26 Courses
Gain the knowledge on how to collect special data from machines and rate their condition based on it.
Join the course where you will find knowledge of the control, measurement and management of machine parameters and signals.
Gain the knowledge, using modern algorithms, on how to recognize machine breakdown symptoms before they happen.
This course offers a brief introduction to continuous improvement and how improvement methods like Lean and Six Sigma are supporting companies in the automotive industry to improve their processes and guarantee quality.
Dies are essential elements on the process of making the body and the chassis of a vehicle. There is a clear need to develop a job role that designs and build dies for the automotive industry. An Automotive Engineer in Tool and Die Production and Maintenance is responsible for making precision tools (jigs, molds and dies) , special guides and holding devices, which are then used in the manufacturing process to make products. An Automotive toolmaker makes the parts used on a car assembly line. To produce a die, the Automotive toolmaker will use 2D and 3D computer aided design and manufacturing software (CAD/CAM) to design it, and will use machinery (such as lathes, presses, milling machines and grinders) to produce it. A toolmaker’s job doesn’t stop once they’ve produced the tools though; they will then monitor these tools to identify, and implement, any necessary modification or repairs.
Metrology is the science of measurement. It establishes a common understanding of units, crucial in linking human activities. There is a clear need to develop job roles covering this topic in the automotive sector.
The course will explain how to set up a functional safety policy and strategy, establish functional safety processes and create an understanding of the impact of functional safety in automotive development projects.
All parts of a vehicle need to be drawn before they are produced; and, even more, before production, these parts need to be tested to confirm they are safe. CAD/CAE Technicians have a vital role in these activities.
Advanced Driver Assistance Systems (ADAS) are an essential part of autonomous vehicles. The automation of road vehicles and road transport is in a high focus in the last decade and it will be one of the most important development area in the next years. The course gives a general overview of connected and automated driving. It presents examples for automated in-vehicle functions and also the standardized SAE classification. It shows the development steps: simulation, laboratory, proving ground and public road testing and also the homologation, which has not yet been fully standardized.
To master the upcoming change in powertrain solutions, development engineers need new knowledge and skills and different development methodologies. A strong cooperation between mechanical, electrical and chemical engineering has to be established, which requires a better mutual understanding than in past decades.
In terms of providing a wider autonomy of the vehicles the design of new systems is important to cover the communications and the connections among vehicles as well as the connections with the infrastructure. The key of autonomous vehicles is to be connected with both vehicles and infrastructure.
In terms of providing a wider autonomy of the vehicles the design of new systems is important to cover the communications and the connections among vehicles as well as the connections with the infrastructure. The key of autonomous vehicles is to be connected with both vehicles and infrastructure.
The course introduces into the field of automotive mechatronics and the boundary conditions of mechatronics product development, addressing:
The course finally presents an overview of the challenges boundary conditions and requirements in modern automotive mechatronics system development and gives an introduction of the comprehensive skills and knowledge demands for staff that is involved. In addition, the unit introduces into the Automotive Mechatronics Training Programme and supports decision makers in the selection of a proper, company-specific education programme for their workforce.
Unprecedented levels of technological change have led to a focus on robotics with robotic specialists becoming an increasingly sought after skill set across a wide range of industries. Within the Automotive Sector use of Robotics is now commonplace in relation to a wide range of shop floor processes from welding to assembly and painting.
Unprecedented levels of technological change have led to a focus on robotics with robotic specialists becoming an increasingly sought after skill set across a wide range of industries. Within the Automotive Sector use of Robotics is now commonplace in relation to a wide range of shop floor processes from welding to assembly and painting.
The last years have witnessed a fast growth in the field of self-driving vehicles, mainly backed up by advances in the area of machine learning. As vehicles become increasingly complex, it is virtually impossible for car manufacturers to model how each component of the system should behave at any given time. Technology is now at a point where machines can be configured to learn from observation, just like humans. In particular, machine learning has the power to produce vehicles with the ability to act without being explicitly programmed.
The development of vehicles’ active safety systems has reached the level when the human driver can be helped or partially substituted by control systems. With highly automated or with self-drive vehicles road safety can be largely improved in the future.
In modern cars, rubber is used for its unique elastic and damping properties. The performance of rubber components influences safety, lifetime and comfort, e.g. in tire, gasket and bushing applications. The constant improvement of this material technology is essential for the future automotive industry.
Over the years, Artificial Intelligence has been continuously promoting the production of increasingly autonomous vehicles. As self-driving cars evolve from futuristic fantasy to modern reality, the importance of artificial intelligence specialists, engineers and technicians is evident, not only to increasingly improve the features and functioning of these vehicles but also to ensure the safety of the vehicle by preventing the occurrence of failures and errors.
Today, vehicles are already equipped with a growing number of sensors, such as radar, camera, and lidar. However, as self-driving vehicles are gradually reverberating in the near future, the number of sensors is expected to increase even more. Sensor fusion collects the outputs of the different sensors and sensor types and uses the combined information to perceive the vehicles’ surrounding environment more accurately.