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SEMI F39-0699 © SEMI 1999 1 SEMI F39-0699 GUIDELINE FOR CHE MICA L BLENDING SYSTEM S This g u ideline was tec hnically approved by the Global Fa cilities Committee and is the direct respo nsibility of the Nort h America …

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SEMI F38-1104 © SEMI 1999, 2004 5
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F1, F2 = 10” PTFE Membrane Filter or Equivalent Filter with Sufficient Flow Capacity (LRV 9)
#2
R1 = @ 0 - 100 psig Outlet Regulator
#3
FM1, FM2 = Low Flow ( 0 - 50 slm) Flowmeter
Figure 1
Schematic Diagram of Filter Test System
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SEMI F39-0699 © SEMI 19991
SEMI F39-0699
GUIDELINE FOR CHEMICAL BLENDING SYSTEMS
This guideline was technically approved by the Global Facilities Committee and is the direct responsibility of
the North American Facilities Committee. Current edition approved by the North American Regional
Standards Committee on December 18, 1998. Initially available on www.semi.org January 1999; to be
published June 1999.
1 Purpose
1.1 This guideline establishes terminology,
classification, performance characterization, and
qualification methods for chemical blending equipment.
2 Scope
2.1 This guideline applies to chemical blending
equipment interfaced with Bulk Chemical Distribution
Systems (BCDS).
3 Limitations
3.1 This guideline does not cover subject matter
concerning chemical distribution capability of some
chemical blending equipment, chemical blending
methodology, or materials of construction used in this
equipment.
4 Referenced Documents
4.1 SEMI F31 — Guide for Bulk Chemical
Distribution Systems
5 Terminology
5.1 accuracy A quantity describing the deviation of
the mean blend ratio produced by the chemical blending
equipment from the desired constituent ratio.
5.2 assay A term used to determine the amount of a
chemical constituent in a blend.
5.3 baseline contamination level The level of
impurity measured in the source fluids, including UPW
and chemical.
5.4 batch The end quantity of chemical resulting
from the blending of the chemical constituents.
5.5 blending Combination of two or more
chemicals to create a mixture which contains a desired
ratio of constituents. A dilution process by this
definition is also a blending process. However,
blending is a more general case where UPW is not
always one of the constituents. Therefore, the term
blending will be used in the remainder of the document.
5.6 Central Limit Theorem (CLT) The CLT is a
probability theorem which allows the approximation of
normality for any distribution. The CLT applied to
chemical blending states that if a sufficient number of
random samples are taken from the distribution of all
chemical produced by chemical blending equipment,
then the average measurement of these samples can be
approximated to follow a normal distribution. A rule of
thumb for the “sufficient number of batches” is thirty or
greater.
5.7 dilution Combination of a concentrated
chemical and UPW to create a lower concentration of
the aqueous chemical.
5.8 duty cycle The normal percentage of time that
the chemical blending equipment is operating.
5.9 mixing Mechanical energy imparted to a
combination of two or more chemical constituents used
to create a homogenous solution.
5.10 on-site blending Chemical blending
equipment used for blending chemical on location of
the semiconductor manufacturing facility
5.11 precision or repeatability A quantity
describing the degree of achieving the same ratio of
chemical constituents in the blend over time.
5.12 production rate The volume of chemical able
to be blended and provided to the BCDS per day.
6 Classification
6.1 Batch Blending The process of chemical
blending where the chemical constituents are combined
and mixed in a tank before being made available for
use.
6.2 Feed-forward Controlled Blending Blending
process which uses information (i.e. incoming chemical
assay) of the chemical constituents as the basis for
combining these constituents. Examples of feed-
forward blending processes include, but are not limited
to, those processes that use weight or volume for
control.
6.3 Feedback Controlled Blending Blending
process which combines constituents based on
measurements of the blended chemical. Examples of
feedback controlled blending process include, but are
not limited to, those processes controlled by
measurements of density, conductivity, and chemical
assay (by titration).
SEMI F39-0699 © SEMI 1999 2
6.4 In-line Blending The process of chemical
blending where the chemical constituents are combined
in line and are immediately available for use.
7 Performance Characteriza tion
7.1 Blending Repeatability :
7.1.1 Batch Blending
7.1.1.1 Sample Collection: A sample of at least thirty
batches of blended chemical is taken. Assay of this
chemical is measured.
7.1.1.2 Calculations: The mean and standard deviation
of the batches are computed.
7.1.1.3 Reporting: When reporting repeatability, either
of two methods is acceptable. Both methods quote
precision in terms of the chemical assay.
7.1.1.3.1 Repeatability at one concentration = mean ±
3σ (where=σ is in units of concentration)
7.1.1.3.2 Repeatability in range of concentrations:
Individually calculate percent relative standard
deviation at 3σ = (3σ / mean) × 100% for representative
concentrations within the desired range (30 samples for
each concentration, calculate a standard deviation and
mean for each concentration). Repeat largest percent
relative standard deviations at 3σ=and concentration
range examined or report percent relative standard
deviation at 3σ for each individual concentration.
7.1.1.3.3 Multiple Components: If more than one non-
aqueous chemical constituent exists in the blend, the
precision for each must be quoted individually.
7.1.2 In-Line Blending
7.1.2.1 Sample Collection: At least thirty samples of
blended chemical are taken. The time interval between
samples must be at least one hour. Assay of this
chemical is measured.
7.1.2.2 Calculations: The mean and standard deviation
of the samples are computed.
7.1.2.3 Reporting: When reporting repeatability one of
two methods is acceptable. Both methods quote
precision in terms of the chemical assay.
7.1.2.3.1 Repeatability at one concentration = mean ±
3σ (where=σ is in units of concentration)
7.1.2.3.2 Repeatability in range of concentrations:
Individually calculate percent relative standard
deviation at 3σ = (3σ / mean) × 100% for representative
concentrations within the desired range (30 samples for
each concentration, calculate a standard deviation and
mean for each concentration). Repeat largest percent
relative standard deviations at 3σ=and concentration
range examined or report percent relative standard
deviation at 3σ for each individual concentration.
7.1.2.3.3 Multiple Components: If more than one non-
aqueous chemical constituent exists in the blend, the
precision for each must be quoted individually.
7.2 Blending Accuracy
7.2.1 Since calculation of accuracy takes into account
both equipment operational parameters (calibration
frequency and drift) and also changes in chemical input
(feed forward blending), calculation of blend accuracy
will not be standardized. However, by definition, a
reported accuracy can not be less than blend precision.
7.2.2 Reporting of Accuracy
7.2.2.1 Accuracy at one concentration = desired
concentration ± 3σ
7.2.2.2 Accuracy in range of concentrations: Report
range of concentrations where this accuracy applies and
the accuracy in terms of a percentage of the chemical
concentration. Report accuracy with statistical
significance of 3σ.
7.3 Production Rate
7.3.1 All production rates described should reference
the duty cycle, i.e. the percentage of time that the
equipment is operating to achieve the quoted
production rate.
7.3.2 Batch Production Rate = batch volume / time to
produce one batch (hours) × 24 hours × duty cycle
7.3.3 In-line Production Rate = flow rate (volume
/day) of blended chemical × duty cycle
7.4 Purity
7.4.1 Particles Particle performance should be
expressed in the same manner as BCDS (i.e. < x
particles / ml @ > 0.y µm)
7.4.2 Trace Metals Metallic purity performance
should be expressed in a similar manner as BCDS.
However, blending systems, by definition, have several
source materials, which could include water. Each
source material contributes to the “baseline
contamination level” (equivalent to drum contamination
level in BCDS). A volumetric combination (based on
the volumetric combination of source materials) of the
contamination levels should be used to construct the
baseline contamination level.
7.4.3 Ionic Contamination / TOC Should be
expressed in a similar manner as BCDS.
7.5 Uptime
7.5.1 MTBA Mean Time Between Assists should