SlideShare a Scribd company logo
1 of 10
Download to read offline
DETERMINATION OF AVERAGE GRAIN SIZE AND
DISTRIBUTION
Sand is the principal molding material in the foundry shop where
it is used for all types of castings, irrespective of whether the cast metal
is ferrous or non-ferrous, iron or steel. This is because it possesses the
properties vital for foundry purposes.
Molding sand is specified in terms of the size and shape of the
silica grains it contains, the clay content and the moisture content.
Among these characteristics in this report we will discuss about shape
and size of sand grains.
SIZE AND SHAPE OF GRAINS:
Sand grains are of paramount importance in molding sand
because they impart refractoriness ,chemical resistivity ,and
permeability to the sand .They are specified according to their average
size and shape. the finer the grains ,the more intimate will be the
contact and lower the permeability. However, fine grains tend to fortify
the mold and less than its tendency to get distorted. The shapes of the
grain may vary from round to angular (as shown in fig.) the grains are
classified according to their shape. The shape can be determined by
observing the grains under a magnifying glass or microscope.
1) Rounded grains :
These grains have the least contact with one another in a
rammed structure, thereby making the sand highly permeable to gases.
Sand having rounded grain, however, lacks strength and does not pack
up to the maximum extent. The binder requirements are minimum.
2) Sub-angular grains:
These grains have comparatively lower permeability and
greater strength then the rounded ones.
3) Angular grains:
These grains have defined edges and surfaces are nearly flat.
They produce higher strength and lower permeability in the mold then
sub angular grains. The binder consumption is likely to be high.
4) Compounded grains:
In some cases, the grains are cemented together such that
they fail to separate when screened. They may consists of rounded, sub
angular or angular grains or a combination of three. Such grains are
called compounded grains and are least desirable due to their tendency
to break down at higher temperature. In practice, sand grains contain
mixed grain shapes, depending on origin. A sub angular to rounded
grain mixture would be the best combination.
The grain size of sand is expressed by a number called grain
fineness number. Grain fineness number is a system developed by AFS
for rapidly expressing the average grain size of a given sand. It
approximates the number of meshes per inch of that sieve that would
just pass the sample if its grains of uniform size. It is approximately
proportional to the surface area per unit of weight of sand, exclusive of
clay.
To determine this number for a given sand sample, it is
customary to use a standard sieve set which contains several sieves one
above the other, having a varying but known number of meshes. The
coarsest sieve is placed at the top and finest at the bottom. After
separating the clay and the moisture from the sand under test, the
sample is placed in the top sieve and the whole set is shaken in a sieve
shaking machine for a definite length of time the amount of sand
remaining in each sieve is then collected , weighed, and expressed as a
percentage of the original sample weight. The comparative sieve
designations of IS, BS, ASTM, sieves are given in table.
The percentage collected in each sieve is multiplied by its
own multiplying number a constant, one for each sieve and all the
products are added to the arrive at the total product. Thus
Grain fineness number =total product / total sum of percentages
Collected in each sieve
Flow chart of NFD sand controller procedures:
SUPPLIER
RECEIVED TO
STORE(PSG)
INSPECTION
SAND SHAKER TESTING
BULK RECEIVER
ACCEPTED (USE FOR
SAND PLANT)
REJECTED
IF NOT
SATISFIED
REQUIRED AFS
VALUE
SATISFICATION
55-65 =MOLDING SAND
45-55= CORE SAND
Chemical composition of moulding sand:
Silica is the main constituent but along with silica small amounts of
iron oxide, alumina, limestone, magnesia, manganese oxide, soda and
potash are present as impurities.
The chemical compositions of a moulding sand give an idea of the
impurities like lime, magnesia, alkalis, etc., present and thereby of the
refractoriness of the sand.
Grain size of moulding sand:
The grain size influences the properties of sand as follows;
Compactability : Finer the sand, the lower is the compactability and vice
versa. This results from the fact that the specific surface increases and
the grain size decreases. As a result, the number of point of contacts
per unit volume increases and this in turn raises the resistance to
compacting.
Green strength: The green strength has a certain tendency, admittedly
not very pronounced, towards a maximum with a grain size which
corresponds approximately to the medium grain size. As the grains
become finer, the film of bentonite becomes thinner, although the
percentage of bentonite remains the same. Due to thinning of
bentonite film, the green strength is reduced. With very coarse grains
and, therefore, the number of point of contacts per unit of volume
decreases so sharply that the green strength is again reduced.
Permeability: The sands with grains equal but coarse in size have
greater void space and have therefore, greater permeability than the
finer sands. This is more pronounced if the sand grains are equal in size.
Grain size distribution of moulding sand:
The grain size distribution influences the properties of sand as
follows:
Compactibility: Sand with wide range of particle size has higher
compactibility than sand with narrow distribution. The broadening of
the size distribution or in both directions simultaneously and a sand of
higher density will result. Broadening to the coarse side has a great
effect on density than broadening the distribution to the fine side.
Green strength: A wide range distribution favours the green strength
while narrow grain distributions reduce it.
Permeability: The grain size distribution has a pronounced effect on
permeability. A sand contained many fines and a wide range of particle
size will have low permeability as compared to that containing grains of
average fineness but of the same size.
The grain fineness number is a concept that can be used
for comparing fineness of different sands. The distribution of different
grain sizes present in a sand is a more significant test. For good
compaction of sand, the amount retained on 3 or 4 consecutive sieves
should be in the range of 75-80%. In addition, the sieves distribution
(percentage of sand retained on various sieves) should not show a
double peak when the relationship between sieve size and percentage
of sand retained are plotted. The distribution should show a normal
curve with a single peak. Table suggested values of grain fineness
numbers of new sands suitable for casting various metals and alloys.
COMPARISON OF SIEVE SIZES
Sieves used for sand grading are 200mm diameter and are
now usually metric sizes, designed by their aperture size in
micrometers. The table lists sieve sizes in the British standard metric
series together with other sieve types.
CALCULATION OF AVERAGE GRAIN SIZE
The adoption of the ISO metric sieve means that the
old AFS grain fineness number can no longer be calculated. Instead, the
average grain size, expressed as micrometers is now used. This is
determined as follows:
1) Weigh a 100 g sample of dry sand.
2) Place the sample into the top sieve of a nest of ISO
sieves on a vibrator. Vibrate for 15 minutes.
3) Remove the sieves and, beginning with the top
sieve, weigh the quantity of sand remaining on each sieve.
4) Calculate the percentage of the sample weight
retained on each sieve, and arrange in a column.
5) Multiply the percentage retained by the appropriate
multiplier and add the products.
6) Divide by the total of the percentages retained to
give the average grain size.
Grain size distribution of moulding sand
The grain size distribution influences the properties of sand as
follows:
Compactibility: Sand with wide range of particle size has higher
compactibility than sand with narrow distribution. The broadening of
the size distribution or in both directions simultaneously and a sand of
higher density will result. Broadening to the coarse side has a great
effect on density than broadening the distribution to the fine side.
Green strength: A wide range distribution favours the green strength
while narrow grain distributions reduce it.
Permeability: The grain size distribution has a pronounced effect on
permeability. A sand contained many fines and a wide range of particle
size will have low permeability as compared to that containing grains of
average fineness but of the same size.
CALCULATION OF AFS GRAIN FINENESS NUMBER
Using either the old BS sieves or AFS sieves, follow 1-4
above.
5) Arrange the results.
6) Multiply each percentage weight by the preceding
sieve mesh number.
7) Divide by the total of the percentage to give the AFS
grain fineness number.
Example:
BS sieve number
Or
Mesh no.
Percent of sand
retained on sieve
weight(%)
Multiplied by
previous sieve
no.
Product
12 0 6 0
20 0.2 12 2.4
30 1.32 20 24.4
40 3.48 30 104.4
45 4.16 40 106.4
50 3.74 45 168.3
70 26.98 50 134.9
100 44.06 70 3084.2
140 13.28 100 1328
200 1.3 140 182
270 0.76 200 154
PAN 0.24 270 64.8
TOTAL 99.52 6627.9
AFS grain fineness number=6627.9/100
=66.59 or 66 AFS
% of sand retained in 45-100 mesh =78.94%
Foundry sands usually fall into the range 150-400µm,
with 220-250µm being the most commonly used. Direct conversion
between average grain size and AFS grain fineness number is not
possible, but an approximate relation is shown below:
AFS
grain
fineness
number
35 40 45 50 55 60 65 70 80 90
Average
grain
size(µm)
390 340 300 280 240 220 210 195 170 150
While average grain size and AFS grain fineness number are useful
parameters, choice of sand should be based on particle size
distribution.

More Related Content

What's hot

Inclusion control for clean steel
Inclusion control for clean steelInclusion control for clean steel
Inclusion control for clean steelSANTOSH KUMAR
 
Cold isostatic pressing
Cold isostatic pressingCold isostatic pressing
Cold isostatic pressingLahiru Dilshan
 
Grain size measurement according to astm standards
Grain size measurement according to astm standardsGrain size measurement according to astm standards
Grain size measurement according to astm standardsJMB
 
Quantitative metallography
Quantitative metallographyQuantitative metallography
Quantitative metallographyN.Prakasan
 
Characteristics of Pearlite, Bainite and Martensite
Characteristics of Pearlite, Bainite and MartensiteCharacteristics of Pearlite, Bainite and Martensite
Characteristics of Pearlite, Bainite and MartensiteSyed Ali Afzal
 
Gating and riser in casting
Gating  and riser in castingGating  and riser in casting
Gating and riser in castingRajesh.S Reddy
 
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanical
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanicalASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanical
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanicalJeet Amrutiya
 
Metal casting process part 1
Metal casting process part 1Metal casting process part 1
Metal casting process part 1Dr. L K Bhagi
 
Strengthening mechanism ppt
Strengthening mechanism pptStrengthening mechanism ppt
Strengthening mechanism pptHitesh Basitti
 

What's hot (20)

Refining Slags.pptx
Refining Slags.pptxRefining Slags.pptx
Refining Slags.pptx
 
Inclusion control for clean steel
Inclusion control for clean steelInclusion control for clean steel
Inclusion control for clean steel
 
Cold isostatic pressing
Cold isostatic pressingCold isostatic pressing
Cold isostatic pressing
 
Selection of furnaces and various types of furnaces (UNIT2)
Selection of furnaces and various types of furnaces (UNIT2)Selection of furnaces and various types of furnaces (UNIT2)
Selection of furnaces and various types of furnaces (UNIT2)
 
U3 p1 gating system
U3 p1 gating systemU3 p1 gating system
U3 p1 gating system
 
U3 p2 riser design
U3 p2 riser designU3 p2 riser design
U3 p2 riser design
 
Grain size measurement according to astm standards
Grain size measurement according to astm standardsGrain size measurement according to astm standards
Grain size measurement according to astm standards
 
Quantitative metallography
Quantitative metallographyQuantitative metallography
Quantitative metallography
 
Characteristics of Pearlite, Bainite and Martensite
Characteristics of Pearlite, Bainite and MartensiteCharacteristics of Pearlite, Bainite and Martensite
Characteristics of Pearlite, Bainite and Martensite
 
Gating and riser in casting
Gating  and riser in castingGating  and riser in casting
Gating and riser in casting
 
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanical
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanicalASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanical
ASTM E 112 GRAIN SIZE MEASURING METHODS full standard, mecanical
 
atomization process
atomization processatomization process
atomization process
 
Plaster mould technique
Plaster mould techniquePlaster mould technique
Plaster mould technique
 
hardenability
hardenabilityhardenability
hardenability
 
Sand testing
Sand testingSand testing
Sand testing
 
Metal casting process part 1
Metal casting process part 1Metal casting process part 1
Metal casting process part 1
 
Sintering
SinteringSintering
Sintering
 
Hsla steels
Hsla steelsHsla steels
Hsla steels
 
Cast irons
Cast  ironsCast  irons
Cast irons
 
Strengthening mechanism ppt
Strengthening mechanism pptStrengthening mechanism ppt
Strengthening mechanism ppt
 

Viewers also liked

Essential steps involved in plotting histogram
Essential steps involved in plotting histogramEssential steps involved in plotting histogram
Essential steps involved in plotting histogramPrashanth Manickam
 
2015 Upload Campaigns Calendar - SlideShare
2015 Upload Campaigns Calendar - SlideShare2015 Upload Campaigns Calendar - SlideShare
2015 Upload Campaigns Calendar - SlideShareSlideShare
 
What to Upload to SlideShare
What to Upload to SlideShareWhat to Upload to SlideShare
What to Upload to SlideShareSlideShare
 
Getting Started With SlideShare
Getting Started With SlideShareGetting Started With SlideShare
Getting Started With SlideShareSlideShare
 

Viewers also liked (6)

Essential steps involved in plotting histogram
Essential steps involved in plotting histogramEssential steps involved in plotting histogram
Essential steps involved in plotting histogram
 
Large scale metrology
Large scale metrologyLarge scale metrology
Large scale metrology
 
ULTRASONIC WELDING
ULTRASONIC WELDINGULTRASONIC WELDING
ULTRASONIC WELDING
 
2015 Upload Campaigns Calendar - SlideShare
2015 Upload Campaigns Calendar - SlideShare2015 Upload Campaigns Calendar - SlideShare
2015 Upload Campaigns Calendar - SlideShare
 
What to Upload to SlideShare
What to Upload to SlideShareWhat to Upload to SlideShare
What to Upload to SlideShare
 
Getting Started With SlideShare
Getting Started With SlideShareGetting Started With SlideShare
Getting Started With SlideShare
 

Similar to Determine Average Grain Size

0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02jdieyh
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02jdihe0j
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02dk9kj
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02jdi8kj
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02jdi0ij
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02jdi9ek
 
Lecture 3, constituents of concrete-fine aggregate
Lecture 3, constituents of concrete-fine aggregateLecture 3, constituents of concrete-fine aggregate
Lecture 3, constituents of concrete-fine aggregateDr. H.M.A. Mahzuz
 
7 b soil properties determination
7  b soil properties determination7  b soil properties determination
7 b soil properties determinationMarvin Ken
 
Ex 4 sieve analysis and soil classification
Ex 4 sieve analysis and soil classificationEx 4 sieve analysis and soil classification
Ex 4 sieve analysis and soil classificationbhimaji40
 
Concrete lab s5 procedure
Concrete lab s5 procedureConcrete lab s5 procedure
Concrete lab s5 procedureSHAMJITH KM
 
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sand
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty SandExperimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sand
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sandinventionjournals
 
Determination grain size distribution of soil
Determination grain size distribution of soilDetermination grain size distribution of soil
Determination grain size distribution of soilSumanHaldar8
 
Comparative studies on properties mould sands of different mesh sizes-review 2
Comparative studies on properties mould sands  of different mesh sizes-review 2Comparative studies on properties mould sands  of different mesh sizes-review 2
Comparative studies on properties mould sands of different mesh sizes-review 2Umesh Naralchitti
 
Mechanical analysis of soil
Mechanical analysis of soilMechanical analysis of soil
Mechanical analysis of soilCharlene Borja
 
Soil Classification & Systems
Soil Classification & SystemsSoil Classification & Systems
Soil Classification & SystemsArbaz Kazi
 
Investigation of behaviour of concrete on adding crumb
Investigation of behaviour of concrete on adding crumbInvestigation of behaviour of concrete on adding crumb
Investigation of behaviour of concrete on adding crumbAbhimanyu Saraswat
 

Similar to Determine Average Grain Size (20)

0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
0071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp020071549226ar007 100508140517-phpapp02
0071549226ar007 100508140517-phpapp02
 
Lecture 3, constituents of concrete-fine aggregate
Lecture 3, constituents of concrete-fine aggregateLecture 3, constituents of concrete-fine aggregate
Lecture 3, constituents of concrete-fine aggregate
 
Aggregates (1).pptx
Aggregates  (1).pptxAggregates  (1).pptx
Aggregates (1).pptx
 
7 b soil properties determination
7  b soil properties determination7  b soil properties determination
7 b soil properties determination
 
BM unit 3.pptx
BM unit 3.pptxBM unit 3.pptx
BM unit 3.pptx
 
Ex 4 sieve analysis and soil classification
Ex 4 sieve analysis and soil classificationEx 4 sieve analysis and soil classification
Ex 4 sieve analysis and soil classification
 
UROP Poster
UROP PosterUROP Poster
UROP Poster
 
Concrete lab s5 procedure
Concrete lab s5 procedureConcrete lab s5 procedure
Concrete lab s5 procedure
 
Concrete lab s5
Concrete lab s5Concrete lab s5
Concrete lab s5
 
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sand
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty SandExperimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sand
Experimental Approach for Assessment of Liquefaction in Fine Sand and Silty Sand
 
Determination grain size distribution of soil
Determination grain size distribution of soilDetermination grain size distribution of soil
Determination grain size distribution of soil
 
Comparative studies on properties mould sands of different mesh sizes-review 2
Comparative studies on properties mould sands  of different mesh sizes-review 2Comparative studies on properties mould sands  of different mesh sizes-review 2
Comparative studies on properties mould sands of different mesh sizes-review 2
 
Mechanical analysis of soil
Mechanical analysis of soilMechanical analysis of soil
Mechanical analysis of soil
 
Soil Classification & Systems
Soil Classification & SystemsSoil Classification & Systems
Soil Classification & Systems
 
Investigation of behaviour of concrete on adding crumb
Investigation of behaviour of concrete on adding crumbInvestigation of behaviour of concrete on adding crumb
Investigation of behaviour of concrete on adding crumb
 

Recently uploaded

Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for BeginnersSabitha Banu
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatYousafMalik24
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Celine George
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfMr Bounab Samir
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17Celine George
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxRaymartEstabillo3
 
MICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxMICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxabhijeetpadhi001
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxAvyJaneVismanos
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Educationpboyjonauth
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxpboyjonauth
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitolTechU
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaVirag Sontakke
 

Recently uploaded (20)

Full Stack Web Development Course for Beginners
Full Stack Web Development Course  for BeginnersFull Stack Web Development Course  for Beginners
Full Stack Web Development Course for Beginners
 
Earth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice greatEarth Day Presentation wow hello nice great
Earth Day Presentation wow hello nice great
 
Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17Computed Fields and api Depends in the Odoo 17
Computed Fields and api Depends in the Odoo 17
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdfLike-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
Like-prefer-love -hate+verb+ing & silent letters & citizenship text.pdf
 
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdfTataKelola dan KamSiber Kecerdasan Buatan v022.pdf
TataKelola dan KamSiber Kecerdasan Buatan v022.pdf
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17How to Configure Email Server in Odoo 17
How to Configure Email Server in Odoo 17
 
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptxEPANDING THE CONTENT OF AN OUTLINE using notes.pptx
EPANDING THE CONTENT OF AN OUTLINE using notes.pptx
 
MICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptxMICROBIOLOGY biochemical test detailed.pptx
MICROBIOLOGY biochemical test detailed.pptx
 
Final demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptxFinal demo Grade 9 for demo Plan dessert.pptx
Final demo Grade 9 for demo Plan dessert.pptx
 
Introduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher EducationIntroduction to ArtificiaI Intelligence in Higher Education
Introduction to ArtificiaI Intelligence in Higher Education
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 
Introduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptxIntroduction to AI in Higher Education_draft.pptx
Introduction to AI in Higher Education_draft.pptx
 
Capitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptxCapitol Tech U Doctoral Presentation - April 2024.pptx
Capitol Tech U Doctoral Presentation - April 2024.pptx
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Painted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of IndiaPainted Grey Ware.pptx, PGW Culture of India
Painted Grey Ware.pptx, PGW Culture of India
 

Determine Average Grain Size

  • 1. DETERMINATION OF AVERAGE GRAIN SIZE AND DISTRIBUTION Sand is the principal molding material in the foundry shop where it is used for all types of castings, irrespective of whether the cast metal is ferrous or non-ferrous, iron or steel. This is because it possesses the properties vital for foundry purposes. Molding sand is specified in terms of the size and shape of the silica grains it contains, the clay content and the moisture content. Among these characteristics in this report we will discuss about shape and size of sand grains. SIZE AND SHAPE OF GRAINS: Sand grains are of paramount importance in molding sand because they impart refractoriness ,chemical resistivity ,and permeability to the sand .They are specified according to their average size and shape. the finer the grains ,the more intimate will be the contact and lower the permeability. However, fine grains tend to fortify the mold and less than its tendency to get distorted. The shapes of the grain may vary from round to angular (as shown in fig.) the grains are classified according to their shape. The shape can be determined by observing the grains under a magnifying glass or microscope.
  • 2. 1) Rounded grains : These grains have the least contact with one another in a rammed structure, thereby making the sand highly permeable to gases. Sand having rounded grain, however, lacks strength and does not pack up to the maximum extent. The binder requirements are minimum. 2) Sub-angular grains: These grains have comparatively lower permeability and greater strength then the rounded ones. 3) Angular grains: These grains have defined edges and surfaces are nearly flat. They produce higher strength and lower permeability in the mold then sub angular grains. The binder consumption is likely to be high. 4) Compounded grains: In some cases, the grains are cemented together such that they fail to separate when screened. They may consists of rounded, sub angular or angular grains or a combination of three. Such grains are
  • 3. called compounded grains and are least desirable due to their tendency to break down at higher temperature. In practice, sand grains contain mixed grain shapes, depending on origin. A sub angular to rounded grain mixture would be the best combination. The grain size of sand is expressed by a number called grain fineness number. Grain fineness number is a system developed by AFS for rapidly expressing the average grain size of a given sand. It approximates the number of meshes per inch of that sieve that would just pass the sample if its grains of uniform size. It is approximately proportional to the surface area per unit of weight of sand, exclusive of clay. To determine this number for a given sand sample, it is customary to use a standard sieve set which contains several sieves one above the other, having a varying but known number of meshes. The coarsest sieve is placed at the top and finest at the bottom. After separating the clay and the moisture from the sand under test, the sample is placed in the top sieve and the whole set is shaken in a sieve shaking machine for a definite length of time the amount of sand remaining in each sieve is then collected , weighed, and expressed as a percentage of the original sample weight. The comparative sieve designations of IS, BS, ASTM, sieves are given in table. The percentage collected in each sieve is multiplied by its own multiplying number a constant, one for each sieve and all the products are added to the arrive at the total product. Thus Grain fineness number =total product / total sum of percentages Collected in each sieve
  • 4. Flow chart of NFD sand controller procedures: SUPPLIER RECEIVED TO STORE(PSG) INSPECTION SAND SHAKER TESTING BULK RECEIVER ACCEPTED (USE FOR SAND PLANT) REJECTED IF NOT SATISFIED REQUIRED AFS VALUE SATISFICATION 55-65 =MOLDING SAND 45-55= CORE SAND
  • 5. Chemical composition of moulding sand: Silica is the main constituent but along with silica small amounts of iron oxide, alumina, limestone, magnesia, manganese oxide, soda and potash are present as impurities. The chemical compositions of a moulding sand give an idea of the impurities like lime, magnesia, alkalis, etc., present and thereby of the refractoriness of the sand. Grain size of moulding sand: The grain size influences the properties of sand as follows; Compactability : Finer the sand, the lower is the compactability and vice versa. This results from the fact that the specific surface increases and the grain size decreases. As a result, the number of point of contacts per unit volume increases and this in turn raises the resistance to compacting. Green strength: The green strength has a certain tendency, admittedly not very pronounced, towards a maximum with a grain size which corresponds approximately to the medium grain size. As the grains become finer, the film of bentonite becomes thinner, although the percentage of bentonite remains the same. Due to thinning of bentonite film, the green strength is reduced. With very coarse grains and, therefore, the number of point of contacts per unit of volume decreases so sharply that the green strength is again reduced.
  • 6. Permeability: The sands with grains equal but coarse in size have greater void space and have therefore, greater permeability than the finer sands. This is more pronounced if the sand grains are equal in size. Grain size distribution of moulding sand: The grain size distribution influences the properties of sand as follows: Compactibility: Sand with wide range of particle size has higher compactibility than sand with narrow distribution. The broadening of the size distribution or in both directions simultaneously and a sand of higher density will result. Broadening to the coarse side has a great effect on density than broadening the distribution to the fine side. Green strength: A wide range distribution favours the green strength while narrow grain distributions reduce it. Permeability: The grain size distribution has a pronounced effect on permeability. A sand contained many fines and a wide range of particle size will have low permeability as compared to that containing grains of average fineness but of the same size. The grain fineness number is a concept that can be used for comparing fineness of different sands. The distribution of different grain sizes present in a sand is a more significant test. For good compaction of sand, the amount retained on 3 or 4 consecutive sieves should be in the range of 75-80%. In addition, the sieves distribution (percentage of sand retained on various sieves) should not show a double peak when the relationship between sieve size and percentage
  • 7. of sand retained are plotted. The distribution should show a normal curve with a single peak. Table suggested values of grain fineness numbers of new sands suitable for casting various metals and alloys. COMPARISON OF SIEVE SIZES Sieves used for sand grading are 200mm diameter and are now usually metric sizes, designed by their aperture size in micrometers. The table lists sieve sizes in the British standard metric series together with other sieve types. CALCULATION OF AVERAGE GRAIN SIZE The adoption of the ISO metric sieve means that the old AFS grain fineness number can no longer be calculated. Instead, the average grain size, expressed as micrometers is now used. This is determined as follows: 1) Weigh a 100 g sample of dry sand. 2) Place the sample into the top sieve of a nest of ISO sieves on a vibrator. Vibrate for 15 minutes. 3) Remove the sieves and, beginning with the top sieve, weigh the quantity of sand remaining on each sieve. 4) Calculate the percentage of the sample weight retained on each sieve, and arrange in a column. 5) Multiply the percentage retained by the appropriate multiplier and add the products.
  • 8. 6) Divide by the total of the percentages retained to give the average grain size. Grain size distribution of moulding sand The grain size distribution influences the properties of sand as follows: Compactibility: Sand with wide range of particle size has higher compactibility than sand with narrow distribution. The broadening of the size distribution or in both directions simultaneously and a sand of higher density will result. Broadening to the coarse side has a great effect on density than broadening the distribution to the fine side. Green strength: A wide range distribution favours the green strength while narrow grain distributions reduce it. Permeability: The grain size distribution has a pronounced effect on permeability. A sand contained many fines and a wide range of particle size will have low permeability as compared to that containing grains of average fineness but of the same size. CALCULATION OF AFS GRAIN FINENESS NUMBER Using either the old BS sieves or AFS sieves, follow 1-4 above. 5) Arrange the results. 6) Multiply each percentage weight by the preceding sieve mesh number.
  • 9. 7) Divide by the total of the percentage to give the AFS grain fineness number. Example: BS sieve number Or Mesh no. Percent of sand retained on sieve weight(%) Multiplied by previous sieve no. Product 12 0 6 0 20 0.2 12 2.4 30 1.32 20 24.4 40 3.48 30 104.4 45 4.16 40 106.4 50 3.74 45 168.3 70 26.98 50 134.9 100 44.06 70 3084.2 140 13.28 100 1328 200 1.3 140 182 270 0.76 200 154 PAN 0.24 270 64.8 TOTAL 99.52 6627.9 AFS grain fineness number=6627.9/100 =66.59 or 66 AFS % of sand retained in 45-100 mesh =78.94% Foundry sands usually fall into the range 150-400µm, with 220-250µm being the most commonly used. Direct conversion
  • 10. between average grain size and AFS grain fineness number is not possible, but an approximate relation is shown below: AFS grain fineness number 35 40 45 50 55 60 65 70 80 90 Average grain size(µm) 390 340 300 280 240 220 210 195 170 150 While average grain size and AFS grain fineness number are useful parameters, choice of sand should be based on particle size distribution.