Research Article
Received: 14 May 2008
Revised: 14 August 2008
Accepted: 22 August 2008
Published online in Wiley Interscience: 9 October 2008
(www.interscience.wiley.com) DOI 10.1002/jctb.2063
Development of the powder reaction moulding
process
Lei Zhao, Maurice N. Collins∗ and Colin Birkinshaw
Abstract
BACKGROUND: The powder reaction moulding process uses a reactive monomer as carrier and binder for the moulding of metal
or ceramic powders. De-binding is achieved using thermal depolymerisation which is followed by sintering to give the finished
component. Binder can be recovered for re-use.
RESULTS: Moulding compounds, with various powder volume fractions, have been prepared using stainless steel, silicon nitride
and alumina with n-butyl cyanoacrylate as binder, and the stability of the compounds established. Rheological properties of
the compounds have been measured using both pressure flow and drag flow methods. Compounds are strongly pseudoplastic.
Comparison of experimental results with theoretical models, describing suspension flow behaviour shows that experimental
maximum volume fractions are close to the theoretical volume fraction of 0.42 for silicon nitride, 0.68 for alumina and 0.7 for
stainless steel. Differential scanning calorimetry and thermogravimetry have been used to simulate de-binding and show a
rapid loss of binder through depolymerisation. Post-sintering porosity of the ceramic materials is high but this is thought to
arise from the low pressure moulding techniques used. Porosity of the stainless steel mouldings is much lower.
CONCLUSIONS: The results validate the powder reaction moulding idea and demonstrate applicability to three widely different
powder materials.
c 2008 Society of Chemical Industry
Keywords: powder forming; sintering; cyanoacrylate; moulding; compression forming
INTRODUCTION
454
The powder reaction moulding process was proposed and
described, about 10 years ago, as an advance in the technology
of the powder processing route for the fabrication of components
from hard metals and ceramics.1,2 Typically this method of
manufacturing components relies upon compression moulding
or injection moulding of a powder-binder composition to give
a green compact which is then subjected to a thermal debinding and sintering process to form the component. Binders
are usually waxes or low molecular weight polymers. In the
powder reaction moulding process a reactive monomer is used
as carrier for the powder and the green component is formed
by moulding the powder–carrier compound accompanied by
polymerisation of the monomer to give a tough compact. The
monomer is then recovered by thermal decomposition of the
binder prior to sintering of the component. Figure 1 illustrates the
process cycle. Anticipated advantages of the process, relative to
more conventional powder processing methods, are more rapid
solidification of the binder to give a strong and tough green
component, which can be machined if appropriate; very rapid
de-binding as the decomposition product is a small monomer
molecule which readily diffuses through the powder; and no net
loss of binder material. In existing processes the de-binding stage
can take several hours and requires thermal decomposition of the
binder whereas the powder reaction moulding process is built
around an ‘unzipping’ polymer–monomer system characterised
by high reaction rates in both directions.
J Chem Technol Biotechnol 2009; 84: 454–460
The monomer system suggested was the cyanoacrylate family
of materials, well known as super-glue and used for adhesive
bonding of a wide range of substrates. Polymerisation of the
cyanoacrylates can be initiated by weak bases such as amines
and even by water, and subsequent reaction is very rapid.3,4
Polymerisation can be retarded or inhibited by addition of weak
or strong acids.5,6 Thermal decomposition of the polymer occurs
at temperatures above about 180 ◦ C via a chain end initiated
un-zipping reaction with quantitative conversion to monomer.7
Monomer
Thermal
Basic
−−
−→
−−
−→
Monomer
Polymer
depolymerisation
initiator
The cyanoacrylates in common industrial use include the methyl,
ethyl and n-butyl materials with slight differences in polymerisation and decomposition rate. The n-butyl monomer has an
advantage in that the corresponding polymer is soluble in tetrahydrofuran and this facilitates molecular weight measurement.
Successful operation of the process requires preparation of
monomer–powder compounds which are stable for a sufficient
period of time to allow moulding or extrusion, but then can be
∗
Correspondence to: Maurice N. Collins, Department of Materials Science and
Technology, University of Limerick, Limerick, Ireland.
E-mail: maurice.collins@ul.ie
Department of Materials Science and Technology, University of Limerick,
Limerick, Ireland.
www.soci.org
c 2008 Society of Chemical Industry
Development of the powder reaction moulding process
Powder
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The objective of the work reported here was to establish additional fundamental information on powder–binder relationships
that would be useful in moving the process further towards
industrial realisation. The shaping technology used is essentially
compression forming rather than injection moulding, but the overall objective is to provide information that will allow development
of an injection or compression moulding process.
Three powders were chosen for the work, stainless steel,
alumina and silicon nitride, and the binder used was n-butyl
cyanoacrylate. These powders were chosen as representative
materials with very different particle characteristics and surface
chemistry. Parameters of interest are maximum powder volume
fraction achievable, stability of the prepared powder-monomer
compound, rheology of the moulding compounds under various
shear conditions, polymerisation or curing rate and sintering and
de-binding behaviour.
Monomer
Mix
Mould
Monomer
recovery
Cure
EXPERIMENTAL
Debind
and
sinter
Figure 1. Powder reaction moulding process flow chart.
polymerised rapidly once the desired shape has been achieved.
Although commercial monomer does contain small amounts
of polymerisation inhibitor, contact with a high surface area
powder is liable to exceed this inhibitor capability and so
additional inhibition is needed. Inhibition of polymerisation
can be achieved using p-toluenesulfonic acid5 and initiation of
polymerisation using caffeine. For example an inhibited monomerpowder compound could be introduced into a mould which
has been pre-treated with caffeine and polymerisation will be
rapidly initiated on the surface with slower progression into the
bulk.
Since the original process proposal a number of investigations
have been conducted. Ridgway et al. reported8,9 on the manufacture of a conduit heart valve using alumina and cyanoacrylate and
Ng et al10 carried out green state machining on compacts made
from the same materials, this work demonstrating a further advantage of the process in that the green compacts are very tough, can
be handled easily and shapes further modified by conventional
machining technology.
Details of the powders used are given in Table 1. n-butyl
cyanoacrylate monomer, (Henkel, Ireland) was used with ptoluenesulfonic acid as inhibitor, which was dissolved in the
monomer prior to blending with the powder.
Powder monomer mixing was carried out by hand using a
beaker and spatula and the maximum powder volume fraction
that would give a homogenous compound, without free monomer
or powder, was visually estimated. The cure time was measured as
the time that the compound remained fluid, and this was tested
by extrusion using a polypropylene syringe.
The flow properties of particulate filled reactive fluids are
not easy to measure in a meaningful way. Two approaches to
rheological characterisation were adopted here; measurement of
a flow behaviour index using an extrusion technique, and cone
and plate rheometry. To measure the flow behaviour index an
extrusion cylinder was installed in a universal test machine, set up
in such a way as to allow measurement of the volume of material
extruded under constant load. Prepared moulding compound was
put into the cylinder and extruded under a load of 270 N, and the
time t to travel 1 mm was noted. As the volume V of the syringe is
known the flow index can be described as:
Flow Index = V/t
Although this system could in theory be analysed using pressure
flow equations applied to the exit capillary, it is impossible to know
how much work is being done within the body of the syringe and
so a simple comparative result was accepted.
A more formal measure of viscosity was obtained by using a
HAAKE RotoVisco1 (Staffordshire, UK) fitted with a C35/2 cone
Table 1. Characteristics of the powders used
Surface area (m2 g−1 )
Particle size (µm)
Powder name
α-silicon nitride (HCST)
Alumina AC2-325 (Aluchem)
Stainless steel 316L (Sandvik-Osprey)
Experimental
Manufacturer
Experimental (BET)
–
5 (d50 ) from sedigraph
see Table 2.3
22 (d90 )
10.5 (d50 )
4.0 (d10 )
0.9 (d50 )
13 (d50 )
–
0.9 m2 g−1
22
12
–
–
26
c 2008 Society of Chemical Industry
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J Chem Technol Biotechnol 2009; 84: 454–460
Manufacturer
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Table 2. Maximum powder volume fractions achievable at various
inhibitor concentrations
Silicon nitride
Acid level
(v%)
0.1
0.2
1.0
2.0
4.0
Practical
maximum
volume
fraction (%)
22
29
43
45
49
Alumina (AC2-325)
Acid
level
(v%)
Practical
maximum
volume
fraction (%)
1.0
2.0
4.0
5.0
54
62
65
68
Stainless steel (316L)
Acid
level
(v%)
Practical
maximum
volume
fraction (%)
0.1
0.2
0.5
1.0
2.0
4.0
33
38
60
65
70
75
and plate sensor system with 2◦ angle cone. At low powder
volume fractions the cone and plate instrument was relatively
successful in measuring viscosity but as the volume fraction
was increased the scatter in the results increased considerably
and abrupt changes of apparent flow behaviour were observed,
associated with breakdown of laminar flow between the cone and
plate of the measuring system. Where possible the Haake software
was used to fit the flow behaviour to a power law equation to give
the flow behaviour and consistency indices. All experiments were
carried out at 22 ◦ C. Comparing the two methods of rheological
assessment, the first approach uses pressure flow and resembles
anticipated processing methods, but only gives a relative result,
whereas the second approach, using drag flow, will give some
indication of actual viscosity. It is appreciated that the shear
rates used in these methods are low relative to plastics injection
processing but they are relevant to compression moulding.
Compacts were compression moulded at room temperature
from the prepared compounds using simple disc moulds machined
from PTFE, and were allowed to ‘self-cure’ without the use
of initiator. De-binding was simulated by thermogravimetric
analysis of material taken from the green compacts using
a TA Instruments (West Sussex, UK) system and a Perkin
Elmer (Watford, UK) differential scanning calorimeter (DSC).
Sample size was approximately 15 mg and a heating rate
of 5 ◦ C min−1 was used between ambient and 300 ◦ C under
nitrogen.
Moulded specimens were heated to 220 ◦ C to remove the
binder. After de-binding, the samples were placed in a desiccator
which was evacuated for a period of 1 h. Distilled water was then
dropped into the evacuated chamber until the samples were
immersed, and after 2 days they were weighed in water (m1 ).
Excess water was then removed from the samples using tissue and
they were again weighed (m2 ) in the wet condition after which
they were placed in an oven to dry and weighed (m3 ).
The bulk density was then calculated from equation shown
below:
(wet weight − immersion weight) = m3 ρL /(m2 − m1 )
The bulk volume Vb is :
ρa = m3 ρL /(m3 − m1 )
Vb = (m2 − m1 )/ρL
The open pore volume Vop is :
456
The apparent porosity (%Pa) is :
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Table 3. Inhibition times for various concentrations of inhibitor
Powder
Silicon nitride
Alumina
Stainless steel
Inhibitor level
(%)
Volume
fraction (%)
0.1%
0.2%
1%
1%
1%
1%
2%
2%
4%
23 (Max.)
28 (Max.)
30
35
40
43 (Max.)
40
45 (Max.)
40
20
11
5300
5040
861
150
4968
3900
4944
1%
1%
1%
1%
2%
2%
2%
2%
4%
4%
4%
40
45
50
53 (Max.)
50
55
60
62 (Max.)
55
65
68 (Max.)
454
75
69
0.2
409
266
81
0.5
1653
743
333
0.1%
0.1%
0.2%
0.2%
0.5%
0.5%
0.5%
1.0%
1.0%
1.0%
1.0%
2.0%
2.0%
2.0%
2.0%
2.0%
4.0%
4.0%
4.0%
30
33 (Max.)
30
38 (Max.)
50
55
60 (Max.)
50
55
60
65 (Max.)
50
55
60
65.
70 (Max.)
65
70
75 (Max.)
Working time (h)
0.5
0.25
5
0.17
5
2
1.5
8
7.5
5
2.5
37
34
11.5
10
2
23
4.5
2.5
To sinter silicon nitride, mouldings containing 6 wt% Y2 O3 and
2 wt% Al2 O3 as sintering additives were heated to 1800 ◦ C under a
nitrogen atmosphere for 2 h. For alumina powders, 0.3 wt% MgO
was used as additive and samples were sintered at 1700 ◦ C for
2 or 3 h. Stainless steel moulding was sintered under nitrogen
atmosphere at 1400 ◦ C.
RESULTS
ρb = dry weight × liquid density/
The apparent density is :
L Zhao, MN Collins, C Birkinshaw
Vop = (m2 − m3 )/ρL
%Pa = (Vop /Vb ) × 100%
Table 2 shows the maximum powder volume fractions that can be
safely combined with monomer containing various concentrations
of polymerisation inhibitor, and Table 3 gives details of the curing
times of various formulations.
Figure 2 compares the flow indices for the various compounds.
Figures 3 and 4 show, as examples, relative viscosities of the
compounds at two specified shear rates. In this context relative
c 2008 Society of Chemical Industry
J Chem Technol Biotechnol 2009; 84: 454–460
Development of the powder reaction moulding process
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Flow Index
Table 4. Derived power law equations
Flow Index (mm3/s)
100
Silicon Nitride
10
Alumina
1
29%
34%
39%
44%
49%
54%
59%
Volume Fraction
Figure 2. Flow indices as a function of powder volume fraction.
100 1/s Shear Rate
Relative Viscosity
Silicon Nitride
Alumina
Stainless Steel
1000
Silicon nitride 25%
Silicon nitride 30%
Silicon nitride 37.5%
Silicon nitride 40%
η = 8.5 × 105 · S(0.6267 – 1)
η = 2.2 × 106 · S(0.7295 – 1)
η = 1.8 × 107 · S(0.152 – 1)
η = 7.1 × 108 · S(0.0724 – 1)
η
η
η
η
Stainless steel 45%
Stainless steel 50%
Stainless steel 55%
Stainless Steel
10000
Power law equation
Alumina 50%
Alumina 55%
Alumina 60%
Alumina 62.5%
64%
0.1
0.01
Powder and volume fraction
η = 3.8 × 105 · S(0.5778 – 1)
η = 3.8 × 106 · S(0.4264 – 1)
η = 5.7 × 107 · S(0.1279 – 1)
= 1.5 × 106 · S(0.5737 – 1)
= 1.5 × 107 · S(0.4083 – 1)
= 2.0 × 107 · S(0.4184 – 1)
= 1.1 × 108 · S(0.0069 – 1)
100
10
1
20.0%
30.0%
40.0% 50.0%
Volume Fraction
60.0%
70.0%
Figure 3. Relative viscosity values as a function of volume fraction
measured at 100 s−1 shear rate.
Relative Viscosity
182 1/s Shear Rate
450
400
350
300
250
200
150
100
50
0
20.0%
Silicon Nitride
Alumina
Stainless Steel
30.0%
40.0%
50.0%
Volume Fraction
60.0%
Figure 5. TGA simulated de-binding of silicon nitride mouldings.
70.0%
Figure 4. Relative viscosity values as a function of volume fraction
measured at 182 s−1 shear rate.
viscosity is defined as the viscosity of the compound compared
with the viscosity of pure monomer measured under the
same circumstances. Table 4 shows the derived power law
equations for the moulding compounds. Figures 5 and 6 show,
as typical results, the de-binding behaviour of silicon nitride
mouldings assessed by thermogravimetric and DSC analysis.
Table 5 compares experimental weight losses with theoretical
weight losses for the cured compounds prepared with the three
powders. Table 6 gives the density and porosity values for the
de-bound mouldings before and after sintering.
DISCUSSION
J Chem Technol Biotechnol 2009; 84: 454–460
that the fine particle silicon nitride can only be compounded
at low volume fractions relative to the other two powders and
presumably both physical and chemical factors are responsible
for this. The observation that with all three powders increasing
inhibitor concentrations are required to give stable higher volume
fraction compounds confirms that all powder surfaces are able
c 2008 Society of Chemical Industry
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457
Achievement of the maximum powder volume fraction is clearly
desirable as this will reduce overall shrinkage on de-binding
and sintering. Considering the data in Tables 1 and 2 it is clear
Figure 6. DSC simulated de-binding of silicon nitride mouldings.
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L Zhao, MN Collins, C Birkinshaw
Table 5. The experimental weight loss and theoretical weight loss
on de-binding
TGA weight loss
(%)
Sample name
Theoretical weight loss
(%)
Silicon nitride 30%
Silicon nitride 35%
Silicon nitride 37.5%
Silicon nitride 40%
35
34
31
28
42.73
37.26
34.77
32.42
Alumina 55%
Alumina 60%
Alumina 62.5%
Alumina 65%
Alumina 68%
18
12.5
11
12
11.5
18.75
15.83
14.47
13.18
11.72
8.5
5
3
8.40
6.89
5.56
Stainless steel 60%
Stainless steel 65%
Stainless steel 70%
Figure 7. Working windows for the three types of compound.
Table 6. Density and porosity of de-bound mouldings before (B) and
after (A) sintering
Bulk
density
(g mL−1 )
Apparent
density
(g mL−1 )
Bulk
volume
(mL)
Open pore
volume
(mL)
Apparent
porosity
(%)
SN 30% B
SN 30% A
SN 35% B
SN 35% A
SN 37.5%B
SN 37.5%A
1.2909
1.7218
1.4655
1.7863
1.4905
2.1559
3.0915
3.2122
2.9852
3.1543
3.0029
3.1671
1.0683
0.6319
1.2486
0.7861
1.4542
0.4605
0.6222
0.2932
0.6356
0.3409
0.7324
0.1470
58.24
46.40
50.91
43.37
50.37
31.93
AL 55% B
AL 55% A
AL 60% B
AL 60% A
AL 65% B
AL 65% A
AL 68% B
AL 68% A
2.0127
2.2987
2.3538
2.5303
2.2936
2.6240
2.2337
2.4543
3.8530
3.9226
3.8104
3.9407
3.8454
3.8601
3.6553
3.9308
2.2491
1.8378
2.3749
2.1115
3.0367
1.8091
3.5726
2.8395
1.0742
0.7608
0.9078
0.7557
1.2255
0.5793
1.3894
1.0666
47.76
41.40
38.23
35.79
40.36
32.02
38.89
37.56
SS 60% B
SS 60% A
SS 65% B
SS 65% A
SS 70% B
SS 70% A
SS 74% B
SS 74% A
4.7526
6.5988
4.8059
6.7627
4.6615
6.7312
4.4988
6.4627
5.5296
7.1265
5.4919
7.1125
5.3889
7.0493
5.2934
7.2014
1.9643
1.4249
2.6823
1.8946
3.7941
2.6195
5.0118
3.5092
0.2760
0.1055
0.3350
0.0932
0.5121
0.1182
0.7523
0.3599
14.05
7.40
12.49
4.92
13.50
4.51
15.01
10.26
Sample
name
458
to initiate polymerisation, and for each powder, the inhibitor
concentrations required reflects the chemical activity of the total
initiating powder surface.
The chemical nature of the actual initiating species remains
unknown. Stainless steel is presumed to have a surface rich in
Cr2 O3 and may be slightly basic, while the alumina and silicon
nitride should be neutral. The cyanoacrylate monomer possesses
two strongly electron withdrawing substituents and so initiation is
readily achieved by weak nucleophiles such as water. It is possible
that initiation occurs here through adsorbed water, but the very
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different inhibitor requirements and sensitivities suggest a more
complex mechanism.
A convenient way of comparing the stability of the various
compounds is through a ‘working windows’ diagram, as shown
in Fig. 7. The working window at the maximum volume fraction
should be of the order of hours to a few days and the figure
demonstrates that it is considerations of powder surface chemistry
that dominate this variable. However, it is clear that manageable
moulding compounds can be achieved with all three powders
and this is considered to be an important observation.
The flow properties of the moulding compounds are also clearly
of great importance as the material has to be injection moulded,
compression formed or perhaps extruded. The relative flow
indices for the three types of compound as functions of volume
fraction, shown in Fig. 2, are useful comparators of behaviour,
demonstrating that the silicon nitride powder presents the greatest resistance to flow, an observation consistent with the previous
remarks about particle size, surface area and maximum achievable
volume fraction. Comparison of the data in Figs 3 and 4 shows the
marked shear sensitivity of the moulding compounds, and Table 4
gives the derived power law relationships from the cone and plate
rheometry. All the compounds are strongly pseudoplastic with
very low flow behaviour indices at high volume fractions.
It is presumed that following mixing the moulding compound
consists of powder particles with adherent short polymer chains,
initiated by the surface and killed by the inhibitor, a small quantity
of dissolved low molecular weight polymer and a larger quantity
of un-reacted monomer. All polymer solutions are pseudoplastic,
but the extreme shear sensitivity demonstrated here is presumed
to arise substantially from particle rearrangement processes rather
than binder properties. A comparison of the relative viscosity
values given in Figs 3 and 4 indicates that particle rearrangement
occurs at low shear rates and is presumably complete at high
shear rates. Whether this process could lead to particle anisotropy
in fabricated components would require investigation.
A number of models exist to predict the viscosity of suspensions
of particles in fluids of known viscosity and these can be divided
into two groups. The first group, detailed in Table 7, does not
take the maximum volume fraction into account and are derived
for suspensions of spheres in Newtonian liquids. Application
of these models to the data for stainless steel shows that the
experimental data lies within the range predicted by the models.
Application of the same models to the two ceramic powders
c 2008 Society of Chemical Industry
J Chem Technol Biotechnol 2009; 84: 454–460
Development of the powder reaction moulding process
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Table 7. Semi-empirical models indicating the relationship between the volume fraction, φ, and viscosity, ηr
Model
Equation
Comment
ηr = 1 + 2.5φ + 10.05φ 2 + 0.0273 exp(16.6 φ)
1
5
7
ηr = 1 − 2.5φ + 11.0φ − 11.5φ
ηr = 1 + 2.5φ + 14.1φ 2
1
2 2.5
η = (1 − 1.10φ − 0.97φ )
Thomas (1965)11
Ford (1960)12
Guth (1938)13
Vand (1948)14
φ ≤ 0.6
φ ≤ 0.52
Non-dilute suspensions of spheres
φ ≤ 0.59
r
ηr = (1 − 1.35φ)−2.5
Roscoe and Brinkman (1952)15,16
Table 8. Models indicating the relationship between the maximum volume fraction, φ, and relative viscosity ηr
Model
Equation
1.25φ 2
φ )
φm
φ
φm
2
ηr = [1 + 0.75(
φ )] φm = 0.65 for glass beads of a uniform size
1−
φm
1.25 φ
ηr = (1 + φ − φ )2
ηr = (1 +
Eliers (1941)17
Chong et al. (1971)18
Ferdos (1975)19
1−
m
Frankel and Acrivos (1967)20
Quemada (1977)21
Mooney (1951)22
For a system of permanent aggregates in Newtonian liquid
φ 1
)3
(
9 [ φm
ηr = 8
φ 1
1−(
)3
φm
For concentraed suspensions of spheres in Newtonian fluids
φ
ηr = (1 − φ )−2
m
Limited to shear large enough to disperse all aggregates but small enough to avoid any unstable effects or
turbulence in the flow and any damage to the particles
KE φ
ln ηr =
1−Sφ
kE = 2.5, s = 1/ m , for suspensions of rigid spherical particles in Newtonian fluids
Table 9. Average model-predicted and measured maximum volume
fractions
Powder
Silicon nitride
Alumina
Stainless steel
Average of maximum
volume fraction from
prediction by different
models
Experimental maximum
volume fraction
0.365
0.655
0.664
0.42
0.68
0.70
J Chem Technol Biotechnol 2009; 84: 454–460
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459
gave theoretical relative viscosities well below those obtained by
experimental measurement and this is considered to arise from
the non-spherical nature of the particles (relative to stainless steel)
and particle surface initiation of binder. The second group of
mathematical models, shown in Table 8, includes the maximum
volume fraction, and has been used here by inputting measured
viscosity data to predict the maximum powder loading, m , for a
feedstock. Each of the models was developed for particular sets
of circumstances, which will only be approximated here, and so
the procedure adopted has been to calculate m values using
each model and then take the average result. This approach allows
estimation of the theoretical maximum powder loadings and in
Table 9 these are compared with the maximum loadings obtained
by experiment. The closeness of the experimental maxima and the
theoretical maxima suggests that this approach is valid and that
experimental values are close to optimum.
The de-binding behaviour, shown as examples in Figs 5 and 6 for
silicon nitride mouldings, is typical of that generally observed, and
is consistent with a rapid depolymerisation of the binder, which
is then able to diffuse from the moulding. In an industrial process
this would be recovered for re-use. Comparing the experimental
and theoretical mass losses suggests two points of note. First, the
compounds are not completely homogeneous, and this can be
explained by the hand mixing techniques used. Secondly, taken
overall, mass losses are slightly less than the theoretical values.
This merits further investigation as even small amounts of residual
organic material could have consequences for a system such as
stainless steel. It is, however, possible that any residual material
would be lost during early stage sintering.
Considering the density and porosity data in Table 5 it is clear
that the sintering of the ceramic materials is far from satisfactory.
With the alumina this arises in part from the use of a relatively
coarse powder, chosen for ease of mixing. Although there is some
use for porous ceramics in applications such as filters, such an
outcome was not the intention of this work. It is considered that
significant improvement could come from increasing moulding
pressure during forming of the compacts and also from optimising
the sintering heating programme. The results with the stainless
steel are much more encouraging and show the benefit of working
with a feedstock optimised for powder processing.
www.soci.org
L Zhao, MN Collins, C Birkinshaw
CONCLUSIONS
REFERENCES
Essential aspects of the powder reaction moulding process have
been demonstrated using three different types of powder, silicon
nitride, alumina and stainless steel, and n-butyl cyanoacrylate as
carrier and binder. Compounds were prepared for each system at
maximum volume fractions, working windows were established,
and compounds cured, de-bound and sintered. It is appreciated
that the results generated are unique to particular combinations
of powder and monomer, but nevertheless they demonstrate the
validity of the underlying ideas.
In the work reported here the approach has been to deal with
premature reaction of the carrier-binder by dissolving appropriate
quantities of inhibitor in the monomer. An alternative approach
would be prior modification of the powder surfaces, perhaps
by acid washing, and it is possible that this route may give
manageable compounds at lower overall inhibitor levels. It is
desirable that the inhibitor concentration be minimised to reduce
the possibility of un-wanted residue and side reactions with the
powders. Most of the results under discussion here were obtained
using powder and monomer only and it is appreciated that with
ceramic powders the inclusion of sintering aids, such as magnesia,
may influence compound stability through reaction with inhibitor.
Although sintering studies did not form a major part of the work
described here it is appreciated that this is an important area to
be addressed in the future.
Relative viscosities were much higher than those predicted by
simple models and all compounds were strongly pseudoplastic,
and this behaviour is considered to arise from partial polymerisation of the monomer. Although compound viscosities are high
compared with those encountered in conventional melt processing of polymers, the moulding compounds are capable of flow,
although again this may occur in part through particle–particle
contact as well as through hydrostatic pressure.
Sintered porosity values obtained were high, particularly with
the ceramic materials and this probably arises from the hand
mixing and moulding and from the choice of powder used. It is
very likely that machine mixing and application of compaction
pressures such as those experienced in injection moulding would
offer significant improvement when used in conjunction with
optimised heating regimes.
It is considered that the data presented suggest that the powder
reaction moulding process has the potential to be developed
into a viable manufacturing technology. Future work should
utilise machine mixing and moulding, address powder–monomer
reactivity through powder treatment and develop practical
moulding technology.
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c 2008 Society of Chemical Industry
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