Initiatives for the future
Introducing FES Inc.’s initiatives for the future.
Development of composite high-performance resin powder materials for 3D printers
Flame retardant of 3D printer materials using PBF/SLS method
Rendering the completed concept drawing with CG
Required materials
Develop materials for 3D printers that enable the manufacture of lightweight, high-strength, low-cost, low environmental impact molded bodies with high flame retardant performance, and establish an AM molding process (AM molding: Additive Manufacturing = 3D printer molding) using these new materials.
Resin flame retardants are divided into three major types: red phosphorus flame retardants, halogenated flame retardants, and hydrated metal flame retardants. Among them, phosphorous-based ones, originally known for burning by attaching to the tip of a matchstick, are known for their very interesting performance of daring to burn quickly, creating a layer of carbonized layer and blocking the oxygen necessary for combustion and the combustible gases coming out of the resin.
Flame-retardant improvement technology
High flame retardancy can be achieved with the addition of a small amount of phosphorus flame retardants.
The flame retardancy is achieved by the formation of a micron-order carbonized layer (char) that interrupts the combustion cycle during combustion by densely compounding biofiller (wood powder, cellulose fiber, etc.) into the resin.
This technology has been studied as a material for injection molding by the project’s co-researcher, Professor Tatsuya Tanaka of the Faculty of Science and Engineering at Doshisha University, and the results of clarification of the combustion mechanism and combustion test data of injection molded samples will be used to achieve the flame retardant performance of composite materials for 3D printers targeted in this project.
Utilization of CNF (cellulose nanofiber)
Development of high-strength resin additives for material reduction toward SDGs sustainable society
Comparison enlarged view
About the required material CNF
Cellulose nanofiber (CNF) is a fibrous material made by disentangling cellulose, the main component of wood and other plants, to a diameter of several to several tens of nanometers (1 nanometer = 1 billionth of a meter). Cellulose nanofibers made from plants are known to have a low environmental impact and have various excellent properties.
The width of this minimum unit fiber material “cellulose microfibril” is 3-4 nanometers, and the specific gravity is one-fifth that of steel (1.5 grams per cubic centimeter). It can secure bending strength and tensile strength five times.Thermal deformation is as small as quartz glass, and it is resistant to temperature changes.It also has gas barrier performance that makes it difficult for gases such as oxygen to pass through.
In fact, it is expected to be used for a wide range of purposes, and paper manufacturers are currently research and development and application development are underway in a variety of industries, including the industry, but the current difficulty in manufacturing and high prices are hindering their widespread use.
Aiming to halve the material by adding a small amount
By neatly dispersing the chains of a molecule called CNF, unexpected performance is achieved. However, because it is so thin, it is difficult to halve the amount of physical glass fiber backup using the hand layup method we have been using. Therefore, short carbon fibers are blended with CNF-dispersed resin and impregnated into glass fibers. It is necessary to consider this material distribution.
By combining three materials with different thicknesses used as industry standards: long fibers of glass fibers, short fibers made from crushed recycled carbon, and fine fibers that have been reduced to the size of molecules, we have created an unprecedented product. Strong expression is predicted. Accelerate the dispersal of the optimal amount of ingredients and testing, and establish a system for stable supply.
Exploring the separation and reuse of recyclable materials (biodegradable plastics) and waste as a sustainable initiative.
AI Python
Determining the difficulty of production using image recognition deep learning and increasing the accuracy of estimates by centralizing cost calculations.
Making FRP lighter and stronger using cellulose nanofibers.
Exploring and studying to create products that are safe for the environment and fires by using noncombustible materials.
Developing an air purifier as one of our efforts to combat the COVID-19 pandemic.