Technical papers

Renault employs ESI QuikCAST to Define Standards for Quality Castings
THE CHALLENGE To define design rules for filling & feeding systems across different product lines to enhance competitiveness and achieve quality casting production. THE STORY Traditional methods in the past had…
Casting
Added Value of Process Modelling in Development of Automotive Die Casting Parts
Porosity in high performance castings can reduce mechanical properties and consequently degrade both component life and durability. Automotive Market increasingly requests High Performance Castings with high structural…
Casting Die Casting, HPDC, part design, die design, casting development loop, digital tuning, die cycling, simulation, Porosity, Workflow, Macros, Automatization, Renault, ESI
Use of a cognitive simulation model of the driver to support the Virtual Human Centred Design (V-HCD) of ADAS and automated vehicles
This paper presents a research programme jointly implemented by IFSTTAR and ESI group in order to develop an integrative simulation platform able to support the human centred design of future Advanced Driving Aid…
Virtual Systems & Controls Driver Model, Virtual Human Centred Design, Simulation, ADAS, Vehicle Automation
BIG DATA FOR THE INDUSTRIAL OPERATION PERFORMANCE
WEBINAR BIG DATA How Big Data Can help you to improve Industrial Operation Performance
  • quick validation of the initial hypothesis, using a non-scripting-required method for charting and plotting all…
    Virtual Performance Big Data
The Practical and Effective Deployment of Virtual Casting
It can be an interesting journey when a foundry moves from quite conventional process design methods to one based on virtual prototyping technology, i.e. computational or virtual casting. Specific examples are discussed…
Casting
Influence of Computational Grid and Deposit Volume on Residual Stress and Distortion Prediction Accuracy for Additive Manufacturing Modeling
Powder Bed Additive Manufacturing offers unique advantages in terms of cost, lot size and manufacturability of complex products. The energy used however leads to distortions during the process. The distortion of single…
Virtual Performance Metal additive manufacturing, Powder bed, Process modeling, Residual stress, Distortion
Integration of Machine Learning and Visualization for Effective Design Exploration
The world of CAE is experiencing continued growth in the number of variables involved in a Design of Experiments, either from combining various domains or expanding the complexity of models. Engineers are now facing…
Virtual Performance
ESI VPS multiscale performance simulation for laser structured Composite-Metal joints
An economic utilization of modern engineering materials can only be achieved through a combination of different materials depending on the local design requirements. This further leads to questions about the joinability…
Virtual Performance
Modelling Powder Bed Additive Manufacturing Defects
The qualification of powder bed fusion processes is based on lengthy and expensive experimental trial and error. If models can be applied to predict process details and determine the probability of manufacturing defects…
Virtual Performance
Design and Analysis of Composite Front Bumper Crush-can System
Composite materials provide an avenue to achieve weight savings in structural automotive components due to their low density, high structural performance, and excellent energy absorption during impact. However, many…
Virtual Performance