This webinar explores the possibilities of the use of modeFRONTIER and DEP MeshWorks to accelerate the design process in the biomedical field. Medical devices community needs to adopt faster go-to-market strategies to go from conceptual design to market deployment. Virtual engineering and virtual testing become one of the key factors that enable this speed of development. Engineering simulation enables design, development, and analysis of these complex medical devices with great accuracy. Mathematical techniques such as numerical optimization and machine learning further enhance the design process by allowing the identification of robust and optimal solutions in a short time. ESTECO North America and Detroit Engineered Products (DEP), specialized in model parameterization, explain the value of optimization and response surface modeling in simulation-based medical device development.

Using modeFRONTIER coupled with Rocky DEM to design a better deflector while saving up to 130 hours of computational time The Arvedi Group turned to the University of Trieste to find a solution to the uneven material distribution inside the hopper of the blast furnace in Trieste, Italy. The Mechanical Engineering Department investigated the problem and used modeFRONTIER to optimize the design of a new deflector ensuring a better distribution of the materials. Exploiting the ESTECO integration and process automation technology they coupled modeFRONTIER with Rocky DEM software to accelerate the simulation process of the material distribution. Using the proprietary algorithms available in modeFRONTIER, they were also able to find the optimal design for a new deflector. ## Challenge The project concerned the charging process of coke coal and iron ore inside the hopper. The different materials formed piles and pitches, leading to a lower performance of the plant. The uneven material distribution inside the hopper caused variations in the temperature profile, gas flow, and gas composition. To solve this problem modeFRONTIER was coupled with Rocky DEM to get a better understanding of materials behavior and optimize the design of the deflector. The integration with modeFRONTIER also allowed to meet the time constraints, reducing the computational time for each simulation. ## Solution This project was developed in two phases. The first phase concerned the calibration of Rocky DEM parameters and the simulation of hopper charge. The second phase consisted in optimizing the geometry of a new deflector for the charging process.For the calibration process, they used the parameters of Discrete Element Method as inputs in modeFRONTIER, such as particle- particle static friction and rolling resistance. The repose angle of simulated material was used as output. For the device optimization, a sensitivity analysis with Uniform Latin Hypercube allowed to run 90 designs and identify the most important design variables. Engineers then optimized three different geometries, taking these geometrical variables as inputs. The outputs were based on the material distribution, calculated by virtually splitting the hopper into 12 sectors and performing statistical analysis on the particles found in each. These values were used to define the two objectives and the constraints of the optimization. They used the ESTECO proprietary pilOPT algorithm to run the three optimization studies. Thanks to the autonomous mode they could evaluate more than 1000 designs in just a few weeks, without having to set any parameters and with remarkable benefits in terms of time. Benefits Thanks to a user-friendly graphical user interface, modeFRONTIER helped automate the simulation process. Without modeFRONTIER, engineers would have had to manually change the geometry of the deflector for every simulation, with significant waste of time. With modeFRONTIER they were able to save up to 130 hours of computational time. Finally, by automating the process, design engineers could launch the optimization and avoid the painstaking process of manually combining the output from multiple applications.

Manage all the logical steps in your engineering process from a single automated simulation workflow, also executable via a web interface with modeFRONTIER.

Whether you need to start understanding your engineering problem or you work under strict timelines, you can embrace our AI-based Autonomous Optimization approach and focus on the improvement you want to reach without any setting required.

IVECO relies on ESTECO technology to innovate its simulation-driven product development process. IVECO engineers combine the use of CAD and CAE solvers within modeFRONTIER workflow to automatically execute parametric simulations across a wide spectrum of disciplines: structural calculation (crash, durability, strength), fluid dynamics, NVH (Noise, Vibration, Harshness) and vehicle dynamics. On top of the automated simulation process, they apply optimization algorithms to achieve better vehicle designs with increased performance at reduced production costs. ## Challenge The IVECO S-WAY is a complete transport solution which provides excellent life on board conditions to drivers. With a brand-new cab designed to enhance aerodynamic performance and increase fuel efficiency, engineers at IVECO had to completely rethink the suspension system to improve the comfort standard level. In fact, one of the main challenges of the project was to evaluate the cab comfort before the construction of any prototype. Consequently, they made use of multi-body simulation and optimization techniques to verify the overall behavior of the cab by defining the correct set of stiffness and damping parameters for the suspension elastic components. Solution A 3D truck model was generated in MSC Adams/Car to simulate the behavior of mechanical components (cab body, suspension, actuator, tractor and trailer frame) on different proving grounds as pave, patched asphalt and speed bump. The simulation model was directly integrated in modeFRONTIER workflow to automatically tune the suspension properties, with the aim of optimizing output parameters related to vibration, cab movements and comfort. An initial Design of Experiments (DOE) analysis allowed to identify the correlation between design variables and system responses, with the aim of simplifying the multi-body simulation model to be further validated in the optimization process. Finally, the MOGA-II algorithm, available in modeFRONTIER, enabled engineers to pick the right designs with minimized cab vibration on different paths. Benefits “We took advantage of modeFRONTIER software solution to automatically execute a huge number of simulations and evaluate thousands suspension system designs within few weeks. The Parallel Coordinate Chart enabled us to easily plot several variables and visualize the distribution of the designs in an effective manner. The optimization process led us to achieve up to 10% reduction in cab vibration compared to the baseline. Moreover, the results achieved with modeFRONTIER allowed us to identify specific properties of dampers, springs and bushes that have been considered during the prototype phase of the IVECO S-WAY truck development” said Andrea Morello, Performance Engineer and CAE Senior Analyst, IVECO - CNH Industrial.

In today’s Industry 4.0-driven market, companies strive to offer the most competitive and valuable solutions while being efficient and reducing costs. Unlocking the advantages of digital transformation is key to face these challenges. Through production process optimization, manufacturers can improve their decision making process to enhance efficiency and quality, while reducing costs and uncertainty. As a case study, this white paper illustrates how out ESTECO technology helped optimize a computer assembly line by: increasing profitability, total throughput and same-day shipment, minimizing work-in-progress, subject to a maximum allowed limit on staff utilization.

This webinar explains how modeFRONTIER was used to drive CONVERGE in the optimization of a Urea/SCR flapper-type mixer. Meeting NOx (NO + NO2) emissions regulations with aftertreatment system designs that are both effective and economical is critical to successful product performance. The favored approach to satisfying NOx emissions regulations in heavy- and light-duty diesel vehicles is to use a Selective Catalytic Reduction (SCR) device where ammonia catalyzes to reduce NOx. Current industry trends are moving to more compact integrated Urea/SCR systems, which increases the need for an optimum mixer design that may be difficult to achieve with traditional design approaches. ESTECO and Convergent Science during the webinar demonstrate how combining fast and accurate CFD simulation with effective multi-objective optimization of the geometry has the potential to substantially improve the mixer designs and produce high levels of NOx reduction without a substantial backpressure penalty.

This webinar presents the latest features of VOLTA and modeFRONTIER coming with 2019R1. This includes Autonomous Optimization mode, advanced collaborative data intelligence capabilities, new RSM tool and machine learning algorithms. VOLTA platform simplifies the simulation process, enabling teams to concurrently compare, validate and collaboratively decide on design solutions with advanced data intelligence tools. Also, its process automation and optimization driven design technology allows to automate every sort of simulation process, integrate with any solvers, run intelligent algorithms, as well in autonomous mode, and pick the right design. Watch it now to learn more how VOLTA and modeFRONTIER 2019R1 capabilities make the work of engineering design smooth as never before.

Evangelia Despoina Giouri, MSc graduated from the Faculty of Architecture and the Built Environment of Delft University of Technology, used modeFRONTIER to assess the energy performance and thermal comfort towards zero energy high-rise buildings. ## Challenge Currently, 40% of the European Union’s final energy consumption and 36% of greenhouse gas emissions are attributed to buildings. New strategies to design nearly Zero Energy Buildings (nZEBs) are essential to meet climate targets set by the European Energy Performance of Building directive. This research applies process automation and optimization technologies to develop a new integrated simulation methodology to design nZEBs in a Mediterranean climate. This concept has been applied to a high-rise office building featuring photovoltaic panels integrated into the facade walls, located in the hot-dry climate of Athens, Greece. ## Solution The goal is to define which construction parameters have the highest impact on annual energy demand and thermal comfort in the building. The simulation process was created in modeFRONTIER workflow coupling Rhino/Grasshopper modeling environment and EnergyPlus software to simulate energy consumption and daylight illuminance levels. Two optimization runs have been executed to investigate the influence of building parameters that can have a contradictory impact on cooling, lighting, heating energy loads, and four different facade orientations. ## Benefits The genetic algorithm NSGA-II allowed performing 1000 evaluations in order to find the trade-off solutions for several design issues affecting energy performance and thermal comfort levels. “We were able to achieve 33% reduction on annual building’s energy consumption (from 109.12 kWh/m2 to 73.13 kWh/m2) compared to standard data provided by the current Greek legislation. Moreover, modeFRONTIER engineering and data intelligence capabilities enable us to visualize optimization trends and perform sensitivity analysis to assess the impact of the various facade parameters on the energy use and adaptive thermal comfort performance of the building” said Evangelia Despoina Giouri, MSc graduated from the Faculty of Architecture and the Built Environment of Delft University of Technology.

Takenaka Corporation offers comprehensive services worldwide across the entire spectrum of space creation from site location and planning to design and construction as well as building maintenance. Recently, structural engineers and computational architects at Takenaka Corporation Technical Research Institute have started to apply an optimization-driven design approach in their architectural and engineering projects with the aim of exploring and obtaining innovative design solutions in a shorter time. They chose modeFRONTIER software to optimize the 3D model of a new complex-shaped office building in Osaka, Japan. ## Challenge Responding to a request of a client - a steel manufacturer - asking for a new office building featuring their fabrication technologies, Takenaka Corporation designed a steel pavilion-like office building which also facilitates and accelerates the communication between employees. Several requirements were considered to perform parametric studies on 3D building models: from maximizing the connections between rooms and expanding office space to designing a stunning atrium. Facing these challenges by manually conducting simulations is quite time-consuming, leading to delays in project schedules. Architects at Takenaka Corporation look at multi-objective optimization as an effective methodology to quickly generate creative and innovative designs while meeting client’s expectations ## Solution The shape of the building was generated through the 3D Voronoi component available in Rhino3D/Grasshopper. The 3D geometry was integrated in modeFRONTIER workflow to automatically adjust the Voronoi parameters and slab levels, with the aim of optimizing conflicting outputs of the model (area of rooms, floor heights, connection between rooms, angle of surfaces) while also considering required room area and floor height as constraints. After performing an initial Design of Experiments (DOE) to assess the correlation between slab levels and other parameters, the optimization process was guided by the pilOPT algorithm available in modeFRONTIER to maximize the connection between rooms, minimize the sharp angle surfaces of office area and maximize the sharp angle surface of the hall. ## Benefits “With modeFRONTIER, we run and evaluate 3000 designs in just one day instead of losing weeks doing it manually. Moreover, the easy to use interface and data analysis & visualization tools enabled our designers to process the results faster and select their favorite designs for further studies. Finally, we look forward to demonstrating the potential of combining modeFRONTIER workflow with BRAIN, our in-house structural design software that we use in most of our projects” said Takuma Kawakami, Structural Engineer and Computational Architect at Takenaka Corporation.