Unit
- Course
- Mechanical engineering
- Study-unit Code
- 70025309
- Curriculum
- Costruzioni
- Teacher
- Filippo Cianetti
- Teachers
-
- Filippo Cianetti
- Hours
- 88 ore - Filippo Cianetti
- CFU
- 11
- Course Regulation
- Coorte 2024
- Offered
- 2025/26
- Learning activities
- Caratterizzante
- Area
- Ingegneria meccanica
- Academic discipline
- ING-IND/14
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- Italian
- Contents
- The course “Progettazione in campo dinamico” aims to deepen and apply the theoretical tools of system dynamics, acquired during the studies, to the design of machine elements operating in dynamic range and subjected to fatigue design, object of the course "Machine Design" by extending the study to dynamic behavior in time and frequency domain.
- Reference texts
- Lecture notes of “Progettazione e Costruzione di Macchine” (Prof. Braccesi)
Shigley J.E., Mischke C.R., “Mechanical Engineering Design”, Ed. McGraw-Hill, Inc.
Collins J.A., “Failure of Materials In Mechanical Design”, John Wiley & Sons
S. Timoshenko, “Vibration Problems in Engineering”, John Wiley & Sons Inc., March 1990
Dahlberg T., Ekberg A., ”Failure Fracture Fatigue: An Introduction”, Studentlitteratur, Lund
Matlab and ANSYS manuals - Educational objectives
- The student will acquire the capacity to apply the theoretical tools acquired during "Progettazione Meccanica Avanzata" to design dynamic machine elements and to gain insight into the fatigue design issues that are the subject of "Costruzione di Macchine" extending the study to dynamic behavior in the domains of time and of frequency.
- Prerequisites
- To understand and be able to apply most of the techniques described in the teaching, preliminary knowledge of "Progettazione Meccanica Avanzata"is required.
- Teaching methods
- The module is organized in:
• classroom lectures during which the topics covered in the course are addressed.
• in parallel, classroom exercises will be carried out using MATLAB numerical language and ANSYS FEM code
All the teaching material used during the course is available through the Unistudium platform. - Other information
- Further information is available through the Unistudium page of the course. The teacher is available for consultations at the end of each lesson; consultations with the teacher in person or through the Microsoft Teams platform can also be arranged at other times.
- Learning verification modality
- The exam for the course “Progettazione in campo dinamico” consists of two parts:
• a project work to be delivered/sent one week before the exam.
• an oral exam.
The project work is aimed at verifying the ability to apply the methodologies acquired in class.
The oral exam is aimed at verifying the knowledge of all the topics covered. - Extended program
- Signal analysis. Random processes and power spectral density (PSD). Theoretical definitions.
Dynamic analysis. Modeling and dynamic simulation in the state space form: systems with one, two and n degrees of freedom (quarter car), state space modeling of systems modeled with modal approach. Integration of the theory of structural dynamics to the application of base motion. Dynamic analysis in frequency domain with PSD systems MiMo approach. Techniques to obtain responses expressed in terms of PSD from inputs always expressed in terms of PSD and from the frequency response functions array of the system.
FEM modeling and simulation. Structure of a generic finite element code, types of structural elements and analysis. Development of a finite element model, static analysis, modal analysis, construction of its representation in state space form, frequency analysis (frequency response and spectrum analysis) and transient analysis in MATLAB and ANSYS.
Load spectra. Definition of load spectrum. Methods of cycles counting in time domain. Reconstruction of load spectra from PSD functions in frequency domain. Dirlik formula. Evaluation of equivalent load spectra. - Obiettivi Agenda 2030 per lo sviluppo sostenibile
- • Goal 4: Quality education
• Goal 9: Industry, innovation and infrastructure