Example Reflection- Learning Launch 

 Challenge 

 I am a Mechanical engineering student with an avid interest in aerospace and fluid   dynamics . For this reason , I am also the part of my college official Aero team , we design RC   planes and quadcopters to satiate our curiosity and to take part in competitions worldwide .   Since , we are new to the game of designing radio - controlled planes and quadcopter , there is   no better way to do work than to do it lean . There are no set of rules and one can follow   whatever that gives them a proper design of an aeroplane , the whole process is trial and   error with lots and lots of research and trade - offs . Our challenge at this stage was to employ   a lean approach to design and eventually fabricate a 1000 mm wing span aeroplane with a   payload carrying capacity of 500 g. The design was in accordance with the competition   stringent rules and regulations which required for an impeccable approach to its   development . 

 Selection 

 Learning launch is a powerful tool when it comes to testing idea and prototype in the real   word environment . It provides and quick and a cheap analysis of the prototype , which is an   essential step in designing . Designing a product or service is not a streamline process , it   includes numerous amounts of simulations and feedbacks . Thus , this approach gives us the   flexibility to design the plane and simulate it using CFD and then test it in real world   environment for its stability and robustness . 

 Application 

 For our first learning launch , we focused on designing the Rc plane using some   mathematical formulae and once we got the required area of the wing , vertical and   horizontal stabilizers , we moved to calculating the length of the fuselage and the position of   wing placement on it . We balanced the moment at its neutral point to achieve a zero- pitching moment . This design was then tested using computational fluid dynamics   approach , which gave us the result in coefficient of lift ( Cl ) and drag ( Cd ) . Our main aim was   to increase the ratio of Cl / Cd , so we ran numerous simulations on various aerofoils to   achieve the highest ratio of lift and drag . As it is evident , it 's not a streamline approach to   design , hence learning launch is the best tool one can use to fulfil the design criteria . 

 Once we successfully tested the design , we moved on to the most important phase of its   fabrication . Till now we had the design which was computer simulated but to know how it   performs in real - world we must do a test flight for it . Here , we employed our second   learning launch . Since , test flights are precarious and given the limited amount of time and   resources it becomes difficult to fabricate the plane time and again . Thus , we came up with   an idea of using the same design criteria but instead of balsa wood to fabricate the plane ,   we used a much more flexible and shock proof material : coroplast ( Although more in 

 weight ) . This gave us a punching bag which can used to validate our hypothesis , by doing   multiple test flights without worrying much about the plane crash repercussions . This   enabled us to do trial in a much cheaper way and to adjust our design accordingly . 

 Insights 

 By applying this tool our team verified the design assumptions , it gave us a more open and a   wide outlook to possibilities with a lot of flexibility to innovate and test faster . Using this   tool , we were now able to break an impasse between the trade - offs . We found out from   numerous test flights that to achieve a better stability our design needs to address some   latent needs which we missed earlier in our design phase . Those of them are the response   of the servo - motors and the unanticipated weight of the plane . We were also able to be find   more robust way of holding the motor mount of the plane fuselage , through many failed   landings . Thus , learning launch proved to be an effective tool letting us to fail in a cheaper   way and to gain great deal of knowledge about the uncertainties that we may face in real   world . 

 Approach 

 This tool has been very useful for our team in our design of Rc planes , hence we are inclined   to use this tool in other aspects into which our team deals , like robotics and quadcopter .   Similarly , as designing a Rc plane a design of a quadcopter requires many failed attempts to   achieve perfection . We aim to use this to enhance the design of the quadcopter and to   reduce the damage of the prototype in test flights . Also , we are hoping to use visualization   as a tool for structural analysis of quadcopter , which will help us to differentiate higher   stress area with a lower stress one . This will further help us to change the topology of the   design according to the critical points . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Example Reflection- Learning Launch 

 Challenge 

 I am a Mechanical engineering student with an avid interest in aerospace and fluid   dynamics . For this reason , I am also the part of my college official Aero team , we design RC   planes and quadcopters to satiate our curiosity and to take part in competitions worldwide .   Since , we are new to the game of designing radio - controlled planes and quadcopter , there is   no better way to do work than to do it lean . There are no set of rules and one can follow   whatever that gives them a proper design of an aeroplane , the whole process is trial and   error with lots and lots of research and trade - offs . Our challenge at this stage was to employ   a lean approach to design and eventually fabricate a 1000 mm wing span aeroplane with a   payload carrying capacity of 500 g. The design was in accordance with the competition   stringent rules and regulations which required for an impeccable approach to its   development . 

 Selection 

 Learning launch is a powerful tool when it comes to testing idea and prototype in the real   word environment . It provides and quick and a cheap analysis of the prototype , which is an   essential step in designing . Designing a product or service is not a streamline process , it   includes numerous amounts of simulations and feedbacks . Thus , this approach gives us the   flexibility to design the plane and simulate it using CFD and then test it in real world   environment for its stability and robustness . 

 Application 

 For our first learning launch , we focused on designing the Rc plane using some   mathematical formulae and once we got the required area of the wing , vertical and   horizontal stabilizers , we moved to calculating the length of the fuselage and the position of   wing placement on it . We balanced the moment at its neutral point to achieve a zero- pitching moment . This design was then tested using computational fluid dynamics   approach , which gave us the result in coefficient of lift ( Cl ) and drag ( Cd ) . Our main aim was   to increase the ratio of Cl / Cd , so we ran numerous simulations on various aerofoils to   achieve the highest ratio of lift and drag . As it is evident , it 's not a streamline approach to   design , hence learning launch is the best tool one can use to fulfil the design criteria . 

 Once we successfully tested the design , we moved on to the most important phase of its   fabrication . Till now we had the design which was computer simulated but to know how it   performs in real - world we must do a test flight for it . Here , we employed our second   learning launch . Since , test flights are precarious and given the limited amount of time and   resources it becomes difficult to fabricate the plane time and again . Thus , we came up with   an idea of using the same design criteria but instead of balsa wood to fabricate the plane ,   we used a much more flexible and shock proof material : coroplast ( Although more in 

 weight ) . This gave us a punching bag which can used to validate our hypothesis , by doing   multiple test flights without worrying much about the plane crash repercussions . This   enabled us to do trial in a much cheaper way and to adjust our design accordingly . 

 Insights 

 By applying this tool our team verified the design assumptions , it gave us a more open and a   wide outlook to possibilities with a lot of flexibility to innovate and test faster . Using this   tool , we were now able to break an impasse between the trade - offs . We found out from   numerous test flights that to achieve a better stability our design needs to address some   latent needs which we missed earlier in our design phase . Those of them are the response   of the servo - motors and the unanticipated weight of the plane . We were also able to be find   more robust way of holding the motor mount of the plane fuselage , through many failed   landings . Thus , learning launch proved to be an effective tool letting us to fail in a cheaper   way and to gain great deal of knowledge about the uncertainties that we may face in real   world . 

 Approach 

 This tool has been very useful for our team in our design of Rc planes , hence we are inclined   to use this tool in other aspects into which our team deals , like robotics and quadcopter .   Similarly , as designing a Rc plane a design of a quadcopter requires many failed attempts to   achieve perfection . We aim to use this to enhance the design of the quadcopter and to   reduce the damage of the prototype in test flights . Also , we are hoping to use visualization   as a tool for structural analysis of quadcopter , which will help us to differentiate higher   stress area with a lower stress one . This will further help us to change the topology of the   design according to the critical points .
### Output: 