Itt Simulation

CIMCO A/S is pleased to announce the availability of CIMCO Machine Simulation 8.07.03, is an add-on for CIMCO Edit which enables CNC machine simulation. Includes CIMCO Edit and pre-defined Haas machines for testing.

AVL List GmbH., the world's largest independent company for the development, simulation and testing of powertrain systems, their integration into the vehicle as well as new fields like ADAS/AD and Data Intelligence, announce the availability of AVL Advanced Simulation Suite 2020 R1.

The Netfabb development team is pleased to announce the availability of Netfabb Local Simulation 2021. Simulated data generated from the Autodesk’s Netfabb Local Simulation are mainly used for model training and testing, and also to calibrate the model.

This invaluable text/reference reviews the state of the art in simulation-based approaches across a wide range of different disciplines, and provides evidence of using simulation-based approaches to advance these disciplines. Highlighting the benefits that simulation can bring to any field, the volume presents case studies by the leading experts from such diverse domains as the life sciences, engineering, architecture, arts, and social sciences.

AVL is pleased to announce the new release AVL Simulation Suite 2024 R1. This release brings significant advancements in technology and productivity, addressing the needs and challenges faced nowadays by simulation engineers.

When it comes to discovering glitches inherent in complex systems—be it a railway or banking, chemical production, medical, manufacturing, or inventory control system—developing a simulation of a system can identify problems with less time, effort, and disruption than it would take to employ the original.

This book related to simulation of many physical processes, will be useful for the pure research scientists, applied mathematicians, industrial engineers, and post-graduate students. Recent numerical techniques, as well as software the most accurate and advanced in treating the physical phenomena, are applied in order to explain the investigated processes in terms of numbers.

Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models – from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.