Multi-objective process optimization for overpressure reflow soldering in electronics production:
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Sprache: | English |
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2020
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Schriftenreihe: | FAU Studien aus dem Maschinenbau
Band 358 |
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Beschreibung: | xviii, 175 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 566 g |
ISBN: | 9783961473823 396147382X 9783961473830 |
DOI: | 10.25593/978-3-96147-383-0 |
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100 | 1 | |a Esfandyari, Alireza |0 (DE-588)1225487692 |4 aut | |
245 | 1 | 0 | |a Multi-objective process optimization for overpressure reflow soldering in electronics production |c Alireza Esfandyari |
246 | 1 | 3 | |a Multikriterielle Prozessoptimierung beim Überdruck-Reflowlöten in der Elektronikproduktion |
264 | 1 | |a Erlangen |b FAU University Press |c 2020 | |
300 | |a xviii, 175 Seiten |b Illustrationen, Diagramme |c 24 cm x 17 cm, 566 g | ||
336 | |b txt |2 rdacontent | ||
337 | |b n |2 rdamedia | ||
338 | |b nc |2 rdacarrier | ||
490 | 1 | |a FAU Studien aus dem Maschinenbau |v Band 358 | |
502 | |b Dissertation |c Friedrich-Alexander-Universität Erlangen-Nürnberg |d 2020 | ||
650 | 0 | 7 | |a Versuchsplanung |0 (DE-588)4078859-3 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Überdruck |0 (DE-588)4186553-4 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Qualitätssicherung |0 (DE-588)4126457-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Ofenlöten |0 (DE-588)1228004048 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Oberflächenmontage |0 (DE-588)4248071-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Prozessoptimierung |0 (DE-588)4176074-8 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Ressourceneffizienz |0 (DE-588)1120956560 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Reflow-Löten |0 (DE-588)4273607-9 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Mehrkriterielle Optimierung |0 (DE-588)4610682-0 |2 gnd |9 rswk-swf |
653 | |a Electrical engineering | ||
653 | |a Static analysis | ||
653 | |a Multi-objective optimization | ||
653 | |a Production | ||
653 | |a Neural network | ||
653 | |a Electronics | ||
653 | |a Reflow soldering | ||
653 | |a Resource efficiency | ||
653 | |a Electronics production | ||
653 | |a Overpressure reflow soldering | ||
653 | |a Void-free soldering | ||
653 | |a Resource efficient production | ||
653 | |a Exergy analysis | ||
653 | |a Decision making optimization | ||
653 | |a Artificial Neural Network (ANN) | ||
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Oberflächenmontage |0 (DE-588)4248071-1 |D s |
689 | 0 | 1 | |a Reflow-Löten |0 (DE-588)4273607-9 |D s |
689 | 0 | 2 | |a Überdruck |0 (DE-588)4186553-4 |D s |
689 | 0 | 3 | |a Ofenlöten |0 (DE-588)1228004048 |D s |
689 | 0 | 4 | |a Mehrkriterielle Optimierung |0 (DE-588)4610682-0 |D s |
689 | 0 | 5 | |a Ressourceneffizienz |0 (DE-588)1120956560 |D s |
689 | 0 | 6 | |a Prozessoptimierung |0 (DE-588)4176074-8 |D s |
689 | 0 | 7 | |a Neuronales Netz |0 (DE-588)4226127-2 |D s |
689 | 0 | 8 | |a Versuchsplanung |0 (DE-588)4078859-3 |D s |
689 | 0 | 9 | |a Qualitätssicherung |0 (DE-588)4126457-5 |D s |
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710 | 2 | |a FAU University Press ein Imprint der Universität Erlangen-Nürnberg |b Universitätsbibliothek |0 (DE-588)1068111240 |4 pbl | |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |t Multi-Objective Process Optimization for Overpressure Reflow Soldering in Electronics Production |d Erlangen : FAU University Press, 2020 |h Online-Ressource |
776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |o 10.25593/978-3-96147-383-0 |o urn:nbn:de:bvb:29-opus4-156047 |
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Datensatz im Suchindex
_version_ | 1804182123877236736 |
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adam_text | TABLE
OF
CONTENTS
PREFACE
..........................................................................................................................
III
LIST
OF
ABBREVIATIONS
AND
SYMBOLS
........................................................................
IX
LIST
OF
FIGURES
AND
TABLES
.....................................................................................
XIII
1
INTRODUCTION
.......................................................................................................
I
1.1
OBJECTIVES
OF
THE
THESIS
.............................................................................
3
1.2
ORGANIZATION
OF
THE
DISSERTATION
..............................................................
4
2
STATE-OF-THE-ART
TECHNOLOGIES,
CONCERNS
AND
OPTIMIZATION
SOLUTIONS
............................................................................................................
7
2.1
SOLDERING
PROCESS
TECHNOLOGY
AND
THE
MECHANISMS
..............................
7
2.1.1
SURFACE
MOUNT
TECHNOLOGY
(SMT)
ASSEMBLY
...............................
7
2.1.2
CONVECTION-BASED
SOLDERING
PROCESS
............................................
8
2.1.3
SOLDER
JOINT
DEFECTS
IN
ELECTRONICS
PRODUCTION
...........................
10
2.1.4
MECHANISM
OF
VOID
CREATION
IN
SOLDER
JOINT
.............................
13
2.1.5
VOID
MITIGATION
STRATEGIES
IN
SOLDERING
PROCESS
........................
15
2.1.6
MECHANISMS
OF
VOID-FREE
SOLDERING
PROCESS
TECHNOLOGIES
......
16
2.2
CLASSICAL
PROJECT
MANAGEMENT
TRADE-OFF
MODEL
AS
A
MULTI-OBJECTIVE
OPTIMIZATION
AND
DECISION
MAKING
METHOD
.........................................
19
2.2.1
ENERGY
AS
A
CRUCIAL
CRITERION
IN
CLASSICAL
TRADE-OFF
MODEL
......
21
2.2.2
ENERGY
KEY
PERFORMANCE
INDICATORS
(KPIS)
................................
24
2.2.3
THE
1ST
CONSTRAINT:
EXERGY
EFFICIENCY
ANALYSIS
TO
EVALUATE
THE
ENERGY
CRITERION
...........................................................................
26
2.2.4
THE
2ND
CONSTRAINT:
THE
PRODUCTION
LEAD-TIME
TO
EVALUATE
THE
TIME
CRITERION
.......................................................................
31
2.2.5
THE
3RD
CONSTRAINT:
ECONOMIC
PERSPECTIVE
TO
EVALUATE
THE
COST
CRITERION
................................................................................
32
2.2.6
THE
4TH
CONSTRAINT:
SOLDER
JOINT
DEFECTS
TO
EVALUATE
THE
QUALITY
CRITERION
...........................................................................
32
2.3
COMPUTATIONAL
INTELLIGENCE
FOR
PROCESS
OPTIMIZATION
........................
34
2.3.1
INTELLIGENT
PROCESS
OPTIMIZATION
METHODS
FOR
SOLDERING
PROCESS
IN
HIGH-VOLUME
ELECTRONICS
PRODUCTION
......................
36
2.3.2
ARTIFICIAL
NEURAL
NETWORK
(ANN)
PRINCIPLE
AND
APPLICATIONS
BIOLOGICAL
NEURAL
NETWORKS
........................................................
38
2.3.3
RESPONSE
SURFACE
METHOD
(RSM):
PRINCIPLE
AND
APPROACH
....
45
2.3.4
ANALYSIS
OF
VARIANCE
(ANOVA)
APPROACH
.................................
47
V
3
DESCRIPTION
OF
THE
APPLIED
METHODOLOGY
AND
THE
UTILIZED
MACHINES
AND
MATERIALS
.................................................................................................
49
3.1
METHODOLOGY
FOR
THE
MULTI-OBJECTIVE
PROCESS
OPTIMIZATION
..............
50
3.2
UTILIZED
MACHINES
AND
SOLDERING
OVEN
INTEGRATED WITH
AN
OVERPRESSURE
MODULE
...............................................................................
52
3.3
MATERIAL,
MEASUREMENT
TOOLS
AND
INSTRUMENTS
....................................
53
3.4
QUALITY
INSPECTION
INSTRUMENTS
AND
THE
MACHINE
FOR
DESTRUCTIVE
AND
NON-DESTRUCTIVE
TESTS
.......................................................................
55
4
QUALITY
INVESTIGATION
FOR
OVERPRESSURE
SOLDERING
PROCESS
THROUGH
DESIGN
OF
EXPERIMENTS
(DOE)
.....................................................................
59
4.1
MAPPING
OF
PROCESS
VARIABLES
AND
RESPONSES
FOR
SOLDER
PROFILING
WITH
OVERPRESSURE
MODULE
....................................................................
59
4.1.1
DESCRIPTION
OF
THE
SOLDERING
MACHINE
........................................
59
4.1.2
DESCRIPTION
OF
THE
SOLDER
PROFILING
..............................................
61
4.1.3
PROCESS
VARIABLES
AND
RESPONSES
................................................64
4.2
DESIGN
OF
EXPERIMENT
(DOE)
AND
QUALITY
ASSESSMENT
APPROACH
.....
67
4.2.1
VOID
RATIO
INVESTIGATION
FOR
SOLDER
JOINTS
..................................
67
4.2.2
SCREENING
PROCESS
FOR
THE
MOST
INFLUENTIAL
VARIABLES
ON
VOID
FORMATION
......................................................................................68
4.2.3
DEVELOPMENT
AND
CONDUCTION
OF
FULL
FACTORIAL
DESIGN
OF
EXPERIMENT
(DOE)
........................................................................
73
4.2.4
VOID
RATIO
RESULT,
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
.................................................................................
75
4.2.5
SHEAR
FORCE
INVESTIGATION
OF
SOLDER
JOINTS,
STATISTICAL
ANALYSIS
AND
RESULTS
....................................................................................
82
4.2.6
FURTHER
SOLDER
JOINT
DEFECTS
........................................................
83
4.3
CONCLUSION
................................................................................................
83
5
CONTROLLING
PROCEDURE
FOR
RESOURCE
CONSUMPTION
OF
SOLDERING
PROCESS
.............................................................................................................
89
5.1
DEVELOPMENT
OF
RESOURCE
TRANSPARENCY
MODEL
FOR
SOLDERING PROCESS...
90
5.2
ANALYSIS
OF
THE
ELECTRICAL
ENERGY
CONSUMPTION
...................................
91
5.2.1
MEASUREMENT
OF
PRODUCTION
LEAD-TIME
FOR
SOLDERING
PROCESS
..
92
5.2.2
ANALYSIS
OF
THE
OVEN TECHNOLOGY
FOR
ELECTRICAL
ENERGY
UTILIZATION
.....................................................................................
93
5.2.3
ANALYSIS
OF
THE
PERIPHERY
LEVELS
FOR
RESOURCE
FLOW-RELATED
ELECTRICAL
ENERGY
CONSUMPTION
..................................................
95
5.2.4
DEVELOPMENT
OF
THE
MODEL
AND
SIMULATION
PROCESS
TO
EVALUATE
THE
TOTAL
ELECTRICAL
ENERGY
CONSUMPTION
..................................96
5.3
THERMODYNAMIC
PROCESS
INVESTIGATION
OF
THE
ENERGY
EFFICIENCY
USING
EXERGY
ANALYSIS
........................................................................................
101
VI
5.31
DEFINING
THE
RESOURCE
FLOW
FOR
THE
SUBSYSTEM
BOUNDARIES....
101
5.3.2
CALCULATION
OF
THE
RESOURCE
MASS
AND
EXERGY
FLOW
................
102
5.3.3
BALANCING
AND
CALCULATION
OF
THE
EXERGY
LOSS
AND
DESTRUCTION
..104
5.3.4
DEFINITION
OF
EXERGY
EFFICIENCY
INDICATORS
AND
ANALYSIS
.........
106
5.3.5
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
FOR
ELECTRICAL
ENERGY
CONSUMPTION
................................................
107
5.3.6
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
FOR
EXERGY
EFFICIENCY
.......................................................................................
110
5.4
CALCULATION
AND
STATISTICAL
ANALYSIS
OF
THE
TOTAL
COST
FOR
SOLDERING
PROCESS
.......................................................................................................
113
5.5
CONCLUSION
................................................................................................
116
6
DEVELOPMENT
OF
MATHEMATICAL
PREDICTION
MODELS
FOR
SOLDER
PROFILES
...........................................................................................................
119
6.1
MODELING
OF
THE
CRITERIA
USING
ARTIFICIAL
NEURAL
NETWORK
(ANN)
METHOD
.....................................................................................................
120
6.1.1
DEVELOPMENT
OF
THE
ANN
MODELS
...............................................
120
6.1.2
APPLICATION
AND
VERIFICATION
OF
ANN
MODELS
............................
123
6.2
MODELING
OF
THE
CRITERIA
USING
RESPONSE
SURFACE
METHOD
(RSM)
AND
VERIFICATION
OF
MODELS
...................................................................
124
6.3
PREDICTION
APPLICATION
AND
COMPARISON
OF
ANN
AND
RSM
MODELS
..
126
6.4
CONCLUSION
...............................................................................................
128
7
MULTI-OBJECTIVE
OPTIMIZATION
OF
THE
TRADE-OFF
MODEL
USING
A
DECISION
MAKING
APPROACH
FOR
SOLDERING
PROCESS
................................
131
7.1
DEVELOPMENT
OF
TRADE-OFF
MODEL
FOR
THE
BEST
SETUP
PARAMETERS
OF
EACH
CRITERION
..........................................................................................
132
7.2
DEVELOPMENT
OF
DECISION
MAKING
PROCESS
FOR
THE
MULTI-OBJECTIVE
SOLUTION
....................................................................................................
135
7.3
PREDICTION
APPLICATION
AND
EXPERIMENTAL
RESULT
VERIFICATION
FOR
THE
TRADE-OFF
MODEL
.............................................................................
136
7.4
CONCLUSION
...............................................................................................
139
8
SUMMARY
.........................................................................................................
143
9
ZUSAMMENFASSUNG
.......................................................................................
147
BIBLIOGRAPHY
...................................................................................................
151
REIHENUBERSICHT
............................................................................................
177
VII
|
adam_txt |
TABLE
OF
CONTENTS
PREFACE
.
III
LIST
OF
ABBREVIATIONS
AND
SYMBOLS
.
IX
LIST
OF
FIGURES
AND
TABLES
.
XIII
1
INTRODUCTION
.
I
1.1
OBJECTIVES
OF
THE
THESIS
.
3
1.2
ORGANIZATION
OF
THE
DISSERTATION
.
4
2
STATE-OF-THE-ART
TECHNOLOGIES,
CONCERNS
AND
OPTIMIZATION
SOLUTIONS
.
7
2.1
SOLDERING
PROCESS
TECHNOLOGY
AND
THE
MECHANISMS
.
7
2.1.1
SURFACE
MOUNT
TECHNOLOGY
(SMT)
ASSEMBLY
.
7
2.1.2
CONVECTION-BASED
SOLDERING
PROCESS
.
8
2.1.3
SOLDER
JOINT
DEFECTS
IN
ELECTRONICS
PRODUCTION
.
10
2.1.4
MECHANISM
OF
VOID
CREATION
IN
SOLDER
JOINT
.
13
2.1.5
VOID
MITIGATION
STRATEGIES
IN
SOLDERING
PROCESS
.
15
2.1.6
MECHANISMS
OF
VOID-FREE
SOLDERING
PROCESS
TECHNOLOGIES
.
16
2.2
CLASSICAL
PROJECT
MANAGEMENT
TRADE-OFF
MODEL
AS
A
MULTI-OBJECTIVE
OPTIMIZATION
AND
DECISION
MAKING
METHOD
.
19
2.2.1
ENERGY
AS
A
CRUCIAL
CRITERION
IN
CLASSICAL
TRADE-OFF
MODEL
.
21
2.2.2
ENERGY
KEY
PERFORMANCE
INDICATORS
(KPIS)
.
24
2.2.3
THE
1ST
CONSTRAINT:
EXERGY
EFFICIENCY
ANALYSIS
TO
EVALUATE
THE
ENERGY
CRITERION
.
26
2.2.4
THE
2ND
CONSTRAINT:
THE
PRODUCTION
LEAD-TIME
TO
EVALUATE
THE
TIME
CRITERION
.
31
2.2.5
THE
3RD
CONSTRAINT:
ECONOMIC
PERSPECTIVE
TO
EVALUATE
THE
COST
CRITERION
.
32
2.2.6
THE
4TH
CONSTRAINT:
SOLDER
JOINT
DEFECTS
TO
EVALUATE
THE
QUALITY
CRITERION
.
32
2.3
COMPUTATIONAL
INTELLIGENCE
FOR
PROCESS
OPTIMIZATION
.
34
2.3.1
INTELLIGENT
PROCESS
OPTIMIZATION
METHODS
FOR
SOLDERING
PROCESS
IN
HIGH-VOLUME
ELECTRONICS
PRODUCTION
.
36
2.3.2
ARTIFICIAL
NEURAL
NETWORK
(ANN)
PRINCIPLE
AND
APPLICATIONS
BIOLOGICAL
NEURAL
NETWORKS
.
38
2.3.3
RESPONSE
SURFACE
METHOD
(RSM):
PRINCIPLE
AND
APPROACH
.
45
2.3.4
ANALYSIS
OF
VARIANCE
(ANOVA)
APPROACH
.
47
V
3
DESCRIPTION
OF
THE
APPLIED
METHODOLOGY
AND
THE
UTILIZED
MACHINES
AND
MATERIALS
.
49
3.1
METHODOLOGY
FOR
THE
MULTI-OBJECTIVE
PROCESS
OPTIMIZATION
.
50
3.2
UTILIZED
MACHINES
AND
SOLDERING
OVEN
INTEGRATED WITH
AN
OVERPRESSURE
MODULE
.
52
3.3
MATERIAL,
MEASUREMENT
TOOLS
AND
INSTRUMENTS
.
53
3.4
QUALITY
INSPECTION
INSTRUMENTS
AND
THE
MACHINE
FOR
DESTRUCTIVE
AND
NON-DESTRUCTIVE
TESTS
.
55
4
QUALITY
INVESTIGATION
FOR
OVERPRESSURE
SOLDERING
PROCESS
THROUGH
DESIGN
OF
EXPERIMENTS
(DOE)
.
59
4.1
MAPPING
OF
PROCESS
VARIABLES
AND
RESPONSES
FOR
SOLDER
PROFILING
WITH
OVERPRESSURE
MODULE
.
59
4.1.1
DESCRIPTION
OF
THE
SOLDERING
MACHINE
.
59
4.1.2
DESCRIPTION
OF
THE
SOLDER
PROFILING
.
61
4.1.3
PROCESS
VARIABLES
AND
RESPONSES
.64
4.2
DESIGN
OF
EXPERIMENT
(DOE)
AND
QUALITY
ASSESSMENT
APPROACH
.
67
4.2.1
VOID
RATIO
INVESTIGATION
FOR
SOLDER
JOINTS
.
67
4.2.2
SCREENING
PROCESS
FOR
THE
MOST
INFLUENTIAL
VARIABLES
ON
VOID
FORMATION
.68
4.2.3
DEVELOPMENT
AND
CONDUCTION
OF
FULL
FACTORIAL
DESIGN
OF
EXPERIMENT
(DOE)
.
73
4.2.4
VOID
RATIO
RESULT,
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
.
75
4.2.5
SHEAR
FORCE
INVESTIGATION
OF
SOLDER
JOINTS,
STATISTICAL
ANALYSIS
AND
RESULTS
.
82
4.2.6
FURTHER
SOLDER
JOINT
DEFECTS
.
83
4.3
CONCLUSION
.
83
5
CONTROLLING
PROCEDURE
FOR
RESOURCE
CONSUMPTION
OF
SOLDERING
PROCESS
.
89
5.1
DEVELOPMENT
OF
RESOURCE
TRANSPARENCY
MODEL
FOR
SOLDERING PROCESS.
90
5.2
ANALYSIS
OF
THE
ELECTRICAL
ENERGY
CONSUMPTION
.
91
5.2.1
MEASUREMENT
OF
PRODUCTION
LEAD-TIME
FOR
SOLDERING
PROCESS
.
92
5.2.2
ANALYSIS
OF
THE
OVEN TECHNOLOGY
FOR
ELECTRICAL
ENERGY
UTILIZATION
.
93
5.2.3
ANALYSIS
OF
THE
PERIPHERY
LEVELS
FOR
RESOURCE
FLOW-RELATED
ELECTRICAL
ENERGY
CONSUMPTION
.
95
5.2.4
DEVELOPMENT
OF
THE
MODEL
AND
SIMULATION
PROCESS
TO
EVALUATE
THE
TOTAL
ELECTRICAL
ENERGY
CONSUMPTION
.96
5.3
THERMODYNAMIC
PROCESS
INVESTIGATION
OF
THE
ENERGY
EFFICIENCY
USING
EXERGY
ANALYSIS
.
101
VI
5.31
DEFINING
THE
RESOURCE
FLOW
FOR
THE
SUBSYSTEM
BOUNDARIES.
101
5.3.2
CALCULATION
OF
THE
RESOURCE
MASS
AND
EXERGY
FLOW
.
102
5.3.3
BALANCING
AND
CALCULATION
OF
THE
EXERGY
LOSS
AND
DESTRUCTION
.104
5.3.4
DEFINITION
OF
EXERGY
EFFICIENCY
INDICATORS
AND
ANALYSIS
.
106
5.3.5
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
FOR
ELECTRICAL
ENERGY
CONSUMPTION
.
107
5.3.6
STATISTICAL
ANALYSIS
AND
META-MODEL
DEVELOPMENT
FOR
EXERGY
EFFICIENCY
.
110
5.4
CALCULATION
AND
STATISTICAL
ANALYSIS
OF
THE
TOTAL
COST
FOR
SOLDERING
PROCESS
.
113
5.5
CONCLUSION
.
116
6
DEVELOPMENT
OF
MATHEMATICAL
PREDICTION
MODELS
FOR
SOLDER
PROFILES
.
119
6.1
MODELING
OF
THE
CRITERIA
USING
ARTIFICIAL
NEURAL
NETWORK
(ANN)
METHOD
.
120
6.1.1
DEVELOPMENT
OF
THE
ANN
MODELS
.
120
6.1.2
APPLICATION
AND
VERIFICATION
OF
ANN
MODELS
.
123
6.2
MODELING
OF
THE
CRITERIA
USING
RESPONSE
SURFACE
METHOD
(RSM)
AND
VERIFICATION
OF
MODELS
.
124
6.3
PREDICTION
APPLICATION
AND
COMPARISON
OF
ANN
AND
RSM
MODELS
.
126
6.4
CONCLUSION
.
128
7
MULTI-OBJECTIVE
OPTIMIZATION
OF
THE
TRADE-OFF
MODEL
USING
A
DECISION
MAKING
APPROACH
FOR
SOLDERING
PROCESS
.
131
7.1
DEVELOPMENT
OF
TRADE-OFF
MODEL
FOR
THE
BEST
SETUP
PARAMETERS
OF
EACH
CRITERION
.
132
7.2
DEVELOPMENT
OF
DECISION
MAKING
PROCESS
FOR
THE
MULTI-OBJECTIVE
SOLUTION
.
135
7.3
PREDICTION
APPLICATION
AND
EXPERIMENTAL
RESULT
VERIFICATION
FOR
THE
TRADE-OFF
MODEL
.
136
7.4
CONCLUSION
.
139
8
SUMMARY
.
143
9
ZUSAMMENFASSUNG
.
147
BIBLIOGRAPHY
.
151
REIHENUBERSICHT
.
177
VII |
any_adam_object | 1 |
any_adam_object_boolean | 1 |
author | Esfandyari, Alireza |
author_GND | (DE-588)1225487692 |
author_facet | Esfandyari, Alireza |
author_role | aut |
author_sort | Esfandyari, Alireza |
author_variant | a e ae |
building | Verbundindex |
bvnumber | BV047099022 |
classification_rvk | ZN 4125 |
classification_tum | ELT 009 ELT 230 |
collection | ebook |
ctrlnum | (OCoLC)1232511249 (DE-599)DNB1225056810 |
discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
doi_str_mv | 10.25593/978-3-96147-383-0 |
format | Thesis Book |
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genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV047099022 |
illustrated | Illustrated |
index_date | 2024-07-03T16:22:16Z |
indexdate | 2024-07-10T09:02:33Z |
institution | BVB |
institution_GND | (DE-588)1068111240 |
isbn | 9783961473823 396147382X 9783961473830 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032505454 |
oclc_num | 1232511249 |
open_access_boolean | 1 |
owner | DE-29 DE-29T DE-12 DE-83 DE-91 DE-BY-TUM |
owner_facet | DE-29 DE-29T DE-12 DE-83 DE-91 DE-BY-TUM |
physical | xviii, 175 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 566 g |
psigel | ebook |
publishDate | 2020 |
publishDateSearch | 2020 |
publishDateSort | 2020 |
publisher | FAU University Press |
record_format | marc |
series | FAU Studien aus dem Maschinenbau |
series2 | FAU Studien aus dem Maschinenbau |
spelling | Esfandyari, Alireza (DE-588)1225487692 aut Multi-objective process optimization for overpressure reflow soldering in electronics production Alireza Esfandyari Multikriterielle Prozessoptimierung beim Überdruck-Reflowlöten in der Elektronikproduktion Erlangen FAU University Press 2020 xviii, 175 Seiten Illustrationen, Diagramme 24 cm x 17 cm, 566 g txt rdacontent n rdamedia nc rdacarrier FAU Studien aus dem Maschinenbau Band 358 Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2020 Versuchsplanung (DE-588)4078859-3 gnd rswk-swf Überdruck (DE-588)4186553-4 gnd rswk-swf Qualitätssicherung (DE-588)4126457-5 gnd rswk-swf Ofenlöten (DE-588)1228004048 gnd rswk-swf Oberflächenmontage (DE-588)4248071-1 gnd rswk-swf Prozessoptimierung (DE-588)4176074-8 gnd rswk-swf Ressourceneffizienz (DE-588)1120956560 gnd rswk-swf Reflow-Löten (DE-588)4273607-9 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Mehrkriterielle Optimierung (DE-588)4610682-0 gnd rswk-swf Electrical engineering Static analysis Multi-objective optimization Production Neural network Electronics Reflow soldering Resource efficiency Electronics production Overpressure reflow soldering Void-free soldering Resource efficient production Exergy analysis Decision making optimization Artificial Neural Network (ANN) (DE-588)4113937-9 Hochschulschrift gnd-content Oberflächenmontage (DE-588)4248071-1 s Reflow-Löten (DE-588)4273607-9 s Überdruck (DE-588)4186553-4 s Ofenlöten (DE-588)1228004048 s Mehrkriterielle Optimierung (DE-588)4610682-0 s Ressourceneffizienz (DE-588)1120956560 s Prozessoptimierung (DE-588)4176074-8 s Neuronales Netz (DE-588)4226127-2 s Versuchsplanung (DE-588)4078859-3 s Qualitätssicherung (DE-588)4126457-5 s DE-604 FAU University Press ein Imprint der Universität Erlangen-Nürnberg Universitätsbibliothek (DE-588)1068111240 pbl Erscheint auch als Online-Ausgabe Multi-Objective Process Optimization for Overpressure Reflow Soldering in Electronics Production Erlangen : FAU University Press, 2020 Online-Ressource Erscheint auch als Online-Ausgabe 10.25593/978-3-96147-383-0 urn:nbn:de:bvb:29-opus4-156047 FAU Studien aus dem Maschinenbau Band 358 (DE-604)BV045445989 358 https://open.fau.de/handle/openfau/15604 Verlag kostenfrei Volltext https://doi.org/10.25593/978-3-96147-383-0 Resolving-System kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-156047 Resolving-System kostenfrei Volltext http://d-nb.info/1225123836/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032505454&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20210114 DE-101 https://d-nb.info/provenance/plan#vlb |
spellingShingle | Esfandyari, Alireza Multi-objective process optimization for overpressure reflow soldering in electronics production FAU Studien aus dem Maschinenbau Versuchsplanung (DE-588)4078859-3 gnd Überdruck (DE-588)4186553-4 gnd Qualitätssicherung (DE-588)4126457-5 gnd Ofenlöten (DE-588)1228004048 gnd Oberflächenmontage (DE-588)4248071-1 gnd Prozessoptimierung (DE-588)4176074-8 gnd Ressourceneffizienz (DE-588)1120956560 gnd Reflow-Löten (DE-588)4273607-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd |
subject_GND | (DE-588)4078859-3 (DE-588)4186553-4 (DE-588)4126457-5 (DE-588)1228004048 (DE-588)4248071-1 (DE-588)4176074-8 (DE-588)1120956560 (DE-588)4273607-9 (DE-588)4226127-2 (DE-588)4610682-0 (DE-588)4113937-9 |
title | Multi-objective process optimization for overpressure reflow soldering in electronics production |
title_alt | Multikriterielle Prozessoptimierung beim Überdruck-Reflowlöten in der Elektronikproduktion |
title_auth | Multi-objective process optimization for overpressure reflow soldering in electronics production |
title_exact_search | Multi-objective process optimization for overpressure reflow soldering in electronics production |
title_exact_search_txtP | Multi-objective process optimization for overpressure reflow soldering in electronics production |
title_full | Multi-objective process optimization for overpressure reflow soldering in electronics production Alireza Esfandyari |
title_fullStr | Multi-objective process optimization for overpressure reflow soldering in electronics production Alireza Esfandyari |
title_full_unstemmed | Multi-objective process optimization for overpressure reflow soldering in electronics production Alireza Esfandyari |
title_short | Multi-objective process optimization for overpressure reflow soldering in electronics production |
title_sort | multi objective process optimization for overpressure reflow soldering in electronics production |
topic | Versuchsplanung (DE-588)4078859-3 gnd Überdruck (DE-588)4186553-4 gnd Qualitätssicherung (DE-588)4126457-5 gnd Ofenlöten (DE-588)1228004048 gnd Oberflächenmontage (DE-588)4248071-1 gnd Prozessoptimierung (DE-588)4176074-8 gnd Ressourceneffizienz (DE-588)1120956560 gnd Reflow-Löten (DE-588)4273607-9 gnd Neuronales Netz (DE-588)4226127-2 gnd Mehrkriterielle Optimierung (DE-588)4610682-0 gnd |
topic_facet | Versuchsplanung Überdruck Qualitätssicherung Ofenlöten Oberflächenmontage Prozessoptimierung Ressourceneffizienz Reflow-Löten Neuronales Netz Mehrkriterielle Optimierung Hochschulschrift |
url | https://open.fau.de/handle/openfau/15604 https://doi.org/10.25593/978-3-96147-383-0 https://nbn-resolving.org/urn:nbn:de:bvb:29-opus4-156047 http://d-nb.info/1225123836/34 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032505454&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV045445989 |
work_keys_str_mv | AT esfandyarialireza multiobjectiveprocessoptimizationforoverpressurereflowsolderinginelectronicsproduction AT fauuniversitypresseinimprintderuniversitaterlangennurnberguniversitatsbibliothek multiobjectiveprocessoptimizationforoverpressurereflowsolderinginelectronicsproduction AT esfandyarialireza multikriterielleprozessoptimierungbeimuberdruckreflowloteninderelektronikproduktion AT fauuniversitypresseinimprintderuniversitaterlangennurnberguniversitatsbibliothek multikriterielleprozessoptimierungbeimuberdruckreflowloteninderelektronikproduktion |