New York University
David
B. Kriser Dental Center
College
of Dentistry
Graduate
School of Arts and Science
Nov.
7, 1998
Department
of Dental Materials Science
345
East 24th Street
New
York, NY 10010
Tel.:
212-998-9637
Fax:
212-995-4085
Dr.
Samuel Waknine
DRM
Research Laboratories Inc.
29
Business Park Drive
Branford,
CT 06045
Dear
Dr. Waknine,
Please
find enclosed a final report entitled “Performance probability -
Material/Operator contribution -Direct restorative composite materials”.
The study was undertaken by Dr. Seung-Il Eom as part of MS thesis
requirements for the Masters degree in Dental Materials Science under my
supervision. Additional results and
analysis which do not form part of the MS thesis are also included in this
report.
The
Biaxial flexure strength (BFS) and Diametral tensile strength (DTS) of
“DiamondLite” microhybrid composite restorative material (DRM Res. Labs.
Inc., product) were compared to two other popular micrhybrid direct composite
formulations. The mechanical property comparisons indicate that
“DiamondLite” ranks first among the materials evaluated, in BFS and DTS.
Further, DLTE satisfies the DTS requirement as per ADA Spec. #27, at the
0.1% failure probability compared to the other materials.
The
report submits the results of the Weibull regression analysis of test data.
The characteristic strength values are presented for various levels of
failure probability as well.
Please
feel free to contact for any clarifications or additional information.
We
thank DRM Labs for the Material and Equipment grants required for this study.
Sincerely,
T.V.V.
Raghavan
T. V. Vijayaraghavan,
PhD
Associate
Professor, Dental Materials Science
Division
of Restorative and Prosthodontic
NYU
Kriser Dental Center
Performance
probability - Material/Operator contribution -Direct restorative composite
materials
T.
V. Vijayaraghavan, PhD. and
Seung-Il Eom, DDS, MS
Department
of Dental Materials Science, New York University Kriser Dental center, NY 10010
Objective
The
objective of this study is to evaluate the Biaxial flexure strength (BFS) and
Diametral tensile strength (DTS) of three direct composite materials
(DiamondLite, Z100 and Prisma TPH) and evaluate the performance probability from
mechanical strength data.
Introduction
and background
Composite
resin dental restorative materials are blends of hard glass or glass ceramic
particulate fillers and a softer polymeric resin matrix. Due to the technique
sensitivity of these materials, operator manipulation and handling differences
can alter the homogeneity of the material and lead to property differences in
the set form. Flaws such as, voids,
micro-porosities on surface or bulk, may be material inherent and/or infiltrated
or incorporated during manipulation and handling; In the presence of an external
load or force they act as local stress concentration points and failure is
initiated at lower forces[i],[ii].
The
spread in test data at constant level of experimental errors, reflects
variations in material homogeneity. The
distribution of sample strength in the test data is determined by the
statistical nature (size and distribution) of the weak links leading to failure,
i.e., differences in ‘flaw population characteristics’ from sample to sample. In the case of technique sensitive materials such as
composites, the wide range of operators who would handle this material, can
compromise the material performance by inappropriate handling or manipulation
technique. In the presence of an
external load, flaws localize stresses and failure is initiated at lower tensile
forces and leads to lower strength values or brittle behavior.
The
behavior of brittle (flaw dependent strength) materials is best represented by
the “Weibull distribution function”[iii],[iv].
‘Weibull statistical analysis’[1]
of test data is one method to characterize the variability of test data of
brittle materials[2]. The data from ‘N’ number of trials or replicates of a
sub-group is analyzed using ‘Weibull statistics’ to estimate two parameters;
1) s0,
termed the characteristic or median (probable) strength and ‘m’ the
‘Weibull modulus’ or shape parameter, which can be used to estimate the
failure probability. A high value
of ‘m’ indicates a greater level of homogeneity in material character, while
a lower value of ‘m’ would be an indicator of heterogeneity or a wider
spread in test data about s0.
From the value of ‘s0’
and ‘m’ the failure stress for a failure probability of 0.001, 0.1, 0.9 and
0.999(1, 10, 90 or 999 in 1000).labeled as s0.001,
s0.1,
s0.9,
and s0.999
can be estimated. This allows ways
to optimize the performance of the material.
The
values of s0.001,
s0.1,
indicate the possible performance of the material, for an operator, who may be a
junior operator or a first time user; while the values s0.9,
and s0.999
reflect the performance obtainable from a master technician or an experienced
user. The value of s
0,
may be
considered as a performance of the material achievable
by a ‘median’ operator. The
inherent limitation or attainable performance of the material is also
represented by the value of s0.999;
i.e., as good as it gets!. The conformity of the test data to the ‘Weibull
distribution function’ for a given sub group of N trials is indicated by the
value of R(correlation coefficient); the higher the value, the greater the
confidence in the test data. When R
is >0.9 the test data has a greater validity.
The
estimate of the uniaxial tensile strength for brittle materials is obtained from
Diametral Tensile, Three or Four point bend flexure testing.
Flexure testing or bend tests have the advantage that a state of pure
tension can be established on one side of the specimen.
However, the stress state under In-Vivo service conditions in the oral
environs are not purely uniaxial, but biaxial or triaxial in nature[v]. A biaxial flexure test has been used frequently for the
determination of fracture characteristics of brittle materials (Ban and
Anusavice) and is increasingly being adopted for the evaluation of brittle
dental materials,[vi].
The ease of sample preparation, the elimination of edge effects, the
similarity to clinical size scale and intra oral loading conditions are the main
advantages of biaxial compared to uniaxial flexure testing.
Further, the evaluation of slightly warped specimens and the possibility
of estimation of uniaxial flexure data from biaxial test data are additional
advantages of Biaxial flexure testing [vii].
This
study is a companion study to previous reported data[3]
on crown and bridge materials.
Materials
and Methods
Table
1. lists the materials used.
Sample
preparation
Biaxial
flexure disk samples 14 mm in diameter and 1.4 mm thick were prepared using a
bulk packing procedure adopted in the previous study2.
A length of the cylindrical segment of the composite dispensed from the
syringe was placed on a flat glass slab, and patted down using gentle pressure
along the long axis with a stainless steel placement instrument(#324).
A transparent plastic film followed by a glass slide or slab was placed
below the mold. The cylindrical
paste form was placed inside a stainless steel split ring mold(14 mm diameter
and 1.4 mm thick). A second plastic
film followed by a glass plate was overlaid on top and gently pressed to
distribute the resin evenly within the circumference of the ring .
Two butterfly clamps were used to squeeze the excess composite through
the split ring opening. Approximate
time under clamps was 4-5 minutes for both methods of sample preparation.
A Halogen visible light curing booth (DiamondLite, VL Halogen (DRM Res.
Labs. Inc., Branford, CT), generating 500 mW/cm2 at 450-550 nm
wavelength band, was used to cure the composite.
The cure time per surface
was 40 seconds for all materials (DLTE, Z100 and PTPH).
After curing, specimens were separated from the ring mold and stored in
distilled water maintained at 37 °C for 24 hours prior to testing. A total of 20 samples were prepared per group.
All samples were evaluated visually with a low powered magnifier for
surface defects and markings etc. These
samples were excluded from the test group.
Diametral
tensile test was performed as per ADA specification #27.
Stainless steel molds 6 mm in diameter and 3 mm in height were used to
prepare DTS test specimens. The
curing modality, time and storage (post curing ) conditions were identical to
those used for BFS test samples.
Testing BF tests were
performed using an "Instron" machine (Instron Corp, Canton, MA), with
the cross head displacement rate set at 0.50 mm/minute(0.2 inches/minute).
Disk specimens were placed on eight steel balls[4]
(3.2 mm in diameter) spaced along the circumference of a circle of diameter 10
mm. A flat ended piston of diameter
1.2 mm was used to load the sample
at the center of the disk. Tests
were carried out at room temperature. The
BFS was calculated from the maximum load at failure recorded on a chart recorder
attached to the test machine.
Biaxial
Flexure Strength
The maximum tensile stress under biaxial loading condition, prior to
failure, was calculated according
to the following equations developed by Marshall (1980)[viii].
The failure stress, s
f
, can be expressed as:
s
f
= A. Pf /t2
(1), where, ‘A’ is given
by the expression,
A
= (3/4p)
[2.(1+n).ln(a/r0*) + (1-n).(2a2-r0*2)/2b2
+ (1+n)]
(2)
Pf,
is the applied load at fracture in Newtons, n, the
Poisson`s ratio (for composite materials a value of 0.24 was used),
‘a’, the radius of the support circle, ‘b’ is the radius of disc
specimen, ‘r0*’ the equivalent radius given by
r0* =(1.6 r02 + t2)1/2
- 0.675t,
where,
‘t’ is the thickness of the disc specimen, and ‘r0‘is the
radius of the piston2.
The Diametral tensile testing was performed as per ADA specification #27.
Statistical
Analysis
Mean and standard deviation were obtained from raw data. Student t-Test was used for evaluation of significant
differences between mean value pairs. Weibull
regression analysis1 was performed using a computer, to evaluate the
characteristic strength, s0
and m, the Weibull modulus from the raw BFS and DTS data.
Results
The
results of the Weibull regression analysis of BFS and DTS raw data are
shown in tables 2 and table 3, respectively.
Of the materials studied DLTE showed the highest values of characteristic
BFS and DTS. The high values of
correlation coefficient, R, for the linear regression analysis indicate that the
distribution of raw data shows a good fit to the ‘Weibull distribution
function’ for all the materials. For
DLTE the BFS values obtained by Operators ‘a’ and ‘b’ were not
significantly different (p<0.05) for DLTE..
Discussion
The
sample preparation procedure adopted in this study may be termed ‘bulk packing’
since a volume of the composite from the syringe was used without any
manipulation. Surface defects or
flaws incorporated into the sample in addition to the preexisting volume defects
from fabrication are the likely sources for fracture initiation.
In an incremental filling mode commonly adopted for direct restoration in
the clinic, the layering of composite may incorporate additional voids or flaws
in the volume[5]
BFS is
sensitive to both surface and volume defects.
While the mode of packing the material, i.e., bulk packing, is expected
to minimize the inclusion of volume flaws; surface defects are expected to be
the prime reason for the low values of strength obtained in the sub groups,
indicating technique sensitivity of the material to manipulation. The
localization of tensile forces at surface flaws or sub-surface flaws is the
primary cause of failure in BF test mode for this mode of sample preparation..
Factors
that may affect this include sharp instruments, surface air or dust entrapment
during cavity filling, the surface finish, wetting characteristics, etc.
Visual or ocular assisted examination, for subsurface and surface defects
and their elimination prior to curing may aid in achieving values closer to the
attainable strength value for the material(s0.999).
The
spread in BFS and DTS data is narrower for the DLTE material (marginally higher
‘m’ value, non-significant) in comparison to PTPH or Z100 materials.
For all materials the drop in the s
value at the low failure probaility end (s
0.001
and s0.1)
is
greater compared to the high probability end (s0.9,
and s0.999)
of the distribution. This indicates
that manipulation and handling procedures are responsible for the low strength
values obtained in the test data.
In the
case of direct materials, incremental filling or multiple layering techniques
may lead to an increased probability for incorporation of flaws in the bulk of
the restoration. Finishing methods
adopted by the clinician, relating to surface grinding for occlusion matching
and polishing methods are expected to have an effect on the production of
surface flaws. A study based on
mathematical modeling by Versilus et al[ix]
suggest that incremental filling does not reduce polymerization shrinkage and/or
reduce residual stresses. The
effect of surface finishing procedures on the BFS is currently being studied.
For
direct composite materials, which are usually handled by clinicians, the
characteristic strength values should represent a greater correlation due to
limited manipulation and handling (cavity filling, repair), unlike for indirect
composite materials (crowns and bridge, veneers etc.) where multiple shades and
contouring, create a need for greater care in handling to maintain the materials
integrity.
Clinical
implications
The
mean DTS requirement as per ADA Spec. #27[x]
for Type II Direct filling resin composite materials is about 34 MPa.
This property requirement does not take in to account clinical parameters
such as manipulation, handling and operator expertise into account on
restorative function. For all
materials the mean DTS and the characteristic DTS value exceed 34 MPa.
Of the three only DLTE exceeds a value of 34 MPa at probability of
failure of 0.1%, Table 3. Based on DTS, a higher level of clinical performance
reliability for DLTE material (s0.1>s0.001>34
MPa),
is expected in comparison to materials where the stress for 0.1% failure
probability is less than 34 MPa (s0.1>34 MPa>s0.001).
Conclusions
1.
The reliability of strength data was evaluated using Weibull statistical
analysis. The high value of
correlation coefficient obtained for the regression fit indicate that the BFS
and DTS test data conforms to the two parameter’ Weibull distribution function’.
2.
There was no significant difference in mean BFS values as a function of
operator for DLTE material (p>0.05) for the sample preparation procedure
adopted in this study.
3.
The characteristic strength, s0,
s0.01
and s0.9
s0.999(BFS
and DTS) were estimated to be higher for DLTE material compared to PTPH and Z100
materials; indicating an increased confidence in clinical performance
probability.
Table
1. List of VLC materials
|
Material ID |
Classification |
Shade/Batch
# Exp.
Date |
Manufacturer |
|
DiamondLite DLTE |
Microhybrid |
B1/728910 013100 |
DRM
Laboratories, Inc., Branford, CT |
|
Prisma
TPH, PTPH |
Microhybrid,
Ultrafine
compact filled |
A2/949305/54226 1/8/92 |
Caulk/Dentsply,
Milford,
DE |
|
Z-100 Z100 |
Microhybrid,
|
A3/
Ref #. 5904A3 199804-15/2001-03, |
3M
Dental products, Minneapolis, MN |
Table
2.
Results of Weibull Regression Analysis
|
Material
ID |
s0 |
R |
N |
m |
SE(m) |
s0.001 |
s0.1 |
s0.9 |
s0.999 |
|
|
MPa |
|
|
|
|
MPa |
|
MPa |
MPa |
|
DLTE, Oa |
189.5 |
0.98 |
15 |
11.4 |
0.64 |
103.4 |
155.5 |
203.9 |
224.5 |
|
DLTE, Ob |
191.3 |
0.95 |
12 |
10.9 |
1.13 |
101.5 |
155.6 |
206.5 |
228.4 |
|
PTPH, Oa |
178.3 |
1.00 |
9 |
9.5 |
0.35 |
86.0 |
140.6 |
194.7 |
218.6 |
|
Z100, Ob |
145.6 |
0.96 |
9 |
8.7 |
0.99 |
65.9 |
112.4 |
160.2 |
181.7 |
s0
= Characteristic strength in Mpa, s0.01,
0.1, 0.9,0.999 = Stress level corresponding to a failure
probability of 0.01(1%), 0.1, 0.9 and 0.999(99.9%), N= Number so samples in
sub-group, m, Weibull modulus, R= Coefficient of correlation, SE = Standard
error, OA and OB: Operator A and B.
Table
3.
Mean, SD and Weibull analysis results for DTS
|
Material
ID |
s0 |
R |
N |
m |
SE(m) |
s0.001 |
s0.1 |
s0.9 |
s0.999 |
|
|
MPa |
|
|
|
|
MPa |
|
MPa |
MPa |
|
DLTE |
61.2 |
0.99 |
17 |
15.7 |
0.53 |
39.5 |
53.1 |
64.6 |
69.2 |
|
PTPH |
52.7 |
0.93 |
11 |
7.6 |
0.97 |
21.3 |
39.2 |
58.8 |
67.9 |
|
Z100 |
55.5 |
0.98 |
18 |
8.3 |
0.42 |
24.1 |
42.3 |
61.4 |
70.1 |
s0 = Characteristic strength in
Mpa, s0.01, 0.1, 0.9,0.999
= Stress level corresponding to a failure probability of 0.01(1%), 0.1, 0.9
and 0.999(99.9%), N= Number so samples in sub-group, m, Weibull modulus, R=
Coefficient of correlation.
Weibull
plots from s0
and
‘m’ and inset showing the variation of stress at the low and high failure
probability region.
References
[1]
The basic form of the ‘Weibull’ equation is , Pi = 1- exp{-[(si-su)/
s0]m}
where si is the failure stress and su, the cut-off stress below which the probability of failure is zero, s0, is the reference or scaling parameter also called the characteristic strength, and ‘m’, the shape parameter or the Weibull modulus The value of su is assumed to be zero, since fracture cannot occur below this stress; however; a base level strength can be assumed where possible. The raw data in the test group is arranged in an ascending order of rank. The probability value, Pi, corresponding to a value of fracture stress, si, is calculated using the expression, Pi = n/N+1, where n is the sample rank and N, the total number of samples in the group. The constants s0, and m. are estimated relatively easily, using a personal computer to perform the ‘linear regression’ to fit the raw data to the Weibull distribution function.
[2] Material failure or fracture with little or no plastic deformation.
[3] The earlier report “Vijayaraghavan TV and Eom S (1998); Performance probability - “Material/Operator contribution -Esthetic Crown and Bridge materials” is available on request from DRM Res. Labs, Inc., Branford, CT
[4] A wide number of configurations were used in the previous studies on ceramic material. Three supports at 5 mm from the center are deemed enough to provide for uniform loading. The eight supports (stainless steel balls) was adopted to provide for maximum uniformity in loading
[5] In a companion study on crown and bridge materials the strength values obtained for an incremental packing sample preparation procedure were significantly lower compared to the bulk packing procedure (t-Test;p<0.05). The report is available on request from DRM laboratories, Inc., Branford, CT 06405.
[i] McCabe JF and Carrick TE; (1986); A statistical approach to the mechanical testing of dental materials, Dent Mater 2:139-142.
[ii] Ban S and Anusavice KJ (1990); Influence of test method on failure stress of brittle dental materials, J Dent Res69(12):1791-1799.
[iii] McCabe JF and Carrick TE; (1986); A statistical approach to the mechanical testing of dental materials, Dent Mater 2:139-142.
[iv] Ritter JE, (1995); Critique of test method for lifetime predictions, Dent Mater 11:147-151.
[v] De Groot R et al (1987): Failure stress criteria for a composite resin, J Dent Res 66(12):1748-1752.
[vi] Eom Seung-Il (1998); Biaxial flexure strength of composite restorative material, MS Thesis, Graduate School of Arts and Sciences, New York University, NY, NY 10010, 1998
[vii] Ban S and Anusavice KJ (1990); Influence of test method on failure stress of brittle dental materials, J Dent Res69(12):1791-1799.
[viii] Marshall DB (1980); An improved biaxial flexure test for ceramics, J Am Ceram Soc 59:551-553.
[ix] Versluis A, Douglas WH, Cross M and Sakaguchi RL (1996); Does incremental filling technique reduce polymerization shrinkage stress?, J Dent Res 75(3):871-878.