Manufacturing technologies
Knowledge of the basic and advanced methodologies for the industrialization of the products, with particular reference to integrated manufacturing systems that allow companies to create innovative and quality products, in shorter times and at competitive costs.
At the end of the course, student will be able to:
- Forecast the optimal automation level as a function of specific production systems
- Set-up an integrated production system considering the economical aspects and involving also simulation techniques
- Understand the machine tools and robot programming methods (e.g. ISO programming)
- Know the main types of automation in production systems used in production, handling, transport and storage
The course contributes to the educational objectives of the master's degree course in "Management Engineering" in relation to the technological-industrial area, with particular reference to the problems solving in the field of manufacturing and automation.
1. Introduction to integrated production systems, CIM and Industry 4.0
a. rigid, programmable and flexible automation
b. plc and discrete automation
c. material transport and storage systems
d. automated identification and data capture
2. CNC machines
a. Main characteristics
b. Position and speed transducers
c. Adaptive control (e.g. systems for measuring and compensating for thermal drift, elastic deformations and vibrations)
d. Automatic programming of processing and CNC programming
3. Industrial robots & Material Handling
a. Characteristics and structure
b. Applications
c. Integration with the environment
4. Non-conventional process
a. Electrical Discharge Machining
b. WaterJet - Abrasive WaterJet
c. Laser
d. Micromanufacturing and ultraprecise processes
5. Additive Manufacturing
a. Characteristics
b. CAD integration
c. Technical and economical aspects
6. Computer Aided Manufacturing & Computer aided engineering
a. Process and product simulation (software, algorithms)
b. CAM
7. Digital Twin
8. Dimensional and morphological qualification of the products and quality aspects
a. Advanced Quality controls (machine vision, image analysis)
b. Measuring machines (CMM, optical and digital microscopes)
c. Reverse engineering (laser 3D scanning)
9. Artificial Intelligence
a. Artificial intelligence-Machine Learning-Deep Learning
b. Simulation and forecast methodology
Frontal lectures, Simulation exercises, Laboratory demonstrations
The final exam consists of a compulsory written test.
In addition, attending students can develop an optional assignment that will contribute to the final grade with an additional score.