Manufacturing wooden biopolymer composites and parameter optimization with multi-criteria decision making methods

This study was carried out within the framework of the search for a solution to the problem of producing more environmentally friendly plastic composite materials. Industrial production has accelerated in the last century. People around the world have gone to the idea of producing more to increase their income. Consequently, they have established marketing tactics towards the formation of a consumer society. Demands of people whose incomes have increased have also increased. Increasing demand has led to more production. Increased production led to an increase in human income. People were not worried before this accelerating cycle. However, as the recycling of increasing industrial production becomes a problem and environmental pollution becomes a problem, in the last century, people have worried that the natural balance may be disrupted. Since environmental pollution problem is an issue that concerns the whole world, studies have been started to produce more environmentally friendly alternative materials especially for petroleum derived materials. Mixtures PLA / PHB mixture, PHB / wood flour mixture, PLA / wood flour mixture, PHB / PLA / wood flour mixture, PP / PLA mixture, PP / PLA / MAPE mixture, PP / PHB mixture, PP / PHB / MAPE mixture, PP / PLA / wood flour mixture, PP / PLA / MAPE / wood flour mixture, PP / PHB / wood flour mixture, PP / PHB / MAPE / wood flour mixture. The resulting mixtures were milled prior to pressing to granulate in the grinders. After the grinding process, the granular mixtures were placed in the bags and kept in the oven at 80 ± 2 ° C for 1 day. The mixtures taken from the oven were put into horizontal molds and pressed into a hot press and turned into 2mm thick 40x40cm plates. The obtained plates were cut and sized in the circular saw for laboratory tests. The obtained nano composites were characterized by scanning electron microscopy (SEM), thermogravimetric analysis (TGA-DTG), differential scanning calorimetry (DSC), X-ray diffraction analysis (XRD), mechanical properties and FTIR spectra. In addition, rapid aging test was performed on the test specimens to determine the outdoor strength. In this study, TOPSIS and PROMETHEE and Grey Related Analysis Methods, which are among the Multi-Criteria Decision Making (MCDM) methods, were used to select the sample with the best features. In the first part, the sample with the best features according to TOPSIS method was determined as neat PLA, then PLA+%10HT and the third PLA+10% UT. In the PROMETHEE method, the same samples were found in the first three, differently, the places of the 2nd and the 1st were changed. The samples with the worst features were determined to be Pure PHB, PHB + 10 %UT and PHB + 30 %UT. Pure PLA was determined as the best experimental result according to gray relational analysis method, followed by PLA + 30% UT.