Along This paper deals with research on firearm barrel processing and aims to improve firearm performance, accuracy, and machinability. The barrel is one of the key parts of a firearm and has a direct impact on shaping the trajectory of ammunition. In particular, durability and reliability are required due to the enormous heat generated as the bullet passes through. In this study, experiments were conducted under the processing conditions used in barrel processing to identify and analyze the characteristics. Various technologies and methods were investigated and analyzed. To achieve this, the cutting force generated during conventional barrel processing was measured to determine the level of stress on the material. In addition, we determined the suitability of tools and cutting conditions used in metal processing to identify conditions that can maximize productivity. This paper is expected to contribute to improving firearm performance by suggesting a plan to optimize processing conditions to the firearms manufacturing industry. Additionally, it can be used as a reference for barrel processing by other researchers.

Smart factory companies are installing various sensors in production facilities and collecting field data. However, there are relatively few companies that actively utilize collected data, academic research using field data is actively underway. This study seeks to develop a model that detects anomalies in the process by analyzing spindle power data from a company that processes shafts used in automobile throttle valves. Since the data collected during machining processing is time series data, the model was developed through unsupervised learning by applying the Holt Winters technique and various deep learning algorithms such as RNN, LSTM, GRU, BiRNN, BiLSTM, and BiGRU. To evaluate each model, the difference between predicted and actual values was compared using MSE and RMSE. The BiLSTM model showed the optimal results based on RMSE. In order to diagnose abnormalities in the developed model, the critical point was set using statistical techniques in consultation with experts in the field and verified. By collecting and preprocessing real-world data and developing a model, this study serves as a case study of utilizing time-series data in small and medium-sized enterprises.

Prepreg is an abbreviation of Preimpregnated Materials. It is a sheet-type product in which a matrix is ​​impregnated with reinforced fiber. The prepreg has very different properties depending on the orientation of the fibers and the weaving method, and the orientation of the fibers plays an important role in determining the mechanical strength of CFRP. Short and randomly oriented reinforcing fibers show isotropy, while long, unidirectional reinforcing fibers exhibit anisotropic behavior and are strongest when the applied load is parallel to the reinforcing fibers. Classification by the direction of the fiber is divided into unidirectional, orthogonal, multiaxial, and the like. Uni-directional refers to a state in which almost all fibers in the fabric are aligned in one direction. When the fibers used as reinforcing materials are aligned in one direction, the fibers are used in a straight line without twisting during the fabric production process, and there is an advantage in that the amount of fibers used as a whole can be minimized. A uni-directional prepreg exhibits different cutting forces depending on the stacking orientation angle. In this experiment, the optimal cutting conditions for a uni-directional prepreg 45 degree orientation angle specimen are presented.

In this study, in order to confirm the machining characteristics of AISI 1020 CD-Bar, cutting was performed after strength measurement, and surface roughness analysis was performed according to cutting conditions. Tensile strength was reduced by about 27.7% compared to AISI 1045 material, and Rockwell hardness HRC was reduced by 46.7%. The surface roughness measurement after cutting was divided into roughing, semi-finishing and finishing turning. In particular, in finishing machining, the best surface roughness was confirmed when the cutting speed was 150m/min and the depth of cut was 0.6mm based on the feed rate of 0.05mm/rev.

Recently, halogen lamps for vehicle exterior lamp systems are being replaced by LEDs (Light Emitting Diode) in consideration of miniaturization, power consumption, life, luminance, and eco-friendliness. Due to regulations on the amount of light required, luminance, light uniformity, and glare prevention, it is required to develop a light guide for controlling a light source of an LED lamp for a vehicle. For the development of the light guides, the development of machining technology that can cut micro patterns of hundreds of micrometers scale into surface roughness of tens of nanometers scale must be preceded. In this study, the effect of variations in cutting conditions on surface roughness was analyzed through experiments. The micro patterns was manufactured by cutting into STAVAX material, and the surface of the micro patterns was super-finished using a ball-shaped PCD (polycrystalline diamond) tool without flutes. In experiments, the cutting conditions of the super-finishing process were varied, and the varied cutting conditions were feed rate, radial depth of cut, and spindle speed

The purpose of using coolant in machining is both to increase a tool life and also to prevent product deformation and thus, stabilize the surface quality by lubricating and cooling the tool and the machining surface. However, a very small amount of cutting mist should be used because chlorine-based extreme pressure additives are used to generate environmental pollutants in the production process and cause occupational diseases of workers. In this study, medical titanium alloy (Ti-6Al-7Nb) was subjected to a processing experiment by selecting factors and levels affecting cutting power in the processing of the Aerosol Dry Lubrication (ADL) method using vegetable oil. The machining shape was a slot to sufficiently reflect the effect of the cutting depth. As for the measurement of cutting force, the trend of cutting characteristics was identified through complete factor analysis. The factors affecting the cutting force of ADL slot processing were identified using the reaction surface analysis method, and the characteristics of the cutting force according to the change in factor level were analyzed. As the cutting speed increased, the cutting force decreased and then increased again. The cutting force continued to increase as the feed speed increased. The increase in the cutting depth increased the cutting force more significantly than the increase in the cutting speed and the feed speed. Through the reaction surface analysis method, the regression equation for predicting cutting force was identified, and the optimal processing conditions were proposed. The cutting force was predicted from the secondary regression equation and compared with the experimental value.

Demand for CFRP with new characteristics is increasing in various industrial fields, from parts materials to daily necessities, and research on this is also being actively conducted. CFRP is a material that realizes properties suitable for multiple functions that cannot be seen in a single material by physically combining two or more materials with different shapes and chemical compositions. When machining CFRP using a high-speed steel (HSS) drill or a TiAlN-coating drill with different rotation speed and feed speed, the cutting force was experimentally analyzed and the optimal tool material and cutting conditions were selected. The cutting force according to the change in rotation speed of the high-speed steel drill and the TiAlN-coating drill is compared.

SiAlON-based ceramics are a type of oxynitride ceramics, which can be used as cutting tools for heatresistant super alloys (HRSAs). These ceramics are derived from Si3N4 ceramics. SiAlON can be densified using gaspressure reactive sintering from mixtures of oxides and nitrides. In this study, we prepare an α-/β-SiAlON ceramic composite with a composition of Yb0.03Y0.10Si10.6Al1.4O1.0N15.0. The structure and mechanical/thermal properties of the densified SiAlON specimen are characterized and compared with those of a commercial SiAlON cutting tool. By observing the crystallographic structures and microstructures, the constituent phases of each SiAlON ceramic, such as α- SiAlON, β-SiAlON, and intergranular phases, are identified. By evaluating the mechanical and thermal properties, the contribution of the constituent phases to these properties is discussed as well.

Molds are actively used for mass production of products such as mobile phones. Molds are required to be durable and have a high level of surface roughness. Therefore, the optimization of mold processing is essential. In this study, the cutting processing of SDP20 steel used in molds was analyzed and optimized. This study is expected to contribute to the improvement of product productivity to which plastics are applied.

Recently, with the development of ultra-precision technology, the quality improvement of optical parts and various products is emerging. The need for a difficult-to-cut material that is light and exhibits high hardness and high strength physical properties is being emphasized. Ultra-precision machining processing solutions for these difficult-to-cut materials are being actively developed. In this research, experiments were performed using a DTM machine equipped with a laser-assisted machining module for ultra-precision machining of CaF2 materials that are brittle but exhibit high transmittance in a wide range from ultraviolet to infrared.

Here, we report the development of a new and low-cost core-shell structure for lithium-ion battery anodes using silicon waste sludge and the Ti-ion complex. X-ray diffraction (XRD) confirmed the raw waste silicon sludge powder to be pure silicon without other metal impurities and the particle size distribution is measured to be from 200 nm to 3 μm by dynamic light scattering (DLS). As a result of pulverization by a planetary mill, the size of the single crystal according to the Scherrer formula is calculated to be 12.1 nm, but the average particle size of the agglomerate is measured to be 123.6 nm. A Si/TiO2 core-shell structure is formed using simple Ti complex ions, and the ratio of TiO2 peaks increased with an increase in the amount of Ti ions. Transmission electron microscopy (TEM) observations revealed that TiO2 coating on Si nanoparticles results in a Si-TiO2 core-shell structure. This result is expected to improve the stability and cycle of lithium-ion batteries as anodes.

본 연구에서는 절삭식 정미기 도입에 따른 실효성을 분석하기 위해 개발된 절삭식 정미기의 경제성을 비용/편익 분석(B/C ratio), 손익분기점, 기존의 정미기와의 비교 및 수입대체효과의 4가지 측면에서 분석하였다. 절삭식 정미기의 가동률에 따른 비용/편익 비율은 가동률 60%, 80%에서 모두 1 초과로 추정되었다. 손익분기점은 가동률 60%에서는 절삭식 정미기 운용을 시작한 지 3.4년 정도 경과한 시점부터 순이익이 발생하였다. 또한 가동률 80%의 경우 정백미 생산을 시작한 지 66일째부터 수익이 발생하여 절삭식 정미기 운용 후 2.56년 정도부터 순이익이 발생하는 것으로 나타났다. 개발된 절삭식 정미기를 기존의 국산 및 수입 정미기 4종과 비교한 결과 국산에 비해서 가격 및 수리비용에서는 다소 높은 값을 보였으나, 에너지 소비량이 적고 설치공간이 작은 장점을 보였다. 수입된 정미기에 비해서는 에너지 소비량, 가격, 설치공간 및 수리비용에서 충분한 경쟁력을 보였다. 이에 따라 수입된 정미기 100대를 개발된 정미기로 대체할 경우 668억 수준의 높은 수입대체효과를 기대할 수 있을 것으로 나타났으며, 국내 시장에서 절삭식 정미기의 시장점유율을 높일 수 있을 것으로 시사되었다.