This paper combines the use of two tools: Failure Mode and Effect Analysis (FMEA) and Fuzzy Logic (FL), to evaluate the functionality of a quantifier prototype of Methane gas (CH₄) and Carbon Dioxide (CO₂), developed specifically to measure the emissions generated by cattle. Unlike previously reported models for the same purpose, this device reduces damage to the integrity of the animal and does not interfere with the activities of livestock in their development medium. FMEA and FL are used to validate the device’s functionality, which involves identifying possible failure modes that represent a more significant impact on the operation and prevent the prototype from fulfilling the function for which it was created. As a result, this document presents the development of an intelligent fuzzy system type Mamdani, supported in the Fuzzy Inference System Toolbox of MatLabR2018b^®, for generating a risk priority index. A Fuzzy FMEA model was obtained to validate the prototype for measuring Methane and Carbon Dioxide emissions, which allows considering this prototype as a reliable alternative for the reliable measurement of these gases. This study was necessary as a complementary part in the validation of the design of the prototype quantifier of CH₄ and CO₂ emissions. The methods used (classic FMEA and Fuzzy FMEA) to evaluate the RPN show asymmetric graphs due to data disparity. Values in the classical method are mostly lower than the Mamdani model results due to the description of the criteria with which it is evaluated.

A series of styrene-butadiene (SB) elastomer/thermoplastic starch (TPS)/ethylene vinyl alcohol copolymer (EVOH) composites were modified including chicken feathers in its formulation, which have the main component keratin. The composites were prepared by means of melt blending, and their chemical interactions were evaluated by means of infrared spectroscopy (FTIR), and their thermal properties as Tg values were investigated using differential scanning calorimetry (DSC), thermal stability using thermogravimetric analysis (TGA), and viscoelastic properties with dynamic mechanical analysis (DMA). The styrene content in SB was changed in 3 levels, and chicken feather content also changed in 3 levels. It was identified that Tg value in composites decreases that is attributed to the styrene content in elastomer and that the chicken feather improved the storage modulus of composite. The thermal stability of composites also was affected by the presence of chicken feathers due its good thermal properties.

The aim of this research is to obtain a composite made of coconut fiber, thermoplastic starch (TPS), ethylene vinyl alcohol (EVOH), and styrene–butadiene copolymer (SBR), achieving the most significant criteria/attribute determined by users. The tools used were quality function deployment (QFD) and the theory of inventive problem solving (TRIZ). The end result indicated that the quality requirement and most representative attribute for users is the toxicity of the material. Four mixtures were made with different percentages of coconut fiber, TPS–EVOH, and SBR, subjecting them to Fourier transform infrared spectroscopy (FTIR), dynamic mechanical analysis (DMA), and thermogravimetric analysis (TGA). The material obtained complies with the requirements of the Food and Drug Administration (FDA) regarding the nontoxicity of synthetic materials (EVOH and SB) to be used in contact with food (packaging and packaging). The spectra IR of the presence of monomers such as methacrylic acid, 2-hydroxyethyl acrylate, itaconic acid, among others, was not detected due to the humidity of the material. On the other hand, the DMA graphs showed that the mixtures achieved high storage modules (from 1500 to 3000 MPa) at temperatures from −90 to −70 °C, and the TGA thermogram showed that the last material to degrade was SBR at temperatures from 400 to 500 °C.