Simulated Assembly Line and Processing Workstation

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Presentation transcript:

Simulated Assembly Line and Processing Workstation Team 520

Team Introductions Cheyenne Laurel Project Manager David DiMaggio   Cheyenne Laurel Project Manager David DiMaggio Design Engineer Boluwatife Olabiran Software Engineer JoEll Williams Hardware Engineer Nataajah Taylor Test Engineer David DiMaggio

Sponsor and Advisor TCC Representative Bobette Stubblefield Dylan Sutton ME Advisor Dr. Dorr Campbell David DiMaggio

Figure 1: Advanced Manufacturing and Training Center at TCC Objective Tallahassee Community College (TCC) requires an assembly line system to be used in their Advanced Manufacturing and Training Center as an educational tool Will be used as a Mechatronics certification tool Must allow for user to toggle failures in the hardware and software to allow for student diagnosis and repair Figure 1: Advanced Manufacturing and Training Center at TCC David DiMaggio

Project Background

House of Quality Determined the most important engineering characteristics to be: PLC Programming Accuracy of Physical Property Sorting Accuracy of Material Detection Accuracy of Size Detection David DiMaggio

Functional Decomposition Green- Overall Function Goal Blue- 3 Main Functions to be achieved Pink- Secondary Functions Orange- Physical Components Yellow- Measurable Inputs and Outputs Bolu Olabiran

Concept Generation 

Datum Concept Photoelectric sensor Electric Actuator 2 Diverter Arms 2 Capacitive sensors  Actuator pushes object to second conveyor belt based on size  Bolu Olabiran

Concept 1 Photoelectric sensor 3 Diverter Arms 3 Stepper Motors 2 Capacitive sensors First diverter arm guides object to second conveyor belt based on size Bolu Olabiran

Concept 3 2 Photoelectric Sensor 1 Capacitive Sensor 1 Diverter Arm 2 Conveyor Belts Diverter arm programmed at angles to guide objects in corresponding bins  Bolu Olabiran

Concept 4 1 Photoelectric Sensor 2 Solenoids 2 Conveyor Belts Diverter Arm  Track to guide objects near sensors Solenoids are the physical movers Bolu Olabiran

Concept Selection

Pugh Chart Cheyenne Laurel

Embodiment

Manufacturing Technology Photoelectric Sensor: Uses a light transmitter and receiver to test if object is in sensing area, as well as detecting size Capacitive Proximity Sensor: Detects the capacitance of nearby objects without physical contact to determine material Inductive Proximity Sensor: Uses a magnetic field to detect whether an object is metal or not Figure 2: Photoelectric Sensor Figure 3: Capacitive Proximity Sensor Figure 4: Inductive Proximity Sensor Cheyenne Laurel

Manufacturing Technology Dorner 2200 Conveyor Belt: Small Part Handling and Positioning Allen-Bradley MicroLogix 1100: 2 analog inputs, 10 digital inputs and 6 digital outputs Figure 6: Allen-Bradley MicroLogix 1100 PLC Figure 5: Dorner 2200 Conveyor Belt Cheyenne Laurel

Figure 7: Assembly Line CAD Project Design Consists of a multiple step process: Step 1: An object is placed on the conveyor belt Step 2: Capacitive and Photoelectric sensors detect if object is present, as well as size and material Step 3: Diverter arm attached to a motor moves the object to correct position for sorting based off of received sensor information Figure 7: Assembly Line CAD Cheyenne Laurel

Figure 8: Current Building Status Both conveyors are assembled and with heights adjusted to match the final concept First sensor mount has been 3D printed and screwed into place Figure 9: Sensor Mount Figure 8: Current Building Status Cheyenne Laurel

Future Work Re-order new Servo motor (changed from Stepper motor to Servo Motor) Acquire diverter arm Acquire bins and boxes for sorting High Resolution Graphic Risk Assessment Poster Design Operational Manual Engineering Design Day – Presentation and Poster Final report Prototype demo Cheyenne Laurel

References CEIA , THS, Metal Detector, 2011, Serial number 20800450034, aperture 550 x 75mm, belt 2750 x 500mm .This items will be. (n.d.). Retrieved from https://www.go-dove.com/en/auction/view?id=13216983 “48mm Retroreflective Cylindrical Photoelectric Sensor; Max. Sensing Distance: 3.0m.” Grainger - For the Ones Who Get It Done., www.grainger.com/product/TELEMECANIQUE-SENSORS-48mm-Retroreflective-Cylindrical- 32J327?searchBar=true&searchQuery=32J327. “Detection Based on ‘Light‘What Is a Photoelectric Sensor?” Main Types of Microscopes: Types & Principle|KEYENCE Biological Fluorescence Microscopes, www.keyence.com/ss/products/sensor/sensorbasics/photoelectric/info/. “100 Hz Capacitive Cylindrical Proximity Sensor with Max. Detecting Distance 8.0mm.” Grainger - For the Ones Who Get It Done., www.grainger.com/product/OMRON-100-Hz-Capacitive-Cylindrical-2AKD8?searchBar=true&searchQuery=2AKD8. “1200 Hz Inductive Cylindrical Proximity Sensor with Max. Detecting Distance 8.0mm.” Grainger - For the Ones Who Get It Done., www.grainger.com/product/EATON-1200-Hz-Inductive-Cylindrical-40HT96?searchBar=true&searchQuery=40HT96.

Questions?