Measurements and Process Control in the Food Industry

General

• Code: 276-190803
• Semester: 8th
• Study Level: Undergraduate
• Course type: Special Background
• Teaching and exams language: Greek (English for Erasmus students)
• The course is offered to Erasmus students
• Teaching Methods (Hours/Week): Lectures (2) / Practical Exercises (1)
• ECTS Units: 4.5
• Course homepage: https://exams-geo.the.ihu.gr/course/view.php?id=204
• Instructors: Koulouris Alexandros
• Class Schedule:
  • Mon 13:00 - 16:00:

Course Contents

• Unit 1: Dynamic behavior of systems
  Basic principles. Process characteristic times. Dynamic analysis of linear systems. Laplace transforms.
• Unit 2: Measurement devices
  Transducers and their types. Sensors (flow, temperature, pH, humidity, viscosity etc.). Actuators. Analog and digital signals and analog/digital transformation.
• Unit 3: Process control
  Basic principles. Feedforward and feedback systems. Closed-loop transfer function. Closed-loop transient behavior. Loop stability. Frequency analysis. SISO and MIMO systems.
• Unit 4: Industrial process control systems
  On/Off controllers. PID controllers. PLC and SCADA systems. Advanced control systems. Examples of food processes under control.

Educational Goals

The course covers subjects related to measurement devices and process control techniques in the food process industry. The course aims to achieve the following learning outcomes for students:

• Recognition of the necessity for measurements and control of processes in industry.
• Acquisition of knowledge on industrial sensors and transducers.
• Recognition of the dynamic character of phenomena/processes and the methods for its mathematical description.
• Acquisition of knowledge for automatic process control systems and corresponding mathematical formulations aiming at the manipulation of the dynamic behavior of systems.
• Familiarization on the control systems used in industry and acquisition of practical skills on their use.

General Skills

• Analysis, interpretation and synthesis of information collected in scientific bibliography using information and communication technology.
• Understanding of the need for action in dynamic conditions.
• Comparative and multi-criteria analysis of proposed solutions.
• Working in an interdisciplinary environment.
• Autonomous work.
• Decision making.

Teaching Methods

Face to face:

• Lectures (theory and practical exercises) in the PC-lab.

Use of ICT means

• Lectures with PowerPoint slides using PC and projector.
• Notes and in electronic format.
• Posting course material and communicating with students on the Moodle online platform.
• Use of scientific software.

Teaching Organization

Students Evaluation

Evaluation methods:

• Final written exams with multiple choice, short essay questions and problem solving exercises

The evaluation criteria are presented and analyzed to the students at the beginning of the semester and are available at the course website.

Recommended Bibliography

1. Έλεγχος Διεργασιών 1η έκδοση, Νταουτίδης Π., Μαστρογεωργόπουλος Σπ., Παπαδοπούλου Σημ., Εκδόσεις Α. ΤΖΙΟΛΑ & YΙΟΙ Α.Ε. (2012),ISBN: 978-960-418-390-6 / [κωδικός Eύδοξος: 22722697].
2. Σύγχρονα Συστήματα Αυτόματου Ελέγχου 13η έκδοση (μετάφραση), Richard D. Dorf, Robert H. Bishop, Εκδόσεις Α. ΤΖΙΟΛΑ & ΥΙΟΙ Α.Ε. (2010), ISBN: 978-960-418-704-1 / [κωδικός εύδοξος: 59396181].
3. Συστήματα Αυτόματου Ελέγχου, 1η έκδοση (μετάφραση: Φ. Κοκαβέσης), Raymond T. Stefani, Bahram Shahian, Clement J. Savant, JR, Gene H. Hostetter, Εκδόσεις ΕΠΙΚΕΝΤΡΟ (2012) ISBN: 978-960-458-334-8 / [κωδικός εύδοξος: 22688051].