Experimental prediction of multi-nozzle spray characteristics for optimal design in a lead frame etching process
The objective of this paper is to provide quantitative information of uniform impact forces on the sprayed surface in order to optimize the multi-nozzle spray etching system. Spray characteristics obtained from optical non-intrusive measurements using particle image velocimetry (PIV) and particle mo...
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Published in | Journal of mechanical science and technology Vol. 32; no. 5; pp. 2127 - 2139 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Seoul
Korean Society of Mechanical Engineers
01.05.2018
Springer Nature B.V 대한기계학회 |
Subjects | |
Online Access | Get full text |
ISSN | 1738-494X 1976-3824 |
DOI | 10.1007/s12206-018-0422-3 |
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Abstract | The objective of this paper is to provide quantitative information of uniform impact forces on the sprayed surface in order to optimize the multi-nozzle spray etching system. Spray characteristics obtained from optical non-intrusive measurements using particle image velocimetry (PIV) and particle motion analysis system (PMAS) are measured in single- and twin-nozzle sprays, and then the multi-nozzle spray characteristics is simulated based on those of measurement data. The influences of the multi-nozzle arrangement, nozzle pitch, and pipe pitch on the spray characteristics such as droplets’ velocity, diameter, number density, impact force and their uniformity are properly evaluated. The experimental cases E1 and E2 represent single-spray nozzle
A
and
B
, respectively. For twin-spray tests, three nozzle combinations, namely E3 (nozzle
A-A
), E4 (nozzle
A-B
) and E5 (nozzle
B-B
) are considered with different nozzle pitches. The multi-spray simulation cases S1 and S6 represent the multi-spray cases with a homo-nozzle arrays which is consisted in all nozzles of nozzle
A
or
B
. For cases from case S2 to S5, the multi-spray cases with a hybrid-nozzle arrays which is consisted in all nozzles of nozzle
A
and
B
. The results show that the impact force increases approximately twice as much for changing of experimental test cases from E1 to E5 owing to the differences in nozzle characteristics of single-sprays and the overlap region between two adjacent nozzles. For the multi-nozzle spray simulation, the uniformity of impact force (
UI
) is increased with increasing the number of nozzle
B
which has larger orifice diameter and a wider spray angle. The optimum multi-nozzle spray arrangement is case S4 with more than 90 %
UI
, based on the fact that the
UI
is quite stable with increasing the nozzle pitch ranging from 90 mm to 145 mm. |
---|---|
AbstractList | The objective of this paper is to provide quantitative information of uniform impact forces on the sprayed surface in order to optimize the multi-nozzle spray etching system. Spray characteristics obtained from optical non-intrusive measurements using particle image velocimetry (PIV) and particle motion analysis system (PMAS) are measured in single- and twin-nozzle sprays, and then the multi-nozzle spray characteristics is simulated based on those of measurement data. The influences of the multi-nozzle arrangement, nozzle pitch, and pipe pitch on the spray characteristics such as droplets’ velocity, diameter, number density, impact force and their uniformity are properly evaluated. The experimental cases E1 and E2 represent single-spray nozzle
A
and
B
, respectively. For twin-spray tests, three nozzle combinations, namely E3 (nozzle
A-A
), E4 (nozzle
A-B
) and E5 (nozzle
B-B
) are considered with different nozzle pitches. The multi-spray simulation cases S1 and S6 represent the multi-spray cases with a homo-nozzle arrays which is consisted in all nozzles of nozzle
A
or
B
. For cases from case S2 to S5, the multi-spray cases with a hybrid-nozzle arrays which is consisted in all nozzles of nozzle
A
and
B
. The results show that the impact force increases approximately twice as much for changing of experimental test cases from E1 to E5 owing to the differences in nozzle characteristics of single-sprays and the overlap region between two adjacent nozzles. For the multi-nozzle spray simulation, the uniformity of impact force (
UI
) is increased with increasing the number of nozzle
B
which has larger orifice diameter and a wider spray angle. The optimum multi-nozzle spray arrangement is case S4 with more than 90 %
UI
, based on the fact that the
UI
is quite stable with increasing the nozzle pitch ranging from 90 mm to 145 mm. The objective of this paper is to provide quantitative information of uniform impact forces on the sprayed surface in order to optimize the multi-nozzle spray etching system. Spray characteristics obtained from optical non-intrusive measurements using particle image velocimetry (PIV) and particle motion analysis system (PMAS) are measured in single- and twin-nozzle sprays, and then the multi-nozzle spray characteristics is simulated based on those of measurement data. The influences of the multi-nozzle arrangement, nozzle pitch, and pipe pitch on the spray characteristics such as droplets’ velocity, diameter, number density, impact force and their uniformity are properly evaluated. The experimental cases E1 and E2 represent single-spray nozzle A and B, respectively. For twin-spray tests, three nozzle combinations, namely E3 (nozzle A-A), E4 (nozzle A-B) and E5 (nozzle B-B) are considered with different nozzle pitches. The multi-spray simulation cases S1 and S6 represent the multi-spray cases with a homo-nozzle arrays which is consisted in all nozzles of nozzle A or B. For cases from case S2 to S5, the multi-spray cases with a hybrid-nozzle arrays which is consisted in all nozzles of nozzle A and B. The results show that the impact force increases approximately twice as much for changing of experimental test cases from E1 to E5 owing to the differences in nozzle characteristics of single-sprays and the overlap region between two adjacent nozzles. For the multi-nozzle spray simulation, the uniformity of impact force (UI) is increased with increasing the number of nozzle B which has larger orifice diameter and a wider spray angle. The optimum multi-nozzle spray arrangement is case S4 with more than 90 % UI, based on the fact that the UI is quite stable with increasing the nozzle pitch ranging from 90 mm to 145 mm. The objective of this paper is to provide quantitative information of uniform impact forces on the sprayed surface in order to optimize the multi-nozzle spray etching system. Spray characteristics obtained from optical non-intrusive measurements using particle image velocimetry (PIV) and particle motion analysis system (PMAS) are measured in single- and twin-nozzle sprays, and then the multi-nozzle spray characteristics is simulated based on those of measurement data. The influences of the multi-nozzle arrangement, nozzle pitch, and pipe pitch on the spray characteristics such as droplets’ velocity, diameter, number density, impact force and their uniformity are properly evaluated. The experimental cases E1 and E2 represent single-spray nozzle A and B, respectively. For twin-spray tests, three nozzle combinations, namely E3 (nozzle A-A), E4 (nozzle A-B) and E5 (nozzle B-B) are considered with different nozzle pitches. The multi-spray simulation cases S1 and S6 represent the multi-spray cases with a homo-nozzle arrays which is consisted in all nozzles of nozzle A or B. For cases from case S2 to S5, the multi-spray cases with a hybrid-nozzle arrays which is consisted in all nozzles of nozzle A and B. The results show that the impact force increases approximately twice as much for changing of experimental test cases from E1 to E5 owing to the differences in nozzle characteristics of single-sprays and the overlap region between two adjacent nozzles. For the multi-nozzle spray simulation, the uniformity of impact force (UI) is increased with increasing the number of nozzle B which has larger orifice diameter and a wider spray angle. The optimum multi-nozzle spray arrangement is case S4 with more than 90 % UI, based on the fact that the UI is quite stable with increasing the nozzle pitch ranging from 90 mm to 145 mm. KCI Citation Count: 0 |
Author | Choi, Minsung Choi, Gyungmin Noh, Kiyoul Eom, Seongyong Sung, Yonmo |
Author_xml | – sequence: 1 givenname: Minsung surname: Choi fullname: Choi, Minsung organization: School of Mechanical Engineering, Pusan National University – sequence: 2 givenname: Seongyong surname: Eom fullname: Eom, Seongyong organization: School of Mechanical Engineering, Pusan National University – sequence: 3 givenname: Yonmo surname: Sung fullname: Sung, Yonmo organization: Energy Technology Development Team, Hyundai Steel Company – sequence: 4 givenname: Kiyoul surname: Noh fullname: Noh, Kiyoul organization: Air Conditioning Compressor Team, LG Electronics Inc – sequence: 5 givenname: Gyungmin surname: Choi fullname: Choi, Gyungmin email: choigm@pusan.ac.kr organization: School of Mechanical Engineering, Pusan National University |
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Cites_doi | 10.1016/S1001-6058(09)60022-6 10.1016/0959-1524(92)80003-G 10.1016/j.optlaseng.2006.03.006 10.1016/S0360-1285(96)00008-1 10.2478/IJNAOE-2013-0161 10.1016/j.jmatprotec.2005.02.035 10.1016/j.applthermaleng.2013.10.030 10.1016/j.ijmultiphaseflow.2009.11.004 10.1016/j.fuproc.2016.08.034 10.1016/S0584-8547(00)00170-1 10.1016/S0021-8502(96)00433-8 10.1016/j.biosystemseng.2007.03.001 10.1016/S0360-1285(02)00004-7 10.1016/S0924-0136(01)00751-8 10.1016/0039-9140(95)01446-I 10.1016/j.ijmultiphaseflow.2015.02.008 10.1007/s11814-009-0318-0 10.1109/28.31253 10.2478/v10178-010-0031-7 10.1137/0904045 10.1016/j.fuel.2016.01.011 10.1016/S0009-2509(98)00030-X 10.1016/j.jaerosci.2008.05.003 10.1016/j.energy.2015.12.095 10.1088/0960-1317/16/12/010 10.1007/s00348-012-1298-0 10.1007/s12541-009-0078-0 10.1016/j.cropro.2013.06.017 10.1016/j.partic.2014.12.003 10.1016/j.applthermaleng.2012.01.030 10.1080/00986440902938451 10.1088/0960-1317/17/12/N01 |
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Keywords | Spray etching Optical diagnostics Multi-nozzle Spray characteristics Uniformity Optimal design |
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SubjectTerms | Control Dynamical Systems Engineering Impact loads Industrial and Production Engineering Mechanical Engineering Nozzles Optimization Orifices Particle image velocimetry Particle motion Simulation Spray characteristics Spray etching Sprayers Velocity measurement Vibration 기계공학 |
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Title | Experimental prediction of multi-nozzle spray characteristics for optimal design in a lead frame etching process |
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