EG1003: Introduction to Engineering and Design Semester-Long Design Project.

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Presentation transcript:

EG1003: Introduction to Engineering and Design Semester-Long Design Project

Project Introduction  Project duration: 10 weeks  Teams of 2-3 people  Projects to choose from:  Supermarket  Train Guidance System  Robot (Seven types)

Project Grading NOTE: The SLDP counts toward 30% of your course final grade! Item% of Grade Benchmarks and Commissioning 50% Final Presentation50%

 Benchmarks:  Completion of a specified portion of the project  2 Benchmarks throughout semester  Refer to syllabus for due dates  Penalties for not completing on time  Commissioning:  Completion of all required tasks  Last phase of project  Refer to syllabus for due dates  Failure to commission will result in penalties (Partial Commissioning) Project Grading

 Project Submission:  Hand in Technical and Managerial related documents  Must be received in order to obtain SLDP Grade (30%)  Any missing items will result in penalties  Refer to syllabus for deadline  Refer to Submission Guidelines Project Grading

SLDP Options Seven Robot Variants Supermarket Logistics System Digital Logic Train Guidance System

SLDP Options Robot Variants

SLDP Options  Retrieve and analyze water salinity readings to determine if life can exist on Mars  Collect two different readings of water sources with the Vernier salinity sensor  Return to the space shuttle at the landing site once both readings are taken Mars Rover Robot (MRR)

SLDP Options Mars Rover Robot (MRR) Extra Credit:  Obtain a third water source reading and return it to the space shuttle  Robot travels down into and over the crater  Robot travels up the step side of the hill

SLDP Options Search & Recovery Robot (SRR)  Retrieve lost space module from moon and return safely  Robot must move autonomously over a pre-selected route  Retrieve power supply module and return to space shuttle  The robot must fit in a start area that is 25cm x 25cm

SLDP Options Search & Recovery Robot (SRR) Extra Credit:  Retrieves modules and returns them to the space shuttle

SLDP Options Bomb Disarming Robot (BDR)  Day and night courses  Robot must be able to autonomously navigate the obstacle course provided  Disarm the bomb while avoiding any decoy bombs  Robot must fit in a start area that is 25cm x 25cm x 20cm

SLDP Options Bomb Disarming Robot (BDR) Extra Credit:  Disable and retrieve triangulation device(s)

SLDP Options Security Infiltration Drone (SID)  Open gates using barcode scanners to infiltrate enemy headquarters  Retrieve data canister and deliver it to extraction point  The robot must fit in a start area that is 25cm x 25cm

SLDP Options Security Infiltration Drone (SID) Extra Credit:  Retrieve data canisters (with a robotic arm) and bring them to extraction point

SLDP Options Retrieval & Delivery System (RDS)  Retrieve fuel cells  Deliver them to three different hospitals  Hospitals consumes power at different levels of efficiency  Deliver a total of at least 200 hours of battery life

SLDP Options Retrieval & Delivery System (RDS) Extra Credit:  Additional points rewarded for additional fuel cells accumulated past the 200-hour requirement

SLDP Options Disaster Relief Robot (DRR)  After tragedy strikes, clean the affected area, rescue workers, and remove hazardous waste  Robot must perform at least five of the six tasks  Must return back to base in 5 minutes or less  The robot must fit in a start area that is 25cm x 25cm

SLDP Options Disaster Relief Robot (DRR) Extra Credit:  Complete all six tasks, retrieve extra fuel cells, and activate a second power cutoff station

SLDP Options Autonomous Underwater Vehicle (AUV)  Construct a robot that functions underwater  Oil spill task  Perform tasks for a total of 100 points  AUV must fit into a 1’ x 1’ x 1’ box  Must use waterproofed sensors and NXT case

SLDP Options Autonomous Underwater Vehicle (AUV)  Oceanographic Sensor – 20 points  Seismic Reading – 10 points  Oil spill task – 40 points  Marine Plant Samples  5 points per plant released  10 points per plant recovered  Data Canisters – 10 points each

SLDP Options Supermarket Logistics System (SLS)  Design a customer-friendly supermarket with AutoCAD  Design for a 400’ x 400’ lot  Create scaled 3-D model (actual or CAD)  Create security, lighting, and temperature systems for store using LabVIEW  Calculate building and maintenance costs

SLDP Options Supermarket Logistics System (SLS) Extra Credit:  Incorporate LEED certification into the design of supermarket

SLDP Options Railroad Train Guidance System (RTGS)  Design a logic system to avoid obstacles by selecting an optimal path  Guide train from one end of the track to the other  Avoid collisions with other trains and obstructions

SLDP Options Railroad Train Guidance System (RTGS)  Implement digital logic program using LabVIEW to control the train track

3D Printing Extra Credit  Design your own SLDP team logo using the techniques practiced in Lab 1B  Be creative with your design (2 pts EC)  Your design will need approval by the 3D printer TAs who will print it for you  Multiple colors are available: purple, black, white, yellow, red, green, pink, light blue, blue, clear

3D Printing Extra Credit  Constraints:  Dimensions  1”×3”×½”  2 colors max  No copyrighted logos  Must be attached to robot or worn as pin during final presentation  Must be done before any advanced printing

3D Printing Extra Credit ADVANCED  An experimental opportunity to create a prototype of a custom, 3D-printed robot part (4 pts EC)  Constraints: (Rules subject to change, no guarantee)  Must be approved by 3D printer TA  Maximum 2-hour print time and 3 attempts  YOU MUST HAVE A CONTINGENCY PLAN if the piece does not work or cannot be printed  You may also use print parts at NYU School of Engineering temporary makerspace (opens October 1 st, Rogers Hall 2 nd floor) after TA approval

3D Printing Extra Credit ADVANCED

Closing  Refer to manual.eg.poly.edu for details  Think about which project interests you  Brainstorm ideas  Speak with professors and TAs regarding projects