P.èn. LAB Design Optimization, Advanced Engineering & Research
Company Profile
P.èn. LAB Design Optimization, Advanced Engineering & Research
Company Profile
Multi-disciplinary engineering and design company, p.èn.lab was founded in 2007 as a laboratory of ideas devoted to the Industrial Design and Communication. This core skills have been backed up in 2010 by the involvement in the organization of a group of engineers with strong experiences in the filed of design optimization. The synergy among this competences widened the spectrum of skills that can be transferred to the market. p.èn.lab pursues the objective to deliver solutions as a result of a continuous investment on research of on-the-edge techniques and technologies. Thus, communication and graphic design are developed with particular attention to the new media (social, viral, non-conventional marketing). While, the engineering services are carried out through the exploitation of parametric design techniques and design optimization methodologies (like applying Genetic Algorithms or Neural Networks to the design process). p.èn.lab believes in the network of excellences as an environment for serving the best solution to the market. Our goal is to make p.èn.lab as a cross-disciplinary hub of competences for creating, developing and coordinating networks of partners and to harmonize the communication stream among industries, research and development centers and universities. As a matter of fact, over the last years p.èn. lab has selected research laboratories and professionals that have been able to provide integrated competencies to the project development and it has also provided consulting activities for the identification of the proper partners. p.èn.lab is a private company. The corporate partnership is made by 5 partners. It counts 11 employees and some 5 external collaborators. The 4 business divisions are: • Advanced Engineering • Design Optimization • Industrial Design • Communication p.èn.lab helps the companies in pushing the envelope in product design. Any engineering design problem involves more than one discipline. The technical departments face this situation any time it is required to find the optimal solution of a problem. Moreover the design cycle is getting shorter and shorter for getting to the market before the competitors. This scenario is making the design process a very complex process where the tools commonly used for such task become problems themselves than being the solution. Therefore, the multi-disciplinary nature of the design optimization and advanced engineering services that p.èn.lab offers to companies is an efficient service for tackling the growing complexity in the design work flows. The strengths of Design Optimization and Advanced Engineering offerings are given by the application of advanced methodologies to the design and engineering fields. Thus, parametric design and design optimization are the key of success in the development of innovative products, designed more reliably in less time.
P.èn. LAB Design Optimization, Advanced Engineering & Research
Company Profile
Design Optimization & Advanced Engineering p.èn. lab “is a multidisciplinary lab that makes available to the companies virtual design and optimization competences and technologies”.
Optimization “We have served optimization in the form of software technologies and consultancy services to a wide range of industries”.
Competences • • • •
Numeric analysis / simulation. Parametric design. Design process automation. Optimization.
Software OPTIMIZER: Dakota, modeFRONTIER. CAD: CATIA V5, Pro/ENGINER, SolidWorks, AutoCAD. FEM: Ansys, Abaqus, Nastran, Marc. CFD: Star-CD, CFX, Fluent, StarCCM+, OPENFOAM. PREPROCESSOR: Prostar, Patran, Mentat. POSTPROCESSOR: Prostar, Patran, Mentat, ParaVIEW. STATISTICS and VISUALIZATION: R. PROGRAMMING LANGUAGES: Fortran, C, Java, Python, Matlab.
How p.èn. lab can contribute to the SPECIFIC project... In a complex and challenging project p.èn. lab can provide optimization strategies and parameterization methodologies to find optimal and reliable solutions in a multidisciplinary scenario.
Water Distribution Piping System Optimization 48 52 out of
At the end of the optimization process all velocity and pressure targets have been fulfilled.
circular section diameter (mm)
parameter ranges
Optimization start
parameter name
average diameter reduction
In grey the first 10.000 piping systems calculated during the optimization process, in red the last 10.000 piping systems evaluated by the optimization algorithm. The chart to the right shows a clear convergence of the optimization process. objective diameter
average piping diameter at initial iterations (first 10.000 analyses)
average piping diameter of the original water distribution system 508.00
average piping diameter at final iterations (last 10.000 analyses) minimum average diameter found by optimizer 414.34
parametric piping system evaluated The first 1.000 piping systems are plotted in red. As we can notice the optimization algorithm converges to a well defined value of each pipe in the system. Just for few pipes (e.g. d09, d17, d28, d36) there are two contiguous optimal diameters.
Design Parameterization A matter of choices
Train Parametric Design Exploration
Design Optimization The Choice
Š p.èn. lab - www.penlab.it
Design Process A matter of choices
MANUAL DESIGN PROCESS Non Parametric Geometry
Physic 1 Virtual Analysis
Design Goals
The combination of parametric design and design optimization makes the design process faster and more efficient. As a result, different shapes can be automatically generated in order to analyze their design performances.
Physic 2 Virtual Analysis
Design Goals
AUTOMATED MULTI-DISCIPLINARY DESIGN PROCESS OPTIMIZATION: p.èn. lab Choice
Parametric Geometry
Model Parameters
Physic 1 Virtual Analysis
Optimization Robot
The multidisciplinary optimization may deal with all the metrics involved in the design process like aerodynamics and structural, or heat dissipation and shape. The aim of a design optimization automatic procedure is to provide the optimal solution as the outcome of a systematic exploration of the design space.
Physic 2 Virtual Analysis
Design Goals
The optimization of the design process through the definition of the most significative elements of the design as input variables, objectives and constraints is itself an important achievement. Moreover, the exploration of the design space provides to the designer a set of configurations that allow a consistent decision to the designer. CAD Tools we can link in automated optimization loop: CATIA, Rhinoceros, ProEngineer…
Examples of physics that can be included in the loop: Thermo-Fluid Dynamics, Structural Loads, Fatigue analysis, Multi-body, Crash Worthiness, Molding, Forming...
We are experts in the following software tools: • • • • • • • •
CAD CATIA v5, Pro/engineer, Solidworks, Autocad, Rhinoceros. FEM Ansys, Abaqus, Code_Aster, Nastran, Marc. CFD Star-cd, CFX, Fluent, Starccm+. PREPROCESSOR Icem-cfd, Salome, Prostar, Patran, Mentat. POSTPROCESSOR Prostar, Patran, Mentat, Paraview. STATISTICS AND VISUALIZATION R. PROGRAMMING LANGUAGES Fortran, C, Java, Python, Matlab. OPTIMIZER Dakota, ModeFRONTIER.
p.èn. lab is a multidisciplinary lab that makes available to the companies virtual design and optimization competences and technologies. If you are interested in boosting your design process, ask for a training on the job for discovering the potentialities in Parametric Design and Optimization: info@penlab.it © p.èn. lab - www.penlab.it
Flow simulation of sailing yacht appendages
“The design of the boat was important, but once you’ve got it designed,the whole race is down to how the guys can use it.
evaluate first!
Database technology is useful to compare the incremental improvements in our performance from the first day of sailing to the very last day”.
evaluate first!
eva is a web tool for the performance analysis of sailing yachts. eva creates clear and complete reports in a quick and easy way.
8
1.1
6
1.0
VMG
features: • accessible from any web browser • race report • sail usage • data import from standards (Deckman, Expedition...) • secure data storage on the web • smart filtering of data • documents and media gallery
Boatspeed/SOG
7
5 0.9
4
10
15
TWS
Race 01_up1
20
0.08
Easy data sharing with: • afterguard • race crew • sailmakers • designers
8
10
12
Boatspeed
14
16
18
55
0.06 50
0.04
0.02
45
0.00 70
80
90
100
110
120
60
70
Race 02_up1
80
90
100
110
120
Race 02_up2
eva operations (only few clicks needed): 1 import data 2 review races 3 run eva 4 view report
40
TWA
60
0.08
35
0.06 30
0.04
s
0.02
25
0.00 60
WEBWARE
no installation required
www.evasailing.com
6
60
Race 01_up2
globally accessible
70
80
90
100
110
120
60
70
80
90
100
110
120
10
TWS
15
20
Process Integration design optimization
&
PIDO
is the set of automation strategies implemented to perform a batch optimization.
Optimization loop
Optimizer Optimization Parameters
Optimization Results
Optimization Post-Processing
Input file
Output file
Simulation Post-Processing
S imulation Code
PARAMETERIZATION
is the process of deciding and defining the parameters necessary for a complete or relevant specification of a model or geometric object. P6
Model parameterization
P3
P4
P5
P2 P1
MULTI OBjective Optimization
Adding more than one objective to an optimization problem adds complexity. Because the two objectives conflict, a trade-off exists. This set of trade-off designs is known as a Pareto set.
lift
S catter Chart
x.eval_id 20 40 60 80 100
drag
Single objective optimization
lift
The main goal of single-objective optimization is to find the “best� solution, which corresponds to the minimum or maximum value of a single objective function inside the range of variation of the input parameters.
x.eval_id 20 40 60 80 100 120
evaluation id
P.èn. LAB Design Optimization, Advanced Engineering & Research Company Profile
Sede legale ed operativa via del Follatoio, 12 - 34147 Trieste - tel. +39 040 8992202 - fax +39 040 8992201 - unità operativa via del Pellegrino, 16 - 50139 Firenze - fax +39 055 5609224 sede amministrativa e unità operativa Stradone Zuino Nord 97/A - 33050 Torviscosa - tel. +39 0431 929445 - fax +39 0431 926877 - info@penlab.it - www.penlab.it