POTENTIAL OF RICE STRAW AS A NATURAL FIBER MATERIAL FOR COMMERCIAL PRODUCTS

Cellulose is a material used in producing natural fibers, which is more environmentally friendly than synthetic fibers. Rice straw waste contains much cellulose and has potential as natural fiber. However, before the natural cellulose fiber is extracted from the rice straw, it must pass through several processes, such as chemicals or nuclear radiation, especially during the pretreatment process. Furthermore, the resulting natural fibers are utilized to replace synthetic fibers for use as raw materials in manufacturing several commercial products. This review describes a process that can be applied to manufacture natural fibers from rice straw and commercial products made from natural cellulose fibers.

A numerical investigation of the statistical size effect in non-crimp fabric laminates under homogeneous compressive loads

The compressive strength of fiber reinforced composites is typically limited by a shear localization phenomenon known as microbuckling and is very sensitive to local imperfections of fiber alignment. Local misalignments act as randomly distributed flaws and introduce a dependence of the compressive strength on the size of material volume element under consideration. For homogeneously loaded material elements, weakest-link theory in combination with a Weibull power law is a frequently employed statistical model for microbuckling strength. This implies a dependence of strength on the size of volume under consideration. The present contribution investigates the strength–size relation for a non-crimp fabric via a numerical approach. Characteristics of the misalignment flaws used in simulations are derived from a comprehensive data set collected via large-scale measurements of roving dislocations on dry fiber material. Predictions resulting from the weakest-link Weibull theory are compared against strength–size statistics gathered by numerical analysis. In this manner, the size effects in single plies and laminates are quantified. The main findings are that weakest-link Weibull theory is well suited to predict size related strength loss in individual plies. However, it is also found that when plies are bonded to form laminates, misalignments in individual plies are mitigated in a way that is inconsistent with the weakest-link assumption. In all situations considered here, the strength loss expected from weakest-link Weibull theory was outweighed by a strength increase due to the mitigation effect when the volume was increased by adding extra layers to a laminate.

Media Adaptation of Mask Making in Malang: Study of Functional and Process for Making Fiber Masks

The mask is the main attribute in Malang Mask Show. The representation of Malang masks has undergone adaptation along with the development of the times, which were originally made of wood. This study aims to analyze the Malang mask material from the adaptation process of fiber raw materials as its component. The research approach method is descriptive qualitative. Data collection techniques using observation and interviews as the unit of analysis descriptively. The results of the study on the adaptation of the raw material for making Malang masks from wood into fiber as a medium of learning and the preservation of local culture as a medium of learning in schools. The technique of making Malang masks with fiber material uses the basic principles of printing and finishing techniques in the painting process using acrylic paint. An important finding from this research is that the Malang Mask making material using fiber has long durability, does not rot because it is synthetic

A chitosan fiber as green material for removing Cr(VI) ions and Cu(II) ions pollutants

The application shell uses cellulose as a green and recyclable fiber material, which has great value in the field of water treatment environment. Varying factors, including pH value, dosage of CS, reaction time and original Cr(VI) ions and Cu(II) ions were studied to investigate the Cr(VI) and Cu(II) ions removal efficiency. The obtained shell trichlorocellulose has better permeability to copper ions, which is mainly due to the different oxide states of copper ions and chromium ions in a pH environment, which lead to different combinations. The price of shell cellulose neutralization is relatively low. Metal ions have better absorption properties. The kinetic and thermodynamic characteristics of the adsorption process of copper ions by chitosan yarns were discussed. The adsorption process of copper ions conformed to the quasi-second-order kinetic equation. It can be fitted by Langmuir isotherm. The adsorption of copper ions by the yarn is a spontaneous thermal reaction with both physical adsorption and chemical adsorption. Compared with chromium ions, chitosan fibers have better adsorption of copper ions, which is mainly because the amino groups in chitosan fibers can have good chelation with copper ions. SEM, FTIR, XRD were used to characterize the adsorption of copper ions by chitosan fibers, and the mechanism of the adsorption of metal ions by chitosan fibers was explored.

Design and Mechanical Properties of a New Clamp-Type Carbon Fiber Materials Tension Anchoring System

Carbon fiber materials are widely used in bridge reinforcement techniques, while conventional carbon fiber material tensile anchoring equipment produces a large prestressed loss. This paper analyzes the deficiencies of existing tensile anchoring systems at home and abroad, summarizing the cause of prestressed losses, and combining with existing anchoring systems, a new type of clamp type carbon fiber cloth tension anchoring system is proposed. The amount of deformation of the anchoring system is reduced by about 20%, which in turn reduces the system prestress loss caused by the system deformation. The ABAQUS finite element analysis software is used to numerically simulate the thickness of the tension anchor system and the force of the fixture at different inclination angles. Compare the experimental measurement data, under consideration of the mechanical properties of the system, making errors, and installation convenient prerequisites, the mechanical properties of the system are optimal when the thickness of the fixed plate is 30mm and the clamp tilt angle is 5 °.

Classification of Material Type from Optical Coherence Tomography Images Using Deep Learning

Classification of material type is crucial in the recycling industry since good quality recycling depends on the successful sorting of various materials. In textiles, the most commonly used fiber material types are wool, cotton, and polyester. When recycling fabrics, it is critical to identify and sort various fiber types quickly and correctly. The standard method of determining fabric fiber material type is the burn test followed by a microscopic examination. This traditional method is destructive, tedious, and slow since it involves cutting, burning, and examining the yarn of the fabric. We demonstrate that the identification procedure can be done nondestructively using optical coherence tomography (OCT) and deep learning. The OCT image scans of fabrics that are composed of different fiber material types such as wool, cotton, and polyester are used to train a deep neural network. We present the results of the created deep learning models’ capability to classify fabric fiber material types. We conclude that fiber material types can be identified nondestructively with high precision and recall by OCT imaging and deep learning. Because classification of material type can be performed by OCT and deep learning, this novel technique can be employed in recycling plants in sorting wool, cotton, and polyester fabrics automatically.

Identification of Deposited Oil Structures on Thin Porous Oil Mist Filter Media Applying µ-CT Imaging Technique

The identification of microscale oil structures formed from deposited oil droplets on the filter front face of a coalescence filter medium is essential to understand the initial state of the coalescence filtration process. Using µ-CT imaging and a deep learning tool for segmentation, this work presents a novel approach to visualize and identify deposited oil structures as oil droplets on fibers or oil sails between adjacent fibers of different sizes, shapes and orientations. Furthermore, the local and global porosity, saturation and fiber ratios of different fiber material of the oleophilic filter medium was compared and evaluated. Especially the local and global porosity of the filter material showed great accordance. Local and global saturation as well as the fiber ratios on local and global scale had noticeable differences which can mainly be attributed to the small field of view of the µ-CT scan (350 µm on 250 µm) or the minimal resolution of approximately 1 µm. Finally, fiber diameters of the investigated filter material were analyzed, showing a good agreement with the manufacturer’s specifications. The analytical approach to visualize and analyze the deposited oil structures was the main emphasis of this work.

Optimizing Empty Fruit Bunch (EFB) of palm and glass powder as a partial substitution material of fine aggregate to increase compressive and tensile strength of normal concrete

As a material of construction, concrete have a good compressive strength but low tensile strength. From the previous study, reducing the tensile weakness of the concrete using empty fruit bunch (EFB) of Palm for the concrete mix have a significant result. But in contrary, the use of this fiber decreases the compressive strength of concrete. This research aims to optimize a mixture of glass powders on EFB fiber as a solution to increase the compressive and tensile in strength of concrete as well. The fiber material requires pre condition treatment which is soaked in 10% NaOH for 6-10 hours, then is followed with drying for 24 hours and finally cutting into 4 cm pieces long. Using glass powder as mix design with fiber material which is substitute for fine aggregate in concrete. Variation of 0.25%, 0.5%, 0.75%, 1%, 1,25%, 1,5%, 1,75%, and 2% fiber material mix up with 10% glass powder used for concrete specimens with a diameter of 15 cm and a height of 30 cm at the age of 28 days testing. The results of this study shows an increase in the compressive and tensile strength of concrete compare to normal concrete. The optimum compressive increase 21.02% of normal concrete which is 24.87 MPa. Meanwhile the tensile strength an increase of 31,78% of normal concrete which is 3,11 MPa using 1% fibre and 10% of glass powder. Hence, using glass powder mix in EFB to increase compressive and tensile strength of concrete can be developed optimally in the future.