From: Subject: Optimizing Particle Removal in Ultrasonic Baths Date: Thu, 17 Mar 2005 01:12:01 +0100 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0000_01C52A8E.533A9D00" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.2180 This is a multi-part message in MIME format. ------=_NextPart_000_0000_01C52A8E.533A9D00 Content-Type: text/html; charset="Windows-1252" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.particle.com/whitepapers_hiac/ultrasonic.htm Optimizing Particle Removal in Ultrasonic = Baths

Optimizing Particle Removal in Ultrasonic=20 Baths
D. = John=20 Hunt, Applications Research Engineer and Bill Thorpe, = Associate=20 Support Engineer

Introduction

Part cleanliness becomes increasingly = important as=20 mechanical, optical, and electronic parts shrink in size and formerly=20 inconsequential particulates grow in comparison.=20

To remove even sub-micron particles, = semiconductor,=20 micro-electromechanical systems (MEMS), optical and hard disk drive = (HDD)=20 components, micro inertial sensors, laser gyroscopes, compact discs = (CD=92s) and=20 optical coating applications all employ liquid ultrasonic cleaning baths = for=20 both intermediate and final cleaning steps. =

In contrast, traditional industrial = cleaning=20 applications often use liquid sprays to remove machining debris, oils, = and large=20 particulates from engine blocks, transmission parts, and other cast and = machined=20 parts of many types. However, intermediate industrial applications; e.g. = natural=20 gas solenoid valves, injector nozzles, compressors, air bag sensors, and = many=20 others are now using ultrasonic cleaning baths as well. In these items,=20 particles may not be yield limiting as they are in the high technology = arena,=20 but they can be just as important to long-term function, and can even be = potentially catastrophic.

Understanding, and optimizing, ultrasonic = cleaning=20 bath parameters can result in major improvements in part cleanliness, = cleaning=20 efficiency, and ultimately part reliability and lifetime.=20

Ultrasonic=20 Cleaning Parameters

Ultrasonic baths formerly employed = chlorofluorocarbon=20 (CFC) cleaning fluids and other volatile organic compounds (VOC=92s). = However, the=20 Montreal Protocol has restricted the use of these fluids to avoid = potential=20 ozone depletion, consequently today=92s ultrasonic baths use = predominantly=20 water-based solutions. Thus, the hot DI water ultrasonic bath has become = one of=20 the most popular cleaning processes in use today, for both high = technology and industrial = applications.=20

An excellent CleanTech 1999 paper, entitled = =93Advanced Ultrasonic Surface = Cleaning=94,=20 by Ahmed Busnaina[1], presented = the=20 variations in surface cleaning efficiency of sub-micron sized particles = on=20 semiconductor wafers using the aqueous ultrasonic bath.=20

There are many parameters affecting the = cleaning=20 ability of an aqueous ultrasonic bath, including; contamination type, = quantity,=20 and application manner; water temperature, auxiliary cleaning agent and=20 concentration; ultrasonic power, frequency, and sweep rate; filter = particle=20 size, recirculation rate, and bath flow dynamics.=20

Mr. Busnaina=92s paper examines particle = removal=20 efficiency by an aqueous ultrasonic cleaning bath, versus temperature,=20 ultrasonic power, ultrasonic frequency and cleaning duration. The = contamination=20 particles used in those tests were typically single sized, sub-micron, = plastic=20 calibration particles; and the particle counts were performed on the = cleaned=20 part, after completion of = the aqueous=20 cleaning and subsequent drying.

In contrast, this paper is focussed on = the=20 industrial, rather than the high technology, realm of industry. Natural = silicate=20 particles, spanning a large size range, were used as test contaminants = in place=20 of single sized plastic spheres; and real time particle counts were = measured in the wash bath, not on the = dried=20 part!

Traditionally, particle counters do not = fare well in=20 the wash bath, due to the = cleaning=20 agents and their concomitant bubbles, which appear as false particles. = However,=20 by taking special precautions, the graphs in this paper show the actual = particle=20 removal process, taking place directly in the wash bath! One graph = includes the=20 characteristic signature of bubble interference in comparison.=20

Part=20 Cleanliness Tools

Many techniques are traditionally used to = determine=20 part cleanliness; water break test, contact angle, UV photoelectric = emission,=20 optically stimulated electron emission (OSEE), scanning electron = microscopy=20 (SEM), secondary ion mass spectroscopy (SIMS), Auger electron = spectroscopy=20 (AES), electron spectroscopy for chemical analysis (ESCA), evaporative = rate=20 analysis (MESERAN), nonvolatile residue analysis (NVR), surface scatter = particle=20 counting, thermogravimetric analysis, total organic carbon analysis = (TOC), phase=20 imaging, gas chromatrography (GC), mass spectrophotometry (MS), and = Fourier=20 transform infra-red spectroscopy (FTIR). =

Most of these tests measure chemical = contamination,=20 while the few that do measure particulates cannot be used in a liquid=20 medium.

Particle Counting Advantages and = Concerns=20

The application of optical single = particle counters=20 to operating ultrasonic baths provides a convenient means of monitoring = the=20 cleaning process by particle size and in real time. However, several = questions=20 have been raised regarding particle counting=92s efficacy and the = application of=20 its possibly unique advantages.

Does the=20 particle counter function properly while sampling from an operating = ultrasonic=20 bath? Does the ultrasound energy disrupt its particle counting = ability?=20

Can an optical=20 particle counter yield stable data when used in a detergent bath?=20

Can particle=20 removal efficiency be determined using a particle counter?=20

Can an=20 =93optimal=94 process be established to clean all parts, even if = confined to a=20 single part type and contaminant?

Finally, if a=20 single =93optimal=94 cleaning pass is achievable, how can it be = maintained?=20

These questions were investigated in a = series of=20 tests using silicate contaminants, typical of many environmental and = industrial=20 soils, and utilizing an on-line particle counter sampling from within an = operating ultrasonic bath.

Test=20 Configuration

A simple recirculating bath system was constructed using a 150 = ml glass=20 beaker, 0.3 micron absolute filter, a small heated ultrasonic bath, and = a=20 battery operated portable particle counter with its own internal = pump.=20

The beaker contained 100 ml of aqueous cleaning fluid, = typically 93-100%=20 DI water, which was filtered and recirculated at a high 100% per minute = rate,=20 i.e. one bath refresh each minute. This recirculation speed provided a = rapid=20 particle capture rate for better enumeration of total particle load. The = system=20 is shown in figure 1, below.

Figure 1 =96 Particle Counter, Filter, and Ultrasonic Bath Test = Setup=20

=20

Test = Procedure=20

The general test procedure began by = verifying the=20 initial beaker and system clean up to an acceptable background particle = level=20 for particles larger than 2 microns. Particle counts less than 10 = particles/ml=20 were considered acceptable. Counts of 5-6 particles per ml were readily = achieved=20 and, with sufficient patience, even levels of 0-1 p/ml were observed. = Refer to=20 Graphs 1 & 2 for = examples of=20 beaker clean up. Please note, = all graphs=20 show cumulative particle counts, for the sizes noted, on a per = milliliter=20 basis.

A cleaned test item was then suspended in the bath and the = minute by=20 minute particle count of the wash water was recorded. Once the = =93cleaned=94 part=20 achieved a low particle value, often arbitrarily set to 10-20 p/ml, then = a=20 second contaminated test item replaced the original and the =93dirty=94 = part=20 particle response was recorded. =20

The cleaning agent type and/or its concentration was varied and = the test=20 repeated on identically contaminated items. =

Test=20 Contaminant

The parts were contaminated using a water solution of known = concentration=20 of AC Fine Test Dust (ACFTD), which was then baked, or air-dried, onto = the test=20 item. ACFTD is an ASTM (American Society for Testing and Materials) = recognized=20 material, composed of a known distribution of mostly silicate = particulates.=20

This now obsolete material is currently being replaced with a = series of=20 ISO certified, and markedly more expensive, test dusts of similar = composition,=20 but with better documented particle distributions.

Test = Parameters=20

Tests were performed for variations in item material, shape,=20 contamination level, cleaning agent type and concentration. All tests = were=20 performed at a nominal bath temperature of 50 =B0C, = filtered recirculation rate of 100 ml/min (1 bath change per minute), = and=20 continuous ultrasonic agitation (45 W average/135 W peak power at 38.5+2 = kHz=20 swept), unless otherwise stated.

Test = Items=20

A number of common test items were also employed to present a = variety of=20 materials, surface finishes, and shapes. These items proved to be = amazingly=20 varied in their ability to harbor and dislodge particulates. =

Results=20

Aluminum Sheet Metal =

Originally, simple strips of = 2024-aluminum alloy,=20 1.5=94wide x 2.4=94 long x 1/16=94 were tested in a heated DI water = ultrasonic bath.=20 These test coupons were cleaned and tested to confirm their ability to = achieve=20 low background particle count levels. The particle response of a typical = cleaned=20 coupon is shown in Graph 3. This graph shows = the pulsed=20 ultrasonic particle response initially of the beaker itself, and then = the=20 Aluminum test coupon. Ultrasonic energy was experimentally applied every = 10=20 minutes in this test, but was applied continuously for all other tests = shown in=20 the remaining graphs.

The beaker quickly achieved very low = background=20 counts, but despite leaving the coupon in the bath for over an hour, the = particle counts never returned to the low baseline values of the initial = bath.=20 Examination of the cleaned and dried coupons revealed a copper-oxide = colored=20 stain. Since this alloy of aluminum contains about 5% copper, we suspect = the=20 copper was being exposed by the effects of the heated DI water. We = observed the=20 same effect on commercial aluminum foil, which was exposed only to the = vapor=20 from the DI bath.

After this failure to achieve a low = particle count=20 baseline using an aluminum coupon, stainless steel disks were tested to = avoid=20 generation of particles by possible chemical corrosion.=20

Stainless Steel

Stainless steel rod, grade #303, = measuring 1 =BD=94 in=20 diameter was cut into approximate =BC=94 thick pieces, then machined = flat, and=20 washed prior to particle count testing. No staining of any kind was = observed=20 after the hot DI ultrasonic cleaning. However, high particle counts were = again=20 observed for the duration of the bath cleaning, with no indication that = the=20 parts would ever clean up. Observe Graph 4 for the particle = cleanup=20 rate of an uncontaminated Stainless Steel coupon. It too appears to = reach a=20 constant particle level until the test is terminated.=20

From the failures of both these metals to = clean up=20 satisfactorily, we postulated the cause might be due to the surface = texture of=20 the metal. Both metal coupons displayed the typical porous surface = finish of=20 unpolished metal.  To test = this=20 theory, we tested glass microscope slides, which had mostly smooth = glassy=20 portions, but also a rough etched section. =

Glass Slides

Glass microscope slides, measuring 1=94 x = 3=94, with a =BE=94=20 frosted end on one side, were tested next and demonstrated excellent = clean up,=20 provided the frosted end was not immersed. See Graph 5 for these test = results.=20

Based on their superior particle cleanup = ability,=20 smooth glass slides were then used for subsequent contamination testing. = However, the particle removal between slides of different contamination = levels=20 proved inconsistent. Refer to Graph 6, which shows less particle = removal from=20 contaminated slides than for =93clean=94 slides in a detergent = (Citranox)=20 solution.

Visual inspection of the inconsistent = slides revealed=20 residual stains where the particle solution had been baked onto the = surface.=20 Apparently, variations in how the contaminant dried onto the surface had = produced differing adhesion strengths and thus removal rates.=20

The bath particle concentration was tested by directly = injecting=20 100 to 500 ml=20 of ACFTD particle solution, i.e. 50-250 mg=20 of actual dust directly into the bath. Within the range of experimental = error,=20 this produced the expected linear results, see Graph 7.=20

Two sets of 5 slides each were similarly=20 contaminated. One set was rapidly dried at 200F and then run in the = bath, while=20 the other set was dried overnight at room temperature before testing. As = expected, the quickly dried contamination dislodged fewer particles than = the=20 slowly dried slides.

Graph 8 shows markedly = fewer=20 particles are liberated from the baked on slides as compared to the free = bath=20 injection (Graph 7). Also, generally more = particles were=20 released from the air-dried slides of equal contamination (not shown), = but their=20 release appeared more erratic and drawn-out. =

Cleaning Agents Remove Residual = Baked On=20 Contamination=20

Uniformly contaminated glass test slides = were used as=20 test coupons to evaluate the effects of several commercial cleaning aids = when=20 added to the DI water of the ultrasonic bath. =

The cleaning agent manufacturer = recommends to first=20 try a low concentration solution, followed by an anticipated = over-concentration,=20 then an intermediate concentration that might prove nominal. However, we = chose=20 to steadily increase, or decrease, the concentration of the cleaning = agent in=20 our experimental application for the sake of test convenience.=20

Cleaning agents are formulated for = different=20 contamination conditions, e.g. acid or base solution and plastic, metal, = or=20 glass parts. Selecting the correct cleaning agent can be part science = and part=20 art. Manufacturers often assist in selecting the correct product for = each=20 particular application.

Citranox[2] =

Citranox cleaning=20 agent was tested for its particle removing ability at different = concentrations=20 using ACFTD contaminated glass microscope slides. Graph 9=20 shows the particle removal = results=20 of 3%, 5%, and 7% solutions of Citranox in DI water upon three = identically=20 contaminated glass slide test coupons. Other results for concentrations = of 0.5 %=20 and 1.75% (not shown) reveal a nominal concentration of about 3%; see = table=20 below.

%=20 Citranox

0.5%=20

1.75%=20

3%=20

5%=20

7%=20

Particle Count=20 Peak
(particles/ml)

 53

 97

165=20

120=20

95=20

Detergent 8

After the fashion of the Citranox testing = above,=20 Detergent 8 was similarly tested at 1% and 3% concentrations and those = results=20 appear in Graph 10. Both = concentrations yield=20 essentially identical particle removal peaks of about 100 p/ml. However, = so much=20 difficulty with false mixing counts was encountered that no additional=20 concentrations were tested.

The low initial particle removal peaks, = trouble in=20 achieving low background counts, rapid recovery of slide counts to base = line=20 values, and highly visible residue on the slides after being washed and = dried,=20 portend against using Detergent 8 for this application.=20

Triton=20 X-100

The Triton X-100 results generally follow the above Citranox = example, as=20 shown in Graph 11. The following = table lists=20 the peak particle count removal values versus Triton X-100 = concentration.=20

%=20 Citranox

1%=20

3%=20

5%=20

7%=20

Particle Count=20 Peak
(particles/ml)

 99

 125 =

73=20

101=20

Again, the 3% concentration appears to be = optimal for=20 removing particles. The chart appears to show a possible inflection = point for 7%=20 concentration, but Graph 11 reveals three = distinct=20 peaks for the 3% concentration, whereas there is only one such peak for = the 7%=20 solution. Thus, many more particles were removed at 3% concentration, = though=20 they did not occur all in the first peak. =

Note =96 Triton X-100 left an oily = residue on the=20 slides and required great amounts of rinsing with hot water to clean it=20 thoroughly from the particle counter and tubing/beaker system.=20

Summary

Surface=20 Texture =

Simple smooth glass = microscope=20 slides provided a convenient vehicle for testing basic contamination = removal=20 techniques and verifying theory. However, real-world parts do not = typically=20 resemble smooth glass and are frequently complex in structure and = material=20 finish. These factors can greatly complicate optimal cleaning = determination, as=20 was observed with the simple aluminum and stainless coupon results shown = earlier.

Particle Counts During Sonication=20

The particle count shedding behavior = (particulate=20 cleaning) of both test coupons and common machined and molded pieces = (not shown=20 here) were successfully observed in=20 situ, within the bath, during ultrasonic cleaning.=20

Measuring particle counts directly in = ultrasonic=20 baths is possible, even a bath containing a sudsy cleaner, as evidenced = by the=20 near zero particle counts in a clean sonicating bath and the proper = measurement=20 of varying amounts of known contaminants =

Clean = Up Time=20

Particle=20 clean up rate varied according to the manner in which the part was = contaminated.=20 Low temperature evaporation of the contamination conveying fluid from = the part=20 resulted in lower particle surface adhesion, while high temperature = evaporation=20 produced stubborn bonding of particulates to the test part. =

Different materials, of different shapes = and surface=20 finishes, may require a surprisingly varied range of cleaning conditions = to=20 achieve acceptable cleanliness. =20 Under some conditions, an ultrasonic bath cleaning process can = =93stall=20 out=94, providing no further removal of the remaining particulates = despite=20 indefinite extensions of cleaning time. =

Universal vs. Optimal Cleaning = Process=20

It may be possible, but probably not = economical, to=20 establish a single universal = process=20 to clean each and every item completely, every time. However, it may = require=20 such a large investment in equipment, time, and cleaning agents, that it = would=20 be prohibitively expensive and would result in inefficient and wasteful=20 over-cleaning of most items.  

However, an =93optimal=94 cleaning = =93recipe=94 may be able=20 to be formulated for each part = type=20 by running several parts through an exhaustive matrix of conditions and = measure=20 their resultant cleanliness by traditional methods.  Again, this challenging task = would need=20 to be repeated for each part type.

Alternative Optimal Cleaning =

An alternate technique may be to monitor = particulate=20 removal in real time, for each part type, thus =93optimizing=94 particle = removal for=20 each batch of components being cleaned, regardless of part size, shape, = and=20 contamination level.

Each =93recipe=94 would accommodate a = specific part type,=20 material, shape, and finish, while the degree of contamination would be=20 monitored on-line to determine the nominal cleaning duration.=20

By whatever means an =93optimized=94 = process is=20 determined, it may need subsequent and frequent verification and/or = alteration,=20 especially if the part contamination loading varies, or even if the = surface=20 texture or finish of the part is altered. =

Conclusions

The in-situ particle counting of = an=20 ultrasonic bath, during the = cleaning=20 process =96 even with cleaning agents - can provide a direct means of = measuring=20 when parts have been cleaned of particulates to the desired level. Rote = reliance=20 on previously =93optimized=94 process conditions need not be blindly = followed, but=20 can be periodically (or even continuously) verified.=20

However, on-line particle counting = results should be=20 correlated with another standardized cleanliness test on the finished = part, to=20 ensure the cleaning bath did not =93stall out=94 by reaching its maximum = cleaning=20 ability before all the particles were removed. =

If varying cleaning results are = encountered, despite=20 following an =93optimized=94 process, on-line particle monitoring can = provide a tool=20 to reveal the cause, and then be used to establish and maintain a truly=20 =93optimized=94 cleaning process.

Continuous in-process particle monitoring = may=20 alleviate the rigorous cleaning conditions and shorten the duration = developed=20 for =93worst case=94 contamination levels, which are then imposed on = each and every=20 part. Thus on-line particle monitoring can be employed to conserve = cleaning=20 resources, while increasing cleaning throughput, without jeopardizing = part=20 cleanliness.=20


Graph 1: Beaker=20 Cleanup =96 in DI Water

Graph 2: Beaker Cleanup =96 = Without &=20 With Ultrasonics -=20 in DI Water

Graph 3: Aluminum -=20 Cycled Sonication =96 in DI Water

Graph 4: = Stainless Steel=20 -=20 Cleanup Plateaus =96 DI Water

=20


Graph 5: Clean=20 Glass Slides =96 Smooth vs. Frosted -=20 DI Water

Graph 6: Clean & = Contaminated Glass=20 Slides vs. Citranox Cleaner


Graph 7:=20 Contamination Directly Into Beaker Solution =96 100 to 500 ul=20

Graph 8: Slides with = Contamination Baked=20 On =96 100 to 500 ul


Graph 9:=20 Contaminated Slides vs. Citranox @ 3%, 5%, 7% =

Graph 10: Contaminated Slides = vs.=20 Detergent 8 @ 1 & 3%


Graph 11:=20 Contaminated Slides vs. Triton X-100 @1, 3, 5, & 7%=20

[1]=20 Advanced Ultrasonic Surface = Cleaning,=20 Ahmed Busnaina, Ph.D. , Clean = Tech 99=20 Conference, Microcontamination Research Laboratory, Clarkson = University=20  

[2] Citranox and Detergent 8 are registered = trademarks of=20 Alcon Company, Newark, New=20 Jersey

Triton X-100=20 was=20 formerly a trademark of the DuPont Company, but is now widely=20 produced.

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