- Docente titolare: Massimiliano Bratti
myAriel
Risultati della ricerca: 5297
- Docente titolare: Massimiliano Bratti
- Docente titolare: Anna Moroni
- Docente titolare: Thierry Ralph Nieus
- Docente titolare: Thomas Vaccari
- Docente titolare: Fabrizia Bonacina
- Docente titolare: Riccardo Maria Cristofani
- Docente titolare: Veronica Ferrari
- Docente titolare: Lara Manganaro
- Docente titolare: Giuseppe Danilo Norata
- Docente titolare: Fabrizia Bonacina
- Docente titolare: Riccardo Maria Cristofani
- Docente titolare: Veronica Ferrari
- Docente titolare: Lara Manganaro
- Docente titolare: Maura Francolini
- Docente titolare: Angelisa Frasca
- Docente titolare: Nicoletta Landsberger
- Docente titolare: Monica Maria Grazia Diluca
- Docente titolare: Diego Scheggia

- Docente titolare: Claudia Lambrugo
- Docente titolare: Claudia Lambrugo
- Docente titolare: Alessandra Marti
- Docente titolare: Alessandra Marti
- Docente titolare: Claudia Letizia Maddalena Bianchi
The aim of the course is to give students all the possible tools to be able to evaluate the type of reactor that is best for the chemical process being studied. Process optimization and basic cost evaluation will be taken into account.
The students will undertake numerical calculations solved either manually or with computational tools, to solve practically relevant examples.
The students should be able to solve practical examples and exercises either manually or through computationally implemented scripts on the following topics:
- Ideal batch reactor
- Ideal Plug flow continuous reactor
- Ideal Continuously stirred tank reactor
- Non ideal mixing
- Non ideal heat transfer
- Advanced chemical kinetics
- Mass and energy balances on single equipment and sections of the plant.
- Docente titolare: Claudia Letizia Maddalena Bianchi
test
- Docente titolare: Daniela Meroni
- Docente titolare: Alessandro Minguzzi
- Docente titolare: Ilenia Giuseppina Rossetti
- Docente titolare: Elisabetta Vegeto
- Docente titolare: Giuseppe Danilo Norata
- Docente titolare: Giangiacomo Beretta
- Docente titolare: Luisella Verotta
This
course provides a comprehensive introduction to the principles and methods of
Design of Experiments (DOE). DOE is a powerful statistical methodology used to
systematically plan experiments, analyze data, and optimize processes across a
wide range of disciplines, including chemistry, engineering, manufacturing, and
research. Students will learn how to design experiments to efficiently identify
important factors, determine optimal settings, and build predictive models. The
course emphasizes both theoretical understanding and practical application,
with hands-on exercises and case studies using statistical software R.
- Docente titolare: Chiara Tommasi