the aerospace market is the optimization of designs as more payload means more fuel and therefore higher costs. This is why the design of each part of airplanes is continuously re-looped through redesign cycles to increase strength while reducing material through an optimization of shapes. All of these kind of analysis are in fact virtual 3D models which make stress simulations possible with reasonable computational timings. With the availability of a ever growing computational power, this process has become an important part of Airbus design division.
During my experience in Airbus at the German facility of Donauwörth, I worked extensively on revising fatigue reports derived from optimization analysis for the following airplanes:
Airbus A380-800 PAX door brackets;
Airbus A350 XWB doors brackets;
Note: One of the limits encountered during this assignments was the limit of 65k rows resolution of MS Excel which wasn’t powerful enough to contain a single batch of data. Although today MS Excel offers much greater capacity of 1 million rows, more modern tools are available. This is one of the reasons I dived into Python to discover powerful tools such as Panda, where large data manipulation batches are easier to perform.
