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Scientific Research in Chemical Processing Technology of Polymeric and Composite Materials
Major: Chemical Technology and Engineering
Code of subject: 7.161.06.O.082
Credits: 6.00
Department: Chemical Technology of Plastics Processing
Lecturer: Associate Professor, Ph.D. Taras Humenetsky
Semester: 3 семестр
Mode of study: денна
Завдання: Integral competence:
The ability to solve complex specialized tasks and problems in chemical technology and engineering or in the process of learning, which involves conducting research and/or implementing innovations and is characterized by uncertainty of conditions and requirements.
General competences:
1. Ability to generate new ideas (creativity).
2. Ability to search, process and analyze information from various sources.
3. The ability to self-educate and increase the level of professional qualifications.
Professional competences:
1. The ability to research, classify and analyze indicators of the quality of chemical products, technological processes and equipment of chemical production.
2. The ability to use modern special scientific equipment and software when conducting experimental research and conducting research and development in the field of chemical technologies and engineering.
3. Ability to plan and carry out scientific research in the field of chemical engineering.
Learning outcomes: A trained specialist must:
• to know the types and methods of scientific research;
• to know the methods of special methods of studying the structure and properties of polymeric materials;
• to know what specific methods are used for experimental studies of certain types of polymer materials;
• to know the patterns of changes in strength and dynamic durability of polymer materials;
• to be able to search, process and analyze information from various sources;
• to be able to use modern methods of studying the structure and chemical and physical-mechanical properties of polymers;
• to be able to research, classify and analyze indicators of the quality of chemical products, technological processes and equipment of chemical production;
• be able to use modern special scientific equipment and software when conducting experimental studies and carrying out research and development in the field of chemical technologies and engineering;
• to be able to plan and carry out scientific research in the field of chemical engineering.
Required prior and related subjects: • Technological processes of modification and processing of polymer and composite materials;
• CAD and design of plastic products and equipment for their formation;
• Modern technological processes of processing polymer and composite materials;
• Special course on scientific research of the specialty.
Summary of the subject: The lecture material examines the issues of organization and methodology of scientific research, setting up and conducting experimental research, as well as the main elements of independent creative work and ways and means of introducing new and progressive results into the production process.
Опис: Experimental studies. Experiment classification, types, and tasks. Metrological support of the experiment. Workplace organization. Technical aspects of research. The role of standards in research. The influence of psychological factors on the quality of the experiment. Statistical processing of experimental data.
Measurements and their errors. Classification. Random values. Selection of finite values. Full sample (general population). Probability distribution. Methods of estimation of measured parameters. Average sample characteristics. Variance and correlation coefficient. Normal distribution is the law of Gaussian distribution. Student distribution. Processing of experimental data. Absolute and relative error. Interval estimation using confidence probability. Confidence probability and confidence limits. The confidence intervals of the mathematical expectation of the result for a normal normalized distribution. Confidence limits for small sample (t-test). The biggest mistake possible. Assessment of the adequacy of theoretical solutions. Adequacy determination of small samples (Fisher test). Determination of adequacy of large samples (Pearson test). Assessment of the adequacy of multiple variances with the same sample size (Cochran test). Assessment of the adequacy of multiple variances for samples of different volumes (Bartlett test). Modeling in scientific and technical creativity. Linear regression analysis. The least squares method. Multiple linear regression. Finite difference method. Convert to a linear look. Planning a chemical experiment. The essence of experiment planning theory. Passive and active experiment. Choice of factors and definition of factor space. The principle of randomization. A full factorial experiment. Model coefficients calculation. Validation of coefficients. Model adequacy check. Small replicas. Composition plans. Description of the area close to the extremum. Second-order orthogonal compositional plans. Rotatable second-order Boxer-Hunter plans. Process optimization. Optimization of engineering processes using experiment planning. Optimization of the response function. Steep ascent method (Box-Wilson method).
Assessment methods and criteria: The main methods of knowledge diagnosis are: current (PC) and semester control (SC), which is carried out from educational material, the scope of which is determined by the work program of the discipline for the semester.
Current control is carried out during lectures and laboratory classes in order to check the level of assimilation of theoretical and practical knowledge and skills of the student. PC is conducted in the form of: written and oral control and defense of laboratory work.
Semester control is conducted in the form of an exam (EC). The exam is a form of SC of the results of the student's studies in the academic discipline for the semester.
Критерії оцінювання результатів навчання: Distribution of points on a 100-point scale
Current control (PC) Together for the discipline 100
Laboratory classes - 10 points.
Control work - 30 points.
Semester control:
– Written component – 52 points;
– Oral component – 8 points.
Порядок та критерії виставляння балів та оцінок: 100-88 points ("excellent") - awarded for a high level of knowledge (some inaccuracies are allowed) of the educational material of the component contained in the main and additional recommended literary sources, the ability to analyze the phenomena being studied in their relationship and development, clearly, succinctly, logically, consistently answer the questions, the ability to apply theoretical provisions when solving practical problems;
87-71 points ("good") - a generally correct understanding of the educational material of the component, including calculations, reasoned answers to the questions, which, however, contain certain (insignificant) shortcomings, is awarded for the ability to apply theoretical provisions when solving practical tasks;
70 - 50 points ("satisfactory") - awarded for weak knowledge of the educational material of the component, inaccurate or poorly reasoned answers, with a violation of the sequence of presentation, for weak application of theoretical provisions when solving practical problems;
49-00 points ("unsatisfactory") - awarded for ignorance of a significant part of the educational material of the component, significant errors in answering questions, inability to apply theoretical provisions when solving practical problems, ignorance of the main fundamental provisions.
According to the 100-point scale of the University According to the national scale
100-88 points "Excellent"
87-71 points "Good"
70-50 points "Satisfactory"
49-00 points "Unsatisfactory"
Recommended books: 1. Левицький В.Є. Методологія досліджень властивостей полімерних матеріалів: Навчальний посібник / В.Є. Левицький, Т.В. Гуменецький. – Львів: Растр-7, 2021. 312 с.
2. Левицький В.Є. Сучасні експериментальні методи досліджень у хімії та технології полімерів: Навчальний посібник / В.Є. Левицький, Т.В. Гуменецький. – Львів: Растр-7, 2022. – 292 c.
3. Добронравова І.С., Сидоренко Л.І. Філософія та методологія науки. Київ, 2008. 260 с.
4. Основи наукових досліджень. Організація самостійної та наукової роботи студента: Навч. посібник / Я.Я.Чорненький, Н.В. Чорненька, С.Б. Рибак та ін. –К.: ВД«Професіонал», 2006. –208 с.
5. Шейко В.М., Кушнаренко Н.М. Організація та методика науково - дослідницької діяльності: Підручник. –2-ге вид., перероб. і доп. –К.: Знання-Прес, 2002. –295 с.
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