Unit
- Course
- Mechanical engineering
- Study-unit Code
- A002349
- Curriculum
- Costruzioni
- CFU
- 10
- Course Regulation
- Coorte 2021
- Offered
- 2021/22
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa integrata
| Code | A002350 |
|---|---|
| CFU | 5 |
| Teacher | Luca Landi |
| Teachers |
|
| Hours |
|
| Learning activities | Affine/integrativa |
| Area | Attività formative affini o integrative |
| Academic discipline | ING-IND/14 |
| Type of study-unit | Opzionale (Optional) |
| Language of instruction | italian |
| Contents | The exam consists of two main modules: elements of statistics for design and optimization tools for statistical control of design and product |
| Reference texts | stefano beretta, Affidabilità delle costruzioni meccaniche. Strumenti e metodi per l'affidabilità di un progetto, Springer, 2009 D. Montgomery " Statistical process control" McGraw Hill |
| Educational objectives | provide methods and basic notions of statistics to allow reliable calculation of products / projects |
| Prerequisites | Machine Desing subjects fondamental topics of mechanical engineering of the first laurea degree: static strength and fatigue of metallic materials |
| Teaching methods | - frontal classroom lessons for all subjects in the classroom - classroom excetitation where students will be divided into groups of three and final collegial discussion |
| Other information | see faculty reception for the Perugia office |
| Learning verification modality | oral examination For information on support services for students with disabilities and / or DSA visit the page http://www.unipg.it/disabilita-e-dsa |
| Extended program | The exam consists of two main modules: module statistics elements for design: References of statistical distributions applied to process problems and verification of the goodness of adaptation of sample data to binomial, normal, exponential and weibull distributions. ALARP e Bayesian statistic Fundamentals of inferential and descriptive statistics, hypothesis testing,. - module tools for statistical design control, product -Variance analysis and machines. -hints of conditional reliability -series and parallel reliability Extreme values |
| Code | A002351 |
|---|---|
| CFU | 5 |
| Teacher | Paolo Conti |
| Teachers |
|
| Hours |
|
| Learning activities | Affine/integrativa |
| Area | Attività formative affini o integrative |
| Academic discipline | ING-IND/15 |
| Type of study-unit | Opzionale (Optional) |
| Language of instruction | Italian |
| Contents | The course introduces formalized design techniques for new product design and robust design. Main topics are quality, tTaguchi methods, ANOM, ANOVA, signal to noise ratio concept. Some industrial examples will be explained. The course will also include some basic concepts of 3D virtual modeling. |
| Reference texts | Handouts |
| Educational objectives | The course has two scopes: 1) introduce the students to a structured design method based on robustness, rational experiment design and quality. 2) rational and efficient use of 3D modelers. |
| Prerequisites | machine design |
| Teaching methods | 40 hours of academic lectures and development of a CAD design. |
| Other information | teacher: Paolo CONTI Paolo CONTI E-mail: paolo.conti@unipg.it Tel. 0755853710 |
| Learning verification modality | Oral exam |
| Extended program | work in progress |