California State University, Northridge at 18111 Nordhoff Street, Northridge, CA 91330 / Phone: 818-677-6229 / © 2018 CSU Northridge

Virtual Commissioning

This process, known as virtual Commissioning uses 3D technology to create a simulation model of a factory floor process so that changes and upgrades can be tested before they are implemented into actual plant systems using a real controller. By simulating and validating your automation equipment virtually, we can confirm that all equipments will work as expected-significantly reducing system installation cost and startup time. This approach can also lead to better software quality and increased safety. If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Research Summary
Automation Robotics Industrial Networks & Communications Pneumatics & Hydraulics Artificial Intelligence Simulation and Modeling
1 1 1
2 2 2
3 3 3
4 4 4
Automation and Robotic Laboratory (JD1115)

Khashayar “Kash” Behdinan

California State University
Terms and Conditions for Use
Emergency Information

Factory Flow Simulation

Engineers can design factory layouts, as they define, simulate, and analyze multiple production scenarios, in a realistic 3D environment. If process planning data is not available, they can start from scratch, positioning resources and designing material flows. They can define production equipment, line behavior and material flow logic. If resource programming has been done, robot and NC machine programs as well as human tasks are natively integrated into the model and can be simulated This research includes:
If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Modeling and simulation at multiple levels of detail
Working with multiple attributes, engineers can tweak a large range of values and run 3D simulations to arrive at an effective flow. They can assign a worker to a transfer point, for example, and adjust worker speed and transfer time to accord with the weight of the product. They can adjust conveyor speed to the timing requirements of a robot or an NC machine.
Speedy process evaluation
Rapid equipment feasibility and performance studies.
Measurements and Mechatronics Laboratory (JD1616)

Modeling & optimizing electric drive systems

Modeling research to covers electric machines with associated controllers, e.g. field-oriented control and inverters with corresponding modulation methods, e.g. space-vector modulation The research includes : • Speed/torque controller design of electrified powertrains • Analysis of different powertrain configurations • Controller development and design • Loss estimation of inverters and electric machines for thermal simulations • Voltage and current ripple effect studies • Integrated vehicle models enabling energy consumption simulations for electric vehicles •Generating parameters for table-based models from physical models If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Data Analysis and Decision Making Instrumentation Signal Conditioners Data Acquisition Autoamtic Control Artificial Intelligence
1 1 1
2 2 2
3 3 3
4 4 4
5 5 5
6 6 6
Research Areas
William F. MacDonald Computer Aided Design Graphics Laboratory (JD 1126)
Research Areas
Computer Aided Design Computer Aided Manufacturing Advanced Manufacturing Process Additive Manufacturing
1 1 1
2 2 2
3 3 3
4 4 4
Operation Systems and Management Department
Data Analysis and Decision Making Project Management Supply Chain Management Operation Management
1 1 1
2 2 2
3 3 3
4 4 4
Generative Design Optimized for 3D Printing
If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Integrated applications for additive manufacturing
Materials research for additive process
Multiphysics simulation-based optimization and predictive analytics
Print to Perform to focuses on the core theme of Virtual Printing
The research includes :
Micro-structure predictions, as-built material properties, and residual stresses calculations
Research Areas
Research Areas
5 5 5
6 6 6
The Digital Twin of Ventilators Project will implement the following:

Objective1:

Study the means by which real Ventilators are developed as well as their related control programs and test them before being constructed . This is done by complete literature review of similar practices and examine lessons learned.

Objective2:

Analyze debugging and correction efforts to significantly reduced implementing and running the real Ventilators.

Objective 3:

develop a Pilot Project to study, analyze and determine the behavior of human lung and modeling of Ventilator by using a digital twin platform. If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Digital Twin of Ventilator Using Simulation Environment
The Digital Twin of Ventilators Project will implement the following:

Objective1:

In this Research you will help design, manufacture, and program an autonomous prototype robot that will be used to help pateints and First responders . If you are interested to join this research please send an email to : khashayar.behdinan@csun.edu
Autonmous Robot to help First responders