This document discusses the use of robots in the food processing industry. It begins by defining industrial robots according to the British Automation and Robot Association and International Standards Organization. It then provides a brief history of industrial robots, noting that the first modern robot was developed in 1959. The document outlines the various types of robots used in food processing, including articulated, SCARA, and delta robots. It discusses specific applications of robots in areas like cartoning, labeling, palletizing, and dairy, meat, and fruit/vegetable processing. Sensory robots like electronic noses and tongues are also summarized. In conclusion, the document discusses the benefits of robots for food manufacturers but also notes their high costs.
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Future of Food Processing Industry with Robotics
1. Presented By-
Aman Chhibber
M. Sc. Food Science & Technology
Roll No. RH1425A10
Registration No. 11409419
The Future of Food Processing
Industry
Masters Seminar (FOT 591)
On
2. Definition by:- British Automation and Robot Association (BARA)
An industrial robot is a reprogrammable device designed both
to manipulate and/or transport parts, tools, or specified
manufacturing implements through variable programmed
motions, for the performance of specific manufacturing tasks.
Definition by:- International Standards Organization (ISO)
An automatically controlled, re-programmable, multipurpose,
manipulative machine with several degrees of freedom,
which may be either fixed in place or mobile for use in
industrial automation applications.
3. In 1956, George Devol and Joe Engelberger established
a company called Unimation, a shortened form of the
words Universal Animation.
The first modern industrial robot, called Unimate, were
developed by George Devol and Joe Engelberger in
1959.
Engelberger formed Unimation and was the first to
market robots. As a result, Engelberger has been called
as the 'father of robotics.'
5. Potential Benefits From Robotics System
The requirement for reduced floor space
Good hygiene levels
Improved efficiency
Improved quality
The ability to work in cold or hostile environments
Increased yields and reduced wastage
Increased consistency
Increased flexibility for some operations
6. Aerospace
Automotive manufacturing and supply
Chemical, rubber and plastics manufacturing
Electrical and electronics
Entertainment-movie making
Food stuff and beverage manufacturing
Glass, ceramics and mineral production
Printing
Wood and furniture manufacturing
10. Types of Robots used in food industry
The main types of robots used in the food industry are
Portal robots:
Portal robots are mounted robotic systems that span a cubic
handling area by means of three linear axes
The actual robotic kinematics (the moving axes) are located
above the mounting
Articulated robots:
Articulated robots are industrial robots with multiple
interacting jointed arms that can be fitted with grippers or
tools
Articulated robots offer a high degree of flexibility
11. SCARAs:
Selective Compliance Assembly robot Arms, or SCARAs,
are a particular form of articulated robots
They have a single articulated arm that can only move
horizontally. They work in a similar way to human arms
and are often called ‘horizontal articulated arm robots’
Delta robots:
Spider-like delta robots a special form of parallel robot
typically have three to four articulated axes with
stationary actuators. Because their actuators are located in
the base, these kinds of robots have only a small inertia.
This allows for very high speeds and acceleration
(Khodabandehloo, 1996)
14. AREA OF WORK
Cartoning
Cleaning
Coding and Marking
Conveyors
Filling
Form Fill Seal
Inspection
Labelling
Packing
Palletising & De-
palletising
Wrapping
Handling
20. This is an area in which a multitude of products, applications
and packaging line set-ups. Frozen food, bakery and
confectionary, ice cream, meat and fish, cheese, pet food,
medical products, shampoo and perfume bottles
Delta robot is more commonly used
23. Yield control, legislation, difficulties in staff availability will increase commercial
pressures and encourage more meat processor organisations to automate, simply to
maintain throughput (Balkcom et al., 2008)
Initially many meat automation research projects developed spoke robots for their
particular task (Ranger et al ., 2004 )
The main aim of using an industrial robot is to reduce production costs and
occupational injuries while improving process efficiency and hygiene
Robotics in Meat Processing
24. • Primal cutting
(ARTEPP)
• Splitting • Deboning
• Removal of
hair or hide of
pig , cattle/ cow
(KUKA robot)
• Evisceration and
Dressing
26. Robotics in Fruits and Vegetables Processing
The first automated grading facilities for fruit and vegetables
became available more than 10 years ago
A grading system using robots has been developed for use
with deciduous fruits such as peaches, pears, and apples.
System automatically picks fruit from containers and
inspects all sides of the fruit (Kondo, 2003)
Robot technology has proved able to handle agricultural
products delicately and with a high degree of precision, and
to gather information to create a database of products every
season
27. Application in Fruits and Vegetables
Harvesting of food products :
Industrial Robot (1999) reports that, in the last 15 years,
mechanisation in farming has increased massively and the
labour force has shrunk proportionately
Kondo et al. (1996) developed a fruit harvesting robot for
use in Japanese agriculture systems which commonly
produce crops in greenhouses and in small fields
Reed et al. (2001) developed an end-effector for the
delicate harvesting of mushrooms
28. Ceres et al. (1998) designed and implemented a human
aided fruit-harvesting robot (Agribot)
The Agribot approaches the problem of fruit picking by
combining human and machine operations
31. Robotics in Dairy Industry
Robotic or automatic milking systems (AMS) are becoming
increasingly important in dairy farming
Automatic Milking Systems (AMS) milk cows any time without
the need for a human worker to be present
Cows choose when to be milked and detailed data is recorded by
the robot which can be accessed remotely by computer or mobile
device
Relatively small base, robotic milking has been predicted to
become increasingly common
DeKoning and Rodenburg (2014) estimated that Internationally
there were around 5,200 machines in operation in 2014
33. CROSS SECTION OF TEAT CUP
Teat Chamber
Rubber Liner
Stainless Steel
Shell
Pulsation
Chamber
Vacuum
Vacuum or
atmosphere
CROSS SECTION OF TEAT CUP
-Pulsator allows air
into chamber
-liner collapses
CROSS SECTION OF TEAT CUP
Collapsed liner
massages teat
causes milk flow
to stop
Liner collapses,
teat stretches
CROSS SECTION OF TEAT CUP
Vacuum removes
air, liner
opens
CROSS SECTION OF TEAT CUP
Milk removed
from teat by
vacuum when
liner is open
CROSS SECTION OF TEAT CUPCROSS SECTION OF TEAT CUP
Pulsator repeats
process
38. FUNCTION: Identify gases and quantify
concentrations (ppb- ppt)
APPLICATION: Air, Water, Soil, Plant
volatiles.
PRINCIPLE: SAW sensor(s) & Micro-GC
PROS: Quick (10 sec), Small, Sensitivity,
Remote option
CONS: so far none
COST: $19, 450 - $24, 950+
http://www.estcal.com/Products.html
ELECTRONIC NOSE (S)
39. http://www.businessplans.org/Vusion/Vusion00.html
FUNCTION: Identify chemical composition of
liquids
APPLICATION: Dissolved organics & inorganics,
Aquatic mold growth, Soil analysis
PRINCIPLE: 100’s of microsensors on chip,
Colors change depending on chemicals,
Results read by camera on a chip
PROS: Cheap, Disposable, Qualitative, Quantitative,
Several analyses simultaneously
CONS: Not commercially available in US
COST: Inexpensive
http://www.alpha-mos.com/proframe.htmL
ELECTRONIC TONGUE (ET)
40. What is an electronic tongue ?
Taste cell
Nerve cell
Taste compounds
Electric
responses
Brain
Taste
reception
Biological taste system
Artificial liquid system - electronic tongue
Sensor
responses ComputerSensor
array
Pattern
recognition
Y. Vlasov, A. Legin, A. Rudnitskaya, Anal. Bioanal. Chem. 2002, 373, 136.
41. It can be used to:
Analyze flavour ageing in beverages (for instance fruit
juice, alcoholic or non alcoholic drinks, flavoured milks…)
Quantify bitterness or “spicy level” of drinks or dissolved
compounds (e.g. bitterness measurement and prediction)
Quantify taste masking efficiency of formulations (tablets,
syrups, powders, capsules, lozenges…)
42. A schematic representation of
the artificial mouth apparatus
Journal of Agricultural and Food Chemistry vol:-May 5, 2008
Reproduce the result of
mastication
Chewing, the release of
saliva
The rate of food breakdown
And the temperature all
affect the flavor and smell
of food before it’s
swallowed.
Munch-o-matic: Scientists develop the Artificial Mouth
43. The $70 billion food and beverage industry & $24 billion FMCG
industry has an annual growth rate of 20 per cent.
With the Indian economy expected to grow at the rate of six to
eight per cent, the $14 billion logistic industry is poised for a leap
thereby providing a huge potential for palletizing robots.
This heavy duty palletizing Robots are claimed to safely load
goods of about 700 kg to 1300kg.
Palletizing robots are very useful in loading and wrapping big
and heavy goods & are typically used by FMCG, logistics and
consumer goods companies.
44. CONCLUSION
Robots will help Indian manufacturers to increase
productivity & quality, leading to increased profitability.
Sensory robots provides solutions for Accuracy, sensitivity
of the process and safety of Human Sensors.
The high acquisition costs continues to be the main barrier
for the expansion of this technique.
While factors related dependency of humans on robots need
to be considered seriously.
45. Erzincanli F. and Sharp J. M. 1997. Meeting the need for robotic
handling of food products, Food Control, Vol. 10 (4), : 185-190
Hillerton Eric J. 1997. Milking equipment for robotic milking,
Computers and Electronics in Agriculture (17): 41-51.
Luque de Castro M.D, Torres P. 1995. Where is analytical laboratory
robotics going? Trends in analytical chemistry, vol. 74 (10), :492 -
495.
Wallin Peter j. 1997 Robotics in the food industry : An update, Trends
in Food Science & Technology Vol. 81: 193-198.
Kondo N (2003) Fruit grading robot. In Proceedings of IEEE/ASME
International Conference on Advanced Intelligent Mechatronics on
CD-ROM, July 20–24 2003, Kobe, Japan