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02NLBJM

A.A. 2024/25

Course Language

Inglese

Degree programme(s)

1st degree and Bachelor-level of the Bologna process in Ingegneria Meccanica (Mechanical Engineering) - Torino

Course structure

Teaching | Hours |
---|---|

Lezioni | 42 |

Esercitazioni in laboratorio | 18 |

Lecturers

Teacher | Status | SSD | h.Les | h.Ex | h.Lab | h.Tut | Years teaching |
---|---|---|---|---|---|---|---|

Maculotti Giacomo | Ricercatore L240/10 | IIND-04/A | 42 | 0 | 36 | 0 | 2 |

Context

SSD | CFU | Activities | Area context |
---|---|---|---|

ING-IND/16 | 6 | B - Caratterizzanti | Ingegneria meccanica |

2024/25

The course aims to provide:
- The basic concepts of probability and statistics used to manage and analyze the results of experiments.
- The ability to understand general information about the features in the field of metrology tools and measuring system.
- Knowledge concerning the elaboration and presentation of measurement and test results.
- The functional description of the main measuring instruments used in the mechanical (dimension, mass, force, strain, hardness, pressure and flow measurements).
The topics will be exposed to the principles of the major national and international standards.

The course aims to provide:
- The basic concepts of probability and statistics used to manage and analyze the results of experiments.
- The ability to understand general information about the features in the field of metrology tools and measuring system.
- Knowledge concerning the elaboration and presentation of measurement and test results.
- The functional description of the main measuring instruments used in the mechanical (dimension, mass, force, strain, hardness, pressure and flow measurements).
The topics will be exposed to the principles of the major national and international standards.

Knowledge of statistical distributions used in the field of measurement and quality.
Knowledge of the techniques of analysis of experimental data: regression hypothesis testing, ANOVA, exclusion principle.
Knowledge of the main metrological characteristics of measuring instruments: resolution, stability. repeatability, reproducibility, accuracy, the traceability chain.
Knowledge of methods for evaluation of measurement uncertainty in accordance with national and international.
Knowledge of major national and international standards in the field of metrology.
Knowledge of the main operating principle of measuring instruments used in mechanics.
Ability to set measurement activities by choosing the appropriate measuring instruments.
Ability to perform the calibration of measuring instruments.
Ability to detect systematic errors in the measurements.
Ability to present the results of measurements and tests as specified in international standards.
Ability to analysis of experimental results using statistical techniques (regression, ANOVA).

Knowledge of statistical distributions used in the field of measurement and quality.
Knowledge of the techniques of analysis of experimental data: regression, hypothesis testing, ANOVA, exclusion principles.
Knowledge of the main metrological characteristics of measuring instruments: resolution, stability, repeatability, reproducibility, accuracy, the traceability chain.
Knowledge of methods for evaluation of measurement uncertainty in accordance with national and international standards.
Knowledge of major national and international standards in the field of metrology.
Knowledge of the main operating principle of measuring instruments used in mechanics.
Ability to set measurement activities by choosing the appropriate measuring instruments.
Ability to perform the calibration of measuring instruments.
Ability to detect systematic errors in the measurements.
Ability to present the results of measurements and tests as specified in international standards.
Ability to analysis of experimental results using statistical techniques (regression, ANOVA).

Concepts of Mathematics (calculation of derivatives), Concepts of Physics (knowledge of the main physical properties, units, etc.), and good practice in use of spreadsheets.

Concepts of Mathematics (calculation of derivatives, etc.), Concepts of Physics (knowledge of the main physical properties, units, etc.), and good practice in use of spreadsheets.

- INFORMATION CONTAINED IN MEASUREMENT RESULTS
Guidelines on conformance with tolerances, management of measurement and test activities according to quality rules
- QUALITY MANAGEMENT OF MEASUREMENT AND TESTING
Main principles of ISO 9001:2008 and ISO/IEC 17025:2005, dissemination of the International System of Units (SI)
- CHARACTERISTICS OF MEASURING INSTRUMENTS
Resolution, stability, repeatability, reproducibility, bias, uncertainty, random errors, systematic errors and measurement accidents
- NOTES ON PROBABILITY
The classic and frequentist concepts of probability, combinatorial analysis, compound and conditional probabilities
- NOTES ON STATISTICS
Statistical distributions and relevant parameters, discrete distributions (binomial, hypergeometric and Poisson distributions), continuous distributions (normal, Student, Pearson and Fisher distributions)
- STATISTICAL MANAGEMENT OF EXPERIMENTAL DATA
Description of experimental data, exclusion principles, frequency distributions, test of the χ² and Normal Probability Plot (NPP)
- THE LINEAR REGRESSION
Least squares method, evaluation of the model goodness
- IDENTIFICATION OF SYSTEMATIC FACTORS
The use of hypothesis tests, introduction to the analysis of variance (ANOVA)
- UNCERTAINTY OF TYPE B
Evaluation of some uncertainty causes, the equivalent variance (uniform, arcsine and triangular distributions)
- THE COMBINED UNCERTAINTY
Composition of the uncertainty contributions, the table of the uncertainty budget
- THE EXPANDED UNCERTAINTY
The evaluation of degrees of freedom, practical applications and PUMA method
- ELEMENTS OF MECHANICAL MEASUREMENTS
The length measurements (temperature and force effects, interactions between measurement surfaces and measurand), the mass measurements (effects of air density and gravity acceleration), the pressure measurements (basic concepts and devices based on weight force).

INFORMATION CONTAINED IN MEASUREMENT RESULTS
Guidelines on conformance with tolerances, management of measurement and test activities according to quality rules.
QUALITY MANAGEMENT OF MEASUREMENT AND TESTING
Main principles of ISO 9001:2015 and ISO/IEC 17025:2017, dissemination of the International System of Units (SI).
CHARACTERISTICS OF MEASURING INSTRUMENTS
Resolution, stability, repeatability, reproducibility, bias, uncertainty, random errors, systematic errors and measurement accidents.
NOTES ON PROBABILITY
The classic and frequentist concepts of probability, combinatorial analysis, compound and conditional probabilities.
NOTES ON STATISTICS
Statistical distributions and relevant parameters, discrete distributions (binomial, hypergeometric and Poisson distributions), continuous distributions (normal, Student, Pearson and Fisher distributions), confidence intervals, risk of error (first and second kind).
STATISTICAL MANAGEMENT OF EXPERIMENTAL DATA
Description of experimental data, exclusion principles, frequency distributions, test of the χ² and Normal Probability Plot (NPP).
THE LINEAR REGRESSION
Least squares method, evaluation of the model goodness.
IDENTIFICATION OF SYSTEMATIC FACTORS
The use of hypothesis tests, introduction to the analysis of variance (ANOVA).
UNCERTAINTY OF TYPE B
Evaluation of some uncertainty causes, the equivalent variance (uniform, arcsine and triangular distributions).
THE COMBINED UNCERTAINTY
Composition of the uncertainty contributions, the table of the uncertainty budget.
THE EXPANDED UNCERTAINTY
The evaluation of degrees of freedom, practical applications and PUMA method.
ELEMENTS OF MECHANICAL MEASUREMENTS
The length measurements (temperature and force effects, interactions between measurement surfaces and measurand), the mass measurements (effects of air density and gravity acceleration), the pressure measurements (basic concepts and devices based on weight force), the hardness measurements (test methods and related issues).

The theoretical lessons on "Applications of Probability and Statistics", "Analysis of experimental data" and "Evaluation of measurement uncertainty" are followed by practical lessons in which the presented concepts are directly applied by the students to real problems.

The theoretical lessons on "Applications of Probability and Statistics", "Analysis of experimental data" and "Evaluation of measurement uncertainty" are followed by practical lessons in which the presented concepts are directly applied by the students to real problems.

The reference textbook for the parts on "Applications of Probability and Statistics", "Analysis of experimental data" and "Evaluation of measurement uncertainty" is:
G. Barbato, A. Germak, G. Genta, "Measurements for Decision Making", Società Editrice Esculapio, Bologna, 2013.
For the part on "Elements of mechanical measurements", some slides will be distributed to the students.

The reference textbook for the parts on "Applications of Probability and Statistics", "Analysis of experimental data" and "Evaluation of measurement uncertainty" is:
G. Barbato, A. Germak, G. Genta, "Measurements for Decision Making", Società Editrice Esculapio, Bologna, 2013.
For the part on "Elements of mechanical measurements", some slides will be distributed to the students.

Slides; Esercizi; Esercitazioni di laboratorio; Strumenti di auto-valutazione;

Lecture slides; Exercises; Lab exercises; Self-assessment tools;

...
The exam consists of a written test subdivided into four parts: "Applications of Probability and Statistics", "Analysis of experimental data", "Evaluation of measurement uncertainty" and "Elements of mechanical measurements".
For the first three parts, the students have to solve exercises similar to those carried out during the practical lessons. Instead, the part on "Elements of mechanical measurements" consists of a series of multiple choice questions (true/false): correct answers give points, while incorrect answers take away points.
The time available for the exam is, indicatively, 2.5 hours.
The exam, usually, takes place at LAIB and it is required to the students to use the PC assigned to them to carry out the examination. During the examination the students have available some files of the practical lessons carried out during the course, from which they can copy the calculation schemes. During the examination, it can be used the reference textbook of the course, but not notes or other material of any kind.
The examination results will be published on "Portale della Didattica", in the section "Materiale", and after a day these will be officially registered and no longer modifiable.

Gli studenti e le studentesse con disabilità o con Disturbi Specifici di Apprendimento (DSA), oltre alla segnalazione tramite procedura informatizzata, sono invitati a comunicare anche direttamente al/la docente titolare dell'insegnamento, con un preavviso non inferiore ad una settimana dall'avvio della sessione d'esame, gli strumenti compensativi concordati con l'Unità Special Needs, al fine di permettere al/la docente la declinazione più idonea in riferimento alla specifica tipologia di esame.

The exam consists of a written computer lab-based test using the Esami platform.
The test is subdivided into four parts: "Applications of Probability and Statistics" (8 points), "Analysis of experimental data" (8 points), "Evaluation of measurement uncertainty" (12 points) and "Elements of mechanical measurements" (5 points).
Overall score ranges up to 33 points. The minimum passing grade of 18 out of 30 is assigned with 18 points out of 33. Maximum grade is 30 cum laude, assigned with a score larger than 30.5 points out of 33.
For the first three parts ("Applications of Probability and Statistics", "Analysis of experimental data", "Evaluation of measurement uncertainty"), the students have to solve exercises similar to those carried out during the practical lessons. Instead, the part on "Elements of mechanical measurements" consists of a series of multiple-choice questions (true/false).
The time available for the exam is, indicatively, 2 hours.
During the examination, the students have available some files of the practical lessons carried out during the course, further, it can be used the reference textbook of the course, but not notes or other material of any kind.

In addition to the message sent by the online system, students with disabilities or Specific Learning Disorders (SLD) are invited to directly inform the professor in charge of the course about the special arrangements for the exam that have been agreed with the Special Needs Unit. The professor has to be informed at least one week before the beginning of the examination session in order to provide students with the most suitable arrangements for each specific type of exam.