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498031
Automation
Description
Mind Map on Automation, created by smith_legend on 01/21/2014.
Mind Map by
smith_legend
, updated more than 1 year ago
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Created by
smith_legend
about 11 years ago
24
1
0
Resource summary
Automation
Needs for Automation
Higher quality and efficiency
Economical
Reduce labour costs and required skill
Allow modular design
Improve production cycle
Type of Automation
Hard
Standard Product
High volume
Expensive machines
Inflexible
Soft
Computer control
Non-standard
complex parts
F.M.S.
flexible
Numerical Control
C.N.C.
Closed Loop
Open Loop
Positioning
Indirect
Direct
Control
Point-to-Point
Contouring
Interpolations
Linear
Circular
Parabolic
Adaptive Control
Dynamic Feedback system
Adjust parameters based on sensor data
Optimse Production rate
Optimise Quality
Minimise cost and prevent tool failure
Industrial Robots
Configurations
SCARA
Limited D.O.F
Highly accurate
Linear/Cartesian
3 axis
Highly accurate
No Rotation
Parallel Kinematic
Very accurate
Low force
Parallel link
Low accuracy
Very fast
Anatomy
Joints
translational
Linear
Orthagonal
Rotary
Rotational
Revolving
Twisting
Drives
Electric
Pneumatic
Hydraulic
Links
Jointed arm
Wrist
End effector
Grippers
Basic Jaw/finger
Centric/Noncentric
springback/double action
Adaptive Gripping
Compensating units
Compliant: fragile processes
Force-Torque sensors
Positional feedback
Summary
General Purpose
Programmable machines
Super-human consistency and accuracy
Computer controller and interfaced
Control systems
Limted sequence
Mechanical stops
Playback with Point-point
work cycle=sequence of points
Playback with continuous
interpolation to execute paths
Intellligent control
sensor input response
decision making
communication
Programming
Lead-Through
no programming knowledge
limited logic capability
Offline
greater complexity
use of simulation
Sensors
Sensor fusion
Combine sensors - higher level of data
Types
Mechanical
Thermal
Electrical
Magnetic
Optical
Tactile Sensing
Continuous sensing of variable contact forces
Closed loop feedback
Touch sensing
Slip sensing
Photo-electric
Transmitter and reciever
IR or visible light
Colour
ID objects by colour
RGB lights
Part detection or orientation
Laser Scanning
Time of flight
Distance of surface
times light pulse round trip
Long distance/Low accuracy
Triangulation
Laser line/dots
Camera records position
Short distance/high accuracy
Visual sensing
Linear array
One dimensional
object presence
Matrix array
multiple features
feature measurement/component detection
Machine vison
Camera
Acquire image
Lighting
Lens
Microprocessor
Image processing
Extract information
Decision
Applications
In-line inspection
Part identification and sorting
Positional input for robot
Vision guided Robots
Robotic system
Vision system
Part handling
Automated material handling
Selection factors
Part shape/weight
distances
Path condition
Level of automation
Flexible material handling
Self Guided Vehicles
calculate own paths
Automated Guided Vehicles
follow pre-set paths
Material transfer systems
Part Tracking
Bar code
Magnetic Strips
R.F. tags
End effectors
allow robot-part interaction
Learning from humans
Learning algorithms
Targeted skills
Trajectory
Grasping
Direct Learning
Humans Perform
robot follows
Joysticks/manipulators
Raw sensor data
Indirect Learning
Robot observes and learns
Vision sensing
Reasoning logic
Decision making
Learns concept
high level learning methods
e.g. grasping hot coffee mug to filll
Human Robot collaboration
Semi-automation requires humans
safety
Dynamic safety system
Progressive light screens
Vision systems
Dynamic speed settings
Robot aware of human activity
Human factors
Time study
MODAPTS
work action code
Establish time for job
Establish best method and layout
Balance flow of work
Develop S.O.P and WI
Uses MOD to describe unit of human work
Virtual Engineering
Current
Requirements
Mechanical
Electrical
Commisioning
Finds problems too late
Validation done on real system
Long and expensive commissioning
Unknown production rate until running
Reduces on-site commissioning
Digital validation
PLC program validation (against virtual Equip)
reuse components from digital library
Virtual Commissioning
Emulation environment to validate control logic and test systems
Reduce design cost
testing and decision making
Emulation
validate PLC and user interface
Virtual Production System Analysis
Production rate
resource working rate etc
Support for human operations
Anthropomorphic settings
MODAPTS code
User benefits
Faster delivery of systems
Reduced startup time and ramp up
shorter time to market
Reduced overall project cost
system validated BEFORE its built
Avoid costly prototypes
Increase process effectiveness
Business
challenges
Awareness
Risk
Skills
Training
Steps to automate
Phase 1
Manual production
single independant workstations
Phase 2
Automated production stations
Manual handling
Phase 3
Automated Production
Automated handling
Benefits of automation
Improve quality and consistency
More staff utilization
reduces operating costs and waste
Increases output and yield
reduces labour turnover
increased flexibility
saves floor space
reduces long term capital costs
unmanned operations
Understanding costs
True cost of manual Ops
Reliability
Eliminating variability
Costs of reworks and waste
running costs
Maintenance costs
cost of floor space
Added productivity
Training
Cost of H&S compliance
Economical aspects
Type and cost of equipment
Cost of running and maintenance
Skill level and labour required
Production quantity
APPROPRIATE LEVEL OF AUTOMATION
selective automation
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