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Lecturer(s)
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Monka Peter Pavol, doc. Ing. Ph.D.
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Course content
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1. Model interpretation of cutting process focusing on metal and plastic materials. 2. Quantification of physical characteristics of cutting. 3. Optimal cutting parameters for basic methods of machining of metal and plastic materials (thermosetting plastics, thermoplastics, reinforced and laminated plastics). 4. Mathematical quantification of optimal tool life in non-continuous cutting. 5. Application of linear programming to optimization of cutting parameters of selected methods of machining of metallic materials and plastics (thermosetting plastics, thermoplastics, reinforced and laminated plastics). 6. Optimal cutting parameters for abrasive machining methods with orientation to linear programming. 7. Application of linear programming to solve mixing problems. 8. Cutting tools with defined and undefined geometry for machining especially plastics. 9. Analysis of unit machine times in individual machining methods. 10. Quantification of production processes, rules for a formulation of operations sequence. 11. Productivity and economy of production process. 12. Quantification of dimensional circuits, application of probability theory in their calculation. 13. Application of probability theory in the evaluation of production accuracy. 14. Calculation of dimensional circuits for complete and incomplete interchangeability, selective assembly.
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Learning activities and teaching methods
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- Preparation for course credit
- 120 hours per semester
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| prerequisite |
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| Knowledge |
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| Knowledge of engineering technology, material science, physics, chemistry and mathematics. |
| Knowledge of engineering technology, material science, physics, chemistry and mathematics. |
| learning outcomes |
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| Key concepts of production engineering: Production technology, Types of production technology classifications; Production, Production process, Production system. |
| Key concepts of production engineering: Production technology, Types of production technology classifications; Production, Production process, Production system. |
| Relationship of production engineering to other disciplines. |
| Relationship of production engineering to other disciplines. |
| Aspects of optimization of production processes in terms of productivity and economy. |
| Aspects of optimization of production processes in terms of productivity and economy. |
| Quantification of physical characteristics of cutting. |
| Quantification of physical characteristics of cutting. |
| Principles of mathematical modelling of processes in production engineering. |
| Principles of mathematical modelling of processes in production engineering. |
| Model interpretation of technological processes. |
| Model interpretation of technological processes. |
| Principles of linear programming and methodology for solving typical problems. |
| Principles of linear programming and methodology for solving typical problems. |
| Probability theory in the evaluation of production accuracy. |
| Probability theory in the evaluation of production accuracy. |
| Quantification of dimensional circuits for individual types of production. |
| Quantification of dimensional circuits for individual types of production. |
| Skills |
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| To classify and identify of individual components of the production process. |
| To classify and identify of individual components of the production process. |
| To define the relationship of production engineering to other disciplines. |
| To define the relationship of production engineering to other disciplines. |
| To perform production process calculations in terms of productivity and economy. |
| To perform production process calculations in terms of productivity and economy. |
| To quantify the physical characteristics of cutting. |
| To quantify the physical characteristics of cutting. |
| To create a logical and mathematical model of the basic elements of the production process. |
| To create a logical and mathematical model of the basic elements of the production process. |
| To perform optimization of a two-variable problem using a graphical method of linear programming. |
| To perform optimization of a two-variable problem using a graphical method of linear programming. |
| To optimize typical production engineering tasks by linear programming through spreadsheets. |
| To optimize typical production engineering tasks by linear programming through spreadsheets. |
| Ability to evaluate manufacturing accuracy based on probability theory. |
| Ability to evaluate manufacturing accuracy based on probability theory. |
| To solve the closing members of dimensional circuits. |
| To solve the closing members of dimensional circuits. |
| teaching methods |
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| Knowledge |
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| Lecturing |
| Lecturing |
| Dialogic (Discussion, conversation, brainstorming) |
| Dialogic (Discussion, conversation, brainstorming) |
| Skills |
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| Individual work of students |
| Individual work of students |
| Practice exercises |
| Practice exercises |
| assessment methods |
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| Knowledge |
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| Written examination |
| Written examination |
| Oral examination |
| Oral examination |
| Analysis of works made by the student (Technical products) |
| Analysis of works made by the student (Technical products) |
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Recommended literature
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HOFFMAN, P.J., HOPEWELL, E.S., JANES, B. Precision Machining Technology. 2nd Ed.. Clifton Park, NY: Cengange Leraning, 2015. ISBN 978-1-285-44454-3.
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Kocman, K. Technologické procesy obrábění. CERM s.r.o. Brno. ISBN 978-80-7204-722-2.
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Kocman, Karel. Aktuální příručka pro technický úsek. 14. akt. Praha : Verlag Dashöfer, 2000. ISBN 8090224725.
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Mádl, J. a kol. Technologičnost konstrukce: obrábění a montáže. Praha: ČVUT, 2005. ISBN 8001032884.
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PTÁČEK, L. a kol. Nauka o materiálu I. Brno: CERM, 2003. ISBN 80-7204-283-1.
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Stephenson, D., Agapiou, J.S. Metal cutting theory and practice. 3rd Ed.. Boca Raton: CRC Press, Taylor & Francis Group, 2016. ISBN 978-1-4665-8753-3.
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