Scientific Research in Chemical Technology of High-Molecular Compounds

Major: Chemical Technology and Engineering
Code of subject: 7.161.07.O.103
Credits: 9.00
Department: Chemical Technology of Plastics Processing
Lecturer: Associate Professor, Ph.D. Humenetsky Taras
Semester: 3 семестр
Mode of study: денна
Learning outcomes: • 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 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: 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: • Form of current control: written and oral control, performance of control work (30 %); • Form of semester control: differential credit (70 %).
Recommended books: 1. Добронравова І.С., Сидоренко Л.І. Філософія та методологія науки. Київ, 2008. 260 с. 2. 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. 3. 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.