60
4 Dimensioning Droplet Microfluidic Networks
Table 4.1 Case studies
Scenario
Method
# Violations of
Objective 1
# Violations of
Objective 2
Time [ms]
Microfluidic network B1 with 8 modules, 3 sorters, 35 channels
Random
Validation
5
3
49
Equal
Validation
5
0
50
Designer (spent 3 min)
Validation,
2×
0
0
55
Automatic
Dimensioning 0
0
80
Microfluidic network B2 with 10 modules, 8 sorters, 67 channels
Random
Validation
4
3
76
Equal
Validation
4
0
48
Designer (spent 10 min)
Validation,
7×
0
0
81
Automatic
Dimensioning 0
0
128
Microfluidic network B3 with 12 modules, 10 sorters, 82 channels
Random
Validation
5
5
64
Equal
Validation
5
0
62
Designer (spent 12 min)
Validation,
14×
0
0
73
Automatic
Dimensioning 0
0
305
Microfluidic network B4 with 15 modules, 12 sorters, 101 channels
Random
Validation
6
11
59
Equal
Validation
7
3
68
Designer (spent 30 min)
Validation,
16×
1
0
74
Automatic
Dimensioning 0
0
329
Microfluidic network B5 with 17 modules, 15 sorters, 118 channels
Random
Validation
5
6
70
Equal
Validation
7
2
74
Designer (spent 9 min)
Validation,
6×
0
0
82
Automatic
Dimensioning 0
0
659
Scenario: evaluated scenario
Method: the applied method where “Validation” represents the method of Sect. 4.2 and “Dimensioning” represents the automatic dimensioning method of Sect. 4.3
#Violations of Objective 1: number of violations where droplets flow in the opposite direction
#Violations of Objective 2: number of violations where droplets are too slow
Time [ms]: required run-time in milliseconds