Slide CTI show 2018 Berlin. Design your gearbox with artificial intelligence and generative design approach

1. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
An engineering design software with Artificial
Intelligence

2. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
A new platform to design
mechanical component with
artificial intelligence
An engineering design software with Artificial
Intelligence
Example with: Electric gearbox optimization
with Artificial Intelligence

3. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
DessIA: A new AI platform for engineering
The main problem: How to reduce the car
costs ?
1900
Taylor
Costs
Robotics Artificial
IntelligenceCAD
1980 2018

4. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
DessIA: A new AI platform for engineering
- Automatize the design of components
- Design and test very quickly a concept
- Search the best solution
- Define modular approach
At DessIA we think that with Artificial
Intelligence we can reduce cost:

5. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
DessIA: A new AI platform for engineering
How obtain
the best
solution ?
Generate billions
and billions
solutions and
choose the best
one
- For a gearbox: which is the best design and kinematic ?
- For a battery: which is the best cell combination ?

6. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
A new approach in 4 step: Describe, Generate, Choose and Optimize
Describe your
engineering system
with the DessIA
open-source
language
Generate all
admissible
concept
Choose the
best concepts
Detail
optimization of
concept you want
Your
specifications
DessIA: A new AI platform for engineering

7. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
How to design from the white paper to the blueprints ?
Specifications
x
x
x
x
x
x
x
x
x
x
x
Rule system
Decision tree Machine LearningGraph Theory
Object-oriented System
engineering (Python
Open-Source)
+ + +
Continuous optimization
Discrete optimization
Which is the
best 3 speed
gearbox
architecture ?
DessIA: A new AI platform for engineering
Generate all
admissible
concept
Describe your
engineering system
with the DessIA
open-source
language
Choose the
best concepts
Detail
optimization of
concept you want

8. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
DessIA: a roadmap adapted for engineering
Begin of
the CAD
1980
Toward
autonomous design
Engineering
trend
DessIA
Roadmap
Power
transmission
Generic platform to
design with AI
Battery
Generic
part
2015 2017 2018 2019 2020
Actuator Electric
motor
Hydraulic,
blueprint
Generic
architecture
First approach to
design with AI

9. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
N
S
3 speed
N
S
1 speed
Introduction _ definition of the optimization problem
How to optimize a 3 speed electric gearbox ?
- Minimize the cost
- Optimize the gearbox
efficiency
- Verify the geometric
packaging
- Verify the component
durability

10. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Architecture number 173
N
S
N
S
0 1
7
6
4
5
Graph description Kinematic view
N
S
5
1
6 47
N
S
3
Architecture number 175
Graph description Kinematic view
Analyze of the dataset
Each solution is define
with a graph and a
kinematic description

11. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Analyze of the dataset
We obtain more than 1020 solutions and keep 500 admissible
solutions
0
5
10
15
20
25
30
35
40
45
50
155 160 165 170 175 180 185 190
Estimation
of the cost
Estimation of
the efficiency
Architecture
number 175
Architecture
number 173
Architecture
number 29
Architecture
number 10
Architecture number 241
Architecture number 226
Architect
Architectur
Architecture number 241
Architecture number 226
Architec
Architectu

12. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Cluster
number 4
Cluster
number 3
Cluster
number 2
Cluster
number 1
Best
architecture
Best
architecture
Functional
cost
Intelligent analyze of the dataset
How to define some family, and which family to analyze ?
Clustering approach with machine learning

13. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Cost
estimation
Estimation of
the efficiency
Cluster
number 1
Cluster
number 2
Cluster
number 3
Architecture number
173 (best solution)
Architecture 226,
220, 265, 241, 223
Architecture
number 175
The cluster 2 propose the
best solutions
Intelligent analyze of the dataset

14. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Intelligent analyze of the dataset
Architecture number 241
Architecture number 226
Architecture number 223
Architecture number 220
Architecture number 173
Architecture number 265
Summary of solutions present in the second cluster

15. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Optimization of the CAD
Optimization of the architecture 173

16. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Optimization – detail design optimization
Combination bearing approach
Z=53
Z=43
Z=37
Z=31
Z=59
Z=48
Z=41
Z=35 Z=67
Z=55
Z=47
Z=39
Combinatory mesh approach

17. 17th CTI SYMPOSIUM in Berlin, December 2018
Pierre-Emmanuel Dumouchel, PhD Ing, DessIA
Conclusions
The method detail in this presentation with a 3 speed
gearbox allow:
- Obtain de best solution toward billions of possibilities
- Minimize the cost and efficiency of the gearbox
- Check the geometric viability
- Introduce a unique Artificial Intelligence for gearbox design
If you wonder how to put Artificial Intelligence
in your design contact us

18. Questions & Answers
Decide now – switch between sessions or stay here!